diff --git a/.autodoc/docs/data/args.json b/.autodoc/docs/data/args.json new file mode 100644 index 0000000000..9e212768be --- /dev/null +++ b/.autodoc/docs/data/args.json @@ -0,0 +1 @@ +{"space":"cosine","numDimensions":1536} \ No newline at end of file diff --git a/.autodoc/docs/data/docstore.json b/.autodoc/docs/data/docstore.json new file mode 100644 index 0000000000..632ae98b54 --- /dev/null +++ b/.autodoc/docs/data/docstore.json @@ -0,0 +1 @@ +[["0",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/ci/import_gpg.sh)\n\nThis code is a Bash script that sets up GPG2 for reading a passphrase from parameters. It is used in the larger project to enable secure communication between different components of the system. \n\nThe script first creates a directory called `.gnupg` in the user's home directory and sets its permissions to 700. It then adds two lines to the `gpg.conf` file: `use-agent` and `pinentry-mode loopback`. These lines configure GPG to use an agent for passphrase management and to use a loopback mechanism for pinentry, which allows the passphrase to be entered via parameters. The script also adds a line to the `gpg-agent.conf` file to allow loopback pinentry. Finally, it sets the permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent.\n\nThe script then decodes the GPG signing key, which should have been previously exported and stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`. The decoded key is saved to a file called `private.key` in the `.gnupg` directory. Finally, the script imports the key using the `gpg` command with the `--import` option.\n\nThis script is used in the larger project to enable secure communication between different components of the system. By setting up GPG2 with passphrase management via parameters, the system can ensure that only authorized users are able to access sensitive information. For example, if the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature. This ensures that the message has not been tampered with and that it was sent by the expected sender. \n\nExample usage of this script in the larger project:\n\n```\n#!/bin/bash\n\n# set up GPG for secure communication\n./setup_gpg.sh\n\n# encrypt and sign a message\necho \"Hello, world!\" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc\n\n# send the encrypted message to the recipient\nsend_message message.asc\n```\n## Questions: \n 1. What is the purpose of this script?\n \n This script sets up gpg2 for reading passphrase from parameters and imports a private key for signing.\n\n2. What is the significance of the environment variable \"GPG_SIGNING_KEY\"?\n \n The environment variable \"GPG_SIGNING_KEY\" contains the base64 encoded private key that is decoded and stored in the ~/.gnupg/private.key file.\n\n3. Why is the \"use-agent\" option added to the gpg.conf file?\n \n The \"use-agent\" option is added to the gpg.conf file to enable the use of the gpg-agent for caching passphrases and avoiding repeated prompts for the passphrase.","metadata":{"source":".autodoc/docs/markdown/ci/import_gpg.md"}}],["1",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/ci)\n\nThe `import_gpg.sh` script in the `.autodoc/docs/json/ci` folder is a crucial component for enabling secure communication between different parts of the system. It sets up GPG2 (GNU Privacy Guard) with passphrase management via parameters, ensuring that only authorized users can access sensitive information.\n\nThe script performs the following tasks:\n\n1. Creates a `.gnupg` directory in the user's home directory with permissions set to 700.\n2. Configures GPG to use an agent for passphrase management and loopback mechanism for pinentry by adding `use-agent` and `pinentry-mode loopback` lines to the `gpg.conf` file.\n3. Allows loopback pinentry by adding a line to the `gpg-agent.conf` file.\n4. Sets permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent.\n5. Decodes the GPG signing key, which should be stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`, and saves it to a `private.key` file in the `.gnupg` directory.\n6. Imports the key using the `gpg` command with the `--import` option.\n\nThis script is essential for secure communication in the larger project. For instance, when the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature, ensuring the message's integrity and authenticity.\n\nHere's an example of how this script might be used in the larger project:\n\n```bash\n#!/bin/bash\n\n# set up GPG for secure communication\n./import_gpg.sh\n\n# encrypt and sign a message\necho \"Hello, world!\" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc\n\n# send the encrypted message to the recipient\nsend_message message.asc\n```\n\nIn this example, the `import_gpg.sh` script is first executed to set up GPG for secure communication. Then, a message is encrypted and signed using the `gpg` command with the recipient's email address. The encrypted message is saved to a file called `message.asc`. Finally, a hypothetical `send_message` function is called to send the encrypted message to the recipient.","metadata":{"source":".autodoc/docs/markdown/ci/summary.md"}}],["2",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala)\n\nThe code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.\n## Questions: \n 1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/Math.md"}}],["3",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat)\n\nThe `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/summary.md"}}],["4",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7)\n\nThe `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/java7/summary.md"}}],["5",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala)\n\nThe code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.\n## Questions: \n 1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/AnyVals.md"}}],["6",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala)\n\nThe code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.\n## Questions: \n 1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/DFunc.md"}}],["7",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala)\n\nThe code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n## Questions: \n 1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactIntegral.md"}}],["8",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala)\n\nThe code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```\n## Questions: \n 1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactNumeric.md"}}],["9",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala)\n\nThe code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.\n## Questions: \n 1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactOrdering.md"}}],["10",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala)\n\nThe code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.\n## Questions: \n 1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/Lazy.md"}}],["11",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala)\n\nThe code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.\n## Questions: \n 1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/OverloadHack.md"}}],["12",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala)\n\nThe code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.\n## Questions: \n 1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/TypeDesc.md"}}],["13",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala)\n\nThe code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.\n## Questions: \n 1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/WrapSpec.md"}}],["14",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/package.scala)\n\nThe code above defines a package object called \"scalan\" which contains several utility functions and values that can be used throughout the project. \n\nThe first function defined is \"rtypeToClassTag\", which allows for implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available. This function takes an implicit parameter of type RType[A] and returns a ClassTag[A]. This function is useful for cases where a ClassTag is needed but not explicitly provided, as it allows the compiler to find the appropriate ClassTag based on the type of the input parameter.\n\nThe next two values defined are \"EmptyArrayOfInt\" and \"EmptySeqOfInt\". These are both immutable empty collections of integers that should be used instead of allocating new empty arrays or sequences. The \"EmptySeqOfInt\" value is backed by the \"EmptyArrayOfInt\" array, and is preferred over using \"Seq[Int]()\" or \"Seq.empty[Int]\". These values are useful for cases where an empty collection of integers is needed, as they avoid unnecessary allocations.\n\nThe final function defined is \"emptyDBufferOfInt\", which creates a new empty buffer around a pre-allocated empty array. This function is preferred over creating an empty debox.Buffer directly because it allows for the avoidance of allocation of the empty array. Note that this function allocates a new Buffer, but the underlying empty array is shared. This is safe because empty arrays are immutable. This function is useful for cases where an empty buffer of integers is needed, as it avoids unnecessary allocations.\n\nOverall, this code provides several utility functions and values that can be used throughout the project to avoid unnecessary allocations and improve performance.\n## Questions: \n 1. What is the purpose of the `implicit def rtypeToClassTag` method?\n \n This method allows implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available.\n\n2. What is the difference between `EmptyArrayOfInt` and `EmptySeqOfInt`?\n \n `EmptyArrayOfInt` is an immutable empty array of integers, while `EmptySeqOfInt` is an immutable empty Seq[Int] backed by an empty array. It is recommended to use `EmptySeqOfInt` instead of `Seq[Int]()` or `Seq.empty[Int]`.\n\n3. Why is `emptyDBufferOfInt` preferred over creating an empty `debox.Buffer` directly?\n \n `emptyDBufferOfInt` creates a new empty buffer around a pre-allocated empty array, which allows avoiding allocation of the empty array. The underlying empty array is shared, which is safe because empty arrays are immutable.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/package.md"}}],["15",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala)\n\nThe CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n## Questions: \n 1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/CommonReflection.md"}}],["16",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala)\n\nThe `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.\n## Questions: \n 1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/JavaImpl.md"}}],["17",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala)\n\nThe code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.\n## Questions: \n 1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/RClass.md"}}],["18",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala)\n\nThe code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.\n## Questions: \n 1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/StaticImpl.md"}}],["19",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/package.scala)\n\nThe code provided is a Scala package object that contains two methods: `mkMethod` and `mkConstructor`. These methods are used for creating reflective methods and constructors, respectively. \n\nThe `mkMethod` method takes in three parameters: `clazz`, `name`, and `paramTypes`. `clazz` is a `Class` object that represents the class that the method belongs to. `name` is a `String` that represents the name of the method. `paramTypes` is a sequence of `Class` objects that represent the parameter types of the method. The method also takes in a `handler` function that takes in an `Any` object and an array of `AnyRef` objects and returns an `Any` object. The `mkMethod` method returns a tuple that contains a tuple of the method name and parameter types, and an instance of the `SRMethod` class that extends the `RMethod` trait. The `SRMethod` class overrides the `invoke` method of the `RMethod` trait to call the `handler` function with the `obj` and `args` parameters.\n\nThe `mkConstructor` method takes in a single parameter `parameterTypes`, which is an array of `Class` objects that represent the parameter types of the constructor. The method also takes in a `handler` function that takes in an array of `AnyRef` objects and returns an `Any` object. The `mkConstructor` method returns an instance of the `SRConstructor` class that extends the `RConstructor` trait. The `SRConstructor` class overrides the `newInstance` method of the `RConstructor` trait to call the `handler` function with the `args` parameter.\n\nThese methods can be used in a larger project that requires reflective methods and constructors. For example, if a project needs to dynamically create instances of classes or invoke methods on objects at runtime, these methods can be used to achieve that. Here is an example of how the `mkMethod` method can be used:\n\n```\nclass MyClass {\n def myMethod(param1: Int, param2: String): String = {\n s\"$param1 $param2\"\n }\n}\n\nval myClass = new MyClass\nval methodTuple = (\"myMethod\", Seq(classOf[Int], classOf[String]))\nval reflectiveMethod = reflection.mkMethod(classOf[MyClass], methodTuple._1, methodTuple._2) { (obj, args) =>\n obj.asInstanceOf[MyClass].myMethod(args(0).asInstanceOf[Int], args(1).asInstanceOf[String])\n}\nval result = reflectiveMethod._2.invoke(myClass, 1, \"hello\")\nprintln(result) // prints \"1 hello\"\n```\n\nIn this example, we create an instance of the `MyClass` class and use the `mkMethod` method to create a reflective method that calls the `myMethod` method on the `MyClass` instance. We then invoke the reflective method with the `invoke` method and pass in the `MyClass` instance and the method parameters. The result is printed to the console.\n## Questions: \n 1. What is the purpose of the `mkMethod` function?\n- The `mkMethod` function creates a new instance of `SRMethod` with the given class, name, and parameter types, and sets its `invoke` method to the provided `handler` function.\n\n2. What is the difference between `mkMethod` and `mkConstructor`?\n- `mkMethod` creates a new instance of `SRMethod`, while `mkConstructor` creates a new instance of `SRConstructor`. `SRMethod` represents a method of a class, while `SRConstructor` represents a constructor of a class.\n\n3. What is the purpose of the `reflection` package object?\n- The `reflection` package object contains utility functions for working with reflection in Scala, such as `mkMethod` and `mkConstructor`.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/package.md"}}],["20",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection)\n\nThe `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/summary.md"}}],["21",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan)\n\nThe `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/summary.md"}}],["22",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala)\n\nThe CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.\n## Questions: \n 1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/CollectionUtil.md"}}],["23",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala)\n\nThe code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```\n## Questions: \n 1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/Extensions.md"}}],["24",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala)\n\n# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```\n## Questions: \n 1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/GraphUtil.md"}}],["25",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala)\n\nThe `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```\n## Questions: \n 1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/MemoizedFunc.md"}}],["26",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala)\n\n# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.\n## Questions: \n 1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/StringUtil.md"}}],["27",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util)\n\nThe `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/summary.md"}}],["28",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala)\n\nThe `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.\n## Questions: \n 1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/VersionContext.md"}}],["29",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala)\n\nThe code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.\n## Questions: \n 1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/kiama.md"}}],["30",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala)\n\nThe code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n## Questions: \n 1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.md"}}],["31",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala)\n\n## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n## Questions: \n 1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.md"}}],["32",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala)\n\nThe code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.md"}}],["33",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting)\n\nThe code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.md"}}],["34",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama)\n\nThe code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/summary.md"}}],["35",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala)\n\n# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.\n## Questions: \n 1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.md"}}],["36",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util)\n\nThe `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/summary.md"}}],["37",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate)\n\nThe code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/summary.md"}}],["38",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala)\n\nThe `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.\n## Questions: \n 1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/util.md"}}],["39",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala)\n\nThe code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala/summary.md"}}],["40",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.md"}}],["41",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala)\n\nThe code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.\n## Questions: \n 1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.md"}}],["42",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.md"}}],["43",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/summary.md"}}],["44",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.11/summary.md"}}],["45",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama)\n\nThe code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.md"}}],["46",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala)\n\nThe code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n## Questions: \n 1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.md"}}],["47",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.md"}}],["48",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate)\n\nThe code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/summary.md"}}],["49",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12)\n\nThe `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.12/summary.md"}}],["50",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama)\n\nThe `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.md"}}],["51",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala)\n\nThe code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.\n## Questions: \n 1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.md"}}],["52",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util)\n\nThe `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.md"}}],["53",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate)\n\nThe `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/summary.md"}}],["54",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13)\n\nThe `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/scala-2.13/summary.md"}}],["55",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main)\n\nThe code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/main/summary.md"}}],["56",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src)\n\nThe code in the `.autodoc/docs/json/common/shared/src` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `main` subfolder.\n\nThe `main` subfolder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.","metadata":{"source":".autodoc/docs/markdown/common/shared/src/summary.md"}}],["57",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared)\n\nThe code in the `.autodoc/docs/json/common/shared` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `src` subfolder.\n\nThe `src` subfolder contains a `main` subfolder, which in turn contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.","metadata":{"source":".autodoc/docs/markdown/common/shared/summary.md"}}],["58",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common)\n\nThe code in the `.autodoc/docs/json/common` folder and its subfolders plays a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The `shared` folder contains a `src` subfolder, which is further divided into a `main` subfolder and several version-specific subfolders for Scala.\n\nThe `main` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe version-specific subfolders (`scala-2.11`, `scala-2.12`, and `scala-2.13`) contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.","metadata":{"source":".autodoc/docs/markdown/common/summary.md"}}],["59",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare.txt)\n\nThe code provided is a constructor for a class called ErgoLikeTransactionTemplate. This class is likely used in a larger project to create and manage transactions on the Ergo blockchain. \n\nThe constructor takes in several parameters, including dataInputs, inputs, outputCandidates, and tokens. These parameters are used to define the inputs and outputs of the transaction, as well as any additional data that needs to be included. \n\nThe outputCandidates parameter is a Vector of ErgoBoxCandidate objects, which represent the outputs of the transaction. Each ErgoBoxCandidate contains information about the value and script of the output box. The script is defined using the ErgoTree class, which represents a script in the ErgoScript language. \n\nThe inputs parameter is also a Vector, but it contains UnsignedInput objects that represent the inputs to the transaction. These inputs are used to reference existing boxes on the blockchain that will be spent in the transaction. \n\nThe tokens parameter is a Map that defines any tokens that will be included in the transaction. Tokens are a feature of the Ergo blockchain that allow for the creation and management of custom assets. \n\nOverall, this constructor is a key component in creating and managing transactions on the Ergo blockchain. It allows developers to define the inputs and outputs of a transaction, as well as any additional data or tokens that need to be included. \n\nExample usage:\n\n```\nval input = UnsignedInput(boxId = \"abc123\", extension = None)\nval output = ErgoBoxCandidate(value = 1000000, script = ErgoTree.fromSigmaBoolean(SigmaProp.TrueProp), creationHeight = 1000000)\nval txTemplate = ErgoLikeTransactionTemplate(dataInputs = Vector(), inputs = Vector(input), outputCandidates = Vector(output), tokens = Map())\n```\n## Questions: \n 1. What is the purpose of the ErgoLikeTransactionTemplate class?\n- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain.\n\n2. What are the inputs and outputs of this transaction?\n- The inputs of this transaction are stored in the `inputs` variable, while the output candidates are stored in the `outputCandidates` variable.\n\n3. What is the significance of the values stored in the `tokens` and `creationHeight` variables?\n- The `tokens` variable stores information about the tokens being transferred in the transaction, while the `creationHeight` variable indicates the height at which the transaction was created on the blockchain.","metadata":{"source":".autodoc/docs/markdown/compare.md"}}],["60",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare2.txt)\n\nThe code provided is a transaction template for the Ergo blockchain platform. The purpose of this code is to create a new transaction on the Ergo blockchain. The transaction includes inputs, output candidates, and data inputs. \n\nThe inputs are represented as an array of UnsignedInput objects. These inputs are used to reference the boxes that are being spent in the transaction. The output candidates are represented as an array of ErgoBoxCandidate objects. These output candidates represent the new boxes that will be created as a result of the transaction. The data inputs are represented as an array of Vector objects. These data inputs are used to provide additional data to the transaction.\n\nThe ErgoLikeTransactionTemplate class takes these inputs and creates a new transaction on the Ergo blockchain. The transaction includes the inputs, output candidates, and data inputs provided in the constructor. The transaction is then signed and broadcasted to the network.\n\nHere is an example of how this code can be used in a larger project:\n\n```python\nfrom ergo_wallet import ErgoWallet\n\n# create a new wallet\nwallet = ErgoWallet()\n\n# get unspent boxes from the wallet\nunspent_boxes = wallet.get_unspent_boxes()\n\n# create a new transaction template\ntx_template = ErgoLikeTransactionTemplate(dataInputs=[], inputs=unspent_boxes, outputCandidates=[ErgoBoxCandidate(value=100000000, ergoTree=ergo_tree, creationHeight=1000000)], tokens={})\n\n# sign the transaction with the wallet's private key\nsigned_tx = wallet.sign_transaction(tx_template)\n\n# broadcast the signed transaction to the network\nwallet.broadcast_transaction(signed_tx)\n```\n\nIn this example, the ErgoWallet class is used to manage the user's Ergo assets. The `get_unspent_boxes()` method is used to retrieve the user's unspent boxes. These boxes are then used as inputs for the transaction template. The `ErgoBoxCandidate` object is used to represent the new box that will be created as a result of the transaction. The `sign_transaction()` method is used to sign the transaction with the user's private key. Finally, the `broadcast_transaction()` method is used to broadcast the signed transaction to the network.\n## Questions: \n 1. What is the purpose of the ErgoLikeTransactionTemplate class?\n- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain.\n\n2. What are the inputs and outputs of this transaction?\n- The inputs of this transaction are stored in the \"inputs\" variable, while the output candidates are stored in the \"outputCandidates\" variable.\n\n3. What is the significance of the dataInputs and tokens variables?\n- The dataInputs variable stores any additional data that needs to be included in the transaction, while the tokens variable stores any tokens that are being transferred as part of the transaction.","metadata":{"source":".autodoc/docs/markdown/compare2.md"}}],["61",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala)\n\nThe `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.\n## Questions: \n 1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/CoreLibReflection.md"}}],["62",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala)\n\nThe code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.\n## Questions: \n 1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/SpecialPredef.md"}}],["63",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala)\n\nThe code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```\n## Questions: \n 1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/Types.md"}}],["64",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala)\n\nThe `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.\n## Questions: \n 1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Colls.md"}}],["65",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala)\n\nThe code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```\n## Questions: \n 1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.md"}}],["66",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala)\n\nThe code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.\n## Questions: \n 1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Extensions.md"}}],["67",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala)\n\nThe code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.\n## Questions: \n 1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Helpers.md"}}],["68",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/package.scala)\n\nThis code defines a package called \"special\" and two packages within it called \"collection\" and \"collection object\". The purpose of this code is to provide a type hierarchy for collections in the larger project. It defines a case class called \"CollType\" which extends the \"RType\" trait. The \"CollType\" case class takes a type parameter \"A\" and has a single field \"tItem\" of type \"RType[A]\". It also has a \"ClassTag\" field of type \"ClassTag[Coll[A]]\" which is used for runtime type checking. The \"name\" method is overridden to return a string representation of the collection type.\n\nThe \"implicit def collRType[A]\" method defines an implicit conversion from \"RType[A]\" to \"RType[Coll[A]]\". This allows for the creation of a \"CollType\" instance from an \"RType\" instance. The \"implicit def extendCollType[A]\" method extends the \"CollType\" class to allow for the retrieval of the \"tItem\" field. The \"implicit val collBuilderRType\" method defines an implicit conversion from \"CollBuilder\" to \"RType[CollBuilder]\".\n\nThe \"reflection\" value is defined to force reflection data initialization. This is necessary for the proper functioning of the \"RType\" trait.\n\nOverall, this code provides a type hierarchy for collections in the larger project. It allows for the creation of \"CollType\" instances from \"RType\" instances and provides implicit conversions for \"CollBuilder\" and \"CollType\". This code can be used to define and manipulate collections in the larger project. For example, it can be used to create a collection of integers as follows:\n\n```\nimport special.collection._\nimport scalan.RType\n\nval intCollType: RType[Coll[Int]] = collRType[Int]\n```\n## Questions: \n 1. What is the purpose of the `special` package and why is it being imported?\n - The purpose of the `special` package is not clear from this code snippet alone. It is being imported to make its contents available in this file.\n\n2. What is the `CollType` case class and how is it used?\n - `CollType` is a case class that extends `RType[Coll[A]]` and takes a type parameter `A`. It is used to define the type of a collection where the type of its elements is `A`.\n\n3. What is the purpose of the `implicit` conversions defined in the `collection` package object?\n - The `implicit` conversions defined in the `collection` package object are used to provide implicit conversions between different types, such as `RType[Coll[A]]` and `CollType[A]`. They are used to make the code more concise and easier to read.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/package.md"}}],["69",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection)\n\nThe code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/summary.md"}}],["70",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/sigma/package.scala)\n\nThe code defines a package object called \"sigma\" that contains implicit values used as type descriptors for predefined Sigma types. These types are used in the larger project to represent various data structures and objects. The RType class is used to define these types and provide reflection data initialization.\n\nThe code defines implicit values for several types, including BigInt, GroupElement, SigmaProp, AvlTree, Box, Context, Header, PreHeader, AnyValue, SigmaContract, SigmaDslBuilder, and BigInteger. These types are defined using the GeneralType and fromClassTag methods of the RType class, which take a classTag as an argument. The classTag is used to provide type information at runtime, allowing for reflection and type checking.\n\nFor example, the following code snippet shows how the BigIntRType implicit value can be used to define a variable of type RType[BigInt]:\n\n```\nimport special.sigma._\n\nval bigIntType: RType[BigInt] = BigIntRType\n```\n\nOverall, this code provides a convenient way to define and use predefined Sigma types in the larger project. By defining these types as implicit values, they can be easily accessed and used throughout the codebase without the need for explicit type annotations.\n## Questions: \n 1. What is the purpose of the `RType` class and how is it used in this code?\n- The `RType` class is used as a type descriptor for all the predefined Sigma types. It is used to define implicit values for various types, such as `BigInt`, `GroupElement`, and `SigmaProp`.\n\n2. What is the significance of the `reflection` value in this code?\n- The `reflection` value is used to force reflection data initialization. It is necessary for the `RType` class to work properly.\n\n3. What is the `SigmaContract` class and how is it used in this code?\n- The `SigmaContract` class is a predefined Sigma type and is used as a type descriptor in the `SigmaContractRType` implicit value. This allows the `RType` class to recognize and work with `SigmaContract` objects.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/package.md"}}],["71",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma)\n\nThe `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/summary.md"}}],["72",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special)\n\nThe `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/summary.md"}}],["73",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala)\n\nThe code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n## Questions: \n 1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.md"}}],["74",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers)\n\nThe `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/summary.md"}}],["75",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala)\n\nThe `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/scala/summary.md"}}],["76",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main)\n\nThe `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/main/summary.md"}}],["77",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src)\n\nThe `.autodoc/docs/json/core-lib/shared/src` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/src/summary.md"}}],["78",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared)\n\nThe `.autodoc/docs/json/core-lib/shared` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/shared/summary.md"}}],["79",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib)\n\nThe `.autodoc/docs/json/core-lib` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.","metadata":{"source":".autodoc/docs/markdown/core-lib/summary.md"}}],["80",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/poster.tex)\n\nThis code is a LaTeX document that describes a new scripting language called ErgoScript, which is designed to be a more expressive alternative to Bitcoin Script. Bitcoin Script is a stack-based language that is used to protect every coin in the Bitcoin network. However, its abilities are limited due to security issues, and it requires a hard-fork to add new cryptographic primitives to the language.\n\nErgoScript is designed as a call-by-value, higher-order functional language without recursion, with concise Scala/Kotlin syntax. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects, and all values are immutable. ErgoScript is not Turing-complete, but it is expressive enough to make the whole transactional model of Ergo Turing complete.\n\nErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover turns the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. Language expressiveness is defined by a set of predicates over context and a set of $\\Sigma$-protocol statements.\n\nThe document provides several examples of how ErgoScript can be used, including zero-knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. The document also discusses how the language can be extended with a soft-fork using versioning conventions.\n\nOverall, this code is an important part of the larger project of developing a more expressive scripting language for cryptocurrencies. It provides a detailed technical explanation of ErgoScript and its capabilities, as well as examples of how it can be used in practice.\n## Questions: \n 1. What is the purpose of ErgoScript and how does it differ from Bitcoin Script?\n \n ErgoScript is a more expressive alternative to Bitcoin Script, designed as a call-by-value, higher-order functional language without recursion. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects and all values are immutable. ErgoScript is not turing-complete, however it is expressive enough to make the whole transactional model of Ergo turing complete.\n\n2. How does ErgoScript define a guarding proposition for a coin and how is it evaluated?\n \n ErgoScript defines a guarding proposition for a coin as a logic formula which combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover is turning the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature.\n\n3. What are some examples of use cases for ErgoScript?\n \n ErgoScript can be used for zero knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc.","metadata":{"source":".autodoc/docs/markdown/docs/posters/poster.md"}}],["81",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/sources.bib)\n\nThis code is a collection of bibliographic references for a project related to blockchain technology, specifically focusing on the Bitcoin protocol and its various aspects such as security, consensus mechanisms, and cryptographic techniques. The references include research papers, conference proceedings, and online resources that discuss various topics related to the project.\n\nSome of the key topics covered in these references include:\n\n1. The Bitcoin Backbone Protocol: This protocol forms the foundation of the Bitcoin network and is responsible for maintaining the blockchain, a public ledger of all transactions. The reference by Garay et al. provides an analysis and applications of this protocol.\n\n2. Zero-Knowledge Proofs: These are cryptographic techniques that allow one party to prove to another that they know a specific piece of information without revealing the information itself. The references by Meiklejohn et al., Groth et al., and Ben-Sasson et al. discuss different aspects of zero-knowledge proofs and their applications in cryptocurrencies.\n\n3. Proof-of-Work and Proof-of-Stake: These are consensus mechanisms used in blockchain networks to validate transactions and maintain the integrity of the blockchain. The references by King et al., Kiayias et al., and Bentov et al. discuss various aspects of these mechanisms and their implications for the security and scalability of blockchain networks.\n\n4. Anonymity and Privacy: One of the key features of cryptocurrencies like Bitcoin is the ability to conduct transactions anonymously. The references by Saxena et al., Miers et al., and Sasson et al. discuss various techniques for enhancing anonymity and privacy in blockchain networks.\n\n5. Scalability and Performance: As the number of users and transactions in a blockchain network grows, it becomes increasingly important to ensure that the network can scale and maintain its performance. The references by Eyal et al., Sompolinsky et al., and Croman et al. discuss various approaches to improving the scalability and performance of blockchain networks.\n\nThese references provide a comprehensive overview of the various aspects of blockchain technology and can be used as a starting point for further research and development in this area.\n## Questions: \n 1. **What is the purpose of this code?**\n\n This code is not a functional code, but rather a collection of bibliography entries in BibTeX format. These entries are related to various research papers and articles on topics such as Bitcoin, blockchain, cryptographic techniques, and zero-knowledge proofs.\n\n2. **How can I use this code in my project?**\n\n You can use this code as a reference list for your project if you are working on a topic related to cryptocurrencies, blockchain, or cryptography. You can import this BibTeX file into your reference management software (e.g., Zotero, Mendeley, or EndNote) and use it to cite the relevant papers in your project documentation or research paper.\n\n3. **Are there any dependencies or requirements to use this code?**\n\n There are no dependencies or requirements to use this code directly. However, to effectively use the bibliography entries in your project, you will need a reference management software that supports BibTeX format, as well as a document preparation system like LaTeX that can process the citations and generate a bibliography.","metadata":{"source":".autodoc/docs/markdown/docs/posters/sources.md"}}],["82",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/posters)\n\nThe `.autodoc/docs/json/docs/posters` folder contains two files related to the ErgoScript project, which aims to develop a more expressive scripting language for cryptocurrencies as an alternative to Bitcoin Script.\n\n### poster.tex\n\nThis LaTeX document provides a detailed technical explanation of ErgoScript, a call-by-value, higher-order functional language without recursion. ErgoScript is designed with concise Scala/Kotlin syntax and supports various features such as single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, and ternary 'if' with lazy branches.\n\nThe document explains how ErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. It also describes the process of spending a coin and verifying a transaction using ErgoScript.\n\nSeveral examples of ErgoScript applications are provided, including:\n\n- Zero-knowledge ring and threshold signatures\n- Pre-issued mining rewards\n- Crowd-funding\n- Demurrage currency\n- Decentralized exchange (DEX)\n- Local Exchange Trading System (LETS)\n- Initial Coin Offering (ICO)\n- Non-interactive CoinJoin\n\nThe document also discusses how ErgoScript can be extended with a soft-fork using versioning conventions.\n\n### sources.bib\n\nThis file contains a collection of bibliographic references related to blockchain technology, focusing on the Bitcoin protocol, security, consensus mechanisms, and cryptographic techniques. These references cover key topics such as the Bitcoin Backbone Protocol, zero-knowledge proofs, proof-of-work and proof-of-stake, anonymity and privacy, and scalability and performance.\n\nDevelopers working on the ErgoScript project can use these references as a starting point for further research and development in the field of blockchain technology and cryptocurrencies.\n\nIn summary, the `.autodoc/docs/json/docs/posters` folder contains essential documentation and references for the ErgoScript project. The `poster.tex` file provides a comprehensive technical explanation of ErgoScript and its capabilities, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development.","metadata":{"source":".autodoc/docs/markdown/docs/posters/summary.md"}}],["83",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/sigmastate_protocols/compile.sh)\n\nThis code is a shell script that compiles a LaTeX document called \"sigmastate_protocols\" into a PDF file. The script first checks if the necessary commands \"pdflatex\" and \"bibtex\" are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. The \"pdflatex\" command is then run three more times to ensure that all references and cross-references are resolved correctly. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script is likely used as part of a larger project that involves creating and maintaining LaTeX documents. It could be included as part of a build process to automatically generate PDFs from LaTeX source files. For example, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. \n\nHere is an example of how this script could be used in a larger project:\n\n```\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.\n## Questions: \n 1. What is the purpose of this script?\n This script compiles a LaTeX document called \"sigmastate_protocols\" using pdflatex and bibtex, and then removes some auxiliary files.\n\n2. What are the dependencies required to run this script?\n This script requires pdflatex and bibtex to be installed. Additional packages like fonts, etc. may also be needed.\n\n3. What is the expected output of running this script?\n The expected output is a compiled PDF document called \"sigmastate_protocols\". Any auxiliary files generated during the compilation process are removed at the end of the script.","metadata":{"source":".autodoc/docs/markdown/docs/sigmastate_protocols/compile.md"}}],["84",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/sigmastate_protocols)\n\nThe `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is responsible for compiling a LaTeX document named \"sigmastate_protocols\" into a PDF file. This script is essential for generating PDFs from LaTeX source files, which can be particularly useful for projects that include technical documentation written in LaTeX.\n\nThe script starts by checking if the required commands \"pdflatex\" and \"bibtex\" are installed on the system using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nIf both commands are found, the script proceeds to run \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. To ensure that all references and cross-references are resolved correctly, the \"pdflatex\" command is run three more times. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script can be integrated into a larger project as part of a build process to automatically generate PDFs from LaTeX source files. For instance, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users.\n\nHere's an example of how this script could be used in a larger project:\n\n```bash\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.\n\nIn summary, the `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is a useful tool for compiling LaTeX documents into PDF files. It can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX.","metadata":{"source":".autodoc/docs/markdown/docs/sigmastate_protocols/summary.md"}}],["85",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_ergotree_serialization.tex)\n\nThis code is a part of a larger project and specifically deals with the serialization format of ErgoTree nodes. The purpose of this code is to provide a technical explanation of the serialization format of ErgoTree nodes. \n\nThe code consists of a section label and a reference label. The section label is used to identify the section of the code that deals with the serialization format of ErgoTree nodes. The reference label is used to reference the section of the code from other parts of the project.\n\nThe code also includes a generated subsection that provides more detailed information about the serialization format of ErgoTree nodes. This subsection is autogenerated from instrumented ValueSerializers. The purpose of this subsection is to provide a more detailed technical explanation of the serialization format of ErgoTree nodes.\n\nOverall, this code is an important part of the larger project as it provides a technical explanation of the serialization format of ErgoTree nodes. This information can be used by developers working on the project to ensure that the serialization format is implemented correctly and efficiently. \n\nExample usage of this code could include a developer referencing this section of the code to understand how to serialize ErgoTree nodes in their own code. They could also use the autogenerated subsection to gain a more detailed understanding of the serialization format.\n## Questions: \n 1. What is the purpose of this code section?\n \n This code section describes the serialization format of ErgoTree nodes.\n\n2. What is the significance of the \"generated/ergotree_serialization1.tex\" file?\n\n The \"generated/ergotree_serialization1.tex\" file contains autogenerated subsections from instrumented ValueSerializers.\n\n3. Are there any other related files or sections that provide more information about ErgoTree serialization?\n\n It is unclear from this code section if there are any other related files or sections that provide more information about ErgoTree serialization.","metadata":{"source":".autodoc/docs/markdown/docs/spec/appendix_ergotree_serialization.md"}}],["86",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_integer_encoding.tex)\n\nThis file contains two methods for encoding integer values in a compressed format. The first method is called VLQ encoding, which stands for Variable Length Quantity encoding. This method takes a long integer value as input and encodes it into a sequence of bytes that can be efficiently stored in memory. The encoded value is stored in a byte buffer, which is a fixed-size array of bytes.\n\nThe encoding process works by breaking the input value into 7-bit chunks and storing each chunk in a separate byte. The most significant bit of each byte is set to 1 to indicate that there are more bytes to follow. The least significant byte has its most significant bit set to 0 to indicate that it is the last byte in the sequence. This ensures that the encoded value can be reconstructed correctly by reading the bytes in the correct order.\n\nThe second method is called ZigZag encoding, which is used to encode signed integers into values that can be efficiently encoded with VLQ encoding. This method takes a signed 64-bit integer as input and returns an unsigned 64-bit integer, stored in a signed int because Java has no explicit unsigned support.\n\nThe encoding process works by first left-shifting the input value by 1 bit and then performing a bitwise XOR operation with the right-shifted input value by 63 bits. This converts the signed integer into an unsigned integer that can be encoded using VLQ encoding.\n\nThese encoding methods are useful for compressing large integer values that need to be stored or transmitted efficiently. They can be used in a variety of applications, such as data compression, network protocols, and file formats. For example, they could be used to compress large datasets in a database or to encode metadata in a file format. Here is an example of how to use the VLQ encoding method:\n\n```\nbyte[] buffer = new byte[10];\nint position = 0;\nlong value = 1234567890L;\nputULong(value);\n```\n\nThis code creates a byte buffer of size 10 and initializes the position to 0. It then encodes the long integer value using the putULong method and stores the encoded bytes in the buffer. The encoded value can be retrieved by reading the bytes from the buffer in the correct order and decoding them using the reverse process.\n## Questions: \n 1. What is the purpose of the \\texttt{putULong} method?\n \n The \\texttt{putULong} method is used for compressed encoding of integer values using variable-length quantity (VLQ) encoding.\n\n2. What is ZigZag encoding and why is it used?\n \n ZigZag encoding is a method of encoding signed integers into values that can be efficiently encoded with varint. It is used to avoid sign-extension of negative values to 64 bits, which would always take 10 bytes in the buffer.\n\n3. Why is the returned value of \\texttt{encodeZigZag64} stored in a signed int instead of an unsigned long?\n \n The returned value of \\texttt{encodeZigZag64} is stored in a signed int because Java has no explicit support for unsigned types.","metadata":{"source":".autodoc/docs/markdown/docs/spec/appendix_integer_encoding.md"}}],["87",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_motivation.tex)\n\nThis code is a technical explanation of the motivations and rationale behind the serialization format and constant segregation used in the Ergo blockchain's \\ASDag (Autonomous Script Dataflow Graph) language. The purpose of this code is to optimize the storage and processing of scripts in the blockchain, which is critical for efficient validation of transactions.\n\nThe first section explains the type serialization format used in \\ASDag. Since \\ASDag is a monomorphic IR, concrete types must be specified for some operations. When these operations are serialized, their types must also be serialized. To minimize the number of bytes required for type serialization, a special encoding schema is used. The most frequently used types, such as primitive types, collections of primitive types, and options of primitive types, are represented in an optimized way, preferably by a single byte. For other types, recursive descent down the type tree is used.\n\nThe second section explains the rationale behind constant segregation. In order to validate a transaction, the scripts protecting the input boxes must be executed in the context of the current transaction. This involves several steps, including deserialization of the script into ErgoTree, building cost and calc graphs, and evaluating the cost and data size limits. To optimize script evaluation, the compiled calcGraph can be cached in a map, using the script as a key. However, constants embedded in the script body can cause identical scripts to serialize to different byte arrays, making caching difficult. To solve this problem, constants are replaced with indexed placeholders, and the constants are extracted into a separate array. The serialized script contains the number of constants, the constants collection, and the script expression with placeholders. This allows the script expression part to be used as a key in the cache, and the placeholders can be bound with actual values from the constants collection before evaluation.\n\nOverall, this code demonstrates the importance of optimizing script storage and processing in the Ergo blockchain, and the clever techniques used to achieve this optimization.\n## Questions: \n 1. What is the purpose of the Type Serialization format and how does it work?\n- The Type Serialization format is designed to minimize the number of bytes required to represent a type in the serialization format of \\ASDag. It uses a special encoding schema to save bytes for the types that are used more often, while other types are serialized using recursive descent down the type tree.\n\n2. Why is Constant Segregation important for massive script validation?\n- Constant Segregation is important for massive script validation because it allows for the caching of compiled calcGraphs, which can significantly improve script evaluation performance. However, constants embedded in contracts can cause issues with caching, which is why the solution is to replace each constant with an indexed placeholder.\n\n3. How does the Constant-less ErgoTree format work?\n- The Constant-less ErgoTree format replaces constants in the body of \\ASDag with indexed placeholders. The constants are extracted and serialized separately, while the script expression is serialized with placeholders. This allows for the use of script expression as a key in the cache, and the binding of placeholders with actual values taken from the constants collection before executing the script.","metadata":{"source":".autodoc/docs/markdown/docs/spec/appendix_motivation.md"}}],["88",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_predeftypes.tex)\n\nThis code defines the predefined types used in the \\langname programming language. The table in the code lists the names, codes, and properties of each predefined type. The properties include whether the type is a constant size, whether it is a primitive type, whether it is an embedded type, whether it is a number, and the set of values it can hold. \n\nThe code then goes on to provide autogenerated subsections for each predefined type. Each subsection provides a description of the type and the methods that can be called on it. \n\nFor example, the Boolean type subsection describes the Boolean type and provides a list of methods that can be called on it, such as `and`, `or`, and `not`. Similarly, the SigmaProp type subsection describes the SigmaProp type, which holds sigma propositions that can be proved and verified using Sigma protocols. The subsection provides a list of methods that can be called on SigmaProp instances, such as `and`, `or`, and `threshold`. \n\nOverall, this code provides a comprehensive list of the predefined types used in the \\langname programming language and their associated methods. This information is useful for developers who are working with \\langname and need to understand the properties and capabilities of each type.\n## Questions: \n 1. What is the purpose of this code file?\n \n This code file defines the predefined types of a programming language called \\langname and provides autogenerated subsections for each type descriptor.\n\n2. What are some examples of predefined types in \\langname?\n \n Some examples of predefined types in \\langname include Boolean, Byte, Short, Int, Long, BigInt, GroupElement, SigmaProp, Box, AvlTree, Header, PreHeader, Context, Global, Coll, and Option.\n\n3. What is the abstract syntax of sigma propositions in \\langname?\n \n The abstract syntax of sigma propositions in \\langname is defined as a well-formed tree of sigma propositions, where each node represents a sigma protocol primitive or connective, such as TrivialProp, ProveDLog, ProveDHTuple, THRESHOLD, OR, and AND.","metadata":{"source":".autodoc/docs/markdown/docs/spec/appendix_predeftypes.md"}}],["89",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_primops.tex)\n\nThis code defines a table of predefined global functions, along with their mnemonics, signatures, and descriptions. The table is generated from sigma operation descriptors and includes functions such as SelectField, SomeValue, NoneValue, and Collection. \n\nThe purpose of this code is to provide a reference for developers working on the larger project to easily access and utilize these predefined functions. By including the signatures and descriptions, developers can quickly understand the inputs and outputs of each function and how they can be used in their code. \n\nFor example, a developer may need to extract a specific field from a tuple. They can use the SelectField function by passing in the tuple and the index of the desired field. The function will return the value of that field. \n\nOverall, this code serves as a helpful tool for developers to efficiently use the predefined global functions in their code.\n## Questions: \n 1. What is the purpose of this code file?\n- This code file defines a table of predefined global functions for a programming language called \\langname.\n\n2. What is the format of the table in this code file?\n- The table is a longtable with four columns: Code, Mnemonic, Signature, and Description. The first three columns contain text, while the last column can contain a paragraph of text.\n\n3. Where does the data for the table come from?\n- The data for the table is autogenerated from sigma operation descriptors and is located in two separate files: \"predeffunc_rows.tex\" and \"predeffunc_sections.tex\".","metadata":{"source":".autodoc/docs/markdown/docs/spec/appendix_primops.md"}}],["90",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/cleanout.sh)\n\nThis code is a shell script that removes various auxiliary files that are generated during the compilation of a LaTeX document. The purpose of this script is to clean up the project directory by removing unnecessary files that are generated during the compilation process.\n\nThe script uses the \"rm\" command to remove the following files: appendix_integer_encoding.aux, costing.aux, evaluation.aux, graph.aux, language.aux, serialization.aux, types.aux, spec.aux, spec.out, spec.toc, and spec.log. These files are all auxiliary files that are generated during the compilation of a LaTeX document.\n\nThe script can be used in the larger project as a part of the build process. After the LaTeX document is compiled, this script can be run to remove the auxiliary files that are no longer needed. This can help to keep the project directory clean and organized.\n\nHere is an example of how this script can be used in a larger project:\n\n```\n# Compile the LaTeX document\npdflatex my_document.tex\n\n# Remove the auxiliary files\n./cleanup.sh\n```\n\nOverall, this script serves a simple but important purpose in the larger project. By removing unnecessary files, it helps to keep the project directory clean and organized, which can make it easier to manage and maintain the project over time.\n## Questions: \n 1. What is the purpose of this script?\n \n This script is used to remove several auxiliary files related to the project.\n\n2. What are the consequences of running this script?\n \n Running this script will delete the specified auxiliary files. If these files are needed for the project, their deletion could cause issues.\n\n3. Are there any dependencies or requirements for running this script?\n \n This script requires a Unix-like environment and the presence of the specified auxiliary files in the current directory.","metadata":{"source":".autodoc/docs/markdown/docs/spec/cleanout.md"}}],["91",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/compile.sh)\n\nThis code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system. If they are not, it prints an error message and exits. If they are installed, it proceeds to compile the LaTeX document.\n\nThe script assumes that the LaTeX document is named \"spec.tex\" and is located in the same directory as the script. It creates a subdirectory called \"out\" and compiles the document into that directory using pdflatex. It then runs bibtex on the document to generate the bibliography, and runs pdflatex twice more to ensure that all references are properly resolved.\n\nFinally, the script runs a separate script called \"cleanout.sh\" which removes all files in the \"out\" directory except for the PDF output file.\n\nThis script can be used as part of a larger project that involves generating PDF documents from LaTeX source code. It can be called from a build system or integrated into a continuous integration pipeline to automatically generate PDFs whenever the source code is updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document \"spec.tex\" into a PDF and place it in the \"out\" directory. If any errors occur during compilation, they will be printed to the console.\n## Questions: \n 1. What is the purpose of this script?\n \n This script checks if the commands `pdflatex` and `bibtex` are installed and then runs them to generate a PDF file from a LaTeX file called `spec.tex`. It also runs a cleanup script called `cleanout.sh`.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with Unix-based operating systems that use the `sh` shell, such as Linux and macOS.\n\n3. What additional packages might need to be installed for this script to work?\n \n This script mentions that additional packages like fonts may need to be installed. For Ubuntu, it suggests installing `texlive-fonts-recommended`, `latex-xcolor`, `texlive-latex-extra`, and `cm-super`.","metadata":{"source":".autodoc/docs/markdown/docs/spec/compile.md"}}],["92",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/costing.tex)\n\nThe code in this file is related to costing in a larger project. Specifically, it deals with the calculation and accumulation of costs associated with accessing entries in a CostTable. The file name is specified using a ScriptEnv object, and the file itself should be located in the test-out directory. \n\nThe code uses explicit nodes, such as CostOf(...), to represent access to CostTable entries. The actual cost is counted in nodes like OpCost, which take dependencies (represented by symbols like s1361 and s1360) into account before accumulating the cost of the entry (represented by s983). Each OpCost node is handled by the costAccumulator.add method, which takes into account both the cost of the node and the data environment. \n\nThe OpCost node is special and is interpreted in a specific way by the evaluate method in Evaluation. The code also includes an explanation for why it is necessary to include costedValue.id in the OpCost node. Without this, the same OpCost node would be emitted twice for different context variables, but only a single node would be added to the graph due to node unification. \n\nOverall, this code is an important part of the larger project's costing functionality. It allows for the accurate calculation and accumulation of costs associated with accessing entries in a CostTable, which is likely a critical component of the project's overall functionality.\n## Questions: \n 1. What is the purpose of the \\lst{CostAccumulator} class mentioned in the code?\n- The \\lst{CostAccumulator} class is used to accumulate the actual cost represented by nodes like \\lst{s1340: Int = OpCost(2, List(s1361, s1360), s983)}.\n\n2. What is the significance of the symbols s1361, s1360 mentioned in the code?\n- The symbols s1361 and s1360 are dependencies that represent cost that should be accumulated before s983.\n\n3. Why is it necessary to add costedValue.id to the OpCost node?\n- Adding costedValue.id makes the OpCost nodes different and ensures that both are added to the graph, which is necessary in cases where two different context variables are used.","metadata":{"source":".autodoc/docs/markdown/docs/spec/costing.md"}}],["93",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/evaluation.tex)\n\nThe code is a specification of the evaluation semantics of a language called \\langname. The evaluation of \\langname is defined by translating it to another language called \\corelang, which is a subset of \\langname. The typing rules of \\corelang are a subset of the typing rules of \\langname. \n\nThe evaluation semantics of \\corelang is based on call-by-value (CBV) lambda calculus and is specified using denotational semantics. The denotational semantics is organized around the denotations of types, contexts, and terms. Each type in \\corelang denotes a set of values, and each context denotes a set of bindings for identifiers. A term in \\corelang denotes a function from the set of bindings to a value. \n\nThe code defines a set of CBV terms called values, which include variables, constructors, and lambda abstractions. All other CBV terms are called producers because they produce a value when evaluated. \n\nThe denotations of types and terms are given in Figure~\\ref{fig:denotations}. The denotations of types include \\lst{Boolean}, pre-defined types, product types, and function types. The denotations of terms include variables, constructors, tuples, function applications, and method invocations. \n\nOverall, this code provides a formal specification of the evaluation semantics of \\corelang, which is used to evaluate \\langname. This specification is important for ensuring that the language is well-defined and behaves as expected. It also provides a basis for implementing interpreters and compilers for the language.\n## Questions: \n 1. What is the difference between the typing rules of \\langname and \\corelang?\n- The typing rules of \\corelang form a subset of the typing rules of \\langname, as \\corelang is a subset of \\langname.\n\n2. What is the principle behind the denotational semantics of \\corelang?\n- The principle behind the denotational semantics of \\corelang is that each type denotes a set whose elements are the denotations of values of that type.\n\n3. How are contexts and environments related in the denotational semantics of \\corelang?\n- A context is a finite sequence of identifiers with value types, while an environment is a list of bindings for identifiers that associates each identifier with a value of its corresponding type. The environment denotes an element of the set represented by the context.","metadata":{"source":".autodoc/docs/markdown/docs/spec/evaluation.md"}}],["94",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex)\n\nThe code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language.\n\nThe syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type \"collection of integers\" using the syntax \"\\lst{Coll}[Int]\".\n\nThe syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax \"\\TyLam{x_i}{T_i}{e}\", where \"x_i\" is a variable name, \"T_i\" is the type of the variable, and \"e\" is the body of the lambda expression.\n\nFinally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax \"\\MSig{m[\\text{Int},\\text{Int}]}{\\text{x : Int},\\text{y : Int}}{\\text{Boolean}}\".\n\nOverall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language.\n## Questions: \n 1. What is the purpose of this code?\n \n This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures.\n\n2. What is the format of a lambda expression in this language?\n \n A lambda expression in this language is represented as $\\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression.\n\n3. Where can one find information about primitive operations in this language?\n \n Information about primitive operations in this language can be found in the Appendix~\\ref{sec:appendix:primops}.","metadata":{"source":".autodoc/docs/markdown/docs/spec/figures/fig_language.md"}}],["95",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex)\n\nThis code defines the reduction contexts and call-by-value evaluation relation for the \\langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\\Hole$ context represents a hole in the expression where another expression can be inserted. The $\\delta~\\Ov{v}~\\Ctx~\\Ov{e}$ context represents a primitive operation $\\delta$ applied to a list of values $\\Ov{v}$, followed by a context $\\Ctx$ and a list of expressions $\\Ov{e}$. The $\\Ctx~e$ context represents an expression $e$ in the context $\\Ctx$. Finally, the $(\\Lam{x}{e})\\Ctx$ context represents a lambda abstraction $\\Lam{x}{e}$ applied to the context $\\Ctx$.\n\nThe call-by-value evaluation relation specifies how expressions are evaluated in the \\langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values.\n\nThis code is an important part of the \\langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\\lst{let}~x=2~\\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$.\n## Questions: \n 1. What is the purpose of the \\langname project?\n- Unfortunately, the code provided does not give any indication of the purpose of the \\langname project.\n\n2. What is the meaning of the symbols used in the reduction contexts and evaluation relation?\n- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\\Hole$ represents a hole, $\\delta$ represents a primitive operation, $\\Ov{v}$ represents a sequence of values, $\\Ctx$ represents a reduction context, $\\Ov{e}$ represents a sequence of expressions, $\\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions.\n\n3. What is the significance of the numbers in parentheses at the end of each evaluation relation?\n- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \\langname language.","metadata":{"source":".autodoc/docs/markdown/docs/spec/figures/fig_semantics.md"}}],["96",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex)\n\nThe code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\nThe `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`.\n\nThe `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`.\n\nThe `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, \"hello\")` is a tuple of type `(Int, String)`.\n\nThe `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, \"hello\")` has type `Boolean`.\n\nThe `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nThe `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`.\n\nThe `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`.\n\nThe `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`.\n\nThese rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features.\n## Questions: \n 1. What is the purpose of the code?\n \n The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\n2. What is the input and output of each typing rule?\n \n Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression.\n\n3. What programming language is this code for?\n \n The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language.","metadata":{"source":".autodoc/docs/markdown/docs/spec/figures/fig_typing.md"}}],["97",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/figures)\n\nThe `.autodoc/docs/json/docs/spec/figures` folder contains three files that define the syntax, semantics, and typing rules for a programming language called \\langname. These files are essential for understanding the structure and behavior of the language, and they can be used to implement interpreters, compilers, and development tools for the language.\n\n1. **fig_language.tex**: This file provides a syntax definition for \\langname, including types, terms, and method signatures. Developers can use this syntax to write code in the language. For example, to define a variable of type \"collection of integers\", one can use the syntax `\\lst{Coll}[Int]`.\n\n2. **fig_semantics.tex**: This file defines the reduction contexts and call-by-value evaluation relation for \\langname. It specifies how expressions are evaluated in the language using reduction rules. For instance, to evaluate the expression `(\\Lam{x}{x+1})~2`, rule (1) can be applied to get `[[2/x](x+1)]`, which reduces to `3`.\n\n3. **fig_typing.tex**: This file contains inference rules for a type system, which define how to derive the type of an expression in a given context. These rules are used to statically type check expressions and can help catch errors early in the development process. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from fig_language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from fig_typing.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Evaluate an expression using the function and the semantics from fig_semantics.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the files in the `.autodoc/docs/json/docs/spec/figures` folder provide a comprehensive specification of the \\langname programming language, including its syntax, semantics, and typing rules. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.","metadata":{"source":".autodoc/docs/markdown/docs/spec/figures/summary.md"}}],["98",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex)\n\nThis file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. \n\nThe methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. \n\nOne important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. \n\nAnother useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. \n\nOverall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. \n\nExample usage:\n\n```\nval tree = new AvlTree()\ntree = tree.insert(Array[Byte](1), Array[Byte](10)).get\nval value = tree.get(Array[Byte](1))\nprintln(value) // prints Some(Array[Byte](10))\n```\n## Questions: \n 1. What is the purpose of the AvlTree class?\n- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage.\n\n2. What operations are allowed on the AvlTree?\n- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations.\n\n3. How can the state of the AvlTree be updated?\n- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/AvlTree_methods.md"}}],["99",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex)\n\nThis file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. \n\nAdditionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.\n\nThese methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. \n\nCode example:\n\n```\nval bigIntValue: BigInt = BigInt(\"12345678901234567890\")\nval byteValue: Byte = bigIntValue.toByte\nval shortValue: Short = bigIntValue.toShort\nval intValue: Int = bigIntValue.toInt\nval longValue: Long = bigIntValue.toLong\nval byteArray: Array[Byte] = bigIntValue.toBytes.toArray\nval bitArray: Array[Boolean] = bigIntValue.toBits.toArray\n```\n## Questions: \n 1. What is the purpose of these methods?\n- These methods are used to convert a BigInt value to different numeric types or representations.\n\n2. What happens if the conversion results in an overflow?\n- The methods will throw an exception if the conversion results in an overflow.\n\n3. What is the difference between the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/BigInt_methods.md"}}],["100",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex)\n\nThe code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions.\n\nThe main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests.\n\nAnother important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them.\n\nThe `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system.\n\nOverall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used:\n\n```python\n@login_required\ndef view_sensitive_data(request):\n # Only authenticated users with the appropriate permission can access this view\n if request.user.has_permission('view_sensitive_data'):\n # Return the sensitive data\n return HttpResponse('Sensitive data')\n else:\n # Return an error message\n return HttpResponse('You do not have permission to view this data')\n```\n## Questions: \n 1. What is the purpose of the `calculate_sum` function?\n - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers.\n\n2. What is the expected input format for the `calculate_sum` function?\n - The `calculate_sum` function expects a list of numbers as its input.\n\n3. What is the expected output format for the `calculate_sum` function?\n - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Boolean_methods.md"}}],["101",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex)\n\nThis code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers.\n\n1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs.\n\n2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction).\n\n3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes.\n\n4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index.\n\n5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`.\n\n6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs.\n\n7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value.\n\n8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box.\n\n9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`.\n\nThese methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data.\n## Questions: \n 1. **What is the purpose of the `Box` methods and how are they used in the code?**\n\n The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers.\n\n2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?**\n\n Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers.\n\n3. **What is the significance of the `Serialized as` field in the method descriptions?**\n\n The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Box_methods.md"}}],["102",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex)\n\nThis file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. \n\nThe toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value.\n\nThese methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. \n\nCode example:\n\n```\nval byteValue: Byte = 0x12\nval intValue: Int = byteValue.toInt\nval byteCollection: Coll[Byte] = byteValue.toBytes\nval bitCollection: Coll[Boolean] = byteValue.toBits\n```\n## Questions: \n 1. What is the purpose of these methods?\n \n These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits.\n\n2. What happens if the Byte value overflows during conversion?\n \n If the Byte value overflows during conversion, an exception will be thrown.\n\n3. What is the format of the output for the toBytes and toBits methods?\n \n The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Byte_methods.md"}}],["103",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex)\n\nThis file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. \n\nThe `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block.\n\nFor example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block.\n\nThese methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value.\n\nOverall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions.\n## Questions: \n 1. What is the purpose of the Context class?\n- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height.\n\n2. What is the result type of the Context.dataInputs method?\n- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data.\n\n3. What is the purpose of the Context.getVar method?\n- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Context_methods.md"}}],["104",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex)\n\nThis code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography.\n\nThe first method, \\lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters.\n\nThe second method, \\lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \\lst{k}, which is a \\lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \\lst{g} and a scalar \\lst{k}, we can compute \\lst{k * g} using this method.\n\nThe third method, \\lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with.\n\nThe fourth method, \\lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key.\n\nOverall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements.\n## Questions: \n 1. What is the purpose of the GroupElement class?\n- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication.\n\n2. What is the parameter for the exp method and what does it do?\n- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k.\n\n3. How does the negate method work?\n- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/GroupElement_methods.md"}}],["105",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex)\n\nThis file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block.\n\nThe methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block.\n\nEach method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block.\n\nThese methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. \n\nExample usage:\n\n```\nval header: Header = // get header object from somewhere\nval version: Byte = header.version\nval timestamp: Long = header.timestamp\nval stateRoot: AvlTree = header.stateRoot\n```\n## Questions: \n 1. What is the purpose of the Header class?\n- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information.\n\n2. What type of data does the Header.stateRoot method return?\n- The Header.stateRoot method returns an AvlTree object.\n\n3. What is the purpose of the Header.votes method?\n- The Header.votes method returns the votes that were cast for this block by validators in the network.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Header_methods.md"}}],["106",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex)\n\nThis file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value.\n\nThese methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations.\n\nHere is an example of using the `toBytes` method to convert an integer value to a byte array:\n\n```\nval intValue = 123456789\nval byteArr = intValue.toBytes\n```\n\nThis will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`.\n## Questions: \n 1. What is the purpose of these methods?\n- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits.\n\n2. What happens if the integer value overflows during conversion?\n- The methods throw an exception if the integer value overflows during conversion.\n\n3. What is the format of the output for the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Int_methods.md"}}],["107",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex)\n\nThis code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. \n\nThe toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit.\n\nThese methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. \n\nHere is an example of using the toBytes method:\n\n```\nval longValue: Long = 1234567890\nval bytes: Coll[Byte] = longValue.toBytes\n```\n\nIn this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable.\n## Questions: \n 1. What is the purpose of these methods?\n- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- An exception will be thrown if there is an overflow during the conversion.\n\n3. How is the big-endian representation of the numeric value returned in the toBytes method?\n- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15].","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Long_methods.md"}}],["108",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex)\n\nThis code appears to be a set of methods for a class called \"PreHeader\". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. \n\nEach method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. \n\nBased on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. \n\nWithout more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. \n\nExample usage of these methods might look like:\n\n```\nval preHeader = new PreHeader(...)\nval version = preHeader.version\nval parentID = preHeader.parentId\nval timestamp = preHeader.timestamp\n// and so on for other properties\n```\n## Questions: \n 1. What is the purpose of the PreHeader class?\n - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class.\n2. What are the expected inputs for the methods in the PreHeader class?\n - The code does not provide any information on the expected inputs for the methods in the PreHeader class.\n3. How are the results of the methods in the PreHeader class used in the larger project?\n - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/PreHeader_methods.md"}}],["109",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex)\n\nThis code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more.\n\n1. `size`: Returns the number of elements in the collection.\n2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value.\n3. `map`: Applies a function to each element in the collection and returns a new collection with the results.\n4. `exists`: Checks if at least one element in the collection satisfies a given predicate.\n5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right.\n6. `forall`: Checks if all elements in the collection satisfy a given predicate.\n7. `slice`: Selects a range of elements from the collection based on the given indices.\n8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate.\n9. `append`: Concatenates two collections.\n10. `apply`: Returns the element at the specified index.\n11. `indices`: Returns a collection containing the range of all indices of the original collection.\n12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results.\n13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection.\n14. `indexOf`: Returns the index of a specified element in the collection.\n15. `zip`: Combines two collections into a single collection of pairs.\n\nThese methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format.\n## Questions: \n 1. **What is the purpose of the SCollection class?**\n\n The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`.\n\n2. **How are the methods in the SCollection class serialized?**\n\n Each method in the SCollection class has a corresponding serialized form, as specified in the \"Serialized as\" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`.\n\n3. **What are the input and output types of the methods in the SCollection class?**\n\n The input and output types of the methods in the SCollection class can be found in the \"Parameters\" and \"Result\" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/SCollection_methods.md"}}],["110",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex)\n\nThis file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate.\n\nThe `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty.\n\nThe `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise.\n\nThese methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. \n\nExample usage of these methods could be as follows:\n\n```\nval myOption: SOption[Int] = SOption(5)\n\nif(myOption.isDefined){\n val value = myOption.get\n println(s\"The value is $value\")\n}\n\nval defaultValue = 10\nval result = myOption.getOrElse(defaultValue)\nprintln(s\"The result is $result\")\n\nval mappedOption = myOption.map(value => value * 2)\nprintln(s\"The mapped option is $mappedOption\")\n\nval filteredOption = myOption.filter(value => value > 10)\nprintln(s\"The filtered option is $filteredOption\")\n```\n## Questions: \n 1. What is the purpose of the SOption class?\n- The SOption class provides methods for handling optional values in a type-safe way.\n\n2. What is the difference between SOption.get and SOption.getOrElse?\n- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty.\n\n3. What is the purpose of SOption.filter?\n- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/SOption_methods.md"}}],["111",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex)\n\nThis file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. \n\nThe toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. \n\nThese methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. \n\nExample usage:\n\n```\nval shortValue: Short = 1234\nval intValue: Int = shortValue.toInt\nval byteCollection: Coll[Byte] = shortValue.toBytes\nval booleanCollection: Coll[Boolean] = shortValue.toBits\n```\n## Questions: \n 1. What is the purpose of these methods?\n- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- If there is an overflow during the conversion, an exception is thrown.\n\n3. How is the numeric value represented in the returned collection of bytes or Booleans?\n- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/Short_methods.md"}}],["112",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex)\n\nThis code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. \n\nThe `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object.\n\nThe `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object.\n\nBoth methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. \n\nExample usage of the `xor` method:\n\n```\nval left: Array[Byte] = Array(0x01, 0x02, 0x03)\nval right: Array[Byte] = Array(0x04, 0x05, 0x06)\nval result: Array[Byte] = SigmaDslBuilder.xor(left, right)\n// result is now [0x05, 0x07, 0x05]\n```\n\nOverall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project.\n## Questions: \n 1. What is the purpose of the SigmaDslBuilder.groupGenerator method?\n- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator.\n\n2. What does the SigmaDslBuilder.xor method do?\n- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes.\n\n3. Are there any parameters for the SigmaDslBuilder.groupGenerator method?\n- No, there are no parameters for the SigmaDslBuilder.groupGenerator method.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/SigmaDslBuilder_methods.md"}}],["113",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex)\n\nThis code defines two methods for the SigmaProp class: propBytes and isProven. \n\nThe propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes.\n\nThe isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not.\n\nBoth of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. \n\nExample usage of the propBytes method:\n\n```\nval sigProp = new SigmaProp(...)\nval bytes = sigProp.propBytes\n// use bytes for verification\n```\n\nExample usage of the isProven method:\n\n```\nval sigProp = new SigmaProp(...)\nval isVerified = sigProp.isProven\n// use isVerified to determine validity of signature\n```\n## Questions: \n 1. What is a Sigma proposition and how is it represented in this code?\n- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method.\n\n2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used?\n- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven.\n\n3. Are there any parameters required for these methods?\n- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/SigmaProp_methods.md"}}],["114",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex)\n\nThis file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold.\n\nThe ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value.\n\nThe EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly.\n\nThe Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn.\n\nThe Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed.\n\nThese operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code.\n## Questions: \n 1. What is the purpose of the code and what does it do?\n \n This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output.\n\n2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language?\n \n Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code.\n\n3. How might a developer modify or extend these operations to add new functionality to the language?\n \n A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/ergotree_serialization.md"}}],["115",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex)\n\nThis code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nSome of the key operations include:\n\n- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID.\n- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations.\n- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks.\n- `SelectField`: Select a tuple field by its 1-based index.\n- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results.\n- `If`: A conditional operation that computes different branches based on a boolean condition.\n- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values.\n- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands.\n- `Min` and `Max`: Find the minimum or maximum value of two operands.\n- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest.\n- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes.\n- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols.\n- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers.\n- `Apply`: Apply a function to its arguments.\n- `GetVar`: Get a context variable with a given ID and type.\n- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values.\n- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer.\n\nThese operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold.\n## Questions: \n 1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work?\n **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id.\n\n2. **Question**: How does the `Downcast` operation handle overflow situations?\n **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs.\n\n3. **Question**: What is the difference between the `AND` and `OR` operations in this code?\n **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/predeffunc_rows.md"}}],["116",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex)\n\nThis code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. \n\nFor example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. \n\nThese data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. \n\nOverall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. \n\nExample usage:\n\n```\n// Create a new Boolean object with a value of true\nBoolean myBool = true;\n\n// Serialize the Boolean object to a byte array\nbyte[] serializedBool = myBool.serialize();\n\n// Create a new GroupElement object representing a point on a curve\nGroupElement myPoint = new GroupElement(x, y);\n\n// Get the x-coordinate of the point\nBigInteger xCoord = myPoint.getX();\n```\n## Questions: \n 1. What is the purpose of this code?\n This code defines various data types and their properties, such as range of values and whether they can be serialized or not.\n\n2. What is the significance of the different data types listed?\n The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types.\n\n3. What is the meaning of the different columns in the table?\n The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/predeftypes.md"}}],["117",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/generated)\n\nThis folder contains code documentation for various classes and methods used in a larger project, likely related to a blockchain-based system. The code deals with data structures, cryptographic operations, and blockchain-specific concepts such as transactions, headers, and spending conditions.\n\nFor instance, the `AvlTree_methods.tex` file documents methods for working with AVL trees, which are self-balancing binary search trees. These methods can be used to implement efficient key-value stores or databases in the project. The `BigInt_methods.tex` and `Byte_methods.tex` files provide methods for converting numeric values to different data types and representations, which can be useful in cryptographic operations or data serialization.\n\nThe `Boolean_methods.tex` file deals with user authentication and authorization, providing classes and functions for securely managing user access to different parts of the system. The `Box_methods.tex` file documents methods for managing and manipulating Ergo tokens (NanoErg) in a blockchain-based project, providing functionality for accessing and modifying token containers.\n\nThe `Context_methods.tex` file provides methods for accessing information about transactions in the Ergo blockchain, allowing developers to create complex smart contracts that enforce specific conditions on transactions. The `GroupElement_methods.tex` file contains methods related to group elements used in elliptic curve cryptography, providing basic operations for scalar multiplication, group multiplication, and inversion of group elements.\n\nThe `Header_methods.tex` file documents methods for retrieving properties of a blockchain header, which can be used to verify the validity of a block or calculate the total difficulty of the blockchain. The `PreHeader_methods.tex` file contains methods for a class called \"PreHeader\", which likely stores metadata about a block in a blockchain.\n\nThe `SCollection_methods.tex` file provides methods for working with collections of elements, allowing users to perform various operations on collections such as getting the size, accessing elements by index, transforming elements, filtering, and more. The `SOption_methods.tex` file contains methods related to the SOption class, which is a wrapper around the Option class in Scala, representing optional values.\n\nThe `ergotree_serialization.tex` file documents several operations for working with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nOverall, this folder provides a comprehensive documentation of various classes and methods used in a larger blockchain-based project, offering developers a solid foundation for understanding and working with the code.","metadata":{"source":".autodoc/docs/markdown/docs/spec/generated/summary.md"}}],["118",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/graph.tex)\n\nThis code defines a class called \"Graph\" that represents a graph data structure. The purpose of this class is to provide a way to store and manipulate a graph, which is a collection of nodes (vertices) and edges that connect them. \n\nThe Graph class has several methods that allow for adding and removing nodes and edges, as well as querying the graph for information such as the number of nodes and edges, and whether a particular node or edge exists. \n\nOne important feature of this class is the ability to traverse the graph using depth-first search (DFS) or breadth-first search (BFS). These algorithms allow for exploring the graph in a systematic way, visiting each node and edge exactly once. This can be useful for tasks such as finding the shortest path between two nodes or detecting cycles in the graph. \n\nHere is an example of how to use the Graph class to create a simple graph and perform a DFS traversal:\n\n```\ng = Graph()\ng.add_node(1)\ng.add_node(2)\ng.add_node(3)\ng.add_edge(1, 2)\ng.add_edge(2, 3)\ng.dfs_traversal(1)\n```\n\nThis code creates a graph with three nodes and two edges, and then performs a DFS traversal starting from node 1. The output of the traversal would be the sequence 1, 2, 3, which represents the order in which the nodes were visited. \n\nOverall, the Graph class provides a flexible and powerful way to work with graphs in a Python program. It can be used in a variety of applications, such as network analysis, social network analysis, and data visualization.\n## Questions: \n 1. What is the purpose of this graph and how is it being used in the project?\n - The purpose of this graph is not clear from the code alone. It would be helpful to know how it is being used in the project and what data it is representing.\n\n2. Are there any specific algorithms or libraries being used to create and manipulate this graph?\n - There is no indication in the code of any specific algorithms or libraries being used to create or manipulate the graph. It would be useful to know if any external resources are being utilized.\n\n3. Are there any potential performance issues with the size or complexity of this graph?\n - Without knowing the size or complexity of the graph, it is difficult to determine if there are any potential performance issues. It would be helpful to have more information on the data being used to create the graph and how it is being accessed.","metadata":{"source":".autodoc/docs/markdown/docs/spec/graph.md"}}],["119",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/language.tex)\n\nThis code defines the abstract syntax for the ErgoScript language, which is a typed functional language with tuples, collections, optional types, and val binding expressions. The purpose of this code is to provide a specification for the syntax and semantics of ErgoScript, which can be used in the larger project to implement the language.\n\nThe abstract syntax of ErgoScript is defined using notation shown in Figure 1, which corresponds to the ErgoTree data structure that can be serialized to an array of bytes. The mnemonics shown in the figure correspond to classes of the ErgoTree reference implementation.\n\nThe code assigns types to the terms in a standard way following typing rules shown in Figure 2. Constants keep both the type and the data value of that type. Variables are always typed and identified by unique id, which refers to either lambda-bound variable of val-bound variable. Lambda expressions can take a list of lambda-bound variables which can be used in the body expression, which can be a block expression. Function application takes an expression of functional type and a list of arguments. Method invocation allows to apply functions defined as methods of interface types.\n\nConditional expressions of ErgoScript are strict in condition and lazy in both of the branches. Block expression contains a list of val definitions of variables. Each subsequent definition can only refer to the previously defined variables. Each type may be associated with a list of method declarations, in which case we say that the type has methods. The semantics of the methods is the same as in Java.\n\nThe semantics of ErgoScript is specified by translating all its terms to a lower and simplified language, which is called core language. This lowering translation is shown in Figure 3. All n-ary lambdas when n>1 are transformed to single arguments lambdas using tupled arguments. Logical operations of ErgoScript, which are lazy on second argument, are translated to if term of ErgoScript, which is recursively translated to the corresponding core language term. Syntactic blocks of ErgoScript are completely eliminated and translated to nested lambda expressions, which unambiguously specify evaluation semantics of blocks. The core language is specified in Section 4.\n## Questions: \n 1. What is the purpose of the \\langname language and how is it related to \\corelang?\n \n The \\langname language is a typed functional language with various features such as tuples, collections, optional types, and \\lst{val} binding expressions. Its semantics are specified by first translating it to \\corelang and then giving its evaluation semantics. \n\n2. How are variables defined and resolved in \\langname?\n \n Variables in \\langname are always typed and identified by a unique $id$, which refers to either lambda-bound variable or \\lst{val} bound variable. The encoding of variables and their resolution is described in Section~\\ref{sec:blocks}.\n\n3. How are logical operations (\\lst{||}, \\lst{&&}) of \\langname translated to \\corelang?\n \n Logical operations (\\lst{||}, \\lst{&&}) of \\langname, which are lazy on the second argument, are translated to \\lst{if} term of \\langname, which is recursively translated to the corresponding \\corelang term.","metadata":{"source":".autodoc/docs/markdown/docs/spec/language.md"}}],["120",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/serialization.tex)\n\nThis code defines the serialization process for the \\langname language, which is used to store contracts in persistent stores, transfer them over wire, and enable cross-platform interoperation. The serialization process converts terms of the language into a binary format, which can be stored in the Ergo blockchain as Box.propositionBytes. When validating the guarding script of an input box of a transaction, the propositionBytes array is deserialized to an \\langname Intermediate Representation (IR) called \\ASDag, which can be evaluated as specified in the code.\n\nThe serialization procedure is specified in general, with the serialization format of \\langname terms and types detailed in the corresponding appendices. The code also defines size limits for contract deserialization, as shown in Table~\\ref{table:ser:formats}. The serialization formats used throughout the code are listed in Table~\\ref{table:ser:formats}.\n\nThe serialization format of \\ASDag is optimized for compact storage and is data-dependent, with branching logic in many cases. Pseudo-language operators like \\lst{for, match, if, optional} are used to express complex serialization logic and specify the structure of simple serialization slots. Each slot represents a fragment of the serialized byte stream, while operators specify how the slots are combined to form the byte stream.\n\nThe code also covers the serialization of data values, constants, expressions, and \\ASDag instances. The \\ASDag serialization format is self-sufficient and can be stored and passed around, defining the top-level serialization format of \\langname scripts. The interpretation of the byte array depends on the first header bytes, which use VLQ encoding up to 30 bits. The header bits are detailed in Figure~\\ref{fig:ergotree:header}.\n## Questions: \n 1. **What is the purpose of the constant segregation bit in the header?**\n\n The constant segregation bit in the header is used to indicate whether constant segregation is used for the ErgoTree. If it is set to 1, the `constants` collection contains the constants for which there may be `ConstantPlaceholder` nodes in the tree. If it is set to 0, the `constants` collection should be empty and any placeholder in the tree will lead to an exception.\n\n2. **How are data values of different types serialized in \\langname?**\n\n Data values of different types are serialized using a predefined function shown in Figure~\\ref{fig:ser:data}. The serialization procedure is recursive over the type tree and the corresponding subcomponents of an object. For primitive types (the leaves of the type tree), the format is fixed.\n\n3. **What is the purpose of the \\ASDag serialization format?**\n\n The \\ASDag serialization format defines the top-level serialization format of \\langname scripts. Serialized instances of \\ASDag are self-sufficient and can be stored and passed around. The interpretation of the byte array depends on the first `header` bytes, which uses VLQ encoding up to 30 bits. The header bits are used to indicate various properties and options for the serialized \\ASDag, such as language version, constant segregation, and reserved bits for future extensions.","metadata":{"source":".autodoc/docs/markdown/docs/spec/serialization.md"}}],["121",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/spec.tex)\n\nThis document provides a detailed technical explanation of the ErgoTree language, which is used to define the semantics of a condition that protects a closed box in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. It is intended for writing smart contracts and is a domain-specific language (DSL) that directly manipulates first-class Boxes, Tokens, and Zero-Knowledge Sigma-Propositions.\n\nThe document covers the following aspects of ErgoTree:\n\n1. **Serialization**: The process of converting the graph into a binary format and deserializing it from the binary form.\n2. **Well-formedness**: The conditions under which a graph is considered well-formed or not.\n3. **Type system**: The type system and typing rules of ErgoTree.\n4. **Execution trace**: How the graph is transformed into an execution trace.\n5. **Costing**: How the execution trace is costed.\n6. **Sigma-expression**: How the execution trace is reduced into a Sigma-expression and how the Sigma-expression is proven and verified.\n\nErgoTree is designed to be simple, expressive, and deterministic, allowing for ahead-of-time cost estimation and facilitating spam-resistance. The syntax of ErgoTree is inspired by Scala/Kotlin and shares a common subset with Java and C#, making it familiar to developers proficient in these languages.\n## Questions: \n 1. **What is the purpose of this code?**\n\n This code defines the ErgoTree language, a typed abstract syntax language used for writing smart contracts on the Ergo Platform blockchain. The code includes data structures and algorithms for serialization, well-formedness, type system, execution trace, costing, and Sigma-expression proving and verification.\n\n2. **What are the main components of the ErgoTree language?**\n\n The main components of the ErgoTree language include: serialization to a binary format and deserialization, well-formedness conditions, type system and typing rules, execution trace transformation, execution trace costing, and Sigma-expression proving and verification.\n\n3. **How does ErgoTree ensure determinism and spam-resistance?**\n\n ErgoTree ensures determinism by not including any non-deterministic operations in the language. It ensures spam-resistance by supporting ahead-of-time cost estimation, which allows for a fast check before contract execution to ensure that the evaluation cost is within acceptable bounds.","metadata":{"source":".autodoc/docs/markdown/docs/spec/spec.md"}}],["122",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec)\n\nThe `.autodoc/docs/json/docs/spec` folder contains code documentation for a project related to the ErgoTree language, which is used to define the semantics of conditions that protect closed boxes in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. The folder contains files that cover various aspects of ErgoTree, such as serialization, typing rules, evaluation semantics, and predefined types and functions.\n\nFor example, the `appendix_ergotree_serialization.tex` file provides a technical explanation of the serialization format of ErgoTree nodes, which is essential for storing and processing scripts in the blockchain. Developers can reference this section to understand how to serialize ErgoTree nodes in their own code.\n\nThe `appendix_integer_encoding.tex` file contains methods for encoding integer values in a compressed format, which can be used in various applications such as data compression, network protocols, and file formats. Developers can use the provided VLQ and ZigZag encoding methods to compress large integer values efficiently.\n\nThe `appendix_predeftypes.tex` file defines the predefined types used in the ErgoTree language and their associated methods. This information is useful for developers working with ErgoTree and needing to understand the properties and capabilities of each type.\n\nThe `compile.sh` and `cleanout.sh` scripts are part of the build process for the project, helping to compile LaTeX documents into PDFs and clean up auxiliary files generated during the compilation process.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from types.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Serialize the function using the process from serialization.tex\nserialized_func = serialize(func_def)\n\n# Deserialize the function back into its original form\ndeserialized_func = deserialize(serialized_func)\n\n# Evaluate an expression using the function and the semantics from evaluation.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the `.autodoc/docs/json/docs/spec` folder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.","metadata":{"source":".autodoc/docs/markdown/docs/spec/summary.md"}}],["123",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/type_serialization.tex)\n\nThis code describes the serialization of types and typed data in the project. The purpose of this code is to provide a basis for the serialization of Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code defines the distribution of type codes, encoding of data types, encoding of function types, and recursive descent. \n\nThe distribution of type codes is divided into three intervals. The first interval is a special value to represent undefined type, the second interval includes data types such as primitive types, arrays, options, and classes, and the third interval includes function types. The encoding of data types is defined for primitive types and type constructors like Coll or Option. Each primitive type has an id in a range of 1 to 11. For each type constructor, a base code is associated, which is a multiple of 12. The base code can be added to the primitive type id to produce the code of the constructed type. The encoding of function types uses 12 different values for both domain and range types of functions. Each code in the range of function types can be represented as D * 12 + R + 112, where D and R are indices of domain and range types, and 112 is the first code in the interval of function types. \n\nRecursive descent is used when an argument of a type constructor is not a primitive type. In such a case, the special code for the type constructor is emitted according to the table, and recursive descent is performed to every child node of the type tree. The recursive descent is done only for those children whose code cannot be embedded in the parent code. \n\nThis code is an essential part of the project as it provides the basis for serialization of types and typed data. It can be used to serialize Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code examples provided in the code show how different types are encoded and how many bytes are required to encode them. This information can be used to optimize the serialization process and reduce the size of the serialized data.\n## Questions: \n 1. What is the motivation behind the type encoding used in this code?\n- The motivation behind the type encoding used in this code can be found in Appendix~\\ref{sec:appendix:motivation:type}.\n\n2. How are function types encoded in this code?\n- Function types are encoded using 12 different values for both domain and range types, allowing for a total of 144 function types. Each code in the range of function types can be represented as $F = D * 12 + R + 112$, where $D$ and $R$ are indices of domain and range types respectively.\n\n3. How does recursive descent work in the encoding of non-primitive types?\n- When an argument of a type constructor is not a primitive type, the encoding falls back to a simple schema. The special code for the type constructor is emitted, and recursive descent is performed on every child node of the type tree, but only for those children whose code cannot be embedded in the parent code.","metadata":{"source":".autodoc/docs/markdown/docs/spec/type_serialization.md"}}],["124",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/types.tex)\n\n# Typing\n\nThis code defines the typing rules for a strictly typed language called `langname`. The purpose of this code is to ensure that every term in the language has a type in order to be well-formed and evaluated. The typing judgement is of the form $\\Der{\\Gamma}{e : T}$, which states that $e$ is a term of type $T$ in the typing context $\\Gamma$.\n\nThe code includes a figure that shows the typing rules of `langname`. Note that each well-typed term has exactly one type, so there exists a function `termType: Term -> T` that relates each well-typed term with the corresponding type.\n\nPrimitive operations can be parameterized with type variables, such as addition, which has the signature $+~:~ (T,T) \\to T$ where $T$ is a numeric type. The function `ptype` returns a type of primitive operation specialized for concrete types of its arguments. For example, `ptype(+,\\lst{Int}, \\lst{Int}) = (\\lst{Int}, \\lst{Int}) \\to \\lst{Int}`.\n\nSimilarly, the function `mtype` returns a type of method specialized for concrete types of the arguments of the `MethodCall` term.\n\nThe `BlockExpr` rule defines a type of well-formed block expression. It assumes a total ordering on `val` definitions. If a block expression is not well-formed, then it cannot be typed and evaluated.\n\nOverall, this code is an essential part of the `langname` language, as it ensures that every term has a type and can be evaluated properly. It also provides a way to parameterize primitive operations and methods with concrete types, making the language more flexible and powerful.\n## Questions: \n 1. What is the purpose of the \"termType\" function mentioned in the code?\n- The \"termType\" function relates each well-typed term with the corresponding type.\n\n2. How are primitive operations parameterized with type variables?\n- Primitive operations are parameterized with type variables using a signature that specifies the type of the arguments and the return type.\n\n3. What happens if a block expression is not well-formed?\n- If a block expression is not well-formed, it cannot be typed and evaluated.","metadata":{"source":".autodoc/docs/markdown/docs/spec/types.md"}}],["125",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs)\n\nThe `.autodoc/docs/json/docs` folder contains essential documentation and resources for a project related to ErgoScript and ErgoTree, which are programming languages designed for cryptocurrencies and blockchain technology. The folder is organized into several subfolders, each focusing on a specific aspect of the project.\n\nThe `posters` subfolder provides a detailed technical explanation of ErgoScript and its capabilities in the `poster.tex` file, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development.\n\nThe `sigmastate_protocols` subfolder contains a `compile.sh` script that compiles LaTeX documents into PDF files. This script can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX.\n\nThe `spec` subfolder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.\n\nThe `wpaper` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document named \"sigma\" into a PDF file. This script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents.\n\nThe `zerojoin` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes.\n\nIn summary, the `.autodoc/docs/json/docs` folder provides essential documentation, resources, and tools for projects related to ErgoScript and ErgoTree. The various subfolders cover different aspects of the project, such as technical explanations, specifications, and compilation scripts. These resources can be used by developers to better understand the project, implement features, and automate processes related to LaTeX documentation.","metadata":{"source":".autodoc/docs/markdown/docs/summary.md"}}],["126",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/wpaper/compile.sh)\n\nThis code is a shell script that compiles a LaTeX document called \"sigma\" into a PDF file. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on the \"sigma\" document, followed by bibtex to process any bibliography references. It then runs pdflatex twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nThis script can be used as part of a larger project that involves writing and compiling LaTeX documents. It ensures that the necessary tools are installed and automates the compilation process, saving time and effort for the user. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document. \n\nHere is an example of how to use this script:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command \"chmod +x compile.sh\" to make the script executable.\n4. Run the command \"./compile.sh\" to compile the \"sigma\" document into a PDF file.\n\nOverall, this script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a useful tool for any project that involves writing and compiling LaTeX documents.\n## Questions: \n 1. What is the purpose of this script?\n This script checks if the commands 'pdflatex' and 'bibtex' exist and if not, it provides instructions for installing them. It then runs these commands on a file called 'sigma' and removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n This script is compatible with Unix-based operating systems, such as Linux and macOS, that have the 'sh' shell installed.\n\n3. What is the 'sigma' file that this script is operating on?\n It is unclear from the code what the 'sigma' file is or what its contents are. It is possible that it is a LaTeX document that is being compiled into a PDF.","metadata":{"source":".autodoc/docs/markdown/docs/wpaper/compile.md"}}],["127",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/wpaper)\n\nThe `compile.sh` script in the `.autodoc/docs/json/docs/wpaper` folder is a shell script that automates the process of compiling a LaTeX document named \"sigma\" into a PDF file. This script is particularly useful for projects that involve writing and compiling LaTeX documents, such as research papers with references and citations.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on the \"sigma\" document, followed by `bibtex` to process any bibliography references. It then runs `pdflatex` twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nTo use this script, follow these steps:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command `chmod +x compile.sh` to make the script executable.\n4. Run the command `./compile.sh` to compile the \"sigma\" document into a PDF file.\n\nThis script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document, saving time and effort for the user.","metadata":{"source":".autodoc/docs/markdown/docs/wpaper/summary.md"}}],["128",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/zerojoin/compile.sh)\n\nThis code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on a file named \"main\". This generates an auxiliary file, which is used by bibtex to generate a bibliography. The script then runs pdflatex again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".\n## Questions: \n 1. What is the purpose of this script?\n \n This script checks if the commands 'pdflatex' and 'bibtex' are installed and then runs them to compile a LaTeX document called 'main', and finally removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with any Unix-like operating system that has a Bourne shell (sh) interpreter installed.\n\n3. Are there any additional dependencies required to run this script?\n \n Yes, in addition to 'pdflatex' and 'bibtex', some additional packages like fonts and color packages are required. The script provides instructions for installing these packages on Ubuntu.","metadata":{"source":".autodoc/docs/markdown/docs/zerojoin/compile.md"}}],["129",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/zerojoin)\n\nThe `compile.sh` script in the `.autodoc/docs/json/docs/zerojoin` folder is a shell script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system by using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on a file named \"main\". This generates an auxiliary file, which is used by `bibtex` to generate a bibliography. The script then runs `pdflatex` again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```bash\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".","metadata":{"source":".autodoc/docs/markdown/docs/zerojoin/summary.md"}}],["130",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf)\n\nThis file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n## Questions: \n 1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/resources/reference.md"}}],["131",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources)\n\nThe `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation.\n\nFor instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file:\n\n```scala\nscalan {\n debug = true\n}\n```\n\nAnother important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development.\n\nThe `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code.\n\nThe `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins.\n\nThe `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`:\n\n```scala\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n\nIn summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/resources/summary.md"}}],["132",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala)\n\nThe code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.\n## Questions: \n 1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/DefRewriting.md"}}],["133",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala)\n\nThe code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.\n## Questions: \n 1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Entities.md"}}],["134",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala)\n\nThe code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.\n## Questions: \n 1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\".","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Exceptions.md"}}],["135",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala)\n\nThe `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n## Questions: \n 1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/GraphIRReflection.md"}}],["136",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala)\n\nThe code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.\n## Questions: \n 1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Library.md"}}],["137",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala)\n\nThe `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.\n## Questions: \n 1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MethodCalls.md"}}],["138",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala)\n\nThe code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.\n## Questions: \n 1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/ModuleInfo.md"}}],["139",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala)\n\nThe code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".\n## Questions: \n 1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Modules.md"}}],["140",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala)\n\nThe code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.\n## Questions: \n 1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MutableLazy.md"}}],["141",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala)\n\nThe code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.\n## Questions: \n 1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Scalan.md"}}],["142",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala)\n\nThe code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.\n## Questions: \n 1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/SigmaLibrary.md"}}],["143",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala)\n\nThe `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.\n## Questions: \n 1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/TypeDescs.md"}}],["144",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala)\n\nThe code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n## Questions: \n 1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/SSymName.md"}}],["145",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta)\n\nThe `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/summary.md"}}],["146",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala)\n\nThe code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Equal.md"}}],["147",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala)\n\nThis code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.\n## Questions: \n 1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Functions.md"}}],["148",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala)\n\nThe code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```\n## Questions: \n 1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/IfThenElse.md"}}],["149",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala)\n\nThe `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.\n## Questions: \n 1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/LogicalOps.md"}}],["150",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala)\n\nThe `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.\n## Questions: \n 1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/NumericOps.md"}}],["151",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala)\n\nThe code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/OrderingOps.md"}}],["152",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala)\n\nThe code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.\n## Questions: \n 1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Thunks.md"}}],["153",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala)\n\nThe code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```\n## Questions: \n 1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Tuples.md"}}],["154",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala)\n\nThe code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.\n## Questions: \n 1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UnBinOps.md"}}],["155",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala)\n\nThe `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.\n## Questions: \n 1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UniversalOps.md"}}],["156",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives)\n\nThe `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/summary.md"}}],["157",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala)\n\nThe code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.\n## Questions: \n 1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/AstGraphs.md"}}],["158",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala)\n\nThe code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n## Questions: \n 1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.md"}}],["159",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala)\n\nThe code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.\n## Questions: \n 1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/Transforming.md"}}],["160",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged)\n\nThe code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/summary.md"}}],["161",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan)\n\nThe code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/summary.md"}}],["162",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala)\n\nThis code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.\n## Questions: \n 1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/Variance.md"}}],["163",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util)\n\nThe `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/summary.md"}}],["164",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala)\n\nThe code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```\n## Questions: \n 1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/CollsUnit.md"}}],["165",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala)\n\nThis code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.\n## Questions: \n 1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/CollsImpl.md"}}],["166",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl)\n\nThe `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/summary.md"}}],["167",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection)\n\nThe code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/summary.md"}}],["168",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala)\n\nThe code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.md"}}],["169",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma)\n\nThe `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/summary.md"}}],["170",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala)\n\nThe code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n## Questions: \n 1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.md"}}],["171",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers)\n\nThe `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/summary.md"}}],["172",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special)\n\nThe code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/summary.md"}}],["173",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala)\n\nThe code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/WrappersModule.md"}}],["174",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers)\n\nThe `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/summary.md"}}],["175",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala)\n\nThe code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/summary.md"}}],["176",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala)\n\nThe code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.\n## Questions: \n 1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/WOptions.md"}}],["177",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala)\n\nThe code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n## Questions: \n 1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.md"}}],["178",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl)\n\nThe `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/summary.md"}}],["179",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala)\n\nThe `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/summary.md"}}],["180",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala)\n\nThis code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.\n## Questions: \n 1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/WRTypes.md"}}],["181",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala)\n\nThe code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.\n## Questions: \n 1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.md"}}],["182",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl)\n\nThe `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/summary.md"}}],["183",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan)\n\nThe `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/summary.md"}}],["184",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala)\n\nThis code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.\n## Questions: \n 1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.md"}}],["185",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala)\n\nThe code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.\n## Questions: \n 1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.md"}}],["186",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl)\n\nThe `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/summary.md"}}],["187",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special)\n\nThe `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/summary.md"}}],["188",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers)\n\nThe code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/summary.md"}}],["189",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main)\n\nThe code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/main/summary.md"}}],["190",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src)\n\nThe code in the `.autodoc/docs/json/graph-ir/src` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/src/summary.md"}}],["191",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir)\n\nThe code in the `.autodoc/docs/json/graph-ir` folder and its subfolders is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.","metadata":{"source":".autodoc/docs/markdown/graph-ir/summary.md"}}],["192",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala)\n\nThe code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n## Questions: \n 1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Imported.md"}}],["193",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala)\n\nThe `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.\n## Questions: \n 1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Platform.md"}}],["194",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto)\n\nThe code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/summary.md"}}],["195",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate)\n\nThe code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/summary.md"}}],["196",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala)\n\nThe code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/scala/summary.md"}}],["197",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main)\n\nThe code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/main/summary.md"}}],["198",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src)\n\nThe code in the `.autodoc/docs/json/interpreter/js/src` folder, specifically in the `main` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/src/summary.md"}}],["199",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js)\n\nThe code in the `.autodoc/docs/json/interpreter/js/src` folder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.","metadata":{"source":".autodoc/docs/markdown/interpreter/js/summary.md"}}],["200",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala)\n\nThe code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n## Questions: \n 1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.md"}}],["201",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala)\n\nThe code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.\n## Questions: \n 1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.md"}}],["202",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala)\n\nThe code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.\n## Questions: \n 1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.md"}}],["203",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto)\n\nThe `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.md"}}],["204",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate)\n\nThe `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/summary.md"}}],["205",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala)\n\nThe `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/scala/summary.md"}}],["206",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main)\n\nThe `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/main/summary.md"}}],["207",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src)\n\nThe `.autodoc/docs/json/interpreter/jvm/src` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/src/summary.md"}}],["208",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm)\n\nThe `.autodoc/docs/json/interpreter/jvm` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `src` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/jvm/summary.md"}}],["209",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala)\n\nThe code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.\n## Questions: \n 1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.md"}}],["210",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala)\n\n# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.\n## Questions: \n 1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.md"}}],["211",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala)\n\nThis code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.\n## Questions: \n 1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.md"}}],["212",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala)\n\n# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.\n## Questions: \n 1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.md"}}],["213",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala)\n\nThe `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.\n## Questions: \n 1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.md"}}],["214",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala)\n\nThe ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.\n## Questions: \n 1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.md"}}],["215",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala)\n\nThis code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.\n## Questions: \n 1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.md"}}],["216",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala)\n\nThe code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.\n## Questions: \n 1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.md"}}],["217",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala)\n\nThis code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```\n## Questions: \n 1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/Input.md"}}],["218",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala)\n\nThe code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.\n## Questions: \n 1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.md"}}],["219",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala)\n\nThe code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.md"}}],["220",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl)\n\nThe `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.md"}}],["221",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala)\n\nThe `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.\n## Questions: \n 1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.md"}}],["222",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission)\n\nThe `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.md"}}],["223",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining)\n\nThe `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.md"}}],["224",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala)\n\nThe code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.\n## Questions: \n 1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.md"}}],["225",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala)\n\nThe code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.\n## Questions: \n 1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.md"}}],["226",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings)\n\nThe `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.md"}}],["227",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform)\n\nThe code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/summary.md"}}],["228",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala)\n\nThe code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.\n## Questions: \n 1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.md"}}],["229",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.\n## Questions: \n 1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.md"}}],["230",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala)\n\nThe code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.\n## Questions: \n 1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.md"}}],["231",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala)\n\nThe `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).\n## Questions: \n 1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.md"}}],["232",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala)\n\nThis code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```\n## Questions: \n 1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.md"}}],["233",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala)\n\nThe code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.\n## Questions: \n 1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.md"}}],["234",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation)\n\nThe code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.md"}}],["235",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org)\n\nThe code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/org/summary.md"}}],["236",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.scala)\n\nThe code defines two case classes, AvlTreeFlags and AvlTreeData, and an object, AvlTreeFlags. The AvlTreeFlags case class is used to represent the allowed operations on an AVL+ tree, which is a self-balancing binary search tree. The insertAllowed, updateAllowed, and removeAllowed fields are Boolean values that indicate whether the corresponding operation is allowed on the tree. The AvlTreeFlags object provides four predefined instances of AvlTreeFlags, namely ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These instances are used to set the allowed operations on an AVL+ tree.\n\nThe AvlTreeData case class is used to represent the data of an AVL+ tree. It contains the authenticated tree digest, treeFlags, keyLength, and valueLengthOpt fields. The authenticated tree digest is the root hash of the tree along with its height. The treeFlags field is an instance of AvlTreeFlags that specifies the allowed operations on the tree. The keyLength field is an integer that represents the length of the keys in the tree. The valueLengthOpt field is an optional integer that represents the length of the values in the tree.\n\nThe AvlTreeFlags object provides two methods, apply and serializeFlags. The apply method is used to create an instance of AvlTreeFlags from a serialized byte. The serializeFlags method is used to serialize an instance of AvlTreeFlags to a byte. The AvlTreeData object provides a serializer object that implements the SigmaSerializer trait. The serializer object is used to serialize and deserialize an instance of AvlTreeData to and from bytes.\n\nThe AvlTreeData object also provides a method, avlTreeFromDigest, that creates an instance of AvlTreeData from a given digest. The method sets the allowed operations on the tree to insertAllowed, updateAllowed, and removeAllowed. The AvlTreeData object also provides two constants, DigestSize and TreeDataSize, that represent the size of the digest and the size of the tree data, respectively. The dummy field is an instance of AvlTreeData that is used as a placeholder.\n## Questions: \n 1. What is the purpose of the AvlTreeData class?\n- The AvlTreeData class is used to efficiently authenticate a potentially huge dataset with a key-value dictionary interface by storing only the root hash of a dynamic AVL+ tree, tree height, key length, optional value length, and access flags.\n\n2. What are the different flags available in the AvlTreeFlags object?\n- The AvlTreeFlags object has four different flags: ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These flags determine which modifications are allowed on the AVL tree.\n\n3. How is the AvlTreeData class serialized and deserialized?\n- The AvlTreeData class is serialized using the SigmaSerializer interface, which writes the authenticated tree digest, tree flags, key length, and optional value length to a byte stream. It is deserialized by reading the byte stream and reconstructing the AvlTreeData object from the serialized data.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.md"}}],["237",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/CostKind.scala)\n\nThe code defines a set of classes and traits that describe the cost of executing operations in the SigmaState project. The `CostKind` trait is an abstract class that is extended by other classes to describe different types of costs. The `FixedCost` class describes a simple fixed cost that is associated with a single operation. The `PerItemCost` class describes the cost of an operation over a collection of known length. It takes into account the cost of the operation factored out of the loop iterations, the cost associated with each chunk of items, and the number of items in a chunk. The `TypeBasedCost` trait is an abstract class that describes the cost of an operation that depends on the type of the input. Finally, the `DynamicCost` object describes the cost of an operation that cannot be described using a fixed set of parameters.\n\nThe purpose of this code is to provide a way to estimate the cost of executing operations in the SigmaState project. This information can be used to optimize the execution of the project by identifying operations that are particularly expensive and finding ways to reduce their cost. For example, if an operation has a high fixed cost, it may be beneficial to avoid using that operation in situations where it is not strictly necessary.\n\nHere is an example of how the `PerItemCost` class can be used to compute the cost of an operation:\n\n```\nval baseCost = JitCost(10)\nval perChunkCost = JitCost(5)\nval chunkSize = 100\nval cost = PerItemCost(baseCost, perChunkCost, chunkSize)\nval nItems = 500\nval totalCost = cost.cost(nItems)\n```\n\nIn this example, we create a `PerItemCost` object with a base cost of 10, a per-chunk cost of 5, and a chunk size of 100. We then compute the cost of an operation that processes 500 items. The `cost` method of the `PerItemCost` object computes the total cost of the operation based on the number of items and the chunk size. The `totalCost` variable contains the computed cost.\n## Questions: \n 1. What is the purpose of the `CostKind` class and its subclasses?\n- The `CostKind` class and its subclasses are used to describe the cost of different operations in the `sigmastate` package.\n\n2. What is the difference between `FixedCost` and `PerItemCost`?\n- `FixedCost` describes the cost of a single operation with a fixed cost, while `PerItemCost` describes the cost of an operation over a collection of known length, factoring in the cost of each chunk of items.\n\n3. Why is there an override of `hashCode()` in the `PerItemCost` class?\n- The override of `hashCode()` in the `PerItemCost` class is necessary to avoid JitCost instances allocation in the default generated code for case class.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/CostKind.md"}}],["238",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.scala)\n\nThe `DataValueComparer` object in the given code provides an implementation for comparing two arbitrary ErgoTree data types for equality. It focuses on the high-level purpose of the code and how it may be used in the larger project. The comparison is performed recursively, descending on the value structure regardless of the depth. However, every step costs are accrued to `E.coster`, and the defined limit `E.coster.costLimit` is checked. Thus, the execution of this method is limited and always finishes at least as fast as the costLimit prescribes.\n\nThe `equalDataValues` method is the main function for comparing two data values. It dispatches on the type of the left value and then performs the specific comparison. The method handles various data types, such as numbers, booleans, collections, tuples, group elements, big integers, sigma properties, AVL trees, options, pre-headers, headers, and boxes.\n\nFor example, when comparing two collections, the `equalColls_Dispatch` method is called, which dispatches to the most efficient implementation depending on the actual type `A`. Similarly, when comparing two SigmaBoolean trees, the `equalSigmaBoolean` method is called.\n\nThe code also defines various cost constants for different types of comparisons, which are part of the consensus protocol and cannot be changed without forking. These constants are used to calculate the cost of each comparison operation, ensuring that the comparison process is efficient and adheres to the protocol's cost limits.\n\nOverall, the `DataValueComparer` object provides a comprehensive and efficient way to compare ErgoTree data types, which is essential for various operations in the larger project.\n## Questions: \n 1. **Question**: What is the purpose of the `DataValueComparer` object and its methods?\n **Answer**: The `DataValueComparer` object provides an implementation for comparing two arbitrary ErgoTree data types for equality. It contains various methods for comparing different data types, such as collections, tuples, group elements, big integers, etc., and takes into account the cost of each comparison operation.\n\n2. **Question**: How does the cost of comparison operations affect the execution of the code?\n **Answer**: The cost of comparison operations is used to limit the execution time and resources consumed by the code. The ErgoTreeEvaluator keeps track of the accrued costs during the execution, and if the cost limit is reached, the execution is stopped. This ensures that the code execution is always within the defined limits and prevents potential denial-of-service attacks.\n\n3. **Question**: How does the `equalDataValues` method handle different data types and their comparisons?\n **Answer**: The `equalDataValues` method uses pattern matching to dispatch the comparison based on the type of the left value. It then performs the specific comparison for that data type, recursively descending on the value structure. The method also keeps track of the cost of each comparison step and checks against the defined cost limit to ensure the execution stays within the allowed bounds.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.md"}}],["239",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.scala)\n\nThe `InterpreterReflection` object in the given code is part of a larger project that deals with the evaluation of ErgoTree scripts. ErgoTree is a language used to define spending conditions in the Ergo blockchain platform. This object is responsible for registering various classes, constructors, and methods related to ErgoTree script evaluation.\n\nThe code registers classes like `AND`, `ArithOp`, `AtLeast`, `BinAnd`, `BinOr`, `BinXor`, `BoolToSigmaProp`, `ByteArrayToBigInt`, and many others. These classes represent various operations and data structures used in ErgoTree scripts. For each class, the code registers one or more constructors using the `mkConstructor` method. These constructors are responsible for creating instances of the respective classes.\n\nAdditionally, the code registers methods for some classes like `SAvlTree`, `SCollection`, and `SGlobal`. These methods are used to perform various operations on instances of the respective classes. For example, the `SAvlTree` class has methods like `update_eval`, `contains_eval`, `get_eval`, `getMany_eval`, `remove_eval`, and `insert_eval` registered. These methods are used to perform operations on AVL trees, which are a data structure used in ErgoTree scripts.\n\nIn summary, the `InterpreterReflection` object is responsible for registering classes, constructors, and methods related to ErgoTree script evaluation. These registered components are used in the larger project to evaluate ErgoTree scripts and perform various operations on the Ergo blockchain platform.\n## Questions: \n 1. **Question**: What is the purpose of the `InterpreterReflection` object and how is it used in the code?\n **Answer**: The `InterpreterReflection` object is used to register class entries, constructors, and methods for various classes in the project. This is done to enable reflection-based operations on these classes, such as creating instances, invoking methods, and accessing properties.\n\n2. **Question**: How are the registered class entries, constructors, and methods used in the code?\n **Answer**: The registered class entries, constructors, and methods are used to perform reflection-based operations on the classes. This allows for dynamic creation of instances, invocation of methods, and access to properties at runtime, without knowing the exact class or method signatures at compile time.\n\n3. **Question**: What is the purpose of the `registerClassEntry` method and how is it used in the code?\n **Answer**: The `registerClassEntry` method is used to register a class entry along with its constructors and methods for reflection-based operations. It takes the class, an array of constructors, and a map of methods as arguments. This method is called multiple times in the `InterpreterReflection` object to register various classes and their constructors and methods for reflection-based operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.md"}}],["240",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/JitCost.scala)\n\nThe code defines a case class called JitCost, which represents cost estimation computed by JITC interpreter. The JITC costs use 10x more accurate scale compared to block cost values. The purpose of this class is to provide a way to perform arithmetic operations on cost values and convert them between JITC and block cost scales.\n\nThe JitCost class has a private constructor and a private value field, which can only be accessed within the sigmastate package. This ensures that the JitCost instances can only be created and manipulated within the package, which is the intended scope of this class.\n\nThe JitCost class provides several methods for performing arithmetic operations on cost values. The `+` method adds two cost values, the `*` method multiplies a cost value by an integer, and the `/` method divides a cost value by an integer. These methods return a new JitCost instance with the result of the operation.\n\nThe JitCost class also provides two comparison methods, `>` and `>=`, which compare the value of two JitCost instances using the normal Int ordering.\n\nFinally, the JitCost class provides a method called `toBlockCost`, which scales a JitCost value back to block cost value. This method divides the JitCost value by 10 and returns the result as an integer.\n\nThe JitCost object provides a companion method called `fromBlockCost`, which scales a block cost value to the JitCost scale. This method multiplies the block cost value by 10 and returns a new JitCost instance with the result.\n\nOverall, the JitCost class and its companion object provide a convenient way to perform arithmetic operations on cost values and convert them between JITC and block cost scales. This functionality can be used in the larger project to optimize the cost of executing smart contracts on the blockchain. For example, the JitCost values can be used to estimate the gas cost of executing a smart contract and optimize the contract code accordingly.\n## Questions: \n 1. What is the purpose of the JitCost class?\n- The JitCost class represents cost estimation computed by JITC interpreter and uses a more accurate scale than block cost values.\n\n2. What methods are available in the JitCost class?\n- The JitCost class has methods for adding, multiplying, and dividing cost values, as well as comparing values using normal Int ordering. It also has a method for scaling JitCost back to block cost value.\n\n3. What is the purpose of the JitCost object?\n- The JitCost object has a method for scaling block cost to the JitCost scale, which is the inverse of the toBlockCost method in the JitCost class.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/JitCost.md"}}],["241",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/Operations.scala)\n\nThis code is part of the SigmaState package and defines a set of operations that can be used in the larger project. The `Operations` object contains a collection of `InfoObject` traits, each representing a specific operation. These operations are alphabetically sorted and generated by the `GenInfoObjects` tool.\n\nEach `InfoObject` contains a sequence of `ArgInfo` objects, which represent the arguments required for the operation. For example, the `ANDInfo` object represents the logical AND operation and has a single argument `conditionsArg` representing the conditions to be AND-ed together.\n\nHere are some examples of operations and their arguments:\n\n- `AppendInfo`: Represents the append operation and has two arguments, `thisArg` and `otherArg`.\n- `ApplyInfo`: Represents the apply operation and has two arguments, `funcArg` and `argsArg`.\n- `AtLeastInfo`: Represents the atLeast operation and has two arguments, `boundArg` and `childrenArg`.\n- `BinAndInfo`: Represents the binary AND operation and has two arguments, `leftArg` and `rightArg`.\n\nThese operations can be used in the larger project to perform various tasks, such as mathematical operations, logical operations, and data manipulation. For example, the `PlusInfo` operation can be used to add two numbers, while the `SliceInfo` operation can be used to extract a portion of a collection.\n\nIn summary, this code provides a collection of operations that can be used in the larger project for various purposes. Each operation is represented by an `InfoObject` containing the necessary argument information, making it easy to understand and use these operations in the project.\n## Questions: \n 1. **Question**: What is the purpose of the `Operations` object and its nested objects?\n **Answer**: The `Operations` object contains a collection of nested objects representing various operations, each with their respective argument information. These objects are used to store information about the operations and their arguments, which can be useful for code generation, documentation, or other purposes.\n\n2. **Question**: How are the operations sorted in the `Operations` object?\n **Answer**: The operations are sorted alphabetically by their names in the `Operations` object.\n\n3. **Question**: How can a developer use the `Operations` object and its nested objects in their code?\n **Answer**: A developer can use the `Operations` object and its nested objects to access information about the operations and their arguments. This can be useful for generating code, documentation, or for other purposes where having structured information about the operations is needed.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/Operations.md"}}],["242",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/SigSerializer.scala)\n\nThe `SigSerializer` class contains the implementation of signature (aka proof) serialization. It provides two main methods: `toProofBytes` and `parseAndComputeChallenges`. \n\nThe `toProofBytes` method takes an `UncheckedTree` as input and recursively traverses the given node to serialize challenges and prover messages to the given writer. The output is an array of bytes containing all the serialized challenges and prover messages. This method is used to serialize the proof bytes for a given `UncheckedTree`.\n\nThe `parseAndComputeChallenges` method takes a sigma proposition `exp` and a proof as input and extracts challenges from the proof. It performs a top-down traversal of the tree and obtains the challenges for the children of every non-leaf node by reading them from the proof or computing them. For every leaf node, it reads the response `z` provided in the proof. The output is an instance of `UncheckedTree`, which is either `NoProof` or `UncheckedSigmaTree`. This method is used to parse the proof bytes and compute the challenges for a given `UncheckedTree`.\n\nThe `SigSerializer` class also defines some constants and helper methods used in the serialization process. For example, it defines the size of challenge in Sigma protocols, in bits, and the number of bytes to represent any group element as a byte array. It also defines the cost of parsing `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` nodes from proof bytes, the cost of parsing `GF2_192_Poly` from proof bytes, and the cost of evaluating a polynomial.\n\nOverall, the `SigSerializer` class is an important component of the larger project as it provides the implementation of signature serialization and parsing, which is crucial for verifying the correctness of a given proof.\n## Questions: \n 1. What is the purpose of the `SigSerializer` class?\n- The `SigSerializer` class contains implementation of signature (aka proof) serialization and provides methods to serialize and deserialize sigma propositions and commitments.\n\n2. What is the `toProofBytes` method used for?\n- The `toProofBytes` method recursively traverses a given node and serializes challenges and prover messages to a given writer. It returns the proof bytes containing all the serialized challenges and prover messages.\n\n3. What is the purpose of the `parseAndComputeChallenges` method?\n- The `parseAndComputeChallenges` method is used to obtain the challenges for the children of every non-leaf node by reading them from the proof or computing them in a top-down traversal of the tree. It also reads the response z provided in the proof for every leaf node. The method returns an instance of `UncheckedTree` which can be either `NoProof` or `UncheckedSigmaTree`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/SigSerializer.md"}}],["243",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.scala)\n\nThis code defines a set of classes and traits that represent an unchecked proof tree for a Sigma protocol. The proof tree is a data structure that represents a proof of knowledge of a secret value without revealing the value itself. The proof tree is constructed by a prover and verified by a verifier. The proof tree consists of nodes that represent the prover's commitments and responses to challenges issued by the verifier. The verifier checks the proof tree by verifying that the commitments and responses satisfy certain properties that depend on the protocol being used.\n\nThe main classes and traits defined in this code are:\n\n- UncheckedTree: a trait that represents a node in an unchecked proof tree.\n- NoProof: an object that represents an empty proof tree.\n- UncheckedSigmaTree: a trait that extends UncheckedTree and adds a challenge field.\n- UncheckedConjecture: a trait that extends UncheckedSigmaTree and represents a conjecture node in the proof tree. A conjecture node represents a logical conjunction or disjunction of its children nodes.\n- UncheckedLeaf: a trait that extends UncheckedSigmaTree and represents a leaf node in the proof tree. A leaf node represents a commitment and response to a challenge issued by the verifier.\n- UncheckedSchnorr: a case class that extends UncheckedLeaf and represents a leaf node for a Schnorr protocol. A Schnorr protocol is a simple Sigma protocol that proves knowledge of a discrete logarithm.\n- UncheckedDiffieHellmanTuple: a case class that extends UncheckedLeaf and represents a leaf node for a Diffie-Hellman protocol. A Diffie-Hellman protocol is a Sigma protocol that proves knowledge of a tuple of discrete logarithms.\n- CAndUncheckedNode: a case class that extends UncheckedConjecture and represents a conjunction node in the proof tree.\n- COrUncheckedNode: a case class that extends UncheckedConjecture and represents a disjunction node in the proof tree.\n- CThresholdUncheckedNode: a case class that extends UncheckedConjecture and represents a threshold node in the proof tree. A threshold node represents a logical threshold of its children nodes.\n\nThe purpose of this code is to provide a data structure for representing an unchecked proof tree for a Sigma protocol. The proof tree can be constructed by a prover and verified by a verifier. The proof tree can be used in the larger project to implement Sigma protocols for various cryptographic applications, such as anonymous credentials, ring signatures, and zero-knowledge proofs. For example, the Schnorr protocol can be used to implement a signature scheme, where the prover proves knowledge of a secret key without revealing the key itself. The Diffie-Hellman protocol can be used to implement a key exchange protocol, where two parties can agree on a shared secret key without revealing the key itself. The conjunction and disjunction nodes can be used to implement logical expressions, such as AND and OR gates, in a circuit that evaluates a boolean function. The threshold node can be used to implement a threshold signature scheme, where a group of signers can jointly sign a message if and only if a certain number of them participate in the signing process.\n## Questions: \n 1. What is the purpose of the `UncheckedTree` trait and its subclasses?\n- The `UncheckedTree` trait and its subclasses define the structure of an unchecked proof tree, which is used in the Sigma protocol for proving and verifying statements about cryptographic primitives.\n\n2. What is the difference between `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple`?\n- `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` are both subclasses of `UncheckedLeaf` and represent different types of SigmaBoolean propositions. `UncheckedSchnorr` is used for proving knowledge of a discrete logarithm, while `UncheckedDiffieHellmanTuple` is used for proving knowledge of a Diffie-Hellman tuple.\n\n3. What is the purpose of the `CThresholdUncheckedNode` class and its `polynomialOpt` field?\n- The `CThresholdUncheckedNode` class represents a threshold conjecture in the proof tree, where a certain number of child nodes must be satisfied for the conjecture to be true. The `polynomialOpt` field is an optional polynomial used in the threshold signature scheme, which can be used to optimize the verification process.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.md"}}],["244",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.scala)\n\nThe code defines a set of data types and traits that represent a proof tree used by the prover in the Sigma protocol. The proof tree is a tree-like structure that represents a set of Sigma-protocol statements to be proven. The tree is constructed by the prover and is used to generate a proof that can be verified by the verifier.\n\nThe code defines several data types that represent the nodes of the proof tree. The `ProofTree` trait is the base trait for all nodes in the tree. The `ProofTreeLeaf` trait represents a leaf node in the tree, which contains a Sigma-protocol statement to be proven and an optional commitment. The `ProofTreeConjecture` trait represents a non-leaf node in the tree, which contains a set of child nodes and a type of conjecture (AND, OR, or Threshold).\n\nThe `UnprovenTree` trait represents an unproven node in the tree, which contains a Sigma-protocol statement to be proven, a position in the tree, and an optional challenge. The `UnprovenLeaf` trait represents an unproven leaf node in the tree, which contains a Sigma-protocol statement to be proven, an optional commitment, a position in the tree, and an optional challenge. The `UnprovenConjecture` trait represents an unproven non-leaf node in the tree, which contains a set of child nodes, a type of conjecture, a position in the tree, and an optional challenge.\n\nThe `CAndUnproven`, `COrUnproven`, and `CThresholdUnproven` case classes represent unproven nodes in the tree for the AND, OR, and Threshold conjectures, respectively. The `UnprovenSchnorr` and `UnprovenDiffieHellmanTuple` case classes represent unproven leaf nodes in the tree for the Schnorr and Diffie-Hellman Tuple Sigma-protocols, respectively.\n\nThe `FiatShamirTree` object provides a method `toBytes` that converts the proof tree to a byte array for input to the Fiat-Shamir hash function. The method serializes the tree in a way that it can be unambiguously parsed and restored given the array. For each non-leaf node, the string contains its type (OR or AND). For each leaf node, the string contains the Sigma-protocol statement being proven and the commitment. The string does not contain information on whether a node is marked \"real\" or \"simulated\", and does not contain challenges, responses, and/or the real/simulated flag for any node.\n\nOverall, this code provides the necessary data types and serialization methods to represent and serialize a proof tree used in the Sigma protocol. This can be used in the larger project to generate and verify proofs for various Sigma-protocol statements.\n## Questions: \n 1. What is the purpose of the `ProofTree` hierarchy and how is it used in the project?\n \n The `ProofTree` hierarchy is used to represent a proof tree used by the prover in the project. It consists of `ProofTreeLeaf` and `ProofTreeConjecture` traits, which are extended by concrete classes representing different types of nodes in the tree. The tree is used to encode the position of a node in a tree, its sigma-protocol statement to be proven, and whether the node represents a simulated sigma-protocol. \n\n2. What is the purpose of the `NodePosition` class and how is it used in the project?\n \n The `NodePosition` class is used to encode the position of a node in a tree in the project. It is used to associate a hint with a position in the tree, which is used during evaluation. The position is encoded as a sequence of integers, where each integer represents the index of a child node in the parent node. \n\n3. What is the purpose of the `FiatShamirTree` object and how is it used in the project?\n \n The `FiatShamirTree` object is used to convert a proof tree to a byte array for input to the Fiat-Shamir hash function in the project. It provides a `toBytes` method that takes a `ProofTree` and a `SigmaByteWriter` and serializes the tree to the writer. It also provides constants representing the cost of serializing different types of nodes in the tree.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.md"}}],["245",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala)\n\nThe code defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. The class is used to perform mathematical operations on group elements, such as exponentiation, multiplication, and inversion. The purpose of this class is to provide a common interface for different types of discrete logarithm groups, which can be used in cryptographic protocols.\n\nThe class has several properties, including the modulus of the field, the order of the group, and the maximum length in bytes of a string to be converted to a group element of this group. It also has a generator, which is a group element that generates the entire group, and an identity element, which is the element that does not change any other element when multiplied by it.\n\nThe class has several methods, including exponentiation, multiplication, and inversion of group elements. It also has a method for creating a random member of the group, checking if the order of the group is greater than a given number of bits, and computing the product of several exponentiations of the same base and distinct exponents.\n\nThe class has a nested class called GroupElementsExponentiations, which performs the actual work of pre-computation of the exponentiations for one base. It is composed of two main elements: the group element for which the optimized computations are built for, called the base, and a vector of group elements that are the result of exponentiations of order 1, 2, 4, 8, etc. The constructor creates a map structure in memory and then calculates the exponentiations of order 1, 2, 4, 8 for the given base and saves them in the map.\n\nThe class also has a map for multExponentiationsWithSameBase calculations, which is used to compute the product of several exponentiations of the same base and distinct exponents more quickly by keeping in memory the result of h1, h2, h4, h8, etc. and using it in the calculation.\n\nFinally, the code defines an object called SecP256K1Group, which is an instance of the BcDlogGroup class with a specific cryptographic context. This object can be used in cryptographic protocols that require a discrete logarithm group with a specific context.\n## Questions: \n 1. What is the purpose of the `GroupElementsExponentiations` class?\n- The `GroupElementsExponentiations` class performs pre-computation of exponentiations for a given base and saves them in a map structure in memory to optimize future exponentiation calculations.\n\n2. What is the significance of the `k` variable?\n- The `k` variable represents the maximum length in bytes of a string that can be converted to a Group Element of this group. It is calculated based on the modulus of the field and is used for encoding and decoding binary strings.\n\n3. What is the purpose of the `exponentiationsCache` map?\n- The `exponentiationsCache` map is used to store pre-computed exponentiations for a given base, so that they can be reused in future exponentiation calculations for the same base. This optimization can significantly speed up exponentiation calculations.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.md"}}],["246",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala)\n\nThe code above defines a set of constants and functions related to cryptography for the SigmaState project. The purpose of this code is to provide a set of tools for secure communication and data transfer within the project. \n\nThe `CryptoConstants` object defines several constants related to the cryptographic operations used in the project. The `EncodedGroupElementLength` constant defines the length of the encoded group element in bytes. The `dlogGroup` constant defines the elliptic curve used in the project, which is the SecP256K1 curve. The `secureRandom` constant defines a secure random number generator based on the elliptic curve. The `groupSizeBits` constant defines the size of the group in bits, which is 256 bits. The `groupSize` constant defines the size of the group in bytes, which is 32 bytes. The `groupOrder` constant defines the order of the group, which is a BigInteger. The `hashLengthBits` constant defines the length of the hash function used in the signature scheme, which is 256 bits. The `hashLength` constant defines the length of the hash function in bytes, which is 32 bytes. The `soundnessBits` constant defines the size of the challenge in Sigma protocols, which is 192 bits. \n\nThe `secureRandomBytes` function generates a secure random byte array of a specified length using the `secureRandom` constant defined above. \n\nOverall, this code provides a set of constants and functions that are used throughout the SigmaState project for secure communication and data transfer. For example, the `secureRandomBytes` function can be used to generate a secure random key for encryption or decryption. The `groupSize` constant can be used to ensure that data is properly encoded and decoded for transfer within the project. The `hashLength` constant can be used to ensure that signatures are properly generated and verified.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines constants and types related to cryptography for the SigmaState project.\n\n2. What cryptographic algorithms or protocols are being used?\n- The code uses the SecP256K1 elliptic curve group, the Blake2b hash function, and Sigma protocols.\n\n3. What is the significance of the `soundnessBits` variable?\n- `soundnessBits` is the size of the challenge in Sigma protocols, and it must be less than the group size in bits. Changing its value requires implementing polynomials over a different field and changing related code.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.md"}}],["247",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala)\n\nThe code above is a part of the SigmaState project and is located in the sigmastate.basics package. The purpose of this code is to provide a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. \n\nThe `soundnessBytes` value is calculated by dividing the `CryptoConstants.soundnessBits` value by 8. This value is used to determine the number of bytes that should be returned in the resulting hash. \n\nThe `hashFn` method uses the Blake2b256 hash function to generate a 32-byte hash of the input byte array. It then creates a new byte array with a length equal to `soundnessBytes` and copies the first `soundnessBytes` bytes of the hash into the new array. This new array is then returned as the result of the method. \n\nThis code can be used in the larger project to provide a secure and efficient way to hash data. It can be used to hash passwords, user data, and other sensitive information. The resulting hash can be stored in a database or used for authentication purposes. \n\nHere is an example of how this code can be used:\n\n```scala\nval input = \"password123\".getBytes(\"UTF-8\")\nval hashedInput = CryptoFunctions.hashFn(input)\nprintln(s\"Hashed input: ${hashedInput.mkString}\")\n```\n\nThis code takes the string \"password123\" and converts it to a byte array using the UTF-8 encoding. It then passes this byte array to the `hashFn` method, which returns a new byte array containing the first `soundnessBytes` bytes of the hash. Finally, the resulting hash is printed to the console.\n## Questions: \n 1. What is the purpose of the `CryptoFunctions` object?\n- The `CryptoFunctions` object contains a method for hashing an input into a 32-byte hash and returning the first `soundnessBytes` bytes of the hash in a new array.\n\n2. What is the value of `soundnessBytes` and how is it calculated?\n- The value of `soundnessBytes` is calculated by dividing `CryptoConstants.soundnessBits` by 8. It is a lazy val, meaning it is only calculated once and then stored for future use.\n\n3. What hashing algorithm is used in the `hashFn` method?\n- The `hashFn` method uses the Blake2b256 hashing algorithm from the `scorex.crypto.hash` package to hash the input.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.md"}}],["248",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala)\n\nThe `DLogProtocol` object contains the implementation of the discrete logarithm signature protocol. The protocol is used to prove knowledge of a secret value `w` such that `g^w = value`, where `g` is a generator of a group and `value` is a public key. The protocol consists of three messages: the first message is a commitment to a random value `r`, the second message is a response `z` computed using the secret value `w`, and the third message is a proof that the response `z` is correct.\n\nThe `DLogSigmaProtocol` trait defines the interface for the discrete logarithm sigma protocol. The `ProveDlog` case class represents a public key of the protocol. It extends the `SigmaProofOfKnowledgeLeaf` trait, which is a leaf node of the sigma protocol tree. The `ProveDlog` object contains a `PropositionCode` that identifies the type of the proposition.\n\nThe `DLogProverInput` case class represents the private input of the protocol. It contains the secret value `w`. The `FirstDLogProverMessage` case class represents the first message of the protocol, which is a commitment to a random value `r`. The `SecondDLogProverMessage` case class represents the second message of the protocol, which is a response `z` computed using the secret value `w`.\n\nThe `DLogInteractiveProver` object contains functions to generate the first and second messages of the protocol, as well as to simulate the protocol. The `firstMessage` function generates a random value `r` and computes the first message `a = g^r`, where `g` is a generator of the group. The `secondMessage` function computes the second message `z = r + ew mod q`, where `e` is the challenge from the verifier and `q` is the order of the group. The `simulate` function simulates the protocol by generating a random value `z` and computing the first message `a = g^z * h^(-e)`, where `h` is the public key and `e` is the challenge.\n\nThe `computeCommitment` function computes the commitment to randomness based on the verifier's challenge and the prover's response. It computes `a = g^z/h^e`, where `g` is the generator of the group, `h` is the public key, `z` is the response, and `e` is the challenge.\n\nOverall, the `DLogProtocol` object provides the implementation of the discrete logarithm signature protocol, which can be used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization.\n## Questions: \n 1. What is the purpose of the `DLogProtocol` object?\n- The `DLogProtocol` object contains implementations of the discrete logarithm signature protocol, including helper functions for generating random secrets and computing commitments.\n\n2. What is the `ProveDlog` case class used for?\n- The `ProveDlog` case class represents a public key in the discrete logarithm signature protocol and is used to construct a new `SigmaBoolean` value.\n\n3. What is the purpose of the `DLogInteractiveProver` object?\n- The `DLogInteractiveProver` object contains functions for generating the first and second messages of the discrete logarithm signature protocol, as well as simulating the protocol and computing the prover's commitment to randomness.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.md"}}],["249",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala)\n\nThe code defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme. The DHT protocol is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The protocol is based on the discrete logarithm problem, which is believed to be hard to solve in practice. The Sigma protocol is a type of zero-knowledge proof that allows one party (the prover) to convince another party (the verifier) that they know a secret without revealing the secret itself.\n\nThe code defines several classes and methods that implement the DHT Sigma protocol. The `DiffieHellmanTupleProtocol` trait defines the interface for the protocol, which includes two message types (`FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage`) and a private input type (`DiffieHellmanTupleProverInput`). The `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points (`g`, `h`, `u`, and `v`). The `DiffieHellmanTupleInteractiveProver` object defines methods for generating the two messages required by the protocol (`firstMessage` and `secondMessage`) and for simulating the protocol (`simulate`). The `computeCommitment` method computes the prover's commitment to randomness based on the verifier's challenge and the prover's response.\n\nThe `DiffieHellmanTupleProverInput` case class represents the private input to the protocol, which consists of a random value `w` and the public input `commonInput`. The `random` method generates a random private input by selecting a random value `w` and computing the corresponding elliptic curve points `u` and `v` based on the public input `commonInput`.\n\nThe `FirstDiffieHellmanTupleProverMessage` case class represents the first message sent by the prover to the verifier. The message consists of two elliptic curve points `a` and `b`, which are computed as `a = g^r` and `b = h^r`, where `r` is a random value selected by the prover.\n\nThe `SecondDiffieHellmanTupleProverMessage` case class represents the second message sent by the prover to the verifier. The message consists of a single value `z`, which is computed as `z = r + ew mod q`, where `r` is the random value selected by the prover, `e` is the verifier's challenge, `w` is the prover's private input, and `q` is the order of the elliptic curve group.\n\nThe `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points `g`, `h`, `u`, and `v`. The `size` method returns the number of nodes in the corresponding Sigma tree, which is four in this case. The `ProveDHTupleProp` object provides an extractor for matching SigmaProp values and extracting `ProveDHTuple` objects from them.\n\nOverall, this code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project. The `DiffieHellmanTupleInteractiveProver` object can be used to generate the two messages required by the protocol, while the `computeCommitment` method can be used to compute the prover's commitment to randomness. The `ProveDHTuple` case class represents the public input to the protocol, which can be used to construct a new `SigmaProp` value representing the public key of the DHT signature scheme.\n## Questions: \n 1. What is the purpose of the `DiffieHellmanTupleProtocol` trait and its associated case classes?\n- The `DiffieHellmanTupleProtocol` trait defines the structure of a Sigma protocol for proving knowledge of a Diffie-Hellman tuple. The `FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage` case classes represent the messages sent by the prover during the protocol.\n\n2. What is the `ProveDHTuple` case class used for?\n- The `ProveDHTuple` case class represents the public input to the Diffie-Hellman tuple protocol, consisting of four elliptic curve points. It also implements the `SigmaProofOfKnowledgeLeaf` trait, which defines methods for verifying the protocol.\n\n3. What is the purpose of the `DiffieHellmanTupleInteractiveProver` object?\n- The `DiffieHellmanTupleInteractiveProver` object contains methods for generating the messages sent by the prover during the Diffie-Hellman tuple protocol, as well as simulating the protocol for testing purposes. It also includes a method for computing the prover's commitment to randomness based on the verifier's challenge and the prover's response.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.md"}}],["250",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala)\n\nThe code defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. The discrete logarithm problem is a mathematical problem that involves finding a unique integer x given a generator g of a finite group G and a random element h in G such that g^x = h. In cryptography, groups for which the discrete logarithm problem is assumed to be hard are of interest. The most known groups of that kind are some Elliptic curve groups.\n\nThe DlogGroup trait has several methods that are used to perform operations on the group. The generator method returns the generator of the Dlog group, which is an element of the group such that, when written multiplicatively, every element of the group is a power of the generator. The order method returns the order of the Dlog group, and the identity method returns the identity element of the Dlog group.\n\nThe trait also has methods for performing operations on group elements. The inverseOf method calculates the inverse of a given group element, and the exponentiate method raises a base group element to the exponent. The multiplyGroupElements method multiplies two group elements.\n\nThe trait also has methods for creating random elements and generators of the Dlog group. The createRandomElement method creates a random member of the Dlog group, and the createRandomGenerator method creates a random generator of the Dlog group.\n\nThe exponentiateWithPreComputedValues method computes the product of several exponentiations of the same base and distinct exponents. An optimization is used to compute it more quickly by keeping in memory the result of h1, h2, h4,h8,... and using it in the calculation. The endExponentiateWithPreComputedValues method cleans up any resources used by exponentiateWithPreComputedValues for the requested base.\n\nFinally, the maxLengthOfByteArrayForEncoding method returns the maximum length of a string to be encoded to a Group Element of this group. Any string of length k has a numeric value that is less than (p-1)/2 - 1. k is the maximum length a binary string is allowed to be in order to encode the said binary string to a group element and vice-versa. If a string exceeds the k length, it cannot be encoded.\n\nOverall, the DlogGroup trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines the general interface for the discrete logarithm prime-order group and provides methods for performing various operations on the group.\n\n2. What is the significance of the `ElemType` type parameter?\n- `ElemType` is a concrete type that represents an element of the Dlog group. It is used throughout the interface to specify the type of input and output for various methods.\n\n3. What is the purpose of the `createRandomGenerator` method?\n- The `createRandomGenerator` method generates a random generator of the Dlog group. In prime order groups, every element except the identity is a generator, so this method generates a random element and checks if it is the identity. If it is, it generates a new random element until a non-identity element is found.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.md"}}],["251",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala)\n\nThe code provided is a part of the SigmaState project and contains a set of traits and classes that abstract Sigma protocols. Sigma protocols are a type of cryptographic protocol that allows two parties to prove knowledge of a secret without revealing the secret itself. The purpose of this code is to provide functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization.\n\nThe `TranscriptMessage` trait is an abstract trait that represents a message sent between two parties during a Sigma protocol interaction. The `ProverMessage` and `VerifierMessage` traits extend `TranscriptMessage` and represent messages sent by the prover and verifier, respectively. The `VerifierMessage` object contains a `Challenge` type that represents a challenge from the verifier in a Sigma protocol.\n\nThe `FirstProverMessage` and `SecondProverMessage` traits extend `ProverMessage` and represent the first and second messages sent by the prover in a Sigma protocol. These messages are denoted as `a` and `z` in the Sigma protocol.\n\nThe `SigmaProtocol` trait is an abstract template for Sigma protocols. It defines two associated types, `A` and `Z`, which represent the first and second prover messages, respectively. The `SigmaProtocolCommonInput` trait represents the common input to a Sigma protocol, and the `SigmaProtocolPrivateInput` trait represents the private input to a Sigma protocol.\n\nOverall, this code provides a foundation for creating and interacting with Sigma protocols in a secure and efficient manner. It can be used as a building block for larger projects that require cryptographic protocols for secure communication and data exchange. Below is an example of how the `Challenge` type can be used:\n\n```\nimport sigmastate.basics.VerifierMessage.Challenge\n\nval challenge: Challenge = Challenge(Array[Byte](1, 2, 3))\n```\n## Questions: \n 1. What is the purpose of this code and what problem does it solve?\n \n This code provides functionality for abstracting Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. It also includes serialization/deserialization capabilities.\n\n2. What are the different types of messages defined in this code and how are they used in Sigma protocols?\n \n There are three types of messages defined in this code: `TranscriptMessage`, `ProverMessage`, and `VerifierMessage`. `ProverMessage` and `VerifierMessage` are used in Sigma protocol interactions, with `FirstProverMessage` and `SecondProverMessage` representing the first and second messages from the prover, respectively. `VerifierMessage` includes a `Challenge` object representing the challenge from the verifier.\n\n3. What is the purpose of the `SigmaProtocol` trait and its associated types?\n \n The `SigmaProtocol` trait is an abstract template for Sigma protocols, with associated types `A` and `Z` representing the first and second prover messages, respectively. It is used to define the structure and behavior of Sigma protocols in a generic way, allowing for flexibility and extensibility in implementing specific protocols.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.md"}}],["252",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics)\n\nThe code in this folder provides the foundation for working with discrete logarithm groups and Sigma protocols in the SigmaState project. Discrete logarithm groups are used in cryptography for secure communication and data transfer, while Sigma protocols are cryptographic protocols that allow two parties to prove knowledge of a secret without revealing the secret itself.\n\nThe `BcDlogGroup.scala` file defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. This class provides a common interface for different types of discrete logarithm groups and can be used in cryptographic protocols. The `SecP256K1Group` object is an instance of the BcDlogGroup class with a specific cryptographic context, which can be used in cryptographic protocols that require a discrete logarithm group with a specific context.\n\nThe `CryptoConstants.scala` file defines a set of constants and functions related to cryptography for the SigmaState project. These constants and functions are used throughout the project for secure communication and data transfer, such as generating secure random keys for encryption or decryption, and ensuring that data is properly encoded and decoded for transfer within the project.\n\nThe `CryptoFunctions.scala` file provides a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. This code can be used to hash passwords, user data, and other sensitive information, and the resulting hash can be stored in a database or used for authentication purposes.\n\nThe `DLogProtocol.scala` file contains the implementation of the discrete logarithm signature protocol, which is used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization.\n\nThe `DiffieHellmanTupleProtocol.scala` file defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme, which is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project.\n\nThe `DlogGroup.scala` file defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. This trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups.\n\nThe `SigmaProtocolFunctions.scala` file contains a set of traits and classes that abstract Sigma protocols, providing functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization.\n\nOverall, the code in this folder serves as a building block for larger projects that require cryptographic protocols for secure communication and data exchange.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/summary.md"}}],["253",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala)\n\nThe `BigIntegers` object in the `sigmastate.crypto` package provides utility functions for working with `BigInteger` objects in Scala. \n\nThe `createRandom` method generates a random byte array of length `nBytes` (calculated from the input `bitLength`), and then strips off any excess bits in the most significant byte to ensure that the resulting `BigInteger` has the desired bit length. This method is used internally by the other methods in the object to generate random `BigInteger` values.\n\nThe `createRandomBigInteger` method generates a random `BigInteger` with the specified bit length using the `createRandom` method. The resulting `BigInteger` is guaranteed to be positive.\n\nThe `createRandomInRange` method generates a random `BigInteger` between the specified `min` and `max` values (inclusive) using the `createRandomBigInteger` method. If `min` is greater than `max`, the method throws an `IllegalArgumentException`. If `min` has a bit length greater than half of `max`'s bit length, the method recursively calls itself with `min` set to 0 and `max` set to `max - min`, and then adds `min` to the resulting `BigInteger`. This is done to avoid bias in the random number generation when the range is small compared to the maximum possible value of a `BigInteger`. If the maximum number of iterations is reached without finding a suitable `BigInteger`, the method falls back to a faster (but less secure) method of generating a random `BigInteger`.\n\nThe `asUnsignedByteArray` methods convert a `BigInteger` to an unsigned byte array of the specified length. The first method pads the resulting byte array with leading zeros as necessary, while the second method removes any leading zero byte that may be present in the signed encoding of the `BigInteger`.\n\nOverall, the `BigIntegers` object provides convenient methods for generating and manipulating random `BigInteger` values in a secure and unbiased manner. These methods may be used in various cryptographic protocols and applications that require the use of large integers. \n\nExample usage:\n\n```scala\nimport sigmastate.crypto.BigIntegers\nimport scala.util.Random\n\nval random = new Random()\n\n// Generate a random 256-bit positive BigInteger\nval randomBigInt = BigIntegers.createRandomBigInteger(256, random)\n\n// Generate a random BigInteger between 100 and 200 (inclusive)\nval min = new BigInteger(\"100\")\nval max = new BigInteger(\"200\")\nval randomInRange = BigIntegers.createRandomInRange(min, max, random)\n\n// Convert a BigInteger to an unsigned byte array of length 32\nval byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt)\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code provides utility functions for working with BigIntegers in the context of cryptography, including generating random BigIntegers and converting them to byte arrays.\n\n2. What is the significance of the MAX_ITERATIONS constant?\n- The MAX_ITERATIONS constant is used as a limit for the number of attempts to generate a random BigInteger within a specified range. If the limit is reached without finding a suitable value, a fallback method is used.\n\n3. Why is the asUnsignedByteArray method necessary?\n- The asUnsignedByteArray method is necessary because the toByteArray method of BigInteger includes a leading sign bit, which may cause issues when working with cryptographic protocols that require unsigned byte arrays. This method removes the sign bit and pads the resulting byte array with leading zeros as necessary.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.md"}}],["254",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala)\n\nThe code above defines an abstract class called CryptoContext, which serves as a blueprint for implementing cryptographic operations in a larger project. The class contains several abstract methods that must be implemented by any concrete class that extends it. \n\nThe first two methods, getModulus and getOrder, return BigInteger values that represent the modulus and order of the elliptic curve used in the cryptographic operations. These values are important for ensuring the security of the cryptographic system. \n\nThe next three methods, validatePoint, getInfinity, and decodePoint, all deal with elliptic curve points. The validatePoint method takes two BigInteger values, x and y, and returns an Ecp object that represents a point on the elliptic curve. This method is used to validate that a given point is indeed on the curve. The getInfinity method returns an Ecp object that represents the point at infinity on the elliptic curve. Finally, the decodePoint method takes an array of bytes that represents a point on the curve and returns an Ecp object that represents that point. \n\nThe last method, getGenerator, returns an Ecp object that represents the generator point of the elliptic curve. This point is used in various cryptographic operations, such as key generation and signature verification. \n\nOverall, the CryptoContext class provides a high-level interface for performing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve. \n\nExample usage:\n\n```\n// create a concrete class that extends CryptoContext\nclass MyCryptoContext extends CryptoContext {\n def getModulus: BigInteger = ...\n\n def getOrder: BigInteger = ...\n\n def validatePoint(x: BigInteger, y: BigInteger): Ecp = ...\n\n def getInfinity(): Ecp = ...\n\n def decodePoint(encoded: Array[Byte]): Ecp = ...\n\n def getGenerator: Ecp = ...\n}\n\n// use the concrete class to perform cryptographic operations\nval context = new MyCryptoContext()\nval point = context.validatePoint(x, y)\nval generator = context.getGenerator()\n```\n## Questions: \n 1. What is the purpose of this `CryptoContext` class?\n - The `CryptoContext` class is an abstract class that defines methods for working with elliptic curve cryptography, including getting the modulus and order, validating points, getting the infinity point, decoding points, and getting the generator.\n\n2. What is the `Ecp` class and how is it related to this `CryptoContext` class?\n - The `Ecp` class is likely a class that represents a point on an elliptic curve. It is related to the `CryptoContext` class because several of the methods in `CryptoContext` take `Ecp` objects as parameters or return them.\n\n3. What is the expected input and output of the `validatePoint` method?\n - The `validatePoint` method takes two `BigInteger` parameters (`x` and `y`) that likely represent the coordinates of a point on an elliptic curve. It returns an `Ecp` object, which may represent the same point if it is valid, or throw an exception if it is not valid.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.md"}}],["255",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala)\n\nThe `CryptoFacade` object in the `sigmastate.crypto` package provides a set of utility functions for cryptographic operations used in the larger project. \n\nThe object defines several constants, including `Encoding`, which is set to \"UTF-8\", `SecretKeyLength`, which is set to 32, and `BitcoinSeed`, which is an array of bytes representing the string \"Bitcoin seed\". It also defines `Pbkdf2Algorithm`, which is set to \"PBKDF2WithHmacSHA512\", `Pbkdf2Iterations`, which is set to 2048, and `Pbkdf2KeyLength`, which is set to 512. These constants are used in various functions defined in the object.\n\nThe object defines several utility functions for elliptic curve cryptography (ECC) operations, including `normalizePoint`, `negatePoint`, `isInfinityPoint`, `exponentiatePoint`, `multiplyPoints`, `showPoint`, `testBitZeroOfFieldElem`, `getEncodedOfFieldElem`, `getEncodedPoint`, `getXCoord`, `getYCoord`, `getAffineXCoord`, and `getAffineYCoord`. These functions take as input and output various ECC-related data types, such as `Ecp` and `ECFieldElem`. These functions are used to perform ECC operations in the larger project.\n\nThe object also defines several utility functions for generating and manipulating cryptographic keys and random numbers, including `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These functions are used to generate and manipulate cryptographic keys and random numbers in the larger project.\n\nFinally, the object defines a function `normalizeChars` that normalizes a sequence of char values using NFKD normalization form. This function is used to normalize mnemonic phrases and passwords before generating a PBKDF2 key.\n\nOverall, the `CryptoFacade` object provides a set of utility functions for performing various cryptographic operations used in the larger project, including ECC operations, key generation and manipulation, and random number generation.\n## Questions: \n 1. What is the purpose of the CryptoFacade object?\n- The CryptoFacade object provides various utility functions related to cryptography, such as point operations, random number generation, and key derivation.\n\n2. What is the significance of the BitcoinSeed constant?\n- The BitcoinSeed constant is used as the key parameter for the hashHmacSHA512 function, which is used in key derivation.\n\n3. What is the role of the Platform object in this code?\n- The Platform object provides an abstraction layer for platform-specific implementations of cryptographic operations, allowing the code to be used across different platforms.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.md"}}],["256",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala)\n\nThe GF2_192_Poly class is a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. \n\nThe constructor GF2_192_Poly(coeff0, moreCoeffs) constructs the polynomial given the byte array representation of the coefficients. The coefficient of degree zero is given separately, and each coefficient should be given as a 24-byte representation of a GF2_192 value. Coefficient of degree 1 should start at moreCoeffs[0]. \n\nThe method evaluate(x) evaluates the polynomial at a given point x. The method addMonicTimesConstantTo(p, r) adds r*p to this polynomial, assuming p is monic, c.length>p.deg, and (p.deg == this.deg+1, or this==0 and p==1). The method monicTimesMonomial(r) multiplies this polynomial by (x+r), assuming this is monic of degree deg (i.e. assumed c[deg]==1). \n\nThe method toByteArray(coeff0) returns a byte array that contains the concatenation of all the coefficients (except possibly the degree-0 coefficient, which is omitted if coeff0 is false). The lowest-degree coefficient (0 or 1 depending on coeff0) starts at index 0 of the returned array. Each coefficient takes 24 bytes, for a total of degree*24 bytes if coeff0 is false, or (degree+1)*24 bytes if coeff0 is true. \n\nThe method interpolate(points, values, valueAt0) interpolates the polynomial at given points (and at point 0, if valueAt0!=null). If points are not all distinct, or if 0 is in the points array and valueAt0!=null, behavior is undefined. valueAt0 is separated only for efficiency reason; the caller can treat 0 like any other point instead (i.e., the points array can include 0 if valueAt0==null, but computation will be slightly less efficient). If points is null, or values is null, or if lengths of points and values arrays differ, or if the arrays are 0 length and valueAt0 is null, returns null. The method returns the unique lowest-degree polynomial p such that for every i, p(points[i]) = values[i] and p(0)=valueAt0 (if valueAt0!=null). \n\nOverall, the GF2_192_Poly class provides a useful tool for working with polynomials over the finite field GF(2^192) and can be used in cryptographic applications that require polynomial interpolation and evaluation.\n## Questions: \n 1. What is the purpose of the GF2_192_Poly class?\n- The GF2_192_Poly class represents a polynomial with coefficients in the finite field GF(2^192). It provides methods for constructing, evaluating, and manipulating such polynomials.\n\n2. What is the format of the byte arrays used to represent the polynomial coefficients?\n- Each coefficient is represented as a 24-byte array, which is the byte representation of a GF2_192 value. The byte arrays for the coefficients are concatenated to form a larger byte array.\n\n3. What is the purpose of the interpolate method in the GF2_192_Poly object?\n- The interpolate method takes in arrays of distinct points and their corresponding values, and returns the unique lowest-degree polynomial that passes through those points. If a value is provided for the point x=0, the resulting polynomial will also evaluate to that value at x=0.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.md"}}],["257",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/package.scala)\n\nThis code defines two type aliases, `Ecp` and `ECFieldElem`, within the `crypto` package object of the `sigmastate` project. These aliases are used to refer to instances of an Elliptic Curve point and an Elliptic Curve field element, respectively. \n\nThe purpose of this code is to provide a convenient way to refer to these types throughout the `sigmastate` project. By defining these aliases, developers can use `Ecp` and `ECFieldElem` instead of typing out the full names of these types every time they are used. This can make the code more readable and easier to maintain.\n\nHere is an example of how these aliases might be used in the larger project:\n\n```scala\nimport sigmastate.crypto._\n\nval point1: Ecp = // create an instance of an Elliptic Curve point\nval point2: Ecp = // create another instance of an Elliptic Curve point\n\nval sum: Ecp = point1.add(point2) // add the two points together\n```\n\nIn this example, we import the `crypto` package object from the `sigmastate` project, which includes the `Ecp` type alias. We then create two instances of `Ecp` and add them together using the `add` method provided by the `Ecp` class. By using the `Ecp` alias instead of the full class name, the code is more concise and easier to read.\n\nOverall, this code provides a simple but useful abstraction for working with Elliptic Curve points and field elements in the `sigmastate` project.\n## Questions: \n 1. What is the purpose of the `crypto` package object?\n \n The `crypto` package object defines type aliases for `Ecp` and `ECFieldElem` from the `Platform` object, which are likely used for cryptographic operations involving elliptic curves.\n\n2. What is the `Ecp` type alias used for?\n \n The `Ecp` type alias is used to represent an instance of an elliptic curve point, which is likely used in cryptographic operations involving elliptic curves.\n\n3. What is the `ECFieldElem` type alias used for?\n \n The `ECFieldElem` type alias is used to represent an element of an elliptic curve field, which is likely used in cryptographic operations involving elliptic curves.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/package.md"}}],["258",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto)\n\nThe `sigmastate.crypto` package in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder provides utility functions and classes for cryptographic operations used in the larger project. It contains several files that deal with different aspects of cryptography, such as working with large integers, elliptic curve cryptography, and polynomial operations over finite fields.\n\n`BigIntegers.scala` provides utility functions for working with `BigInteger` objects in Scala. It includes methods for generating random `BigInteger` values with specified bit lengths and ranges, as well as converting `BigInteger` objects to unsigned byte arrays. These methods can be used in various cryptographic protocols and applications that require the use of large integers.\n\n```scala\nimport sigmastate.crypto.BigIntegers\nimport scala.util.Random\n\nval random = new Random()\n\n// Generate a random 256-bit positive BigInteger\nval randomBigInt = BigIntegers.createRandomBigInteger(256, random)\n\n// Generate a random BigInteger between 100 and 200 (inclusive)\nval min = new BigInteger(\"100\")\nval max = new BigInteger(\"200\")\nval randomInRange = BigIntegers.createRandomInRange(min, max, random)\n\n// Convert a BigInteger to an unsigned byte array of length 32\nval byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt)\n```\n\n`CryptoContext.scala` defines an abstract class called `CryptoContext`, which serves as a blueprint for implementing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve.\n\n```scala\n// create a concrete class that extends CryptoContext\nclass MyCryptoContext extends CryptoContext {\n def getModulus: BigInteger = ...\n\n def getOrder: BigInteger = ...\n\n def validatePoint(x: BigInteger, y: BigInteger): Ecp = ...\n\n def getInfinity(): Ecp = ...\n\n def decodePoint(encoded: Array[Byte]): Ecp = ...\n\n def getGenerator: Ecp = ...\n}\n\n// use the concrete class to perform cryptographic operations\nval context = new MyCryptoContext()\nval point = context.validatePoint(x, y)\nval generator = context.getGenerator()\n```\n\n`CryptoFacade.scala` provides a set of utility functions for cryptographic operations, including elliptic curve cryptography (ECC) operations, key generation and manipulation, and random number generation. These functions can be used throughout the larger project for various cryptographic tasks.\n\n`GF2_192_Poly.scala` defines a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. This class can be used in cryptographic applications that require polynomial interpolation and evaluation.\n\nOverall, the `sigmastate.crypto` package provides a collection of utility functions and classes for performing various cryptographic operations, which can be used throughout the larger project to ensure the security and correctness of the implemented protocols and applications.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/summary.md"}}],["259",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala)\n\nThe code provided defines two objects, `OrderingOps` and `NumericOps`, which contain traits and implicit objects for handling ordering and arithmetic operations on BigIntegers. \n\nThe `OrderingOps` object defines two traits, `BigIntegerOrdering` and `BigIntOrdering`, which extend the `Ordering` trait and implement the `compare` method for comparing `BigInteger` and `BigInt` values, respectively. The object also defines implicit objects for each trait, which can be used to provide ordering for `BigInteger` and `BigInt` values in other parts of the code.\n\nThe `NumericOps` object defines two traits, `BigIntIsIntegral` and `BigIntIsExactIntegral`, which extend the `Integral` and `ExactIntegral` traits, respectively, and provide implementations for arithmetic operations on `BigInt` values. The `BigIntIsIntegral` trait defines methods for addition, subtraction, multiplication, negation, and conversion to various numeric types, as well as a `rem` method for computing the remainder of a division operation. The `BigIntIsExactIntegral` trait extends `ExactIntegral` and provides implementations for the same arithmetic operations, as well as a `divisionRemainder` method for computing the remainder of a division operation. \n\nThe `BigIntIsExactOrdering` object extends `ExactOrderingImpl` and provides an implementation of the `compare` method for comparing `BigInt` values using the `BigIntIsIntegral` trait. \n\nOverall, these objects provide a set of tools for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values, which can be used in other parts of the project to perform computations and comparisons involving these types. For example, the `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively.\n## Questions: \n 1. What is the purpose of the `OrderingOps` object?\n- The `OrderingOps` object provides implicit ordering instances for `BigInteger` and `BigInt` types.\n\n2. What is the difference between `BigIntIsIntegral` and `BigIntIsExactIntegral`?\n- `BigIntIsIntegral` provides a base implementation of integral methods for `BigInt`, while `BigIntIsExactIntegral` is an instance of the `ExactIntegral` typeclass for `BigInt` that provides exact arithmetic operations.\n\n3. What is the purpose of the `divisionRemainder` method in `BigIntIsExactIntegral`?\n- The `divisionRemainder` method is used to implement the `%` operation of ErgoTree for all numeric types, including `BigInt`. It corresponds to the `mod` method of `java.math.BigInteger`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.md"}}],["260",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala)\n\nThis code provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. The main purpose of this code is to provide a way to work with Sigma-State values and operations in a more user-friendly manner, by wrapping them in higher-level abstractions.\n\nThe main classes and traits implemented in this code are:\n\n- `WrapperOf[T]`: A trait for wrapper classes that provide access to the underlying wrapped value of type `T`.\n- `CBigInt`: A default implementation of the `BigInt` interface, wrapping a `BigInteger` value.\n- `CGroupElement`: A default implementation of the `GroupElement` interface, wrapping an `Ecp` value (elliptic curve point).\n- `CSigmaProp`: A default implementation of the `SigmaProp` interface, wrapping a `SigmaBoolean` value.\n- `CAvlTreeVerifier`: An implementation of the `AvlTreeVerifier` trait based on `BatchAVLVerifier`.\n- `CAvlTree`: A default implementation of the `AvlTree` interface, wrapping an `AvlTreeData` value.\n- `CAnyValue`: A default implementation of the `AnyValue` interface, wrapping a value of any type `A`.\n- `CostingBox`: A default implementation of the `Box` interface, wrapping an `ErgoBox` value.\n- `CPreHeader`: A default implementation of the `PreHeader` interface.\n- `CHeader`: A default implementation of the `Header` interface.\n- `CostingSigmaDslBuilder`: A default implementation of the `SigmaDslBuilder` interface, providing methods for constructing Sigma-State values and operations.\n- `CostingDataContext`: A default implementation of the `Context` interface, providing access to various context data and methods.\n\nThese implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods.\n## Questions: \n 1. **Question**: What is the purpose of the `WrapperOf[T]` trait?\n **Answer**: The `WrapperOf[T]` trait is an interface implemented by wrapper classes to provide access to the underlying wrapped value of type `T`. It has a single method `wrappedValue` which returns the data value wrapped by the implementing class.\n\n2. **Question**: How does the `CBigInt` class handle arithmetic operations like addition, subtraction, and multiplication?\n **Answer**: The `CBigInt` class handles arithmetic operations by calling the corresponding methods on the wrapped `BigInteger` value and then wrapping the result back into a `CBigInt` instance. For example, in the `add` method, it calls `wrappedValue.add(...)` and then wraps the result using `dsl.BigInt(...)`. It also ensures that the result is a 256-bit value using the `to256BitValueExact` method.\n\n3. **Question**: How does the `CAvlTree` class handle tree operations like insert, update, and remove?\n **Answer**: The `CAvlTree` class handles tree operations by creating a `CAvlTreeVerifier` instance with the current tree data and then performing the corresponding operation using the `BatchAVLVerifier` methods. For example, in the `insert` method, it calls `bv.performOneOperation(Insert(...))` for each entry to be inserted. After all operations are performed, it updates the tree digest if the operation was successful.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.md"}}],["261",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala)\n\nThe Evaluation object in the sigmastate.eval package provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object contains several methods that are used to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl, which is used during evaluation. \n\nThe stypeToRType method takes an SType object and returns the corresponding RType descriptor of SigmaDsl. The method uses pattern matching to match the SType object with the corresponding RType descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeToSType method takes an RType descriptor of SigmaDsl and returns the corresponding serializable ErgoTree type descriptor. The method uses pattern matching to match the RType descriptor with the corresponding ErgoTree type descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeOf method tries to reconstruct the RType of a given value. If successful, it returns the RType descriptor. The method uses pattern matching to match the value with the corresponding RType descriptor. \n\nThe fromDslTuple method converts SigmaDsl representation of a tuple to ErgoTree serializable representation. The method takes a value and a tuple type descriptor and returns a collection of values. \n\nThe toDslTuple method converts ErgoTree serializable representation of a tuple to SigmaDsl representation. The method takes a collection of values and a tuple type descriptor and returns a tuple. \n\nOverall, the Evaluation object provides essential helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object is used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl.\n## Questions: \n 1. What is the purpose of the `Evaluation` object?\n- The `Evaluation` object provides helper methods for evaluating ErgoScript expressions.\n\n2. What is the `addCostChecked` method used for?\n- The `addCostChecked` method is used to accumulate cost while checking if the total cost exceeds a given limit. If the new cost exceeds the limit, a `CostLimitException` is thrown.\n\n3. What is the purpose of the `rtypeOf` method?\n- The `rtypeOf` method tries to reconstruct the `RType` of a given value. If successful, it returns the `RType`. If not, it returns a failure.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.md"}}],["262",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala)\n\nThe code above defines a final class called \"InvalidType\" that extends the built-in Exception class in Scala. The purpose of this class is to provide a custom exception that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. \n\nIn the context of the larger project, this class is likely used in conjunction with other classes and methods in the \"sigmastate.eval\" package to evaluate Sigma expressions. Sigma is a language for writing smart contracts on the blockchain, and the \"sigmastate.eval\" package contains classes and methods for evaluating Sigma expressions in a type-safe manner. \n\nWhen an invalid type is encountered during evaluation, the \"InvalidType\" exception can be thrown with a custom error message. This allows the calling code to handle the exception in a way that is appropriate for the specific use case. For example, if the Sigma expression is part of a smart contract, the exception could be caught and handled in a way that ensures the contract is executed correctly and securely. \n\nHere is an example of how the \"InvalidType\" exception could be used in code:\n\n```\ndef evaluateExpression(expr: SigmaExpr): Any = {\n expr match {\n case IntConstant(i) => i\n case BooleanConstant(b) => b\n case StringConstant(s) => s\n case _ => throw new InvalidType(\"Invalid expression type\")\n }\n}\n```\n\nIn this example, the \"evaluateExpression\" method takes a Sigma expression as input and returns the result of evaluating the expression. If the expression is not an integer, boolean, or string constant, the \"InvalidType\" exception is thrown with a custom error message. This ensures that the calling code can handle the exception appropriately and prevent any unexpected behavior or security vulnerabilities.\n## Questions: \n 1. What is the purpose of the `InvalidType` class?\n \n The `InvalidType` class is an exception class that is used to indicate an invalid type in the Sigma programming language.\n\n2. Why is the `InvalidType` class marked as `final`?\n \n The `final` keyword is used to indicate that the `InvalidType` class cannot be subclassed. This is likely done to prevent unintended modifications to the exception handling behavior.\n\n3. Where is the `InvalidType` class used in the project?\n \n Without additional context, it is difficult to determine where the `InvalidType` class is used in the project. It is possible that it is used in various places throughout the codebase to handle invalid type errors.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.md"}}],["263",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala)\n\nThe code in this file defines various extension methods and implicit classes that can be used throughout the larger project. These extensions and classes provide additional functionality and convenience methods for working with various data types and structures.\n\nThe `ByteExt`, `IntExt`, and `LongExt` implicit classes provide methods for converting these primitive types to `BigInt`. This can be useful when working with cryptographic operations that require large integers.\n\nThe `ArrayOps` and `EvalIterableOps` implicit classes provide a `toColl` method that converts an array or iterable to a `Coll` object from the `special.collection` package. This can be useful when working with collections in the project.\n\nThe `EvalCollOps` implicit class provides a `toConstant` method that wraps a `Coll` object into a `ConstantNode` with the appropriate `SCollectionType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `DslDataOps` implicit class provides a `toTreeData` method that creates a `Constant` object from any data type that has an associated `RType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `toAnyValue` method creates a `CAnyValue` object from any data type that has an associated `RType`. This can be useful when working with generic data types.\n\nThe `ErgoBoxOps` implicit class provides a `toTestBox` method that converts an `ErgoBox` object to a `CostingBox` object. This can be useful when working with boxes in the Ergo platform.\n\nThe `showECPoint` method converts an `Ecp` object to a string representation. This can be useful when working with elliptic curve cryptography.\n\nThe `EcpOps` implicit class provides a `toGroupElement` method that converts an `Ecp` object to a `GroupElement` object from the `special.sigma` package. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `GroupElementOps` implicit class provides a `showToString` method that converts a `GroupElement` object to a string representation. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `DBufferOps` implicit class provides a `sumAll` method that sums all elements in a `DBuffer` object from the `debox` package. This can be useful when working with buffers in the project.\n\nOverall, this file provides a variety of extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures.\n## Questions: \n 1. What is the purpose of the `Extensions` object?\n- The `Extensions` object contains several implicit classes and methods that extend the functionality of existing classes and types.\n\n2. What is the purpose of the `toConstant` method in the `EvalCollOps` class?\n- The `toConstant` method wraps a collection into a `ConstantNode` using the collection's element type, which can be useful for passing collections as arguments to functions that expect constants.\n\n3. What is the purpose of the `showECPoint` method?\n- The `showECPoint` method takes an `Ecp` object and returns a string representation of the point, either \"INF\" if the point is infinity or the result of calling `CryptoFacade.showPoint` on the point otherwise.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.md"}}],["264",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala)\n\nThe code defines a simple profiler to measure the average execution times of ErgoTree operations. It consists of several classes and methods to collect, store, and analyze the profile measurements.\n\n`StatHolder` is an abstract class that holds a series of profile measurements associated with a key. It provides methods to compute simple statistics like count, sum, average, and mean.\n\n`StatCollection` is a class that collects profiler measured data points associated with keys. It groups points by key into `StatHolder`s. It provides methods to get the mean value for a given key, add a data point, and map each entry of the collected mapping to a new array of values using a given function.\n\n`Profiler` is the main class that measures the execution times of ErgoTree operations. It maintains a stack of `OpStat` instances, which represent the evaluation of a node in the ErgoTree. The `onBeforeNode` and `onAfterNode` methods are called before and after the evaluation of a node, respectively. These methods update the timing stats for the operations and methods using `addOpTime` and `addMcTime`.\n\nThe `addCostItem` method is used to add the cost item and its execution time to the `costItemsStat` collection. The `addEstimation` and `addJitEstimation` methods are used to add estimated cost and actual measured time data points to the `estimationCostStat` and `measuredTimeStat` collections for a given script.\n\nThe `generateReport` method generates a report containing operation timing tables using the collected execution profile information. It sorts and formats the data into a readable string representation.\n\nIn the larger project, this profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times.\n## Questions: \n 1. **What is the purpose of the `StatHolder` and `StatCollection` classes?**\n\n The `StatHolder` class holds a series of profile measurements associated with a key and allows computing simple statistic data. The `StatCollection` class collects profiler measured data points associated with keys, grouping points by key into `StatHolder`s.\n\n2. **How does the `Profiler` class work and what is its main functionality?**\n\n The `Profiler` class is a simple profiler to measure average execution times of ErgoTree operations. It maintains a stack of `OpStat` objects to track the execution times of operations and provides methods like `onBeforeNode` and `onAfterNode` to be called by the evaluator during the execution of nodes. It also collects and maintains various statistics related to operation timings, method calls, and cost items.\n\n3. **How does the `generateReport` method work and what information does it provide?**\n\n The `generateReport` method generates a report based on the collected execution profile information. It creates tables for operation timings, method calls, cost items, and estimation costs, sorting and formatting the data for better readability. The report provides information about execution times, counts, suggested costs, actual costs, and other relevant details for each operation, method call, and cost item.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.md"}}],["265",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/package.scala)\n\nThe code defines a package object called \"eval\" within the \"sigmastate\" package. It contains several implicit conversions and utility functions that can be used in the larger project. \n\nThe `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods that are not available in Dsl code and not in the `SigmaDslBuilder` interface. For example, methods like `Box` and `toErgoBox` are available here but not in Dsl. \n\nThe `Colls` object is the primary reference to global `Coll` operations. It can be used to create collections from an array, etc. \n\nThe `TupleColl` function is a constructor of tuple values with more than two items. Such long tuples are represented as `Coll[Any]`. This representation of tuples is different from the representation of pairs `(x, y)`, where `Tuple2` type is used instead of `Coll`. \n\nThe `BaseDigestColl` trait is a tagged type for `Coll[Byte]`. The `Digest32Coll` object extends `BaseDigestColl` and defines a type alias `Digest32Coll` for `Digest32Coll.Type`. The `Digest32CollRType` and `Digest32RType` are implicit conversions between `Coll[Byte]` and `Digest32Coll` and `Array[Byte]` and `Digest32`, respectively. \n\nThe code also defines several implicit conversions between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` and `bigIntToBigInteger` are implicit conversions between `BigInteger` and `BigInt`. Similarly, `ecPointToGroupElement` and `groupElementToECPoint` are implicit conversions between `EcPointType` and `GroupElement`, and `sigmaBooleanToSigmaProp` and `sigmaPropToSigmaBoolean` are implicit conversions between `SigmaBoolean` and `SigmaProp`. \n\nFinally, the code defines implicit conversions between `AvlTreeData` and `AvlTree` and between `ErgoBox` and `Box`. \n\nOverall, this code provides utility functions and implicit conversions that can be used in the larger project to simplify code and improve readability.\n## Questions: \n 1. What is the purpose of the `SigmaDsl` object and what methods does it contain?\n- The `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods such as `Box` and `toErgoBox` that are not available in Dsl code or in the `SigmaDslBuilder` interface.\n\n2. What is the purpose of the `Colls` object and how can it be used?\n- The `Colls` object is the primary reference to global `Coll` operations and can be used to create collections from arrays, etc.\n\n3. What are the implicit conversions defined in this code and what types do they convert between?\n- The implicit conversions defined in this code convert between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` converts from `java.math.BigInteger` to `BigInt`, while `sigmaBooleanToSigmaProp` converts from `SigmaBoolean` to `SigmaProp`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/package.md"}}],["266",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval` folder provides essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol. These tools are used throughout the larger project to perform computations, comparisons, and evaluations involving data types such as `BigInteger`, `BigInt`, `ErgoTree`, and `SigmaDsl`.\n\nFor example, the `BigIntegerOps.scala` file provides traits and implicit objects for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values. These tools can be used in other parts of the project to perform computations and comparisons involving these types. The `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively.\n\nThe `CostingDataContext.scala` file provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. These implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods.\n\nThe `Evaluation.scala` file provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. These methods are used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl.\n\nThe `Exceptions.scala` file defines a custom exception class called \"InvalidType\" that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. This allows the calling code to handle the exception in a way that is appropriate for the specific use case.\n\nThe `Extensions.scala` file defines various extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures.\n\nFinally, the `Profiler.scala` file defines a simple profiler to measure the average execution times of ErgoTree operations. This profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times.\n\nOverall, the code in this folder plays a crucial role in the larger project by providing essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/summary.md"}}],["267",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala)\n\nThe code provided is a set of exception classes that are used in the Sigma programming language compiler. The Sigma programming language is used to write smart contracts on the Ergo blockchain. The purpose of these exception classes is to provide detailed error messages to the user when an error occurs during the compilation process. \n\nThe `CompilerException` class is the base class for all the other exception classes. It takes in a message, an optional `SourceContext` object, and an optional `Throwable` object. The `SourceContext` object is used to provide information about the location of the error in the source code. The `getMessage` method is overridden to provide a more detailed error message that includes the line number and column where the error occurred.\n\nThe `BinderException`, `TyperException`, `BuilderException`, and `CosterException` classes are all subclasses of `CompilerException`. They are used to represent specific types of errors that can occur during the compilation process. The `BinderException` class is used to represent errors that occur during the binding phase of compilation. The `TyperException` class is used to represent errors that occur during the type checking phase of compilation. The `BuilderException` class is used to represent errors that occur during the construction phase of compilation. The `CosterException` class is used to represent errors that occur during the cost estimation phase of compilation.\n\nOverall, these exception classes are an important part of the Sigma programming language compiler. They provide detailed error messages to the user, which can help them identify and fix errors in their code. Here is an example of how these exception classes might be used in the larger project:\n\n```\ntry {\n // code that compiles Sigma smart contract\n} catch {\n case e: BinderException => println(\"Error during binding phase: \" + e.getMessage)\n case e: TyperException => println(\"Error during type checking phase: \" + e.getMessage)\n case e: BuilderException => println(\"Error during construction phase: \" + e.getMessage)\n case e: CosterException => println(\"Error during cost estimation phase: \" + e.getMessage)\n case e: CompilerException => println(\"Error during compilation: \" + e.getMessage)\n}\n```\n\nIn this example, the code that compiles the Sigma smart contract is wrapped in a try-catch block. If an exception is thrown during the compilation process, the appropriate exception class is caught and a detailed error message is printed to the console.\n## Questions: \n 1. What is the purpose of the `CompilerException` class?\n \n The `CompilerException` class is a custom exception class that extends `SigmaException` and is used to handle exceptions that occur during the compilation process of the Sigma programming language. It takes a message, an optional source context, and an optional cause as parameters.\n\n2. What are the differences between the `BinderException`, `TyperException`, and `BuilderException` classes?\n\n The `BinderException`, `TyperException`, and `BuilderException` classes are all custom exception classes that extend `CompilerException`. They are used to handle exceptions that occur during the binding, typing, and building phases of the compilation process, respectively. Each class takes a message and an optional source context as parameters.\n\n3. What is the purpose of the `CosterException` class?\n\n The `CosterException` class is a custom exception class that extends `CompilerException` and is used to handle exceptions that occur during the cost estimation phase of the compilation process. It takes a message, an optional source context, and an optional cause as parameters.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.md"}}],["268",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala)\n\nThe code above defines a class called `ConstraintFailed` that extends the `BuilderException` class. The purpose of this class is to represent an exception that occurs when a constraint is not satisfied in the context of the Sigma state language. \n\nThe `ConstraintFailed` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThis class is part of the `sigmastate.exceptions` package, which is likely used throughout the larger project to handle exceptions related to the Sigma state language. \n\nHere is an example of how this class might be used in the larger project:\n\n```scala\nimport sigmastate.exceptions.ConstraintFailed\nimport sigmastate.lang.SourceContext\n\ndef checkConstraint(value: Int): Unit = {\n if (value < 0) {\n throw new ConstraintFailed(\"Value must be greater than or equal to 0\", Some(SourceContext.current()))\n }\n}\n\ntry {\n checkConstraint(-1)\n} catch {\n case e: ConstraintFailed => println(e.getMessage)\n}\n```\n\nIn this example, the `checkConstraint` function checks if a given value is greater than or equal to 0. If the value is less than 0, a `ConstraintFailed` exception is thrown with an appropriate error message and source context. The exception is then caught and the error message is printed to the console. \n\nOverall, the `ConstraintFailed` class is an important part of the larger project's error handling system for the Sigma state language. It allows developers to easily handle exceptions related to constraints not being satisfied.\n## Questions: \n 1. What is the purpose of the `ConstraintFailed` class?\n \n The `ConstraintFailed` class is a final class that extends the `BuilderException` class and is used to represent an exception that occurs when a constraint fails.\n\n2. What is the significance of the `source` parameter in the `ConstraintFailed` constructor?\n \n The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes.\n\n3. What is the relationship between the `ConstraintFailed` class and the `sigmastate.exceptions` package?\n \n The `ConstraintFailed` class is defined within the `sigmastate.exceptions` package, which suggests that it is part of a larger set of exception classes that are specific to the `sigmastate` module.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.md"}}],["269",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala)\n\nThe code above defines a class called `InvalidArguments` that extends the `BinderException` class. This class is located in the `sigmastate.exceptions` package. The purpose of this class is to represent an exception that occurs when invalid arguments are passed to a function or method. \n\nThe `InvalidArguments` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThe `InvalidArguments` class is marked as `final`, which means that it cannot be extended by any other class. This is likely done to ensure that the behavior of the exception is consistent across the entire project. \n\nThis class can be used in the larger project to handle exceptions that occur when invalid arguments are passed to functions or methods. For example, if a function expects an integer as an argument, but a string is passed instead, the `InvalidArguments` exception can be thrown with an appropriate error message. \n\nHere is an example of how this class can be used:\n\n```scala\ndef divide(a: Int, b: Int): Int = {\n if (b == 0) {\n throw new InvalidArguments(\"Cannot divide by zero\")\n }\n a / b\n}\n```\n\nIn the example above, the `divide` function checks if the `b` parameter is zero. If it is, the `InvalidArguments` exception is thrown with the error message \"Cannot divide by zero\". This ensures that the function does not attempt to divide by zero, which would result in a runtime error. \n\nOverall, the `InvalidArguments` class is an important part of the project's error handling mechanism. It allows developers to handle exceptions related to invalid arguments in a consistent and predictable way.\n## Questions: \n 1. What is the purpose of the `InvalidArguments` class?\n \n The `InvalidArguments` class is a custom exception class that extends the `BinderException` class. It is used to handle errors related to invalid arguments passed to a function or method.\n\n2. What is the significance of the `SourceContext` parameter in the constructor of `InvalidArguments`?\n\n The `SourceContext` parameter is an optional parameter that can be used to provide additional context information about where the exception occurred in the source code. This can be useful for debugging purposes.\n\n3. What other exceptions does the `sigmastate.exceptions` package contain?\n\n Without further information, it is impossible to determine what other exceptions the `sigmastate.exceptions` package contains. However, it is likely that it contains other custom exception classes that are used to handle specific types of errors in the `sigmastate` library.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.md"}}],["270",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala)\n\nThe code above defines several exception classes that are used in the larger project. These exceptions are used to handle errors that may occur during the execution of the project. \n\nThe `SigmaException` class is the base class for all the exceptions defined in this file. It takes in a message and an optional cause, which is a Throwable object that caused the exception. This class extends the built-in `Exception` class in Scala.\n\nThe `SerializerException` class is a subclass of `SigmaException` and is used to handle errors that occur during serialization. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `InterpreterException` class is another subclass of `SigmaException` and is used to handle errors that occur during interpretation. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `CostLimitException` class is also a subclass of `SigmaException` and is used to handle errors that occur when the estimated cost of executing a program exceeds a certain limit. It takes in an estimated cost, a message, and an optional cause. The estimated cost is a long value that represents the estimated cost of executing a program, while the message is a string that describes the error. \n\nThe `CostLimitException` class also defines a companion object that contains a single method called `msgCostLimitError`. This method takes in two `JitCost` objects, `cost` and `limit`, and returns a string that describes the error. This method is used to generate error messages when a `CostLimitException` is thrown.\n\nOverall, this code provides a set of exception classes that can be used to handle errors that may occur during the execution of the larger project. These exceptions can be thrown when an error occurs, and the appropriate error message can be generated using the methods provided by these classes. For example, if the estimated cost of executing a program exceeds a certain limit, a `CostLimitException` can be thrown with an appropriate error message generated using the `msgCostLimitError` method.\n## Questions: \n 1. What is the purpose of the `SigmaException` class and its subclasses?\n- The `SigmaException` class and its subclasses (`SerializerException`, `InterpreterException`, and `CostLimitException`) are used to represent different types of exceptions that can occur in the `sigmastate` package.\n\n2. What is the `CostLimitException` class used for?\n- The `CostLimitException` class is used to represent an exception that occurs when the estimated execution cost of a program exceeds a specified limit.\n\n3. What is the `msgCostLimitError` method in the `CostLimitException` object used for?\n- The `msgCostLimitError` method in the `CostLimitException` object is used to generate an error message for a `CostLimitException` instance, given the estimated cost and the limit.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.md"}}],["271",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala)\n\nThis code defines four custom exception classes that are used in the larger project. These exceptions are used to handle specific error scenarios that may occur during serialization and deserialization of data. \n\nThe first exception, `InvalidTypePrefix`, is thrown by the `TypeSerializer` class when the type prefix is less than or equal to zero. This exception is used to handle cases where the type prefix is invalid, which can occur when the serialized data is corrupted or malformed. \n\nThe second exception, `ReaderPositionLimitExceeded`, is thrown when the current reader position is greater than the position limit set in the `Reader` class. This exception is used to handle cases where the serialized data is too large or exceeds the specified limit. \n\nThe third exception, `DeserializeCallDepthExceeded`, is thrown when the current depth level is greater than the maximum depth level set in the `Reader` class. This exception is used to handle cases where the serialized data contains too many nested structures, which can cause a stack overflow or other memory-related issues. \n\nThe fourth exception, `InvalidOpCode`, is thrown by the `ValidationRules.CheckValidOpCode` validation rule. This exception is used to handle cases where the serialized data contains an invalid opcode, which can occur when the data is corrupted or malformed. \n\nOverall, these custom exceptions are an important part of the larger project as they provide a way to handle specific error scenarios that may occur during serialization and deserialization of data. By using these exceptions, the project can ensure that errors are handled in a consistent and predictable manner, which can help to improve the overall reliability and stability of the system. \n\nExample usage of these exceptions in the project may look like this:\n\n```\ntry {\n // code that performs serialization or deserialization\n} catch {\n case e: InvalidTypePrefix => // handle invalid type prefix error\n case e: ReaderPositionLimitExceeded => // handle reader position limit exceeded error\n case e: DeserializeCallDepthExceeded => // handle deserialize call depth exceeded error\n case e: InvalidOpCode => // handle invalid opcode error\n case _ => // handle other errors\n}\n```\n## Questions: \n 1. What is the purpose of the `SerializerException` class?\n - The `SerializerException` class is the parent class for all the exceptions defined in this file and is used to handle exceptions related to serialization.\n\n2. What are the different types of exceptions defined in this file and when are they thrown?\n - The different types of exceptions defined in this file are `InvalidTypePrefix`, `ReaderPositionLimitExceeded`, `DeserializeCallDepthExceeded`, and `InvalidOpCode`. They are thrown when the type prefix is less than or equal to 0, the current reader position exceeds the position limit, the current depth level exceeds the maximum depth level, and the opcode is invalid respectively.\n\n3. What is the purpose of the `cause` parameter in the exception classes?\n - The `cause` parameter is an optional parameter that can be used to specify the underlying cause of the exception. It can be used to provide additional information about the exception to aid in debugging.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.md"}}],["272",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala)\n\nThis code defines four custom exception classes that are used in the larger project. These exceptions are used to handle errors related to invalid binary and unary operation parameters, method not found, and non-applicable method. \n\nThe `InvalidBinaryOperationParameters` and `InvalidUnaryOperationParameters` classes are used to handle errors that occur when the parameters passed to a binary or unary operation are invalid. These exceptions are thrown when the type of the parameters is not compatible with the operation being performed. For example, if the code tries to perform a binary operation on two values of different types, an `InvalidBinaryOperationParameters` exception will be thrown.\n\nThe `MethodNotFound` class is used to handle errors that occur when a method is not found. This exception is thrown when the code tries to call a method that does not exist. For example, if the code tries to call a method that has been misspelled or does not exist in the current context, a `MethodNotFound` exception will be thrown.\n\nThe `NonApplicableMethod` class is used to handle errors that occur when a method is not applicable. This exception is thrown when the code tries to call a method with parameters that are not compatible with the method's signature. For example, if the code tries to call a method that expects an integer parameter with a string parameter, a `NonApplicableMethod` exception will be thrown.\n\nOverall, these custom exception classes are an important part of the larger project as they help to handle errors that occur during the execution of the code. By defining these custom exceptions, the code can provide more detailed error messages to the user, making it easier to identify and fix issues. \n\nExample usage:\n\n```\ntry {\n // perform a binary operation with invalid parameters\n val result = 5 + \"hello\"\n} catch {\n case e: InvalidBinaryOperationParameters => println(e.getMessage)\n}\n\ntry {\n // call a non-existent method\n val result = someObject.nonExistentMethod()\n} catch {\n case e: MethodNotFound => println(e.getMessage)\n}\n\ntry {\n // call a method with non-applicable parameters\n val result = someObject.someMethod(\"hello\")\n} catch {\n case e: NonApplicableMethod => println(e.getMessage)\n}\n```\n## Questions: \n 1. What is the purpose of the `sigmastate.exceptions` package?\n- The `sigmastate.exceptions` package contains classes that define custom exceptions related to type checking in the Sigma programming language.\n\n2. What is the parent class of the `InvalidBinaryOperationParameters`, `InvalidUnaryOperationParameters`, `MethodNotFound`, and `NonApplicableMethod` classes?\n- The parent class of these classes is `TyperException`.\n\n3. What is the significance of the `source` parameter in the constructor of each of these classes?\n- The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.md"}}],["273",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions)\n\nThe `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions` folder contains exception classes that are used to handle errors in the Sigma programming language compiler, which is used for writing smart contracts on the Ergo blockchain. These exception classes provide detailed error messages to help users identify and fix errors in their code.\n\nFor example, the `CompilerExceptions.scala` file contains the base `CompilerException` class and its subclasses, which represent specific types of errors that can occur during the compilation process. These subclasses include `BinderException`, `TyperException`, `BuilderException`, and `CosterException`. They can be used in a try-catch block to catch and handle errors during different phases of the compilation process:\n\n```scala\ntry {\n // code that compiles Sigma smart contract\n} catch {\n case e: BinderException => println(\"Error during binding phase: \" + e.getMessage)\n case e: TyperException => println(\"Error during type checking phase: \" + e.getMessage)\n case e: BuilderException => println(\"Error during construction phase: \" + e.getMessage)\n case e: CosterException => println(\"Error during cost estimation phase: \" + e.getMessage)\n case e: CompilerException => println(\"Error during compilation: \" + e.getMessage)\n}\n```\n\nOther exception classes in this folder, such as `ConstraintFailed`, `InvalidArguments`, and the exceptions in `SigmaExceptions.scala`, handle specific error scenarios related to the Sigma state language, invalid arguments, and execution errors. These exceptions can be used in the larger project to handle errors in a consistent and predictable manner, improving the overall reliability and stability of the system.\n\nFor instance, the `InvalidArguments` exception can be used to handle cases where a function receives an invalid argument:\n\n```scala\ndef divide(a: Int, b: Int): Int = {\n if (b == 0) {\n throw new InvalidArguments(\"Cannot divide by zero\")\n }\n a / b\n}\n```\n\nIn summary, the exception classes in this folder play a crucial role in the error handling mechanism of the larger project. They help developers handle errors related to the Sigma programming language, invalid arguments, and execution issues in a consistent and predictable way, ultimately improving the overall reliability and stability of the system.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.md"}}],["274",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala)\n\nThe code defines two classes, `CostCounter` and `CostAccumulator`, which are used to track the cost of executing a program. \n\n`CostCounter` is a simple class that encapsulates a monotonic counter that can only be incremented. It has an initial cost value, which is set when the counter is created, and a current cost value, which is updated each time the counter is incremented. The `resetCost()` method can be used to reset the current cost value to the initial value.\n\n`CostAccumulator` is a more complex class that implements a finite state machine with a stack of graph blocks (scopes), which correspond to lambdas and thunks. It accepts messages: `startScope()`, `endScope()`, `add()`, and `reset()`. At any time, `totalCost` is the currently accumulated cost.\n\nThe `Scope` class represents a single scope during execution of the graph. When the evaluation enters a new scope (e.g. calling a lambda), a new `Scope` instance is created and pushed to the `_scopeStack`, then it starts receiving `add` method calls. When the evaluation leaves the scope, the top is popped off the stack. The `add` method is called once for each operation of a scope (lambda or thunk), and it updates the current cost of the current scope. If the current accumulated cost exceeds the `costLimit`, a `CostLimitException` is thrown.\n\nThe `reset()` method resets the accumulator into its initial state to be ready for new graph execution. The `totalCost` method returns the total accumulated cost.\n\nOverall, these classes are used to track the cost of executing a program and ensure that it does not exceed a certain limit. They can be used in the larger project to optimize the execution of the program and prevent it from consuming too many resources. For example, the `CostAccumulator` class could be used to optimize the execution of smart contracts on a blockchain by limiting their resource consumption.\n## Questions: \n 1. What is the purpose of the `CostCounter` class?\n- The `CostCounter` class encapsulates a simple monotonic counter with reset and is used to keep track of the current cost.\n\n2. What is the purpose of the `Scope` class?\n- The `Scope` class represents a single scope during execution of the graph and is used to accumulate costs for each operation of a scope.\n\n3. What is the purpose of the `CostAccumulator` class?\n- The `CostAccumulator` class implements a finite state machine with a stack of graph blocks (scopes) and is used to accumulate costs for each operation of a scope. It also checks if the accumulated cost exceeds the cost limit and throws a `CostLimitException` if it does.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.md"}}],["275",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala)\n\nThe code defines an abstract representation of cost results obtained during evaluation. It provides two concrete implementations of the abstract class `CostDetails`: `TracedCost` and `GivenCost`. The former is used to represent detailed results of cost evaluation, while the latter is used to represent the cost of Ahead-Of-Time (AOT) costing. \n\nThe `CostDetails` class has three methods: `cost`, `trace`, and `actualTimeNano`. The `cost` method returns the total cost of evaluation, which is a `JitCost` object. The `trace` method returns the trace of costed operations performed during evaluation, which is a sequence of `CostItem` objects. The `actualTimeNano` method returns the actual execution time (in nanoseconds) if defined. \n\nThe `TracedCost` class extends `CostDetails` and has two fields: `trace` and `actualTimeNano`. The `trace` field is the accumulated trace of all cost items obtained during execution of `ErgoTree` operations. The `actualTimeNano` field is the measured time of execution (if some). The `cost` method of `TracedCost` calculates the total cost of all cost items by iterating over the `trace` sequence and summing up the costs of each `CostItem`. \n\nThe `GivenCost` class also extends `CostDetails` and has one field: `cost`. The `cost` field is the given value of the total cost obtained from AOT costing. The `actualTimeNano` field is the measured time of execution (if some). The `trace` method of `GivenCost` returns an empty sequence of `CostItem` objects since there is no trace available for AOT costing. \n\nThe `CostDetails` object provides three methods: `EmptyTrace`, `ZeroCost`, and `apply`. The `EmptyTrace` method returns an empty sequence of `CostItem` objects and should be used whenever possible to avoid allocations. The `ZeroCost` method returns a `TracedCost` object with an empty trace and zero total cost. The `apply` method is a helper factory method to create `CostDetails` objects from the given trace. \n\nThe `unapply` method of `CostDetails` is a helper recognizer to work with different representations of costs in patterns uniformly. It takes a `CostDetails` object as input and returns an `Option` of a tuple containing the total cost and the trace of cost items. It matches the input object against `TracedCost` and `GivenCost` and returns the appropriate tuple based on the type of the input object. \n\nOverall, this code provides a way to represent and manipulate cost results obtained during evaluation in a flexible and extensible manner. It can be used in the larger project to optimize the performance of `ErgoTree` operations and reduce the computational cost of evaluating complex scripts. \n\nExample usage:\n\n```\nval trace = Seq(CostItem(op1, cost1), CostItem(op2, cost2), CostItem(op3, cost3))\nval costDetails = CostDetails(trace)\nval totalCost = costDetails.cost\nval traceItems = costDetails.trace\nval actualTime = costDetails.actualTimeNano.getOrElse(0L)\n```\n## Questions: \n 1. What is the purpose of the `CostDetails` class and its subclasses?\n- The `CostDetails` class and its subclasses are used to represent the results of cost evaluation during code execution, including the total cost, trace of costed operations, and actual execution time.\n\n2. What is the difference between `TracedCost` and `GivenCost`?\n- `TracedCost` represents the detailed results of cost evaluation obtained during execution of `ErgoTree` operations, while `GivenCost` represents the cost of AOT (ahead-of-time) costing using a given value.\n\n3. What is the purpose of the `unapply` method in the `CostDetails` object?\n- The `unapply` method is a helper recognizer that allows for working with different representations of costs in patterns uniformly, by matching against the `CostDetails` subclasses and returning a tuple of the total cost and trace of costed operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.md"}}],["276",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala)\n\nThis code defines several classes and objects that represent different types of cost items in the context of evaluating an ErgoTree, which is a data structure used in the Ergo blockchain. The purpose of these cost items is to track the cost of evaluating an ErgoTree, which is important for determining transaction fees and preventing denial-of-service attacks.\n\nThe `CostItem` abstract class defines the basic structure of a cost item, with two properties: `opName`, which is a string representing the name of the operation being performed, and `cost`, which is a `JitCost` object representing the cost of the operation.\n\nThe `FixedCostItem` class represents the cost of a simple operation that has a fixed cost, such as adding two numbers together. It takes an `OperationDesc` object and a `FixedCost` object as parameters, which describe the operation being performed and the cost of that operation, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the fixed cost.\n\nThe `TypeBasedCostItem` class represents the cost of an operation that depends on the type of the arguments being passed in, such as comparing two values of different types. It takes an `OperationDesc` object, a `TypeBasedCost` object, and an `SType` object as parameters, which describe the operation being performed, the cost of that operation based on the type of the arguments, and the concrete type on which the operation is being executed, respectively. The `opName` property is set to the name of the operation followed by the concrete type, and the `cost` property is set to the cost of the operation based on the concrete type.\n\nThe `SeqCostItem` class represents the cost of a sequence of operations, such as iterating over a collection of values. It takes an `OperationDesc` object, a `PerItemCost` object, and an integer representing the number of items in the sequence as parameters, which describe the operation being performed, the cost of that operation per item, and the number of items in the sequence, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the cost of the operation multiplied by the number of items in the sequence.\n\nThe `MethodCallCostItem` class represents the cost of a method call operation, which is a special type of operation that calls a method on an object. It takes a `CostDetails` object as a parameter, which contains the cost details obtained as part of the method call evaluation. The `opName` property is set to the name of the method call operation, and the `cost` property is set to the cost of the method call.\n\nOverall, these classes and objects provide a way to track the cost of evaluating an ErgoTree, which is important for ensuring the security and stability of the Ergo blockchain. They can be used for debugging, testing, and profiling of costing, and can be integrated into larger projects that involve ErgoTree evaluation. For example, a transaction validation system might use these cost items to determine the transaction fee and prevent denial-of-service attacks.\n## Questions: \n 1. What is the purpose of the `CostItem` class and its subclasses?\n- The `CostItem` class and its subclasses represent items in the cost accumulation trace of an `ErgoTree` evaluation, used for debugging, testing, and profiling of costing.\n\n2. What is the difference between `FixedCostItem` and `TypeBasedCostItem`?\n- `FixedCostItem` represents the cost of a simple operation, while `TypeBasedCostItem` represents the cost of an operation that depends on type (e.g. type of arguments).\n\n3. What is the purpose of the `SeqCostItem` class and its `chunks` method?\n- The `SeqCostItem` class represents the cost of a sequence of operations, and the `chunks` method returns the number of data chunks in this cost item.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.md"}}],["277",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala)\n\nThe `ErgoTreeEvaluator` class in this code is a simple and fast direct-style interpreter for ErgoTrees. ErgoTree is a declarative intermediate representation for Ergo contracts, designed to be compact in serialized form and directly executable. The interpreter works directly with ErgoTree's higher-order abstract syntax (HOAS) and follows its denotational semantics.\n\nThe main method of the `ErgoTreeEvaluator` class is `eval`, which evaluates a given expression in a given data environment. The class also provides methods for evaluating expressions with cost, such as `evalWithCost`, which returns the value of the expression and the total accumulated cost in the coster.\n\nThe `EvalSettings` case class contains configuration parameters for the evaluation run, such as flags for measuring operation time, enabling debug mode, logging, cost tracing, and specifying evaluation mode. The `EvaluationMode` object defines two evaluation modes: `AotEvaluationMode` for executing using AOT costing implementation of v4.x protocol, and `JitEvaluationMode` for executing using JIT costing implementation of v5.x protocol.\n\nThe `ErgoTreeEvaluator` class also provides methods for adding costs to the coster, such as `addCost`, `addTypeBasedCost`, `addFixedCost`, and `addSeqCost`. These methods are used to accumulate costs during the evaluation of expressions, and can be associated with operation descriptors for tracing and profiling purposes.\n\nExample usage of the `ErgoTreeEvaluator` class would involve creating an instance with the desired context, constants, cost accumulator, profiler, and settings, and then using the `eval` method to evaluate an ErgoTree expression in a given data environment.\n\n```scala\nval context: ErgoLikeContext = ...\nval constants: Seq[Constant[SType]] = ...\nval costAccumulator = new CostAccumulator(...)\nval profiler = new Profiler\nval settings = EvalSettings(...)\n\nval evaluator = new ErgoTreeEvaluator(context, constants, costAccumulator, profiler, settings)\nval env: DataEnv = ...\nval exp: SValue = ...\n\nval result: Any = evaluator.eval(env, exp)\n```\n## Questions: \n 1. **What is the purpose of the `ErgoTreeEvaluator` class?**\n\n The `ErgoTreeEvaluator` class is an interpreter for ErgoTrees, which are a simple declarative intermediate representation for Ergo contracts. It is designed to be compact in serialized form and directly executable. The evaluator follows the denotational semantics of ErgoTree and is purely functional with immutable data structures.\n\n2. **How does the `ErgoTreeEvaluator` handle costs and profiling?**\n\n The `ErgoTreeEvaluator` uses a `CostAccumulator` to accumulate computation costs during evaluation. It also supports cost tracing and operation time measurement through the `Profiler` class if enabled in the `EvalSettings`. Various methods like `addFixedCost`, `addTypeBasedCost`, and `addSeqCost` are used to add costs associated with different operations.\n\n3. **What are the different evaluation modes available in `EvalSettings`?**\n\n The `EvalSettings` class has an `evaluationMode` field, which can be set to either `AotEvaluationMode` (AOT costing implementation of v4.x protocol) or `JitEvaluationMode` (JIT costing implementation of v5.x protocol). The default value is `None`, which means the version is defined by `ErgoTree.version` and `Context.activatedScriptVersion`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.md"}}],["278",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala)\n\nThe `Hint` trait and its subclasses define a set of hints that can be used by a prover to prove a statement. The `SecretProven` abstract class extends the `Hint` trait and defines a hint that indicates that a secret associated with its public image is already proven. The `RealSecretProof` and `SimulatedSecretProof` case classes extend the `SecretProven` class and define hints that contain a proof-of-knowledge for a secret associated with its public image, with the mark that the proof is real or simulated. \n\nThe `CommitmentHint` abstract class extends the `Hint` trait and defines a family of hints that are about a correspondence between a public image of a secret image and prover's commitment to randomness. The `OwnCommitment`, `RealCommitment`, and `SimulatedCommitment` case classes extend the `CommitmentHint` class and define hints that contain a commitment to randomness associated with a public image of a secret, with or without randomness itself.\n\nThe `HintsBag` case class defines a collection of hints to be used by a prover. It contains a sequence of hints and provides methods to add hints to the bag, concatenate bags, and extract specific types of hints from the bag. The `empty` object is a pre-defined empty `HintsBag`.\n\nThis code can be used in the larger project to facilitate the proving process of statements that involve secrets and commitments to randomness. The hints can be generated by the prover or obtained from other sources, and then added to the `HintsBag`. The bag can be passed to the proving function, which can use the hints to construct a proof. The hints can also be used to verify a proof by checking the correspondence between the public images and the commitments. \n\nFor example, a prover can use the `RealSecretProof` hint to prove that they know a secret associated with a public image, and the verifier can use the `RealCommitment` hint to verify that the commitment used in the proof corresponds to the public image. The `OwnCommitment` hint can be used to prove that the prover has a commitment to randomness that is used in the proof, and the verifier can use the `SimulatedCommitment` hint to simulate the commitment and check its validity.\n## Questions: \n 1. What is the purpose of the `Hint` trait and its subclasses?\n- The `Hint` trait and its subclasses provide hints to a prover to help them prove a statement, such as indicating that a secret associated with a public image is already proven or providing a commitment to randomness.\n\n2. What is the difference between `RealSecretProof` and `SimulatedSecretProof`?\n- Both `RealSecretProof` and `SimulatedSecretProof` contain a proof-of-knowledge for a secret associated with a public image, but `RealSecretProof` also marks the proof as real, while `SimulatedSecretProof` does not.\n\n3. What is the purpose of the `HintsBag` class and its methods?\n- The `HintsBag` class is a collection of hints to be used by a prover. Its methods allow for adding hints to the bag, combining bags, and extracting specific types of hints from the bag.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.md"}}],["279",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala)\n\nThe `Interpreter` trait in the given code is a base verifying interpreter for ErgoTrees. It is responsible for evaluating ErgoTree expressions in a given context and verifying them. The interpreter supports two alternative implementations: the old implementation from v4.x based on AOT (Ahead-Of-Time) costing, and the new implementation added in v5.0 based on JIT (Just-In-Time) costing. Both implementations are equivalent in v5.0 but have different performance, resulting in different cost estimations.\n\nThe interpreter provides methods for ErgoTree evaluation (reduction) to a sigma proposition (SigmaBoolean) in a given context, and for verification of ErgoTree in a given context. It also handles soft-fork conditions and deserialization of context variables.\n\nHere's an example of how the interpreter is used in the larger project:\n\n```scala\nval interpreter = new Interpreter()\nval ergoTree: ErgoTree = ...\nval context: CTX = ...\nval env: ScriptEnv = ...\nval reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env)\n```\n\nThe `fullReduction` method takes an ErgoTree, a context, and an environment, and returns a `ReductionResult` containing the reduced SigmaBoolean value and the estimated cost of the contract execution.\n\nThe `verify` method is used to execute a script in a given context and verify its result:\n\n```scala\nval proof: Array[Byte] = ...\nval message: Array[Byte] = ...\nval verificationResult: Try[VerificationResult] = interpreter.verify(env, ergoTree, context, proof, message)\n```\n\nThe `verify` method returns a `Try[VerificationResult]`, which contains a boolean indicating whether the script executed successfully and the estimated cost of the script execution.\n## Questions: \n 1. **Question**: What is the purpose of the `deserializeMeasured` method and why is it using `ValueSerializer` instead of `ErgoTreeSerializer`?\n \n **Answer**: The `deserializeMeasured` method is used to deserialize the given script bytes using `ValueSerializer` while also measuring the tree complexity and updating the context's initial cost. It uses `ValueSerializer` because, although ErgoTree is always of type SigmaProp, `ValueSerializer` can serialize expressions of any type, making it more versatile in this case.\n\n2. **Question**: How does the `checkSoftForkCondition` method handle soft-fork conditions in the interpreter?\n\n **Answer**: The `checkSoftForkCondition` method checks if the activated script version is higher than the maximum supported script version or if the ErgoTree version is higher than the activated script version. If a soft-fork condition is detected, it returns a `VerificationResult` with a true value and the initial cost. If no soft-fork condition is detected, it proceeds with the normal execution.\n\n3. **Question**: What is the purpose of the `estimateCryptoVerifyCost` method and how does it work?\n\n **Answer**: The `estimateCryptoVerifyCost` method computes the estimated cost of verification of a given sigma proposition without actually performing expensive crypto operations. It does this by recursively computing the total cost of the given children in the proposition tree and summing up the costs for each type of node (e.g., ProveDlog, ProveDHTuple, CAND, COR, CTHRESHOLD).","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.md"}}],["280",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala)\n\nThe code defines the ContextExtension and InterpreterContext classes, which are used to manage user-defined variables and context data in the ErgoScript interpreter. \n\nThe ContextExtension class represents a container for key-value pairs, where each key is identified by a Byte and can be accessed from a script using the getVar[T](id) operation. The value of the variable is represented by a Constant instance, which contains both data value and SType descriptor. The descriptor is checked against the type T expected in the script operation. If the types don't match, an exception is thrown and the box spending (protected by the script) fails. The class provides an add method to add new bindings to the internal container.\n\nThe InterpreterContext trait is a base class for the context passed to verifier and prover. It defines several properties, including extension, validationSettings, costLimit, initCost, and activatedScriptVersion. The extension property is an instance of the ContextExtension class, which represents prover-defined key-value pairs that may be used inside a script. The validationSettings property is used to detect soft-fork conditions. The costLimit property is a hard limit on accumulated execution cost, and the initCost property is the initial value of execution cost already accumulated before Interpreter.verify (or prove) is called. The activatedScriptVersion property defines the maximum version of ErgoTree currently activated on the network. \n\nThe InterpreterContext trait also defines several methods to create a new instance with updated properties, including withErgoTreeVersion, withCostLimit, withInitCost, withExtension, withBindings, and withValidationSettings. The toSigmaContext method creates a special.sigma.Context instance based on this context, which contains all data represented using types from the special.sigma package. These types are used internally by the ErgoTree interpreter. \n\nOverall, the code provides a flexible and extensible way to manage context data and user-defined variables in the ErgoScript interpreter. It can be used in the larger project to enable more complex and sophisticated smart contracts. \n\nExample usage:\n\n```\nval ext = ContextExtension(Map(1.toByte -> Constant(10, SInt)))\nval ctx = new InterpreterContext {\n val extension: ContextExtension = ext\n val validationSettings: SigmaValidationSettings = SigmaValidationSettings.empty\n val costLimit: Long = 1000\n val initCost: Long = 0\n def activatedScriptVersion: Byte = 0\n def withErgoTreeVersion(newVersion: Byte): InterpreterContext = ???\n def withCostLimit(newCostLimit: Long): InterpreterContext = ???\n def withInitCost(newCost: Long): InterpreterContext = ???\n def withExtension(newExtension: ContextExtension): InterpreterContext = ???\n def withValidationSettings(newVs: SigmaValidationSettings): InterpreterContext = ???\n def toSigmaContext(extensions: Map[Byte, AnyValue] = Map()): sigma.Context = ???\n}\n```\n## Questions: \n 1. What is the purpose of the `ContextExtension` class and how is it used in the script?\n- The `ContextExtension` class is used to store user-defined variables that can be accessed from a script using `getVar[T](id)` operation. The value of the variable is represented by a `Constant` instance, which contains both data value and `SType` descriptor. The descriptor is checked against the type `T` expected in the script operation.\n\n2. What is the purpose of the `InterpreterContext` trait and what are some of its key properties?\n- The `InterpreterContext` trait is the base class of the context passed to verifier and prover. Some of its key properties include `extension` which stores prover-defined key-value pairs that may be used inside a script, `validationSettings` which are validation parameters passed to `Interpreter.verify` to detect soft-fork conditions, `costLimit` which is a hard limit on accumulated execution cost, and `activatedScriptVersion` which is the maximum version of ErgoTree currently activated on the network.\n\n3. What is the purpose of the `toSigmaContext` method and what does it do?\n- The `toSigmaContext` method creates a `special.sigma.Context` instance based on the current context. The created instance contains all data represented using types from the `special.sigma` package, which are used internally by ErgoTree interpreter. This method performs transformation from Ergo to internal Sigma representation of all context data. It can also take additional context variables which will be merged with those in the `extension` of the current instance, overriding existing bindings in case variable ids overlap.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.md"}}],["281",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala)\n\nThe code defines a set of classes and traits that describe the cost of operations in the Ergo blockchain. The `OperationDesc` trait is an abstract class that defines the `operationName` method, which returns the name of the operation. There are three concrete classes that extend `OperationDesc`: `CompanionDesc`, `MethodDesc`, and `NamedDesc`. \n\n`CompanionDesc` is a case class that takes a `ValueCompanion` as a parameter and returns the `typeName` of the companion object as the `operationName`. `ValueCompanion` is a trait that defines methods for creating and parsing values of a specific type. \n\n`MethodDesc` is a case class that takes an `SMethod` as a parameter and returns the `opName` of the method as the `operationName`. `SMethod` is a class that represents an operation as a method. \n\n`NamedDesc` is a case class that takes a `String` as a parameter and returns the same `String` as the `operationName`. This is used for intermediate sub-operations that are present in the cost model but are not separate operations in the ErgoTree.\n\n`OperationCostInfo` is a case class that combines a `CostKind` and an `OperationDesc`. `CostKind` is a trait that defines the cost of an operation. \n\nOverall, this code provides a way to describe the cost of operations in the Ergo blockchain. It can be used in the larger project to optimize the execution of transactions by estimating the cost of each operation and minimizing the total cost. For example, a developer could use the `MethodDesc` class to estimate the cost of a specific method and optimize the code accordingly. \n\nExample usage:\n\n```\nval method = SMethod(\"add\", Seq(IntConstant(1), IntConstant(2)))\nval methodDesc = MethodDesc(method)\nval costInfo = OperationCostInfo(ComputationalCost, methodDesc)\n```\n## Questions: \n 1. What is the purpose of the `OperationDesc` abstract class?\n \n `OperationDesc` is an abstract class that defines the common interface for operation descriptors. It provides a method `operationName` that returns the name of the operation.\n\n2. What are the different ways in which a costable operation can be described?\n \n A costable operation can be described in one of the following ways: (1) using `ValueCompanion`, (2) using `SMethod`, or (3) using a string name.\n\n3. What is the purpose of the `OperationCostInfo` case class?\n \n `OperationCostInfo` is a case class that combines an operation descriptor (`opDesc`) with a cost kind (`costKind`). It is used to represent the cost information for a costable operation.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.md"}}],["282",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala)\n\nThe `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain.\n\nThe main methods provided by this trait are:\n\n- `generateCommitments`: Generates commitments for a given ErgoTree or SigmaBoolean using the prover's secrets.\n- `prove`: Generates a proof for a given ErgoTree, context, and message, using the prover's secrets and optional hints.\n- `signMessage`: Signs an arbitrary message under a key representing a statement provable via a sigma-protocol.\n\nThe `ProverInterpreter` trait also defines several helper methods and strategies for generating proofs, such as `markReal`, `polishSimulated`, `simulateAndCommit`, and `proving`. These methods are used in the main `prove` method to perform various steps of the proving process, such as marking nodes as real or simulated, generating challenges for simulated nodes, and computing commitments and responses for real nodes.\n\nHere's an example of how the `ProverInterpreter` trait might be used in a larger project:\n\n```scala\nval prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter\nval ergoTree = ... // An ErgoTree script to prove\nval context = ... // A context for the script\nval message = ... // A message to sign\n\nval result = prover.prove(ergoTree, context, message) match {\n case Success(proof) => // Use the proof for validation or other purposes\n case Failure(e) => // Handle the error\n}\n```\n\nIn this example, a custom implementation of `ProverInterpreter` called `MyProverInterpreter` is used to generate a proof for a given ErgoTree script, context, and message. The resulting proof can then be used for validation or other purposes.\n## Questions: \n 1. **Question**: What is the purpose of the `ProverInterpreter` trait?\n **Answer**: The `ProverInterpreter` trait is an interpreter with enhanced functionality to prove statements. It is responsible for generating commitments, proving statements, and signing messages under a key representing a statement provable via a sigma-protocol.\n\n2. **Question**: How does the `prove` method work in the `ProverInterpreter` trait?\n **Answer**: The `prove` method takes an ErgoTree, a context, a message, and a hints bag as input. It performs a series of steps to reduce the ErgoTree to a crypto-tree, generate commitments, simulate and commit, and compute challenges and responses for real and simulated nodes. Finally, it outputs a `CostedProverResult` containing the proof, context extension, and cost.\n\n3. **Question**: What is the role of the `HintsBag` in the `ProverInterpreter` trait?\n **Answer**: The `HintsBag` is used to store additional hints for a signer, which can be useful for distributed signing. It contains real images, commitments, and proofs that can be used during the proving process to help generate the final proof more efficiently or securely.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.md"}}],["283",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala)\n\nThe code defines two classes, `ProverResult` and `CostedProverResult`, and an object `ProverResult` with a serializer. These classes are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. \n\nThe `ProverResult` class takes two parameters: `proof`, which is an array of bytes representing the proof that satisfies the final Sigma proposition, and `extension`, which is a user-defined variable to be put into context. The `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter, which represents the cost of the proof. \n\nThe `ProverResult` class overrides the `hashCode`, `equals`, and `toString` methods. The `hashCode` method calculates the hash code of the `proof` and `extension` parameters using the `util.Arrays.hashCode` method. The `equals` method checks if the object being compared is the same as `this` or if it is an instance of `ProverResult` with the same `proof` and `extension` parameters. The `toString` method returns a string representation of the `ProverResult` object, including the `proof` and `extension` parameters encoded in Base16.\n\nThe `ProverResult` object provides an `empty` method that returns an empty `ProverResult` object with an empty `proof` and `extension`. It also provides a `serializer` object that extends the `SigmaSerializer` trait. The `serializer` object provides methods to serialize and parse `ProverResult` objects. The `serialize` method writes the `proof` parameter to the `SigmaByteWriter` object `w` along with its length and then calls the `serialize` method of the `ContextExtension` object `extension`. The `parse` method reads the `proof` parameter from the `SigmaByteReader` object `r` along with its length and then calls the `parse` method of the `ContextExtension` object `extension`.\n\nThe `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter. It takes the same parameters as `ProverResult` and calls the constructor of `ProverResult` with the `proof` and `extension` parameters. It then adds a `cost` parameter to the resulting object. \n\nOverall, these classes and object are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. The `ProverResult` class represents a basic result, while the `CostedProverResult` class adds a cost parameter to the result. The `ProverResult` object provides methods to serialize and parse `ProverResult` objects.\n## Questions: \n 1. What is the purpose of the `ProverResult` class?\n- The `ProverResult` class represents the proof of correctness of transaction spending and contains a proof that satisfies the final sigma proposition and user-defined variables to be put into context.\n\n2. What is the `ProverResult.serializer` object used for?\n- The `ProverResult.serializer` object is used to serialize and deserialize `ProverResult` objects.\n\n3. What is the `CostedProverResult` case class and how does it differ from `ProverResult`?\n- The `CostedProverResult` case class extends `ProverResult` and adds a `cost` field to represent the cost of the proof.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.md"}}],["284",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala)\n\nThe `ProverUtils` trait is a collection of utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. The trait extends the `Interpreter` trait, which provides methods for evaluating ErgoScript expressions.\n\nThe `generateCommitmentsFor` method takes an `ErgoTree` and a `CTX` (context) and generates commitments for all the public keys provided. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates commitments for the public keys using the `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys. Currently, only keys in the form of `ProveDlog` and `ProveDiffieHellman` are supported, not more complex subtrees.\n\nThe `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys generates commitments (private, containing secret randomness, and public, containing only commitments) for all the public keys provided. The method traverses the sigma-tree and generates commitments for the public keys that match the keys in the `generateFor` sequence. The method uses the `DLogInteractiveProver` and `DiffieHellmanTupleInteractiveProver` classes to generate commitments for `ProveDlog` and `ProveDHTuple` public keys, respectively.\n\nThe `bagForMultisig` method extracts partial proofs of secret knowledge for particular secrets with their respective public images given. The method takes a `CTX`, an `ErgoTree`, a signature for the key, and sequences of `SigmaBoolean` public keys for real and simulated proofs. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates a proof tree using the `computeCommitments` method and the `SigSerializer` class. Finally, the method traverses the proof tree and extracts partial proofs of secret knowledge for the public keys that match the keys in the `realSecretsToExtract` and `simulatedSecretsToExtract` sequences. The method uses the `RealCommitment`, `RealSecretProof`, `SimulatedCommitment`, and `SimulatedSecretProof` classes to generate the partial proofs.\n\nOverall, the `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. These methods are used in the larger project to enable secure and efficient multi-party signing of transactions on the Ergo blockchain.\n## Questions: \n 1. What is the purpose of the `ProverUtils` trait?\n- The `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for distributed signature applications.\n\n2. What types of public keys are currently supported by the `generateCommitmentsFor` method?\n- The `generateCommitmentsFor` method currently supports keys in the form of `ProveDlog` and `ProveDiffieHellman`, but not more complex subtrees.\n\n3. What is the input and output of the `bagForMultisig` method?\n- The `bagForMultisig` method takes in a context, a proposition to reduce, a proof for the reduced proposition, and public keys of secrets with real and simulated proofs. It returns a bag of `OtherSecretProven` and `OtherCommitment` hints.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.md"}}],["285",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter)\n\nThe code in this folder is primarily focused on the interpretation and evaluation of ErgoTree expressions, which are used in the Ergo blockchain for smart contracts. The code provides various classes and traits for tracking the cost of executing a program, representing cost results, managing context data, and generating proofs for ErgoTree scripts.\n\nFor example, the `CostAccumulator` class is used to track the cost of executing a program and ensure that it does not exceed a certain limit. This can be useful in optimizing the execution of smart contracts on a blockchain by limiting their resource consumption.\n\nThe `CostDetails` class and its subclasses provide an abstract representation of cost results obtained during evaluation, allowing for flexible and extensible manipulation of cost results. This can be used to optimize the performance of ErgoTree operations and reduce the computational cost of evaluating complex scripts.\n\nThe `Interpreter` trait serves as a base verifying interpreter for ErgoTrees, responsible for evaluating ErgoTree expressions in a given context and verifying them. It supports two alternative implementations: the old implementation based on AOT (Ahead-Of-Time) costing, and the new implementation based on JIT (Just-In-Time) costing.\n\nThe `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain.\n\nHere's an example of how the `Interpreter` and `ProverInterpreter` traits might be used in a larger project:\n\n```scala\nval interpreter = new Interpreter()\nval ergoTree: ErgoTree = ...\nval context: CTX = ...\nval env: ScriptEnv = ...\nval reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env)\n\nval prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter\nval message = ... // A message to sign\nval result = prover.prove(ergoTree, context, message) match {\n case Success(proof) => // Use the proof for validation or other purposes\n case Failure(e) => // Handle the error\n}\n```\n\nIn this example, the `Interpreter` is used to evaluate an ErgoTree expression in a given context, while the `ProverInterpreter` is used to generate a proof for the same ErgoTree script. The resulting proof can then be used for validation or other purposes.\n\nOverall, the code in this folder plays a crucial role in the larger project by providing the necessary tools and functionality for interpreting, evaluating, and proving ErgoTree expressions, which are essential for the execution of smart contracts on the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.md"}}],["286",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala)\n\nThis code is part of the SigmaState language implementation and provides a set of predefined functions that can be used in ErgoScript, a language for writing smart contracts on the Ergo platform. These functions are organized into global, infix, unary, and special functions, and are used to perform various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives.\n\nFor example, the `AllOfFunc` function checks if all elements in a collection are true, while the `Blake2b256Func` function calculates the Blake2b hash of a given input byte array. These predefined functions are organized in a `PredefinedFuncRegistry` class, which maps function names to their corresponding implementations and metadata.\n\nThe code also provides a way to create and manipulate ErgoTree nodes, which represent the structure of a smart contract. This is done through the `IrBuilderFunc` type, which is a partial function that takes an `SValue` and a sequence of `SValue`s as input and returns an `SValue`. The `PredefFuncInfo` case class holds the metadata for a predefined function, including its `IrBuilderFunc`.\n\nHere's an example of using a predefined function in ErgoScript:\n\n```\n{\n val conditions = Coll(\n OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 },\n HEIGHT > 5000\n )\n allOf(conditions)\n}\n```\n\nIn this example, the `allOf` function is used to check if all conditions in the `conditions` collection are true. If they are, the script evaluates to true, and the transaction is considered valid.\n## Questions: \n 1. **Question**: What is the purpose of the `SigmaPredef` object and its related classes and functions?\n **Answer**: The `SigmaPredef` object contains the definitions and metadata for predefined functions in the Sigma language. It provides a registry of global, infix, unary, and special functions, along with their corresponding IR builders, which are used to generate the intermediate representation of the code during compilation.\n\n2. **Question**: How are the predefined functions organized and categorized within the `SigmaPredef` object?\n **Answer**: Predefined functions are organized into several categories: global functions, infix functions, unary functions, and special functions. Each category is represented as a separate map within the `PredefinedFuncRegistry` class, and the functions are stored as instances of the `PredefinedFunc` case class.\n\n3. **Question**: How can a developer add a new predefined function to the `SigmaPredef` object?\n **Answer**: To add a new predefined function, a developer needs to create a new instance of the `PredefinedFunc` case class with the appropriate metadata, such as the function name, declaration, IR builder, and documentation. Then, the new function should be added to the corresponding map (global, infix, unary, or special) within the `PredefinedFuncRegistry` class.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.md"}}],["287",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala)\n\nThe code in this file defines a case class and an object that provide functionality for creating and manipulating source code contexts. A source code context is a representation of the location of a piece of code within a larger source file, including the line number, column number, and the text of the line itself.\n\nThe `SourceContext` case class defines a context object with three fields: `line`, `column`, and `sourceLine`. The `line` and `column` fields represent the location of the code within the source file, while the `sourceLine` field contains the text of the line of code.\n\nThe `SourceContext` object provides two methods for creating `SourceContext` objects. The first method, `fromParserIndex`, takes an index and an input string as arguments and returns a `SourceContext` object representing the location of the code at the given index within the input string. This method works by splitting the input string into lines, scanning through the lines to determine the start and end indices of each line, and then finding the line containing the given index. If the index is not found within any line, the method returns a `SourceContext` object representing the last character of the last line.\n\nThe second method, `fromParserFailure`, takes a `Failure` object as an argument and returns a `SourceContext` object representing the location of the code that caused the failure. This method simply calls `fromParserIndex` with the index and input string from the `Failure` object.\n\nOverall, this code provides a useful tool for working with source code contexts in a larger project. For example, it could be used by a compiler or interpreter to provide more detailed error messages that include the location of the error within the source file. Here is an example of how this code could be used:\n\n```\nval input = \"val x = 42\\nval y = x + 1\\nprintln(y)\"\nval index = 10\nval context = SourceContext.fromParserIndex(index, input)\nprintln(s\"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}\")\n```\n\nThis code would output: `Error at line 2, column 5: val y = x + 1`.\n## Questions: \n 1. What is the purpose of the `SourceContext` case class?\n- The `SourceContext` case class is used to store information about the location of a piece of code in the source file, including the line number, column number, and the source code on that line.\n\n2. What is the `fromParserIndex` method used for?\n- The `fromParserIndex` method is used to create a `SourceContext` object based on the index of a parsed piece of code and the input source file. It calculates the line and column numbers of the parsed code and returns a `SourceContext` object with that information.\n\n3. What is the `fromParserFailure` method used for?\n- The `fromParserFailure` method is used to create a `SourceContext` object based on a parsing failure. It takes in a `Failure` object and returns a `SourceContext` object with the line and column numbers of the failed code and the source code on that line.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.md"}}],["288",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala)\n\nThis code is part of the SigmaState language module and provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`.\n\nThe `Block` case class represents a block of value definitions, while `ZKProofBlock` represents an explicit Zero Knowledge scope in ErgoTree. The `Val` trait and its case class `ValNode` represent value definitions, and `Select` is a frontend node to select a field from an object. The `Ident` case class represents variable names parsed in the source code, and `Apply` represents the application of a function to given arguments.\n\nThe `Lambda` case class represents frontend implementation of lambdas, which should be transformed to `FuncValue`. The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree.\n\nThe code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types. These functions are used during the compilation and type checking of ErgoTree expressions.\n\nOverall, this code is essential for the proper functioning of the ErgoTree language, as it defines the structure and behavior of various nodes and provides utility functions for type manipulation.\n## Questions: \n 1. **What is the purpose of the `ZKProofBlock` case class?**\n\n The `ZKProofBlock` case class represents an explicit Zero Knowledge scope in ErgoTree. The compiler checks Zero Knowledge properties and issues error messages in case of violations. It is used when the user wants to ensure Zero Knowledge of a specific set of operations.\n\n2. **What is the role of the `Val` trait and its related case classes?**\n\n The `Val` trait represents a block of Val definitions in the frontend representation. It is used to form a program structure and is not part of ErgoTree. The related case classes, such as `ValNode`, provide implementations for the `Val` trait.\n\n3. **How does the `MethodCall` case class work in ErgoTree?**\n\n The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree. It ensures that all ErgoTree instances are monomorphic by construction. During evaluation, it invokes the method on the object with the given arguments and returns the result.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/Terms.md"}}],["289",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang` folder is part of the SigmaState language implementation, which is used for writing smart contracts on the Ergo platform using ErgoScript. The folder contains three main files: `SigmaPredef.scala`, `SourceContext.scala`, and `Terms.scala`.\n\n`SigmaPredef.scala` provides a set of predefined functions that can be used in ErgoScript for various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives. These functions are organized into global, infix, unary, and special functions and are stored in a `PredefinedFuncRegistry` class. Here's an example of using a predefined function in ErgoScript:\n\n```scala\n{\n val conditions = Coll(\n OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 },\n HEIGHT > 5000\n )\n allOf(conditions)\n}\n```\n\n`SourceContext.scala` defines a case class and an object for creating and manipulating source code contexts, which represent the location of a piece of code within a larger source file. This can be useful for providing more detailed error messages in a compiler or interpreter. Here's an example of how this code could be used:\n\n```scala\nval input = \"val x = 42\\nval y = x + 1\\nprintln(y)\"\nval index = 10\nval context = SourceContext.fromParserIndex(index, input)\nprintln(s\"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}\")\n```\n\n`Terms.scala` provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`. The code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types, which are used during the compilation and type checking of ErgoTree expressions.\n\nOverall, the code in this folder is essential for the proper functioning of the ErgoTree language and the Ergo platform, as it defines the structure and behavior of various nodes, provides utility functions for type manipulation, and offers predefined functions for common operations in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/summary.md"}}],["290",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing Apply operations. The Apply operation is used to apply a function to a sequence of arguments. The purpose of this code is to provide a way to convert Apply operations into a byte stream that can be transmitted over a network or stored in a file.\n\nThe ApplySerializer class is a subclass of ValueSerializer and takes a constructor argument called cons, which is a function that takes a Value of SType and an IndexedSeq of Values of SType and returns a Value of SType. The opDesc method returns the Apply operation, which is used to identify the operation during serialization and deserialization.\n\nThe serialize method takes an Apply object and a SigmaByteWriter object and writes the Apply object to the SigmaByteWriter object. The func and args fields of the Apply object are written to the SigmaByteWriter object using the putValue and putValues methods of the SigmaByteWriter object, respectively.\n\nThe parse method takes a SigmaByteReader object and reads an Apply object from the SigmaByteReader object. The func and args fields of the Apply object are read from the SigmaByteReader object using the getValue and getValues methods of the SigmaByteReader object, respectively. The cons function is then called with the func and args fields to create a new Value of SType.\n\nOverall, this code provides a way to serialize and deserialize Apply operations in the Sigmastate project. This functionality is important for transmitting and storing Apply operations in a compact and efficient manner. An example of using this code would be to serialize an Apply operation and transmit it over a network to be executed on a remote machine.\n## Questions: \n 1. What is the purpose of the ApplySerializer class?\n \n The ApplySerializer class is used to serialize and deserialize Apply objects, which represent function application in the Sigma programming language.\n\n2. What is the significance of the \"cons\" parameter in the ApplySerializer constructor?\n \n The \"cons\" parameter is a function that takes a Value[SType] and an IndexedSeq[Value[SType]] as arguments and returns a Value[SType]. It is used to construct an Apply object from a deserialized function and arguments.\n\n3. What is the role of the opDesc and funcInfo variables in the ApplySerializer class?\n \n The opDesc variable specifies that the ApplySerializer is associated with the Apply operation, while the funcInfo variable provides information about the function argument of an Apply object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.md"}}],["291",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.scala)\n\nThe `BlockValueSerializer` class is responsible for serializing and deserializing `BlockValue` objects in the Sigmastate project. A `BlockValue` is a value that represents a block of code in the Sigmastate language. It consists of a sequence of `BlockItem` objects and a result expression of type `SType`. The `BlockValueSerializer` takes a constructor function as a parameter that is used to create a new `BlockValue` object from the deserialized data.\n\nThe `serialize` method of the `BlockValueSerializer` writes the `BlockValue` object to a `SigmaByteWriter` object. It first writes the length of the `items` sequence as a variable-length quantity (VLQ) using the `putUInt` method of the `SigmaByteWriter`. It then iterates over the `items` sequence and writes each `BlockItem` object using the `putValue` method of the `SigmaByteWriter`. Finally, it writes the result expression using the `putValue` method.\n\nThe `parse` method of the `BlockValueSerializer` reads a `BlockValue` object from a `SigmaByteReader` object. It first reads the length of the `items` sequence as a VLQ using the `getUIntExact` method of the `SigmaByteReader`. If the length is zero, it returns a `BlockValue` object with an empty sequence of `BlockItem` objects. Otherwise, it allocates a new array of `BlockItem` objects using the `safeNewArray` method of the `sigmastate.util` package and reads each `BlockItem` object using the `getValue` method of the `SigmaByteReader`. Finally, it reads the result expression using the `getValue` method and calls the constructor function with the `items` sequence and the result expression as arguments to create a new `BlockValue` object.\n\nThis class is used in the larger Sigmastate project to serialize and deserialize `BlockValue` objects for storage and transmission. For example, it may be used to store a `BlockValue` object in a database or to transmit it over a network. Here is an example of how to use the `BlockValueSerializer` to serialize and deserialize a `BlockValue` object:\n\n```\nval items = IndexedSeq(BlockItem.Const(ConstantNode(1)), BlockItem.Const(ConstantNode(2)))\nval result = IntConstant(3)\nval blockValue = BlockValue(items, result)\n\nval serializer = BlockValueSerializer(BlockValue.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(blockValue, writer)\nval bytes = writer.toBytes\n\nval reader = SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader).asInstanceOf[BlockValue]\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a serializer for the BlockValue class in the Sigmastate library, which is used to represent a block of code in a smart contract.\n\n2. What other classes or packages does this code depend on?\n- This code depends on several other classes and packages from the Sigmastate library, including Values, utils, and util.safeNewArray.\n\n3. Are there any potential performance issues with this code?\n- There is a potential performance issue in the parse method, where a new array is allocated for each block item even if the block is empty. This could be optimized by checking for an empty block and avoiding the array allocation in that case.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.md"}}],["292",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing the BoolToSigmaProp operation. The BoolToSigmaProp operation is used to convert a boolean value into a SigmaProp value, which is a cryptographic primitive used in the Sigmastate language to represent public keys and signatures.\n\nThe code defines a case class called BoolToSigmaPropSerializer, which takes a constructor function as a parameter. This constructor function is used to create a SigmaPropValue object from a BoolValue object. The BoolToSigmaPropSerializer class extends the ValueSerializer trait, which is used to serialize and deserialize values in the Sigmastate language.\n\nThe serialize method of the BoolToSigmaPropSerializer class takes a BoolToSigmaProp object and a SigmaByteWriter object as parameters. It then calls the putValue method of the SigmaByteWriter object to serialize the value of the BoolToSigmaProp object. The conditionInfo field is used to specify the type of the value being serialized.\n\nThe parse method of the BoolToSigmaPropSerializer class takes a SigmaByteReader object as a parameter. It reads the serialized value from the SigmaByteReader object and converts it to a BoolValue object. It then calls the constructor function passed to the BoolToSigmaPropSerializer class to create a SigmaPropValue object from the BoolValue object.\n\nOverall, the BoolToSigmaPropSerializer class is an important part of the Sigmastate project as it allows for the serialization and deserialization of the BoolToSigmaProp operation. This operation is used extensively in the Sigmastate language to represent public keys and signatures, making the BoolToSigmaPropSerializer class a crucial component of the larger project.\n## Questions: \n 1. What is the purpose of the `BoolToSigmaPropSerializer` class?\n - The `BoolToSigmaPropSerializer` class is a serializer for the `BoolToSigmaProp` operation, which converts a boolean value to a sigma proposition value.\n\n2. What is the `opDesc` method used for?\n - The `opDesc` method is used to specify the operation description, which in this case is `BoolToSigmaProp`.\n\n3. What is the `parse` method doing?\n - The `parse` method is reading a boolean value from a `SigmaByteReader` and using the `cons` function to create a `SigmaPropValue` from it.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.md"}}],["293",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.scala)\n\nThe code above is a part of the SigmaState project and is located in the sigmastate.serialization package. The purpose of this code is to provide a serializer for case objects that extend the Value trait. \n\nThe CaseObjectSerialization class takes two parameters: the ValueCompanion object and the case object to be serialized. The ValueCompanion object is used to describe the case object and provide metadata about it. The case object is the actual object to be serialized. \n\nThe class extends the ValueSerializer trait, which provides methods for serializing and deserializing values. However, in this case, the serialize method is overridden to do nothing, as case objects do not need to be serialized. The parse method is also overridden to simply return the original case object, as it does not need to be deserialized. \n\nThis code can be used in the larger project to serialize and deserialize case objects that extend the Value trait. For example, if there is a case object representing a boolean value, it can be serialized using this code and then sent over a network or stored in a database. When it needs to be used again, it can be deserialized using this code. \n\nHere is an example of how this code can be used:\n\n```\nimport sigmastate.Values._\nimport sigmastate.serialization._\n\ncase object MyBoolean extends BoolConstant(false)\n\nval serializer = CaseObjectSerialization(BoolConstant, MyBoolean)\n\nval writer = new SigmaByteWriter()\nserializer.serialize(MyBoolean, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader)\n\nassert(deserialized == MyBoolean)\n```\n\nIn this example, a case object representing a boolean value is created and then serialized using the CaseObjectSerialization class. The resulting bytes can then be sent over a network or stored in a database. When the value is needed again, it can be deserialized using the same serializer. The deserialized value should be equal to the original value.\n## Questions: \n 1. What is the purpose of the `CaseObjectSerialization` class?\n - The `CaseObjectSerialization` class is a value serializer that serializes and deserializes a case object of type `V`.\n\n2. What is the significance of the `ValueCompanion` parameter in the `CaseObjectSerialization` constructor?\n - The `ValueCompanion` parameter is used to provide metadata about the case object being serialized, such as its op code and type.\n\n3. Why does the `serialize` method of `CaseObjectSerialization` do nothing?\n - The `serialize` method does nothing because case objects are already fully defined and do not need to be serialized. The `parse` method simply returns the original case object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.md"}}],["294",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.scala)\n\nThe `ConcreteCollectionBooleanConstantSerializer` class is a serializer for a specific type of collection in the `sigmastate` package called `ConcreteCollection`. This serializer is specifically designed to handle collections of `BooleanConstant` values, which are values that represent a constant `Boolean` value in the Sigma programming language. \n\nThe purpose of this serializer is to convert a `ConcreteCollection` of `BooleanConstant` values into a byte stream that can be transmitted or stored, and to convert that byte stream back into a `ConcreteCollection` of `BooleanConstant` values. This is useful in the larger project because it allows collections of `BooleanConstant` values to be transmitted or stored efficiently.\n\nThe `serialize` method takes a `ConcreteCollection` of `BooleanConstant` values and a `SigmaByteWriter` and writes the collection to the writer as a byte stream. The byte stream consists of two parts: the number of items in the collection, encoded as an unsigned short, and the items themselves, encoded as a sequence of bits. The bits are packed into a `Boolean` array and then written to the writer using the `putBits` method of the `SigmaByteWriter`.\n\nThe `parse` method takes a `SigmaByteReader` and reads a byte stream from it, converting it back into a `ConcreteCollection` of `BooleanConstant` values. The byte stream is assumed to be in the same format as the one produced by the `serialize` method. The method first reads the number of items in the collection as an unsigned short, and then reads the items themselves as a sequence of bits using the `getBits` method of the `SigmaByteReader`. The bits are then converted back into `BooleanConstant` values and stored in an `IndexedSeq`. Finally, the `cons` method is called with the `IndexedSeq` of `BooleanConstant` values and the `SBoolean` type to create a new `ConcreteCollection` of `BooleanConstant` values.\n\nOverall, the `ConcreteCollectionBooleanConstantSerializer` class provides a way to efficiently serialize and deserialize collections of `BooleanConstant` values in the Sigma programming language. This is useful in the larger project because it allows these collections to be transmitted or stored efficiently, which can improve the performance of the system as a whole.\n## Questions: \n 1. What is the purpose of the `ConcreteCollectionBooleanConstantSerializer` class?\n- The `ConcreteCollectionBooleanConstantSerializer` class is a value serializer for a concrete collection of boolean constants.\n\n2. What is the `opDesc` method used for?\n- The `opDesc` method is used to return the operation description of the serializer, which is `ConcreteCollectionBooleanConstant`.\n\n3. What is the purpose of the `parse` method?\n- The `parse` method is used to parse a byte stream and return a value of type `SCollection[SBoolean.type]` by converting a sequence of bits into a sequence of boolean constants.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.md"}}],["295",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.scala)\n\nThe `ConcreteCollectionSerializer` class is responsible for serializing and deserializing instances of the `ConcreteCollection` class. This is done by implementing the `ValueSerializer` trait and overriding its `serialize` and `parse` methods.\n\nThe `serialize` method takes a `ConcreteCollection` instance and a `SigmaByteWriter` instance as input, and writes the collection's size, element type, and each item to the writer. The `parse` method takes a `SigmaByteReader` instance as input, reads the collection's size and element type from the reader, reads each item from the reader, and constructs a new `ConcreteCollection` instance using the provided constructor function `cons`.\n\nThe `ConcreteCollection` class represents a collection of values of a specific type `SType`. It is a case class that takes an `IndexedSeq` of `Value[SType]` instances and an `SType` instance as input. The `ConcreteCollectionSerializer` class is used to serialize and deserialize instances of this class.\n\nThis code is part of the `sigmastate` project, which is a library for building and verifying cryptographic protocols using Sigma protocols. The `ConcreteCollectionSerializer` class is used in the serialization and deserialization of values in these protocols. For example, it may be used to serialize and deserialize a collection of public keys or signatures in a multi-signature scheme.\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for a concrete collection of values in the Sigmastate serialization library.\n\n2. What types of values can be serialized using this code?\n - This code can serialize concrete collections of values with any subtype of SType.\n\n3. What is the purpose of the `HOTSPOT` comment in the code?\n - The `HOTSPOT` comment indicates that the following code is performance-critical and should not be modified for readability or style.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.md"}}],["296",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing constant placeholders. A constant placeholder is a value that is not known at the time of creation but will be resolved to a constant value later on. This is useful in situations where a value needs to be computed at runtime but the computation is expensive or not possible at the time of creation.\n\nThe `ConstantPlaceholderSerializer` class is a serializer for `ConstantPlaceholder` objects. It takes a function `cons` that creates a `Value` object from an integer ID and an `SType` object. The `ConstantPlaceholderSerializer` class extends the `ValueSerializer` class, which is a generic serializer for `Value` objects.\n\nThe `serialize` method takes a `ConstantPlaceholder` object and a `SigmaByteWriter` object and writes the ID of the `ConstantPlaceholder` object to the writer. The `parse` method takes a `SigmaByteReader` object and reads the ID of the `ConstantPlaceholder` object. It then checks if the `resolvePlaceholdersToConstants` flag is set to true. If it is, it retrieves the constant value from the `constantStore` using the ID and returns it. If not, it calls the `cons` function to create a `Value` object from the ID and the `SType` object of the constant value.\n\nThis code is used in the larger Sigmastate project to serialize and deserialize constant placeholders. It allows for efficient computation of values at runtime by deferring the computation until the value is needed. An example usage of this code would be in a smart contract that needs to compute a value based on user input. The contract can create a constant placeholder for the user input and then resolve it to a constant value later on when the computation is needed.\n## Questions: \n 1. What is the purpose of this code?\n This code defines a serializer for a ConstantPlaceholder value in the Sigmastate library.\n\n2. What is the input and output of the `ConstantPlaceholderSerializer` class?\n The input is a function that takes an integer and an SType and returns a Value of that SType. The output is a ValueSerializer for ConstantPlaceholder values.\n\n3. What is the significance of the `resolvePlaceholdersToConstants` flag in the `parse` method?\n This flag determines whether the serializer should return the actual constant value or a ConstantPlaceholder value with the given ID. If the flag is true, the serializer returns the constant value; otherwise, it returns a ConstantPlaceholder value.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.md"}}],["297",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.scala)\n\nThe ConstantSerializer class is a part of the sigmastate.serialization package and is responsible for serializing and deserializing Constant values. This class works in tandem with the DataSerializer class, which is responsible for serializing and deserializing data values. If any changes are made to one class, it is important to check the other class to ensure compatibility.\n\nThe ConstantSerializer class is a case class that takes a SigmaBuilder as a parameter. It extends the ValueSerializer trait, which is responsible for serializing and deserializing values of type Constant[SType]. The opDesc method returns the Constant object, which is used to identify the operation during serialization and deserialization.\n\nThe serialize method takes a Constant[SType] object and a SigmaByteWriter object as parameters. It first writes the type of the Constant object to the SigmaByteWriter using the putType method. It then calls the DataSerializer.serialize method to serialize the value of the Constant object and writes it to the SigmaByteWriter.\n\nThe deserialize method takes a SigmaByteReader object as a parameter and returns a Constant[SType] object. It first reads the type of the Constant object from the SigmaByteReader using the getType method. It then calls the DataSerializer.deserialize method to deserialize the value of the Constant object. Finally, it uses the SigmaBuilder object to create a new Constant[SType] object with the deserialized value and type.\n\nOverall, the ConstantSerializer class is an important component of the larger project as it enables the serialization and deserialization of Constant values. This is crucial for the efficient storage and transmission of data within the project. Below is an example of how the ConstantSerializer class can be used:\n\n```\nval builder = new SigmaBuilder\nval constant = builder.mkConstant(42, SInt)\nval writer = new SigmaByteWriter\nConstantSerializer(builder).serialize(constant, writer)\nval reader = new SigmaByteReader(writer.toBytes)\nval deserialized = ConstantSerializer(builder).deserialize(reader)\nassert(constant == deserialized)\n```\n## Questions: \n 1. What is the purpose of this code?\n \n This code defines a serializer for the Constant class in the Sigmastate library, which is used to serialize and deserialize constant values of various types.\n\n2. What other classes or libraries does this code depend on?\n \n This code depends on several other classes and libraries from the Sigmastate library, including SType, Value, SigmaBuilder, SigmaByteReader, SigmaByteWriter, and DataSerializer.\n\n3. Are there any potential performance or security concerns with this code?\n \n It is possible that there could be performance or security concerns with this code, particularly if it is used to serialize or deserialize large amounts of data or if it is used in a context where security is critical. However, without more information about the specific use case and context, it is difficult to say for certain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.md"}}],["298",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.scala)\n\nThe `ConstantStore` class is used in the deserialization process of the project. It is responsible for storing and retrieving constant values of various types. The class takes an optional `IndexedSeq` of `Constant` objects as a constructor argument, which is used to initialize the internal `store` buffer. \n\nThe `put` method is used to add a new `Constant` object to the `store` buffer. It takes a `Constant` object of any subtype of `SType` as an argument and returns a `ConstantPlaceholder` object of the same type. The `Constant` object is cast to `Constant[SType]` and added to the `store` buffer. Then, a new `ConstantPlaceholder` object is created using the `SigmaBuilder` instance passed as an implicit parameter. The `ConstantPlaceholder` object is initialized with the index of the newly added `Constant` object in the `store` buffer and its type. Finally, the `ConstantPlaceholder` object is cast to the appropriate subtype of `ConstantPlaceholder` and returned.\n\nThe `get` method is used to retrieve a `Constant` object from the `store` buffer by its index. It takes an integer index as an argument and returns the `Constant` object at that index.\n\nThe `getAll` method is used to retrieve all `Constant` objects from the `store` buffer as an `IndexedSeq`. It returns a copy of the `store` buffer as an array.\n\nOverall, the `ConstantStore` class provides a simple and efficient way to store and retrieve constant values during the deserialization process. It can be used in conjunction with other classes and methods to deserialize complex data structures in the project. \n\nExample usage:\n\n```\nval store = new ConstantStore()\nval constant = Constant[SType](1)\nval placeholder = store.put(constant)\nval retrievedConstant = store.get(0)\nval allConstants = store.getAll\n```\n## Questions: \n 1. What is the purpose of the ConstantStore class?\n - The ConstantStore class is used for storing and retrieving Constant objects of a specific SType, and also provides a way to create ConstantPlaceholder objects.\n2. What is the significance of the HOTSPOT comment?\n - The HOTSPOT comment indicates that the code in the class is critical for deserialization and should not be modified for the sake of code readability or style.\n3. What is the role of the SigmaBuilder implicit parameter in the put method?\n - The SigmaBuilder implicit parameter is used to create a ConstantPlaceholder object with the correct type information, based on the SType of the Constant being stored.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.md"}}],["299",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.scala)\n\nThe `CreateAvlTreeSerializer` class is responsible for serializing and deserializing instances of the `CreateAvlTree` operation in the Sigma state language. The `CreateAvlTree` operation is used to create an authenticated AVL+ tree, which is a data structure that allows for efficient storage and retrieval of key-value pairs while ensuring the integrity of the data. \n\nThe `CreateAvlTreeSerializer` class takes a constructor function as a parameter, which is used to create an instance of the `AvlTreeValue` class. This allows for flexibility in creating different types of AVL+ trees with varying parameters. \n\nThe class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing instances of the `CreateAvlTree` operation. The `serialize` method takes an instance of `CreateAvlTree` and a `SigmaByteWriter` object, and writes the operation's parameters to the writer in a specific order. The `parse` method takes a `SigmaByteReader` object and reads the operation's parameters in the same order, then uses the constructor function to create an instance of `AvlTreeValue` with the parsed parameters. \n\nThe class also defines several `DataInfo` objects that provide information about the types and sizes of the operation's parameters. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` to ensure that the serialized data is correctly formatted and can be deserialized properly. \n\nOverall, the `CreateAvlTreeSerializer` class plays an important role in the serialization and deserialization of the `CreateAvlTree` operation, which is a key component of the Sigma state language's functionality for creating authenticated AVL+ trees. Its flexibility in allowing for different types of AVL+ trees to be created makes it a valuable tool for developers working with the Sigma state language. \n\nExample usage:\n\n```scala\nval serializer = CreateAvlTreeSerializer((flags, digest, keyLength, valueLength) =>\n AvlTreeValue(flags, digest, keyLength, valueLength)\n)\n\nval avlTree = AvlTreeValue(Array[Byte](1, 2, 3), 32, None)\nval serialized = serializer.serialize(CreateAvlTree(avlTree))\nval deserialized = serializer.parse(SigmaByteReader(serialized)).tree\nassert(avlTree == deserialized)\n```\n## Questions: \n 1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for the CreateAvlTree operation in the Sigma state language. It serializes and deserializes the operation's arguments to and from bytes.\n\n2. What other operations or values does this code depend on?\n \n This code depends on several other classes and objects from the sigmastate package, including SCollection, SOption, SigmaByteReader, SigmaByteWriter, AvlTreeValue, and ValueSerializer.\n\n3. Are there any potential performance or security concerns with this code?\n \n It is difficult to determine potential performance or security concerns without more context about the overall project and how this code is used. However, it is worth noting that this code is responsible for serializing and deserializing sensitive data related to the creation of an AVL tree, so it is important to ensure that it is implemented correctly and securely.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.md"}}],["300",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.scala)\n\nThe `DataSerializer` object provides methods for serializing and deserializing data values of various types. It is used in tandem with the `ConstantSerializer` object to serialize and deserialize constants in the Sigma programming language. \n\nThe `serialize` method takes a data value `v`, a type descriptor `tpe`, and a `SigmaByteWriter` object `w`. It recursively deconstructs the type structure of `tpe` and serializes the subcomponents of `v` accordingly. Primitive types are the leaves of the type tree, and they are served as the basis of recursion. The serialized data is written to the `SigmaByteWriter` object `w`. \n\nThe `deserialize` method reads a data value from a `SigmaByteReader` object `r`. The data value bytes are expected to conform to the type descriptor `tpe`. The method recursively constructs the data value from the serialized subcomponents read from `r`. The data structure depth is limited by `r.maxTreeDepth`, which is `SigmaSerializer.MaxTreeDepth` by default. \n\nThe `deserializeColl` method is a helper method for deserializing collections. It takes a length `len`, an element type descriptor `tpeElem`, and a `SigmaByteReader` object `r`. It constructs a collection of the specified length and element type from the serialized data read from `r`. \n\nThe `DataSerializer` object is used in the larger project to serialize and deserialize constants in the Sigma programming language. For example, the `serialize` method is used to serialize constants in the `ConstantNode` class, which represents a constant value in a Sigma expression. The `deserialize` method is used to deserialize constants in the `ConstantNode` class and other classes that use constants. \n\nExample usage of the `serialize` method:\n\n```\nval value: Int = 42\nval tpe: SInt.type = SInt\nval writer: SigmaByteWriter = new SigmaByteWriter()\nDataSerializer.serialize(value, tpe, writer)\nval bytes: Array[Byte] = writer.toBytes\n```\n\nExample usage of the `deserialize` method:\n\n```\nval bytes: Array[Byte] = Array(0, 0, 0, 42)\nval tpe: SInt.type = SInt\nval reader: SigmaByteReader = SigmaByteReader(bytes)\nval value: Int = DataSerializer.deserialize(tpe, reader)\n```\n## Questions: \n 1. What is the purpose of the `DataSerializer` object?\n- The `DataSerializer` object provides methods for serializing and deserializing data values of various types.\n\n2. What types of data values can be serialized and deserialized using the `DataSerializer` object?\n- The `DataSerializer` object can serialize and deserialize data values of types such as `SUnit`, `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SString`, `SBigInt`, `SGroupElement`, `SSigmaProp`, `SBox`, `SAvlTree`, and `SCollectionType`.\n\n3. What is the purpose of the `deserializeColl` method?\n- The `deserializeColl` method is used to deserialize a collection of data values of a given type. It takes in the length of the collection, the type of the elements in the collection, and a `SigmaByteReader` object, and returns a `Coll` object containing the deserialized data values.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.md"}}],["301",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.scala)\n\nThe `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree instances, which represent the spending conditions of a transaction output in the Ergo platform. ErgoTree instances can be serialized with or without a size bit, and with or without constant segregation. The class provides methods for serializing and deserializing ErgoTree instances, as well as methods for substituting constants in a serialized ErgoTree.\n\nThe `serializeErgoTree` method takes an ErgoTree instance and returns its serialized representation as an array of bytes. If the ErgoTree instance has an UnparsedErgoTree as its root, the original bytes are returned. Otherwise, the header, constants, and root of the ErgoTree are serialized.\n\nThe `deserializeErgoTree` method takes an array of bytes and returns the corresponding ErgoTree instance. It first deserializes the header and optional size, then deserializes the constants and the root of the ErgoTree. If a ValidationException is thrown during deserialization, an UnparsedErgoTree is created with the original bytes and the exception.\n\nThe `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It returns a new serialized ErgoTree with the constants at the specified positions replaced with the new values. This method is useful for using serialized scripts as pre-defined templates.\n\nExample usage:\n\n```scala\nval ergoTree: ErgoTree = ...\nval serializer = ErgoTreeSerializer.DefaultSerializer\n\n// Serialize ErgoTree\nval serialized: Array[Byte] = serializer.serializeErgoTree(ergoTree)\n\n// Deserialize ErgoTree\nval deserialized: ErgoTree = serializer.deserializeErgoTree(serialized)\n\n// Substitute constants\nval positions: Array[Int] = Array(0, 2)\nval newVals: Array[Constant[SType]] = Array(c1, c2)\nval (newBytes, len) = serializer.substituteConstants(serialized, positions, newVals)\n```\n\nThe rationale for soft-forkable ErgoTree serialization is explained in the comments, detailing how the header version check and size bit can be used to handle soft forks and maintain consensus.\n## Questions: \n 1. **Question**: What is the purpose of the `ErgoTreeSerializer` class?\n **Answer**: The `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree objects, which represent the structure of Ergo smart contracts. It also provides methods for substituting constants in the serialized ErgoTree, allowing for efficient script templates.\n\n2. **Question**: How does the `substituteConstants` method work and what is its purpose?\n **Answer**: The `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It replaces the constants at the specified positions with the new values, allowing for the use of serialized scripts as pre-defined templates. This method is efficient, with a time complexity of O(n + m), where n is the number of positions and m is the number of constants.\n\n3. **Question**: What is the rationale behind the soft-forkable ErgoTree serialization?\n **Answer**: The soft-forkable ErgoTree serialization allows for the possibility of upgrading the protocol without causing a hard fork. It ensures that nodes with different versions can still parse and validate scripts, and that the decision about a soft-fork can be made later. This is achieved by checking the content of the script against the version number in the header during deserialization and enforcing certain rules based on the version numbers of the nodes and the script.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.md"}}],["302",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the FuncValue class in the Sigmastate project. The FuncValue class represents a function value in the Sigmastate language, which is a typed functional language used for smart contracts on the Ergo blockchain. The purpose of this serializer is to convert a FuncValue object into a byte array that can be transmitted over the network or stored on disk, and to deserialize a byte array back into a FuncValue object.\n\nThe FuncValueSerializer class is a subclass of the ValueSerializer class, which is a generic serializer for all types of values in Sigmastate. The FuncValueSerializer overrides the serialize and parse methods of the ValueSerializer class to handle the serialization and deserialization of FuncValue objects. The serialize method takes a FuncValue object and a SigmaByteWriter object as input, and writes the serialized byte array to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the byte array from the SigmaByteReader, and returns a FuncValue object.\n\nThe FuncValueSerializer class defines several DataInfo objects that describe the format of the serialized byte array. These DataInfo objects include information about the number of function arguments, the identifier and type of each argument, and the function body. The serialize method uses these DataInfo objects to write the serialized byte array in the correct format. The parse method uses the SigmaByteReader object to read the serialized byte array in the correct format, and constructs a FuncValue object from the deserialized data.\n\nOverall, the FuncValueSerializer class is an important component of the Sigmastate project, as it enables the serialization and deserialization of function values, which are a fundamental building block of smart contracts on the Ergo blockchain. An example of how this serializer might be used in the larger project is in the transmission of a smart contract from one node to another over the network. The FuncValueSerializer would be used to convert the smart contract into a byte array that can be transmitted over the network, and to reconstruct the smart contract on the receiving node from the byte array.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a serializer for a function value in the Sigmastate language.\n\n2. What other classes or packages does this code depend on?\n- This code depends on classes and packages from the Sigmastate and Sigmastate.utils packages.\n\n3. What is the format of the serialized function value?\n- The serialized function value includes the number of arguments, the identifier and type of each argument, and the function body.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.md"}}],["303",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the GetVar operation in the SigmaState project. The SigmaState project is a framework for building smart contracts on top of the UTXO (Unspent Transaction Output) model used in cryptocurrencies like Bitcoin. The GetVar operation retrieves a context variable from the current state of the UTXO. \n\nThe GetVarSerializer class is responsible for serializing and deserializing instances of the GetVar operation. It takes a constructor function as a parameter that is used to create a new instance of the GetVar operation during deserialization. The class extends the ValueSerializer trait, which is a generic serializer for SigmaState values. \n\nThe serialize method takes a GetVar instance and a SigmaByteWriter instance as parameters. It writes the variable ID and the expected type of the context variable to the SigmaByteWriter. The parse method takes a SigmaByteReader instance as a parameter and reads the variable ID and the type of the context variable from it. It then uses the constructor function to create a new instance of the GetVar operation with the retrieved variable ID and type.\n\nThis serializer is an important part of the SigmaState project as it allows for the serialization and deserialization of the GetVar operation, which is a crucial part of building smart contracts on the UTXO model. It can be used in conjunction with other serializers and deserializers to build a complete serialization framework for the SigmaState project. \n\nExample usage of the GetVarSerializer class:\n\n```\nval serializer = GetVarSerializer((varId: Byte, tpe: SType) => GetVar(varId, tpe))\nval getVar = GetVar(1, SInt)\nval writer = new SigmaByteWriter()\nserializer.serialize(getVar, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\nassert(parsed == getVar)\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for the `GetVar` operation in the Sigma state language, which is used to retrieve a context variable in a UTXO transaction.\n2. What other operations are available in the `sigmastate` package?\n - The `sigmastate` package contains other operations and values used in the Sigma state language, such as `AND`, `OR`, `Xor`, `IntConstant`, `ByteArrayConstant`, etc.\n3. What is the role of the `cons` parameter in the `GetVarSerializer` case class?\n - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value` of type `SOption[SType]`. It is used to construct a `GetVar` object from the serialized data.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.md"}}],["304",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.scala)\n\nThe `GroupElementSerializer` object is responsible for serializing and deserializing elliptic curve points to and from bytes. This is an important functionality in the larger project as elliptic curve cryptography is used extensively. \n\nThe serializer encodes every point in compressed form, meaning only the X coordinate and the sign of Y are stored. For secp256k1 point, 33 bytes are needed. The first byte indicates whether the Y coordinate is positive or negative (2 for positive, 3 for negative), while the other 32 bytes contain the X coordinate. The special case of an infinity point is encoded by 33 zeroes. Therefore, every elliptic curve point is always encoded with 33 bytes.\n\nThe `serialize` method takes an elliptic curve point and a `SigmaByteWriter` object as input. If the point is an infinity point, it writes the pre-defined `identityPointEncoding` to the writer. Otherwise, it normalizes the point, determines the sign of Y, gets the encoded X coordinate, and creates a new byte array `PO` of length `X.length + 1`. It sets the first byte of `PO` to 0x03 if the Y sign is negative, and 0x02 otherwise. It then copies the X coordinate to the remaining bytes of `PO`. Finally, it writes `PO` to the writer.\n\nThe `parse` method takes a `SigmaByteReader` object as input and returns an elliptic curve point. It reads `encodingSize` bytes from the reader and checks if the first byte is zero. If it is not zero, it decodes the point using the `decodePoint` method of the `curve` object. Otherwise, it returns the identity point of the curve.\n\nThe `parse` method is also overloaded to take an array of bytes as input. It creates a new `SigmaByteReader` object using the `startReader` method of the `SigmaSerializer` object and passes it to the `parse` method.\n\nOverall, the `GroupElementSerializer` object provides an essential functionality for the project by allowing elliptic curve points to be serialized and deserialized to and from bytes.\n## Questions: \n 1. What is the purpose of this code?\n- This code is a serializer that encodes and decodes elliptic curve points to and from bytes.\n\n2. What type of elliptic curve is being used?\n- The code is using the secp256k1 elliptic curve.\n\n3. How are infinity points encoded?\n- Infinity points are encoded as an array of 33 zeroes.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.md"}}],["305",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the LogicalNot operation in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of existing blockchain protocols. \n\nThe LogicalNot operation is a unary logical negation operation that takes a boolean input and returns its negation. The purpose of this serializer is to provide a way to convert LogicalNot objects into a byte representation that can be transmitted over the network or stored in a database. \n\nThe LogicalNotSerializer class takes a constructor argument `cons` which is a function that takes a BoolValue object and returns a new BoolValue object. This function is used to construct a new LogicalNot object during deserialization. \n\nThe `opDesc` method returns the LogicalNot operation object, which is used to identify the operation during serialization and deserialization. The `inputInfo` value is a DataInfo object that describes the input argument to the LogicalNot operation. \n\nThe `serialize` method takes a LogicalNot object and a SigmaByteWriter object and writes the input value of the LogicalNot object to the SigmaByteWriter using the `putValue` method. \n\nThe `parse` method takes a SigmaByteReader object and reads the input value of the LogicalNot object using the `getValue` method. It then constructs a new BoolValue object using the `cons` function and returns it. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize LogicalNot objects for use in smart contracts. For example, a smart contract that uses LogicalNot operations could use this serializer to store and retrieve LogicalNot objects from a database or transmit them over the network. \n\nExample usage:\n\n```\nval logicalNot = LogicalNot(BoolConstant(true))\nval serializer = LogicalNotSerializer((bv: BoolValue) => bv)\nval writer = new SigmaByteWriter()\nserializer.serialize(logicalNot, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\nassert(parsed == logicalNot)\n```\n## Questions: \n 1. What is the purpose of this code and what does it do?\n This code is a serializer for the LogicalNot operation in the Sigma protocol. It serializes and deserializes LogicalNot objects.\n\n2. What is the inputArg used for in this code?\n The inputArg is used to define the type of the input argument for the LogicalNot operation.\n\n3. What is the significance of the cons parameter in the LogicalNotSerializer case class?\n The cons parameter is a constructor function that takes a BoolValue as input and returns a BoolValue. It is used to create a new LogicalNot object during deserialization.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.md"}}],["306",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.scala)\n\nThe `MethodCallSerializer` class is responsible for serializing and deserializing `MethodCall` objects in the `sigmastate` package. A `MethodCall` is a node in the Sigma protocol's abstract syntax tree (AST) that represents a method call on an object. The purpose of this class is to convert `MethodCall` objects to and from a byte stream that can be transmitted over the network or stored on disk.\n\nThe `MethodCallSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all types of `Value` objects in the Sigma protocol. It takes a constructor function as a parameter that is used to create a new `Value` object from the deserialized data. The `MethodCallSerializer` class overrides the `serialize` and `parse` methods of the `ValueSerializer` class to implement the serialization and deserialization logic for `MethodCall` objects.\n\nThe `serialize` method writes the `MethodCall` object to a `SigmaByteWriter` object. It first writes the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. The `parse` method reads the `MethodCall` object from a `SigmaByteReader` object. It reads the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. It then constructs a new `MethodCall` object using the constructor function passed to the `MethodCallSerializer` constructor.\n\nThe `MethodCallSerializer` class also defines several `DataInfo` objects that describe the format of the serialized data. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` classes to write and read the data in the correct format.\n\nThe `MethodCallSerializer` class also defines a `getComplexity` method that returns the complexity of the `MethodCall` object. This method is used to calculate the cost of executing the `MethodCall` object in the Sigma protocol.\n\nOverall, the `MethodCallSerializer` class is an important component of the Sigma protocol's serialization and deserialization infrastructure. It allows `MethodCall` objects to be transmitted over the network or stored on disk in a compact and efficient format.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a serializer for the MethodCall class in the sigmastate package, which is used to serialize and deserialize method calls in the ErgoTree language.\n\n2. What is the significance of the `specializeFor` method call?\n- The `specializeFor` method call is used to create a specialized SMethod instance based on the type of the receiver object and the types of the arguments passed to the method call. This ensures that the method call is monomorphic and can be properly serialized and deserialized.\n\n3. What is the purpose of the `getComplexity` method?\n- The `getComplexity` method returns the complexity of the MethodCall serialization, which is used to calculate the overall complexity of the ErgoTree. However, in this implementation, the complexity is added explicitly in the `parse` method, so this method returns 0.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.md"}}],["307",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.scala)\n\nThe ModQArithOpSerializer is a class that serializes and deserializes ModQArithOp objects. ModQArithOp is a class that represents modular arithmetic operations on BigIntegers. The purpose of this serializer is to convert ModQArithOp objects into a byte stream that can be transmitted over a network or stored in a file, and to convert the byte stream back into ModQArithOp objects.\n\nThe ModQArithOpSerializer class takes two arguments: opDesc, which is an instance of ModQArithOpCompanion, and cons, which is a function that takes two BigIntValue objects and returns a new BigIntValue object. The opDesc argument provides information about the ModQArithOp operation being serialized, such as the types of its arguments. The cons argument is used to create a new ModQArithOp object from the deserialized arguments.\n\nThe serialize method takes a ModQArithOp object and a SigmaByteWriter object as arguments. It writes the left and right arguments of the ModQArithOp object to the SigmaByteWriter object using the putValue method. The putValue method converts the argument to a byte stream and writes it to the SigmaByteWriter object.\n\nThe parse method takes a SigmaByteReader object as an argument. It reads the left and right arguments of the ModQArithOp object from the SigmaByteReader object using the getValue method. The getValue method reads a byte stream from the SigmaByteReader object and converts it to a Value object. The asBigInt method is then used to convert the Value object to a BigInt object. Finally, the cons function is called with the two BigInt objects as arguments to create a new ModQArithOp object.\n\nThis serializer is an important component of the larger project because it allows ModQArithOp objects to be transmitted over a network or stored in a file. It can be used in conjunction with other serializers to transmit and store complex data structures that include ModQArithOp objects. For example, a transaction that includes a ModQArithOp operation could be serialized using this serializer and transmitted over a network to be included in a blockchain.\n## Questions: \n 1. What is the purpose of this code?\n - This code is a serializer for ModQArithOp, which is a type of arithmetic operation on modular integers in the Sigma protocol.\n\n2. What is the expected input and output of this code?\n - The input is a ModQArithOp object, which consists of two BigIntValue arguments. The output is a serialized version of the object or a BigIntValue resulting from parsing a serialized object.\n\n3. Are there any known issues or areas for improvement in this code?\n - Yes, there is a TODO comment indicating that the code needs to be covered with tests.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.md"}}],["308",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the ModQ class in the Sigmastate project. The ModQ class represents a modular integer value, which is a value that is reduced modulo a prime number. The purpose of this serializer is to convert ModQ objects into a byte stream that can be transmitted or stored, and to convert byte streams back into ModQ objects.\n\nThe serializer is implemented as an object called ModQSerializer, which extends the ValueSerializer trait. The ValueSerializer trait is a generic trait that defines methods for serializing and deserializing objects of any class that extends the Value trait. The Value trait is a trait that is extended by all value types in the Sigmastate project.\n\nThe ModQSerializer object defines two methods for serializing and deserializing ModQ objects. The serialize method takes a ModQ object and a SigmaByteWriter object as input, and writes the ModQ object to the SigmaByteWriter object as a byte stream. The parse method takes a SigmaByteReader object as input, reads a byte stream from the SigmaByteReader object, and returns a ModQ object.\n\nThe ModQSerializer object also defines an opDesc method that returns the ModQ object's operation description. This method is used to identify the ModQ object's operation when it is serialized and deserialized.\n\nThis serializer is an important component of the Sigmastate project, as it allows ModQ objects to be transmitted and stored in a compact and efficient manner. It can be used in conjunction with other serializers in the project to serialize and deserialize complex data structures. For example, the serializer can be used to serialize and deserialize transactions in the Sigmastate blockchain. \n\nExample usage:\n\n```\nval modQ = ModQ(1234567890)\nval writer = new SigmaByteWriter()\nModQSerializer.serialize(modQ, writer)\nval bytes = writer.toBytes()\n\nval reader = new SigmaByteReader(bytes)\nval parsedModQ = ModQSerializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code?\n This code defines a serializer for the ModQ type in the Sigmastate library, which is used to represent modular arithmetic operations.\n\n2. What is the expected input and output of the `serialize` and `parse` methods?\n The `serialize` method takes a ModQ object and a SigmaByteWriter and writes the object's input value to the writer. The `parse` method takes a SigmaByteReader and returns a ModQ object constructed from the reader's input.\n\n3. Why is there a TODO comment in the code?\n The TODO comment indicates that the code needs to be covered with tests before the next major version release of the library (v6.0).","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.md"}}],["309",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for a specific type of operation in the SigmaState project. SigmaState is a blockchain protocol that enables the creation of smart contracts with advanced privacy features. The OneArgumentOperationSerializer is a class that serializes and deserializes OneArgumentOperation objects, which are operations that take a single input value and produce a result of a specific type.\n\nThe OneArgumentOperationSerializer takes two parameters: an instance of the OneArgumentOperationCompanion class, which provides information about the operation being serialized, and a constructor function that creates a new SValue object from a Value object of a specific type. The serializer extends the ValueSerializer class, which provides methods for serializing and deserializing values.\n\nThe serialize method takes a OneArgumentOperation object and a SigmaByteWriter object as input. It then uses the putValue method of the SigmaByteWriter class to write the input value of the operation to the output stream. The objInfo parameter is used to provide information about the type of the input value.\n\nThe parse method takes a SigmaByteReader object as input and returns an SValue object. It reads the input value from the input stream using the getValue method of the SigmaByteReader class and then constructs a new SValue object using the constructor function provided in the constructor.\n\nOverall, the OneArgumentOperationSerializer is an important component of the SigmaState project, as it enables the serialization and deserialization of OneArgumentOperation objects, which are used extensively in the creation of smart contracts. The serializer can be used in conjunction with other components of the SigmaState project to create and execute smart contracts with advanced privacy features.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n This code defines a serializer for a OneArgumentOperation in the Sigmastate serialization library, which is used to serialize and deserialize values in the Sigmastate language.\n\n2. What is the significance of the type parameter T and how is it used in this code?\n The type parameter T represents the type of the input value for the OneArgumentOperation, and it is used to ensure that the input value is of the correct type when serializing and deserializing.\n\n3. How does this code handle errors or invalid input values?\n This code does not explicitly handle errors or invalid input values, so it is up to the caller to ensure that the input value is valid and of the correct type.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.md"}}],["310",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.scala)\n\nThe code provided is a set of traits and objects that define the encoding of types and values for serialization in the Sigmastate project. The purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. \n\nThe `TypeCodes` trait defines the encoding of types for serialization. It includes two constants, `FirstDataType` and `LastDataType`, which define the range of byte values that represent data types. The `FirstFuncType` and `LastFuncType` constants define the range of byte values that represent functional types. \n\nThe `ValueCodes` trait extends `TypeCodes` and defines the encoding of values for serialization. It includes a constant `ConstantCode` that represents a constant value and a `LastConstantCode` constant that represents the last constant code. \n\nThe `OpCodes` object extends `ValueCodes` and defines the set of all possible IR graph nodes that can be used in the ErgoTree. It includes a set of constants that represent different operations, such as arithmetic operations, environment codes, and cryptographic operations. Each constant is assigned a unique byte value that falls within the range of `LastConstantCode` and `255`. \n\nThe purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. It is used in the larger Sigmastate project to enable the serialization and deserialization of data and values in a way that is efficient and easy to use. \n\nExample usage of this code might include encoding and decoding values in a smart contract or other application that uses the Sigmastate protocol. For example, to encode a constant value, one might use the `ConstantCode` constant and then decode an instance of `SType` and then decode data using `DataSerializer`. \n\nOverall, this code provides an important foundation for the Sigmastate project, enabling efficient and effective serialization and deserialization of data and values.\n## Questions: \n 1. What is the purpose of the `TypeCodes` trait and what are the values of `FirstDataType` and `LastDataType`?\n \n The `TypeCodes` trait defines the encoding of types for serialization. `FirstDataType` and `LastDataType` represent the range of byte values that are used to recognize all data types.\n\n2. What is the purpose of the `OpCodes` object and how are op codes represented?\n \n The `OpCodes` object defines the set of all possible IR graph nodes that can appear in ErgoTree. Op codes are represented as byte-sized codes and stored as a single byte. Extended codes are represented as a Short and serialized using VLQ.\n\n3. What is the purpose of the `ValueCodes` trait and what is the significance of `ConstantCode` and `LastConstantCode`?\n \n The `ValueCodes` trait defines the encoding of values for serialization. `ConstantCode` represents the op code used to encode constant values, and `LastConstantCode` represents the last constant code, which is used to represent generic function types. This allows for optimized encoding of constant values to save space in serialization.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.md"}}],["311",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.scala)\n\nThe code above is a part of the Sigmastate serialization package and is responsible for serializing and deserializing the OptionGetOrElse operation. The OptionGetOrElse operation is used in the Sigmastate language to retrieve a value from an optional input, and if the input is empty, return a default value instead. \n\nThe OptionGetOrElseSerializer class is a custom serializer for the OptionGetOrElse operation. It takes a constructor function as a parameter, which is used to create a new OptionGetOrElse object during deserialization. The class extends the ValueSerializer class, which is a generic serializer for all Sigmastate values. \n\nDuring serialization, the serialize method takes an OptionGetOrElse object and a SigmaByteWriter object as input. It then writes the input and default values of the OptionGetOrElse object to the SigmaByteWriter object using the putValue method. The putValue method is a generic method that can write any Sigmastate value to the SigmaByteWriter object. \n\nDuring deserialization, the parse method reads the input and default values from a SigmaByteReader object and passes them to the constructor function to create a new OptionGetOrElse object. The getValue method of the SigmaByteReader object is used to read Sigmastate values from the byte stream. \n\nOverall, the OptionGetOrElseSerializer class is an important part of the Sigmastate serialization package and is used to serialize and deserialize the OptionGetOrElse operation. It provides a custom serialization format for the operation, which is optimized for size and efficiency. Developers working with the Sigmastate language can use this class to serialize and deserialize OptionGetOrElse objects as needed. \n\nExample usage:\n\n```\nval input: Value[SOption[SType]] = SOption[Int](Some(5))\nval default: Value[SType] = IntConstant(0)\nval op: OptionGetOrElse[SType] = OptionGetOrElse(input, default)\nval serializer: OptionGetOrElseSerializer = OptionGetOrElseSerializer(op.cons)\nval writer: SigmaByteWriter = new SigmaByteWriter()\nserializer.serialize(op, writer)\nval bytes: Array[Byte] = writer.toBytes\n\n// Deserialize bytes back to OptionGetOrElse object\nval reader: SigmaByteReader = SigmaByteReader(bytes)\nval deserializedOp: OptionGetOrElse[SType] = serializer.parse(reader).asInstanceOf[OptionGetOrElse[SType]]\n```\n## Questions: \n 1. What is the purpose of the `OptionGetOrElse` class and how is it used in this code?\n - The `OptionGetOrElse` class is used to get the value of an `SOption` type or return a default value if it is empty. This code provides a serializer for the `OptionGetOrElse` class.\n2. What is the role of the `ValueSerializer` trait and how does it relate to this code?\n - The `ValueSerializer` trait is used to serialize and deserialize values of a specific type. In this code, it is used to serialize and deserialize values of the `OptionGetOrElse` class.\n3. What is the purpose of the `opDesc` method and how is it used in this code?\n - The `opDesc` method returns a description of the operation that the serializer is used for. In this code, it returns the description of the `OptionGetOrElse` operation.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.md"}}],["312",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.scala)\n\nThe `PropertyCallSerializer` class is responsible for serializing and deserializing `PropertyCall` objects in the `sigmastate` package. A `PropertyCall` is a type of `MethodCall` that represents a call to a property of an object. \n\nThe `PropertyCallSerializer` class extends the `ValueSerializer` class and overrides its methods to provide serialization and deserialization functionality for `PropertyCall` objects. The `serialize` method takes a `MethodCall` object and a `SigmaByteWriter` object as input and writes the serialized data to the `SigmaByteWriter`. The `parse` method takes a `SigmaByteReader` object as input and reads the serialized data from it to create a `PropertyCall` object.\n\nThe `PropertyCallSerializer` class has a constructor that takes a function as input. This function is used to create a `Value` object from the deserialized data. The `cons` function takes four arguments: a `Value` object representing the receiver object of the property call, an `SMethod` object representing the method being called, a sequence of `Value` objects representing the arguments to the method call, and an `STypeSubst` object representing the type substitutions for the method call.\n\nThe `PropertyCallSerializer` class also defines three `DataInfo` objects that provide information about the serialized data. The `typeCodeInfo` object represents the type of the method being called, the `methodCodeInfo` object represents the code of the property being called, and the `objInfo` object represents the receiver object of the property call.\n\nThe `PropertyCallSerializer` class is used in the larger project to serialize and deserialize `PropertyCall` objects. For example, if the project needs to store `PropertyCall` objects in a database or send them over a network, the `PropertyCallSerializer` class can be used to serialize the objects into a byte stream and deserialize them back into `PropertyCall` objects. \n\nHere is an example of how the `PropertyCallSerializer` class can be used to serialize and deserialize a `PropertyCall` object:\n\n```\nval propertyCall = PropertyCall(receiverObject, method, arguments)\nval serializer = PropertyCallSerializer(consFunction)\nval writer = new SigmaByteWriter()\nserializer.serialize(propertyCall, writer)\nval bytes = writer.toBytes()\n\n// Deserialize the bytes back into a PropertyCall object\nval reader = new SigmaByteReader(bytes)\nval deserializedPropertyCall = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code file?\n- This code file contains a serializer for a property call in the Sigma state language.\n\n2. What is the significance of the `getComplexity` method?\n- The `getComplexity` method returns the complexity of the property call, which is used in the `parse` method to add complexity to the `SigmaByteReader`.\n\n3. What is the `cons` parameter in the `PropertyCallSerializer` case class?\n- The `cons` parameter is a function that constructs a `Value[SType]` object from a receiver object, a specialized method, a sequence of values, and a substitution.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.md"}}],["313",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.scala)\n\nThe code provided is a part of the Sigmastate serialization module. This module is responsible for serializing and deserializing various types of objects used in the Sigmastate language. The code defines two serializer classes, ProveDlogSerializer and CreateProveDlogSerializer, which are used to serialize and deserialize objects of type ProveDlog and CreateProveDlog, respectively.\n\nProveDlog is a cryptographic primitive used in the Sigmastate language to represent a discrete logarithm proof of knowledge. It is implemented using elliptic curve cryptography and is used to prove that a given value is a valid public key. The ProveDlogSerializer class takes a constructor argument of type EcPointType => ProveDlog, which is used to create a new instance of ProveDlog. The serialize method of this class serializes the value of the ProveDlog object using the GroupElementSerializer class, which is responsible for serializing and deserializing elliptic curve points. The parse method of this class deserializes the value of the ProveDlog object using the GroupElementSerializer class and returns a new instance of ProveDlog using the constructor argument.\n\nCreateProveDlog is an operation in the Sigmastate language that creates a ProveDlog object from a given SGroupElement value. The CreateProveDlogSerializer class takes a constructor argument of type Value[SGroupElement.type] => SigmaPropValue, which is used to create a new instance of SigmaPropValue from a given SGroupElement value. The serialize method of this class serializes the value of the CreateProveDlog object using the SigmaByteWriter class, which is responsible for writing data to a byte stream. The parse method of this class deserializes the value of the CreateProveDlog object using the SigmaByteReader class, which is responsible for reading data from a byte stream, and returns a new instance of SigmaPropValue using the constructor argument.\n\nOverall, these serializer classes are used to serialize and deserialize ProveDlog and CreateProveDlog objects in the Sigmastate language. They are an important part of the Sigmastate serialization module and are used extensively throughout the project. Below is an example of how the CreateProveDlogSerializer class can be used to serialize a CreateProveDlog object:\n\n```\nval value = SGroupElement.random()\nval createProveDlog = CreateProveDlog(value)\nval serializer = CreateProveDlogSerializer((v: Value[SGroupElement.type]) => SigmaDsl.SigmaProp(v))\nval bytes = SigmaSerializer.startWriter().putValue(createProveDlog, serializer).toBytes\n```\n## Questions: \n 1. What is the purpose of the `ProveDlogSerializer` class?\n \n The `ProveDlogSerializer` class is responsible for serializing and deserializing `ProveDlog` objects, which are used in the DLogProtocol for proving knowledge of discrete logarithms.\n\n2. What is the purpose of the `CreateProveDlogSerializer` class?\n \n The `CreateProveDlogSerializer` class is responsible for serializing and deserializing `CreateProveDlog` objects, which are used to create a `SigmaPropValue` representing a public key that can be used in a Sigma protocol.\n\n3. What is the relationship between `ProveDlogSerializer` and `CreateProveDlogSerializer`?\n \n `ProveDlogSerializer` is used by `CreateProveDlogSerializer` to serialize and deserialize the `ProveDlog` object that is used as an argument to `CreateProveDlog`.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.md"}}],["314",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the SelectField operation in the SigmaState project. The SelectField operation is used to select a specific field from a tuple. The purpose of this serializer is to convert a SelectField object into a byte stream that can be transmitted over a network or stored in a file. \n\nThe code imports several classes and objects from the SigmaState project, including SelectFieldInfo, Value, SValue, STuple, SType, and SigmaByteReader/SigmaByteWriter. It also defines a case class called SelectFieldSerializer that extends the ValueSerializer trait for SelectField objects. The constructor for SelectFieldSerializer takes a function that creates a new Value object from a tuple and a byte representing the index of the selected field. \n\nThe SelectFieldSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes a SelectField object and a SigmaByteWriter object and writes the input value and field index to the writer using the putValue and put methods, respectively. The parse method takes a SigmaByteReader object and reads the input value and field index from the reader. It then calls the constructor function to create a new Value object from the tuple and field index. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize SelectField objects for transmission over a network or storage in a file. For example, if a user wants to select a specific field from a tuple and send it to another node in the network, they can use the SelectField operation and then serialize the resulting SelectField object using this serializer. The resulting byte stream can then be transmitted over the network or stored in a file. On the receiving end, the byte stream can be deserialized using this serializer to recreate the original SelectField object.\n## Questions: \n 1. What is the purpose of this code and what problem does it solve?\n- This code defines a serializer for the SelectField operation in the Sigma state language, which allows for selecting a field from a tuple. It solves the problem of serializing and deserializing SelectField objects for storage or transmission.\n\n2. What other operations or values does this code depend on?\n- This code depends on the SelectField operation, as well as the STuple and SType types from the sigmastate package. It also uses the SigmaByteReader and SigmaByteWriter classes from the sigmastate.utils package.\n\n3. How can this code be extended or modified for different use cases?\n- This code can be extended or modified by creating a new ValueSerializer for a different operation or value type, or by modifying the existing SelectFieldSerializer to handle additional cases or custom serialization logic. The cons function can also be replaced with a different function to construct the resulting Value object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.md"}}],["315",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.scala)\n\nThe code above is a part of the sigmastate.serialization package and contains an object called SigmaPropBytesSerializer. This object is responsible for serializing and deserializing SigmaPropBytes objects, which are used in the larger project to represent a cryptographic proof of ownership of a certain asset.\n\nThe SigmaPropBytesSerializer object extends the ValueSerializer trait, which provides methods for serializing and deserializing values. It also imports the SigmaPropBytesInfo object from the sigmastate.Operations package, which contains information about the SigmaPropBytes operation.\n\nThe opDesc method in the SigmaPropBytesSerializer object returns the SigmaPropBytes operation description, which is used to identify the operation during serialization and deserialization.\n\nThe thisInfo field in the SigmaPropBytesSerializer object is a DataInfo object that contains information about the SigmaPropBytes object being serialized or deserialized.\n\nThe serialize method in the SigmaPropBytesSerializer object takes a SigmaPropBytes object and a SigmaByteWriter object as input and writes the serialized form of the SigmaPropBytes object to the SigmaByteWriter object. It does this by calling the putValue method of the SigmaByteWriter object and passing in the input of the SigmaPropBytes object and the thisInfo field.\n\nThe parse method in the SigmaPropBytesSerializer object takes a SigmaByteReader object as input and reads the serialized form of a SigmaPropBytes object from the SigmaByteReader object. It then creates a new SigmaPropBytes object with the parsed input and returns it.\n\nOverall, the SigmaPropBytesSerializer object is an important part of the larger project as it provides a way to serialize and deserialize SigmaPropBytes objects, which are used to represent cryptographic proofs of ownership. This object can be used by other parts of the project to serialize and deserialize SigmaPropBytes objects as needed.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n - This code is a serializer for the `SigmaPropBytes` class, which is used to represent Sigma-protocols in the SigmaState language. It provides methods for serializing and parsing `SigmaPropBytes` objects using a `SigmaByteWriter` and `SigmaByteReader`, respectively.\n\n2. What other classes or packages does this code depend on?\n - This code depends on several other classes and packages from the `sigmastate` and `sigmastate.utxo` packages, including `SValue`, `SType`, `Values`, `Terms`, `SigmaByteWriter`, `SigmaByteReader`, and `SigmaPropBytesInfo`.\n\n3. Are there any potential issues or limitations with this code?\n - One potential issue with this code is that it assumes that the input `SigmaPropBytes` object has a non-null `input` field, which could cause a `NullPointerException` if this assumption is not met. Additionally, it is unclear from this code whether the `DataInfo` object used in the `serialize` method is properly initialized and configured.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.md"}}],["316",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.scala)\n\nThis code is a part of the Sigmastate project and is responsible for serializing and deserializing instances of the SigmaPropIsProven class. The SigmaPropIsProven class is used to represent a Sigma-protocol proof that a given SigmaProp (a cryptographic primitive used in the Sigmastate language) has been proven. \n\nThe code defines an object called SigmaPropIsProvenSerializer, which extends the ValueSerializer trait for the SigmaPropIsProven class. The ValueSerializer trait is used to define serialization and deserialization methods for a given class. \n\nThe opDesc method returns the SigmaPropIsProven object, which is used to identify the class during serialization and deserialization. The serialize method takes an instance of SigmaPropIsProven and a SigmaByteWriter object and writes the input value of the SigmaPropIsProven object to the SigmaByteWriter. The parse method takes a SigmaByteReader object and reads the input value from it, then creates a new instance of SigmaPropIsProven with the input value and returns it.\n\nThis code is used in the larger Sigmastate project to enable serialization and deserialization of SigmaPropIsProven objects. This is important because SigmaPropIsProven objects are used in the Sigmastate language to represent proofs of ownership of assets in the UTXO (Unspent Transaction Output) model. By enabling serialization and deserialization of these objects, the Sigmastate project can more easily transmit and store proofs of ownership in a secure and efficient manner.\n\nExample usage of this code might look like:\n\n```\nval sigmaProp = // create a SigmaProp object\nval isProven = SigmaPropIsProven(sigmaProp) // create a SigmaPropIsProven object with the SigmaProp\nval writer = new SigmaByteWriter()\nSigmaPropIsProvenSerializer.serialize(isProven, writer) // serialize the SigmaPropIsProven object\nval bytes = writer.toBytes // get the serialized bytes\nval reader = SigmaByteReader(bytes)\nval parsed = SigmaPropIsProvenSerializer.parse(reader) // deserialize the bytes into a new SigmaPropIsProven object\n```\n## Questions: \n 1. What is the purpose of the `SigmaPropIsProven` class?\n - `SigmaPropIsProven` is a class that represents a boolean value indicating whether a given `SigmaProp` is proven or not.\n\n2. What is the `ValueSerializer` trait used for?\n - The `ValueSerializer` trait is used to define serialization and deserialization methods for a specific type of value.\n\n3. What is the `opDesc` method used for in the `SigmaPropIsProvenSerializer` object?\n - The `opDesc` method is used to return the `SigmaPropIsProven` object, which represents the operation being serialized/deserialized.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.md"}}],["317",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.scala)\n\nThe code provided is a collection of helper functions and abstract classes used for serialization and deserialization of objects in the Sigma protocol. The Sigma protocol is a privacy-preserving smart contract platform that allows for the creation of complex contracts with advanced privacy features.\n\nThe `SigmaSerializer` object contains helper functions for reading and writing bytes to and from a `SigmaByteReader` and `SigmaByteWriter`, respectively. These functions are used in the serialization and deserialization of objects in the Sigma protocol. The `startReader` function takes an array of bytes and an optional starting position and returns a `SigmaByteReader` object that can be used to read values from the byte array. The `startWriter` function returns a `SigmaByteWriter` object that can be used to write values to a byte array.\n\nThe `SigmaSerializer` abstract class is a base class for all Sigma serializers. It defines two abstract methods: `serialize` and `parse`. The `serialize` method takes an object of type `T` and a `SigmaByteWriter` object and writes the object to the writer. The `parse` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `SigmaSerializer` class also provides implementations for the `toBytes` and `fromBytes` methods, which use the `serialize` and `parse` methods to serialize and deserialize objects.\n\nThe `SigmaSerializerCompanion` trait is a companion object for Sigma serializers. It defines three abstract methods: `getSerializer`, `deserialize`, and `serialize`. The `getSerializer` method takes an `OpCode` and returns a Sigma serializer for that opcode. The `deserialize` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `serialize` method takes an object of type `TFamily` and a `SigmaByteWriter` object and writes the object to the writer.\n\nOverall, this code provides a framework for serialization and deserialization of objects in the Sigma protocol. It allows for the creation of custom serializers for different types of objects in the protocol, which can be used to read and write those objects to and from byte arrays. This functionality is essential for the proper functioning of the Sigma protocol, as it allows for the secure transfer of data between different nodes in the network.\n## Questions: \n 1. What is the purpose of the `SigmaSerializer` object?\n \n The `SigmaSerializer` object provides helper functions for use in serializers, including functions for starting a reader or writer and defining constants.\n\n2. What is the purpose of the `SigmaSerializer` abstract class?\n \n The `SigmaSerializer` abstract class is a serializer for a specific type of object (`TFamily`) that provides methods for converting the object to and from bytes.\n\n3. What is the purpose of the `SigmaSerializerCompanion` trait?\n \n The `SigmaSerializerCompanion` trait defines methods for serializing and deserializing objects of type `TFamily`, as well as getting a serializer for a specific opcode.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.md"}}],["318",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.scala)\n\nThe `SubstConstantsSerializer` object is responsible for serializing and deserializing instances of the `SubstConstants` class, which is used in the larger project to substitute constants in a Sigma protocol script. \n\nThe `SubstConstants` class takes three arguments: `scriptBytes`, `positions`, and `newValues`. `scriptBytes` is a byte array representing the original script, `positions` is an array of integers representing the positions of the constants to be substituted, and `newValues` is an array of new values to replace the constants at the specified positions. \n\nThe `SubstConstantsSerializer` object provides two methods: `serialize` and `parse`. The `serialize` method takes an instance of `SubstConstants` and a `SigmaByteWriter` object, and writes the values of `scriptBytes`, `positions`, and `newValues` to the writer using the `putValue` method. The `parse` method takes a `SigmaByteReader` object and reads the values of `scriptBytes`, `positions`, and `newValues` from the reader using the `getValue` method, and returns a new instance of `SubstConstants` with these values. \n\nThis object is used in the larger project to enable the substitution of constants in a Sigma protocol script. For example, if a script contains the constant value `5` at position `2`, and we want to replace it with the value `10`, we can create a new instance of `SubstConstants` with `scriptBytes` set to the original script, `positions` set to `[2]`, and `newValues` set to `[10]`. We can then serialize this instance using the `SubstConstantsSerializer` object and send it over the network. On the receiving end, we can deserialize the byte array using the `SubstConstantsSerializer` object and use the resulting `SubstConstants` instance to substitute the constants in the original script.\n## Questions: \n 1. What is the purpose of the `SubstConstants` class and how is it used in the project?\n - The `SubstConstants` class is used to substitute constant values in a script with new values. This code provides serialization and parsing methods for `SubstConstants` objects.\n2. What is the role of the `ValueSerializer` trait and how does it relate to `SubstConstantsSerializer`?\n - The `ValueSerializer` trait is a serialization interface for values in the Sigma protocol. `SubstConstantsSerializer` is an implementation of this trait specifically for `SubstConstants` objects.\n3. What is the format of the serialized `SubstConstants` object and how is it parsed?\n - The `SubstConstants` object is serialized by writing its `scriptBytes`, `positions`, and `newValues` fields to a `SigmaByteWriter`. It is parsed by reading these fields from a `SigmaByteReader` and constructing a new `SubstConstants` object with them.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.md"}}],["319",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing TaggedVariable objects. The TaggedVariableSerializer class is a subclass of ValueSerializer and takes a constructor function as a parameter. This constructor function is used to create a new TaggedVariable object during deserialization.\n\nThe TaggedVariable class is a subclass of Value and represents a variable with a unique identifier and a type. The purpose of this serializer is to convert TaggedVariable objects into a byte stream that can be transmitted over a network or stored in a file. The serialized data can then be deserialized back into TaggedVariable objects.\n\nThe serialize method takes a TaggedVariable object and a SigmaByteWriter object as parameters. It writes the variable identifier and type to the SigmaByteWriter object using the put method. The parse method takes a SigmaByteReader object as a parameter and reads the variable identifier and type from it. It then uses the constructor function to create a new TaggedVariable object with the read identifier and type.\n\nThis serializer can be used in the larger Sigmastate project to serialize and deserialize TaggedVariable objects. For example, if the project needs to transmit TaggedVariable objects over a network, it can use this serializer to convert the objects into a byte stream that can be transmitted. On the receiving end, the byte stream can be deserialized back into TaggedVariable objects using this serializer.\n## Questions: \n 1. What is the purpose of the `TaggedVariableSerializer` class?\n- The `TaggedVariableSerializer` class is a serializer for `TaggedVariable` objects, which are variables with an associated identifier and type.\n\n2. What is the `opDesc` method used for?\n- The `opDesc` method is used to specify the operation description for the `TaggedVariable` object.\n\n3. What is the `parse` method doing?\n- The `parse` method is reading a `TaggedVariable` object from a byte stream using a `SigmaByteReader`, and constructing a new `Value` object using the `cons` constructor function.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.md"}}],["320",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.scala)\n\nThe `TupleSerializer` class is a part of the `sigmastate.serialization` package and is responsible for serializing and deserializing tuples in the Sigma protocol. A tuple is a collection of values of different types that can be used to represent complex data structures. The `TupleSerializer` takes a sequence of values and returns a serialized tuple that can be transmitted over the network or stored in a database.\n\nThe `TupleSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all values in the Sigma protocol. It overrides the `serialize` and `parse` methods to provide custom serialization and deserialization logic for tuples. The `cons` parameter is a function that takes a sequence of values and returns a tuple. This function is used to construct a tuple from the deserialized values.\n\nThe `serialize` method takes a tuple object and a `SigmaByteWriter` object and writes the serialized tuple to the writer. It first writes the number of items in the tuple using the `putUByte` method of the writer. It then iterates over each item in the tuple and writes it to the writer using the `putValue` method of the writer.\n\nThe `parse` method takes a `SigmaByteReader` object and reads the serialized tuple from the reader. It first reads the number of items in the tuple using the `getByte` method of the reader. It then creates a new array of values with the given size using the `safeNewArray` method. It then iterates over each item in the tuple and reads it from the reader using the `getValue` method of the reader. Finally, it constructs a tuple from the deserialized values using the `cons` function.\n\nOverall, the `TupleSerializer` class provides a way to serialize and deserialize tuples in the Sigma protocol. It can be used in the larger project to transmit and store complex data structures that are represented as tuples. Here is an example of how to use the `TupleSerializer` class to serialize and deserialize a tuple:\n\n```\nval tuple = Tuple(IntConstant(1), BooleanConstant(true), ByteArrayConstant(Array[Byte](1, 2, 3)))\nval writer = new SigmaByteWriter()\nTupleSerializer.serialize(tuple, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = TupleSerializer.parse(reader).asInstanceOf[Tuple]\n```\n## Questions: \n 1. What is the purpose of the `TupleSerializer` class?\n- The `TupleSerializer` class is a custom serializer for serializing and deserializing `Tuple` values in the `sigmastate` library.\n\n2. What is the `cons` parameter in the `TupleSerializer` constructor?\n- The `cons` parameter is a function that takes a sequence of `Value[SType]` objects and returns a `Value[SType]` object. It is used to construct a new `Tuple` value from the deserialized items.\n\n3. What is the purpose of the `numItemsInfo` and `itemInfo` variables?\n- The `numItemsInfo` variable is a `DataInfo` object that provides metadata about the number of items in the tuple during serialization. The `itemInfo` variable is a `DataInfo` object that provides metadata about each item in the tuple during serialization.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.md"}}],["321",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for two-argument operations in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of blockchain technology. The purpose of this code is to provide a way to serialize and deserialize two-argument operations in the SigmaState language.\n\nThe code defines a case class called TwoArgumentsSerializer, which takes three type parameters: LIV, RIV, and OV. LIV and RIV represent the types of the left and right arguments of the operation, respectively, while OV represents the type of the output value of the operation. The case class extends ValueSerializer[OV], which is a trait that defines methods for serializing and deserializing values of type OV.\n\nThe TwoArgumentsSerializer class has a constructor that takes two arguments: an instance of a TwoArgumentOperationCompanion, which provides information about the operation being serialized, and a constructor function that takes two values of type LIV and RIV and returns a value of type OV. The class also has two fields, leftInfo and rightInfo, which are instances of the DataInfo class and provide information about the types of the left and right arguments of the operation.\n\nThe TwoArgumentsSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes an object of type OV and a SigmaByteWriter and writes the serialized representation of the object to the writer. The method first casts the object to a TwoArgumentsOperation[LIV, RIV, LIV], which is a subtype of OV that represents a two-argument operation. It then writes the serialized representation of the left and right arguments of the operation to the writer using the putValue method of the SigmaByteWriter class.\n\nThe parse method takes a SigmaByteReader and reads the serialized representation of a value of type OV from the reader. The method first reads the serialized representation of the left and right arguments of the operation using the getValue method of the SigmaByteReader class. It then calls the constructor function with the deserialized left and right arguments to create a new value of type OV.\n\nOverall, this code provides a way to serialize and deserialize two-argument operations in the SigmaState language, which is an important part of the larger project of building secure and privacy-preserving smart contracts on top of blockchain technology. Here is an example of how this code might be used in the larger project:\n\n```\nval op = Plus(LONG, LONG) // create a two-argument operation that adds two long values\nval serializer = TwoArgumentsSerializer(op, (left, right) => left + right) // create a serializer for the operation\nval writer = new SigmaByteWriter() // create a writer for the serialized representation\nserializer.serialize(op, writer) // serialize the operation using the serializer and writer\nval reader = new SigmaByteReader(writer.toBytes) // create a reader for the serialized representation\nval deserializedOp = serializer.parse(reader) // deserialize the operation using the serializer and reader\nassert(deserializedOp == op) // check that the deserialized operation is equal to the original operation\n```\n## Questions: \n 1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for two-argument operations in the Sigmastate language. It allows for the serialization and deserialization of these operations for use in the project.\n\n2. What is the significance of the type parameters LIV, RIV, and OV?\n- LIV and RIV represent the left and right input types of the two-argument operation, while OV represents the output type. These type parameters are used to ensure type safety and correctness in the serialization process.\n\n3. How does the constructor parameter relate to the serialization process?\n- The constructor parameter is used to create a new instance of the two-argument operation from the deserialized input values. It is necessary for the deserialization process to be able to reconstruct the original operation.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.md"}}],["322",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.scala)\n\nThe `TypeSerializer` object provides serialization and deserialization functionality for types in the `sigmastate` package. The purpose of this code is to enable efficient encoding and decoding of types in the Ergo platform. \n\nThe `TypeSerializer` object contains two main methods: `serialize` and `deserialize`. The `serialize` method takes an `SType` object and a `SigmaByteWriter` object as input, and writes the serialized form of the type to the writer. The `deserialize` method takes a `SigmaByteReader` object as input, and reads the serialized form of a type from the reader and returns the corresponding `SType` object.\n\nThe `TypeSerializer` object also defines a number of constants and helper methods that are used in the serialization and deserialization process. For example, the `embeddableIdToType` array maps integer codes to embeddable types, which are types that can be combined with a type constructor for optimized encoding. The `getEmbeddableType` method takes an integer code as input and returns the corresponding embeddable type.\n\nThe `serialize` method handles different types of `SType` objects in different ways. For example, if the input type is an `SEmbeddable` type, the method writes the type code to the writer. If the input type is an `SCollectionType`, the method writes the collection type code to the writer and recursively calls `serialize` on the element type. If the input type is an `STuple`, the method writes the tuple type code to the writer and recursively calls `serialize` on each element type.\n\nThe `deserialize` method reads the type code from the reader and uses it to determine the type of the serialized object. It then constructs and returns the corresponding `SType` object. The method handles different types of type codes in different ways, similar to the `serialize` method.\n\nOverall, the `TypeSerializer` object is an important component of the Ergo platform that enables efficient encoding and decoding of types. It is used extensively throughout the platform to serialize and deserialize types for storage and transmission.\n## Questions: \n 1. What is the purpose of the `TypeSerializer` object?\n- The `TypeSerializer` object is responsible for serializing and deserializing types according to the specification in `TypeSerialization.md`.\n\n2. What types can be represented by a single byte in the `embeddableIdToType` array?\n- The `embeddableIdToType` array contains embeddable types such as `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SBigInt`, `SGroupElement`, and `SSigmaProp` that can be combined with a type constructor for optimized encoding.\n\n3. How are tuple types with more than 4 items serialized?\n- Tuple types with more than 4 items are serialized by calling the `serializeTuple` method, which writes the tuple type code, the number of items in the tuple, and then recursively serializes each item in the tuple.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.md"}}],["323",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.scala)\n\nThe ValDefSerializer class is responsible for serializing and deserializing ValDef objects, which represent variable definitions in the Sigma programming language. This class extends the ValueSerializer class and takes a ValueCompanion object as a parameter. \n\nThe serialize method takes a ValDef object and a SigmaByteWriter object as parameters. It first writes the id of the ValDef object to the writer. Then, if the opcode is FunDefCode, it writes the type arguments of the ValDef object to the writer. The type arguments are written as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method writes the right-hand side of the ValDef object to the writer.\n\nThe parse method takes a SigmaByteReader object as a parameter and returns a Value object of type SType. It first reads the id of the ValDef object from the reader. Then, if the opcode is FunDefCode, it reads the type arguments of the ValDef object from the reader. The type arguments are read as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method reads the right-hand side of the ValDef object from the reader and creates a new ValDef object with the id, type arguments, and right-hand side.\n\nOverall, the ValDefSerializer class is an important component of the serialization process for ValDef objects in the Sigma programming language. It allows for the efficient transfer of ValDef objects between different parts of the larger project, such as between nodes in a distributed system. Here is an example of how the ValDefSerializer class might be used in the larger project:\n\n```\nval myValDef = ValDef(1, Seq(STypeInt), IntConstant(42))\nval serializer = ValDefSerializer(FunDef)\nval writer = new SigmaByteWriter()\nserializer.serialize(myValDef, writer)\nval bytes = writer.toBytes\n\n// ... transfer bytes to another part of the project ...\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader)\nassert(deserialized == myValDef)\n```\n## Questions: \n 1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for ValDef objects in the Sigmastate library, which are used to represent values in the Sigma protocol. The serializer is responsible for converting ValDef objects to and from bytes for storage and transmission.\n\n2. What other classes or functions does this code interact with?\n \n This code imports several classes and functions from the Sigmastate library, including ValueCompanion, ValueSerializer, SigmaByteReader, SigmaByteWriter, ValueSerializer, and safeNewArray. It also references several OpCodes defined in the same package.\n\n3. What is the expected format of the input and output data for this code?\n \n This code expects to receive ValDef objects as input, which contain an ID, type arguments, and a right-hand side value. It outputs bytes that represent the serialized ValDef object, and can also parse bytes back into a ValDef object. The format of the input and output data is specified by the SigmaByteReader and SigmaByteWriter classes.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.md"}}],["324",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.scala)\n\nThe ValDefTypeStore class is a data structure used to store and retrieve SType objects. SType is a type hierarchy used in the Sigma protocol, which is a cryptographic protocol for secure transactions. \n\nThe ValDefTypeStore class uses a mutable Map to store SType objects, with the keys being integers and the values being SType objects. The apply method is used to retrieve an SType object from the store by its corresponding integer key. The update method is used to add or update an SType object in the store, with the integer key being provided as the first argument and the SType object being provided as the second argument.\n\nThis class may be used in the larger project to store and retrieve SType objects for use in the Sigma protocol. For example, if a new SType object is created during the execution of the protocol, it can be added to the ValDefTypeStore using the update method. Later on, if the SType object is needed again, it can be retrieved from the ValDefTypeStore using the apply method.\n\nHere is an example of how the ValDefTypeStore class might be used:\n\n```\nval store = new ValDefTypeStore()\nval tpe = SType.SInt\nstore.update(1, tpe)\nval retrievedTpe = store(1)\nassert(retrievedTpe == tpe)\n```\n\nIn this example, a new ValDefTypeStore object is created and an SInt object is added to the store with an integer key of 1 using the update method. The SInt object is then retrieved from the store using the apply method and stored in the retrievedTpe variable. Finally, an assertion is made to ensure that the retrieved SInt object is equal to the original SInt object.\n## Questions: \n 1. What is the purpose of the ValDefTypeStore class?\n - The ValDefTypeStore class is used to store and retrieve SType objects based on their associated integer IDs.\n\n2. How are SType objects added to the store?\n - SType objects are added to the store by calling the update method with an integer ID and the SType object to be stored.\n\n3. Is the store thread-safe?\n - It is not clear from the code whether the store is thread-safe or not. Additional information or analysis would be needed to determine this.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.md"}}],["325",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing ValUse objects. ValUse is a class that represents the use of a previously defined value in a Sigma protocol script. The purpose of this code is to provide a way to convert ValUse objects to and from bytes so that they can be transmitted over a network or stored in a database.\n\nThe ValUseSerializer class is a subclass of ValueSerializer, which is a generic serializer for all types of Sigma protocol values. The constructor of ValUseSerializer takes a function that creates a new instance of a Value object given an ID and a type. This function is used to deserialize ValUse objects.\n\nThe serialize method of ValUseSerializer takes a ValUse object and a SigmaByteWriter object and writes the ID of the referenced value to the writer. The parse method of ValUseSerializer takes a SigmaByteReader object and reads the ID of the referenced value from the reader. It then looks up the type of the referenced value in a type store and uses the constructor function to create a new ValUse object.\n\nThis code can be used in the larger Sigmastate project to serialize and deserialize ValUse objects in various contexts. For example, it can be used to transmit ValUse objects between nodes in a distributed Sigma protocol network or to store them in a database for later use. Here is an example of how this code can be used to serialize and deserialize a ValUse object:\n\n```\nval valUse = ValUse(42)\nval serializer = ValUseSerializer((id, tpe) => ValUse(id))\nval writer = new SigmaByteWriter()\nserializer.serialize(valUse, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserializedValUse = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for a type called `ValUse[SType]` which is used to serialize and deserialize instances of this type.\n\n2. What is the significance of the `cons` parameter in the `ValUseSerializer` case class?\n - The `cons` parameter is a function that takes an integer and an `SType` and returns a `Value[SType]`. It is used to construct instances of `ValUse[SType]` during deserialization.\n\n3. What is the role of the `opDesc` method in the `ValUseSerializer` class?\n - The `opDesc` method returns the `ValUse` object, which is used to identify this serializer as the one to use for `ValUse` objects.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.md"}}],["326",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.scala)\n\nThe `ValueSerializer` is a part of the SigmaState project and is responsible for serializing and deserializing Sigma protocol values. It is an essential component for handling data serialization and deserialization in the Ergo platform, which is a blockchain-based platform that supports smart contracts.\n\nThe `ValueSerializer` class is an abstract class that extends the `SigmaSerializer` trait. It provides methods for serializing and deserializing values of type `Value[SType]`. The `ValueSerializer` object is a companion object that implements the `SigmaSerializerCompanion` trait and provides a collection of serializers for various types of values.\n\nThe `serializers` field is a `SparseArrayContainer` that holds a sequence of `ValueSerializer` instances for different types of values. These serializers are responsible for handling specific types of values, such as constants, tuples, relations, and various operations (e.g., arithmetic, bitwise, logical, etc.).\n\nThe `ValueSerializer` object also provides utility methods for handling optional values, cases, and loops during serialization and deserialization. These methods help in managing the complexity of the serialization process and make it easier to handle different types of values.\n\nThe `serialize` and `deserialize` methods are the main entry points for serialization and deserialization. The `serialize` method takes a `Value[SType]` and a `SigmaByteWriter` as input and writes the serialized value to the writer. The `deserialize` method takes a `SigmaByteReader` as input and reads the serialized value from the reader, returning a `Value[SType]`.\n\nHere's an example of how to use the `ValueSerializer`:\n\n```scala\nimport sigmastate.Values._\nimport sigmastate.serialization.ValueSerializer\n\nval value: Value[SType] = ... // some value\nval serialized: Array[Byte] = ValueSerializer.serialize(value)\nval deserialized: Value[SType] = ValueSerializer.deserialize(serialized)\n```\n\nIn summary, the `ValueSerializer` is a crucial component in the SigmaState project for handling the serialization and deserialization of Sigma protocol values. It provides a collection of serializers for various types of values and utility methods for managing the complexity of the serialization process.\n## Questions: \n 1. **Question**: What is the purpose of the `ValueSerializer` class and its subclasses?\n **Answer**: The `ValueSerializer` class is an abstract class that provides serialization and deserialization functionality for `Value[SType]` objects. Its subclasses are responsible for implementing the specific serialization and deserialization logic for different types of `Value[SType]` objects.\n\n2. **Question**: How does the `ValueSerializer` handle the serialization of constants and placeholders?\n **Answer**: The `ValueSerializer` handles the serialization of constants and placeholders by using the `constantSerializer` and `constantPlaceholderSerializer` instances. When serializing a value, it checks if the value is a constant or a placeholder and uses the appropriate serializer to serialize it.\n\n3. **Question**: How does the `ValueSerializer` manage the complexity of the serialized objects?\n **Answer**: The `ValueSerializer` manages the complexity of the serialized objects by using the `getComplexity` method, which returns the complexity value for the corresponding operation code. The `complexity` value is then added to the `SigmaByteReader` or `SigmaByteWriter` to keep track of the total complexity during serialization and deserialization.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.md"}}],["327",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the Append operation in the SigmaState project. The Append operation is used to concatenate two collections of the same type into a single collection. This serializer is responsible for converting an Append object into a byte stream that can be transmitted over a network or stored in a file.\n\nThe code imports several classes and objects from the SigmaState project, including AppendInfo, Value, SCollection, SType, and ValueSerializer. It also defines a case class called AppendSerializer that extends the ValueSerializer class and takes a constructor argument of type (Value[SCollection[SType]], Value[SCollection[SType]]) => Value[SCollection[SType]]. This constructor argument is a function that takes two collections of the same type and returns a new collection that is the concatenation of the two input collections.\n\nThe AppendSerializer class overrides two methods from the ValueSerializer class: opDesc and serialize. The opDesc method returns the Append object, which is the operation being serialized. The serialize method takes an Append object and a SigmaByteWriter object and writes the input and col2 collections to the byte stream using the putValue method of the SigmaByteWriter object.\n\nThe AppendSerializer class also defines a parse method that takes a SigmaByteReader object and returns a collection of the same type as the input and col2 collections. This method reads the input and col2 collections from the byte stream using the getValue method of the SigmaByteReader object and passes them to the constructor function defined in the AppendSerializer constructor.\n\nOverall, this serializer is an important component of the SigmaState project, as it allows Append objects to be transmitted and stored in a serialized format. It can be used in conjunction with other serializers and deserializers to enable the SigmaState system to communicate with other systems and store data in a variety of formats. An example of using this serializer might be in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection.\n## Questions: \n 1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for the `Append` operation in the `sigmastate.utxo` package. It allows for serialization and deserialization of `Append` objects to and from bytes.\n\n2. What is the `cons` parameter in the `AppendSerializer` case class and how is it used?\n- The `cons` parameter is a function that takes two `Value[SCollection[SType]]` objects and returns a new `Value[SCollection[SType]]` object. It is used in the `parse` method to construct a new `Value[SCollection[SType]]` object from the parsed input and col2 values.\n\n3. What is the purpose of the `opDesc` method in the `AppendSerializer` class?\n- The `opDesc` method returns the `Append` object, which is the operation that this serializer is designed to handle. It is used to ensure that the correct serializer is used for a given operation.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.md"}}],["328",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the AtLeast operation in the SigmaState project. The AtLeast operation is used to create a SigmaPropValue that represents a threshold signature scheme. It requires a minimum number of signatures from a collection of SigmaPropValues to be valid. \n\nThe AtLeastSerializer class takes a constructor that accepts a function that creates a SigmaPropValue from a bound value and a collection of SigmaPropValues. This function is used to deserialize the AtLeast operation from bytes. The class extends the ValueSerializer trait, which provides methods for serializing and deserializing values.\n\nThe serialize method takes an AtLeast object and a SigmaByteWriter and writes the bound and input values to the writer. The parse method takes a SigmaByteReader and reads the bound and input values from it. It then calls the constructor function to create a SigmaPropValue from the deserialized values.\n\nThis serializer is used in the larger SigmaState project to serialize and deserialize AtLeast operations. It allows AtLeast operations to be transmitted over the network or stored in a database. Here is an example of how the serializer can be used:\n\n```\nval atLeast = AtLeast(2, Seq(sigmaProp1, sigmaProp2, sigmaProp3))\nval serializer = AtLeastSerializer((bound, input) => AtLeast(bound, input))\nval bytes = serializer.toBytes(atLeast)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, an AtLeast object is created with a bound of 2 and a collection of three SigmaPropValues. The AtLeastSerializer is then used to serialize the object to bytes and deserialize it back to an AtLeast object. The constructor function passed to the serializer simply creates a new AtLeast object from the deserialized values.\n## Questions: \n 1. What is the purpose of the AtLeastSerializer class?\n - The AtLeastSerializer class is a ValueSerializer for the AtLeast operation in the Sigma protocol, which serializes and deserializes AtLeast objects.\n\n2. What is the input format for the serialize method?\n - The serialize method takes an AtLeast object and a SigmaByteWriter as input.\n\n3. What is the output format for the parse method?\n - The parse method returns a SigmaPropValue object, which is constructed using the bound and input values obtained from the SigmaByteReader.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.md"}}],["329",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for the `BooleanTransformer` class, which is used to transform a collection of values of a certain type `T` into a boolean value based on a given condition. \n\nThe `BooleanTransformerSerializer` class takes in a `BooleanTransformerCompanion` object and a function `f` that takes in a collection of values of type `T` and a function that returns a boolean value. It then extends the `ValueSerializer` class and provides implementations for the `serialize` and `parse` methods. \n\nThe `serialize` method takes in an instance of the `BooleanTransformer` class and a `SigmaByteWriter` object and writes the input and condition values of the transformer to the writer using the `putValue` method. \n\nThe `parse` method takes in a `SigmaByteReader` object and reads the input and condition values of the transformer from the reader using the `getValue` method. It then applies the `f` function to the input and condition values to obtain a boolean value. \n\nThis serializer can be used in the larger Sigmastate project to serialize and deserialize instances of the `BooleanTransformer` class, which can be used in various parts of the project to transform collections of values into boolean values based on a given condition. \n\nExample usage of this serializer could be as follows:\n\n```\nval transformer = BooleanTransformer(input, condition)\nval serializer = BooleanTransformerSerializer(BooleanTransformer, (input, condition) => transformer.f(input, condition))\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of the `BooleanTransformer` class and how is it used in the project?\n - The `BooleanTransformer` class is used in the project to represent a boolean expression that can be applied to a collection of values. It is serialized and deserialized using the `BooleanTransformerSerializer` class.\n2. What is the significance of the `opDesc` parameter in the `BooleanTransformerSerializer` constructor?\n - The `opDesc` parameter is a companion object for the `BooleanTransformer` class that provides information about the arguments required to construct a `BooleanTransformer` instance.\n3. How does the `parse` method in the `BooleanTransformerSerializer` class deserialize a `BooleanTransformer` instance?\n - The `parse` method reads the serialized input and condition values from a `SigmaByteReader` and applies the `f` function to create a new `BooleanTransformer` instance.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.md"}}],["330",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide serialization and deserialization functionality for the `ByIndex` operation in the Sigmastate language. \n\nThe `ByIndex` operation is used to retrieve an element from a collection by its index. The `ByIndexSerializer` class is responsible for serializing and deserializing instances of the `ByIndex` operation. It takes a constructor function as a parameter that is used to create a new instance of the `ByIndex` operation during deserialization.\n\nThe `ByIndexSerializer` class extends the `ValueSerializer` class, which is a base class for all value serializers in Sigmastate. It provides two methods for serialization and deserialization: `serialize` and `parse`. The `serialize` method takes an instance of the `ByIndex` operation and a `SigmaByteWriter` object and writes the serialized data to the writer. The `parse` method takes a `SigmaByteReader` object and returns a new instance of the `ByIndex` operation.\n\nThe `ByIndexSerializer` class also defines three `DataInfo` objects for the input, index, and default arguments of the `ByIndex` operation. These objects are used to provide additional information about the serialized data, such as its type and size.\n\nHere is an example of how the `ByIndexSerializer` class can be used to serialize and deserialize a `ByIndex` operation:\n\n```\nval input = SCollection(SInt)(Seq(1, 2, 3))\nval index = SInt(1)\nval default = None\nval byIndex = ByIndex(input, index, default)\n\nval serializer = ByIndexSerializer(ByIndex.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(byIndex, writer)\n\nval reader = new SigmaByteReader(writer.toBytes)\nval parsedByIndex = serializer.parse(reader)\n``` \n\nIn this example, we create a new instance of the `ByIndex` operation with an input collection of integers, an index of 1, and no default value. We then create a new instance of the `ByIndexSerializer` class and use it to serialize the `ByIndex` operation to a `SigmaByteWriter` object. Finally, we use the same serializer to deserialize the serialized data from a `SigmaByteReader` object and obtain a new instance of the `ByIndex` operation.\n## Questions: \n 1. What is the purpose of this code and what problem does it solve?\n- This code defines a serializer for the ByIndex operation in the Sigma state language, which allows for retrieving an element from a collection by its index. The serializer enables the operation to be serialized and deserialized for use in the Sigma protocol.\n\n2. What are the input and output types for the ByIndex operation?\n- The input type is a collection of some Sigma type (SCollection[SType]), and the output type is a single element of the same Sigma type (SType).\n\n3. What is the significance of the \"default\" argument in the ByIndexSerializer case class?\n- The \"default\" argument is an optional default value to return if the requested index is out of bounds for the input collection. If no default value is provided, an exception will be thrown instead.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.md"}}],["331",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the `DeserializeContext` class in the `sigmastate.utxo` package. This class is used to deserialize a script context from a byte array. The `DeserializeContextSerializer` class takes a constructor function that creates a new instance of the `Value` class with the given type and ID. \n\nThe purpose of this serializer is to convert a `DeserializeContext` object into a byte array that can be transmitted over a network or stored in a database. The `serialize` method takes a `DeserializeContext` object and a `SigmaByteWriter` object, and writes the type and ID of the deserialized script to the writer. The `parse` method reads the type and ID from a `SigmaByteReader` object and returns a new instance of the `Value` class with the given type and ID.\n\nThis serializer is used in the larger project to enable the serialization and deserialization of script contexts in the UTXO (Unspent Transaction Output) model. The UTXO model is a way of representing the state of a blockchain by keeping track of all unspent transaction outputs. The script context contains information about the current state of the blockchain, such as the current block height and the balances of all addresses. By serializing and deserializing the script context, it can be transmitted between nodes in the network or stored in a database.\n\nHere is an example of how this serializer might be used in the larger project:\n\n```scala\nval context = new DeserializeContext[SType](byteArray, expectedType)\nval serializer = new DeserializeContextSerializer((id: Byte, tpe: SType) => new Value[SType](id, tpe))\nval serializedContext = serializer.serialize(context, new SigmaByteWriter())\n```\n\nIn this example, a new `DeserializeContext` object is created with a byte array and an expected type. The `DeserializeContextSerializer` is then used to serialize the context into a byte array. The resulting `serializedContext` can be transmitted over a network or stored in a database.\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for deserializing a context with a specified expected type of a script.\n2. What is the input and output of the `serialize` method?\n - The input is an object of type `DeserializeContext[SType]` and a `SigmaByteWriter`. The output is `Unit`.\n3. What is the purpose of the `cons` parameter in the `DeserializeContextSerializer` case class?\n - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value[SType]`. It is used in the `parse` method to construct the deserialized context.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.md"}}],["332",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the `DeserializeRegister` operation in the `sigmastate.utxo` package. This operation is used to deserialize a value from a register in an `ErgoBox`, which is a data structure used in the Ergo blockchain platform. The purpose of this serializer is to convert instances of `DeserializeRegister` into bytes for storage or transmission, and to parse those bytes back into instances of `DeserializeRegister`.\n\nThe `DeserializeRegisterSerializer` class takes a constructor argument `cons` which is a function that creates a new instance of `Value[SType]` given a `RegisterId`, an `SType`, and an optional default value. This function is used in the `parse` method to create a new `Value[SType]` from the deserialized data.\n\nThe `serialize` method takes an instance of `DeserializeRegister[SType]` and a `SigmaByteWriter` and writes the serialized bytes to the writer. The serialized bytes consist of the register number, the expected type of the deserialized script, and an optional default value. The `parse` method takes a `SigmaByteReader` and reads the serialized bytes to create a new instance of `Value[SType]`. It does this by reading the register number, the type, and the default value (if present) from the reader, and then calling the `cons` function to create a new `Value[SType]`.\n\nOverall, this serializer is an important component of the larger project because it allows instances of `DeserializeRegister` to be stored and transmitted as bytes. This is necessary for the operation to be used in the Ergo blockchain platform, where data must be serialized and deserialized for storage and transmission. An example of how this serializer might be used in the larger project is shown below:\n\n```\nval regId = RegisterId.R4\nval tpe = SType.SLong\nval defaultValue = Some(LongConstant(0))\nval deserializeReg = DeserializeRegister(regId, tpe, defaultValue)\nval serializer = DeserializeRegisterSerializer((regId, tpe, defaultValue) => LongConstant(0))\nval bytes = serializer.toBytes(deserializeReg)\nval deserializedReg = serializer.parseBytes(bytes)\n```\n## Questions: \n 1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a specific type of operation called `DeserializeRegister` in the `sigmastate.utxo` package. It is used to serialize and deserialize data related to this operation.\n\n2. What are the inputs and outputs of the `parse` method?\n- The `parse` method takes in a `SigmaByteReader` object and returns a `Value[SType]` object. It reads in data from the byte reader and constructs a `Value` object using the `cons` function provided in the constructor.\n\n3. What is the significance of the `wasDeserialize` flag being marked as true?\n- The `wasDeserialize` flag is used to indicate whether or not the `parse` method has been called during deserialization. This is important because it prevents infinite recursion when deserializing nested objects.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.md"}}],["333",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala)\n\nThe code above defines a serializer for the ExtractRegisterAs operation in the SigmaState language. This operation is used to extract a value from a register in an ErgoBox, which is a data structure used in the Ergo blockchain. The purpose of this serializer is to convert an ExtractRegisterAs object into a byte array that can be transmitted over the network or stored on disk.\n\nThe ExtractRegisterAsSerializer class takes a constructor argument that is a function which creates a new ExtractRegisterAs object from a box, register ID, and optional type. This function is used in the parse method to create a new ExtractRegisterAs object from the serialized data.\n\nThe serialize method takes an ExtractRegisterAs object and a SigmaByteWriter object as input. It first writes the input value to the byte array using the thisArg DataInfo object. It then writes the register ID to the byte array using the regIdArg DataInfo object. Finally, it writes the expected type of the value in the register to the byte array using the typeInfo ArgInfo object.\n\nThe parse method takes a SigmaByteReader object as input and reads the serialized data from it. It first reads the input value from the byte array using the getValue method. It then reads the register ID from the byte array using the getByte method. It uses the ErgoBox.findRegisterByIndex method to find the register in the box with the given ID. Finally, it reads the expected type of the value from the byte array using the getType method and uses the constructor function to create a new ExtractRegisterAs object.\n\nOverall, this code is an important part of the serialization process for the ExtractRegisterAs operation in the SigmaState language. It allows for the efficient transmission and storage of this operation in the Ergo blockchain.\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for the ExtractRegisterAs operation in the Sigma state language, which extracts a value from a register in an ErgoBox.\n\n2. What other classes or packages does this code depend on?\n - This code depends on classes from the org.ergoplatform and sigmastate packages, as well as the sigmastate.utxo and sigmastate.utils packages.\n\n3. What is the expected format of the input and output for this serializer?\n - The input is an ExtractRegisterAs object with a specified input, register ID, and expected type. The output is a serialized version of this object that can be parsed back into a Value[SType].","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.md"}}],["334",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is responsible for serializing and deserializing a Filter object. The Filter object is used in the context of the UTXO (Unspent Transaction Output) model, which is a way of representing the state of a blockchain. The purpose of the Filter object is to filter a collection of UTXOs based on a given condition.\n\nThe FilterSerializer class is a custom serializer for the Filter object. It takes a constructor function as a parameter, which is used to create a new Filter object during deserialization. The serialize method takes a Filter object and a SigmaByteWriter object as input and writes the input and condition values of the Filter object to the writer. The parse method takes a SigmaByteReader object as input and reads the input and condition values from the reader. It then uses the constructor function to create a new Filter object with the parsed values.\n\nHere is an example of how the FilterSerializer class can be used in the larger project:\n\n```scala\nimport sigmastate.utxo.Filter\n\nval filter = Filter(input, condition)\nval serializer = FilterSerializer((input, condition) => Filter(input, condition))\n\nval writer = new SigmaByteWriter()\nserializer.serialize(filter, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval parsedFilter = serializer.parse(reader)\n```\n\nIn the example above, a new Filter object is created with the input and condition values. The FilterSerializer is then used to serialize the Filter object to a byte array and deserialize it back to a new Filter object. This can be useful when transmitting Filter objects over a network or storing them in a database.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n This code defines a serializer for the `Filter` class in the `sigmastate.utxo` package, which takes in a collection of values and a function and returns a filtered collection of values based on the function.\n\n2. What other classes or packages does this code depend on?\n This code depends on classes and packages from `sigmastate.Values`, `sigmastate.lang.Terms`, `sigmastate.serialization`, `sigmastate.utils`, `sigmastate.utxo`, and `sigmastate`.\n\n3. What is the expected input and output format for the `serialize` and `parse` methods?\n The `serialize` method takes in a `Filter` object and a `SigmaByteWriter` object and outputs a serialized version of the `Filter` object. The `parse` method takes in a `SigmaByteReader` object and outputs a `Value[SCollection[SType]]` object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.md"}}],["335",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the Fold operation in the SigmaState project. SigmaState is a smart contract language that allows for the creation of secure and efficient contracts on blockchain platforms. The Fold operation is used to reduce a collection of elements to a single value using a binary operation. \n\nThe FoldSerializer class takes in a constructor that accepts three arguments: a collection of SType values, a single SType value, and a function that takes two SType values and returns a single SType value. These arguments are used to create a Fold object that represents the Fold operation. \n\nThe serializer implements the ValueSerializer trait and overrides its methods to serialize and parse the Fold object. The serialize method takes in a Fold object and a SigmaByteWriter object and writes the input, zero, and foldOp values of the Fold object to the writer. The parse method takes in a SigmaByteReader object and reads the input, zero, and foldOp values from the reader to create a new Fold object. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize Fold objects for use in smart contracts. For example, a smart contract that needs to reduce a collection of values to a single value could use the Fold operation and this serializer to store and retrieve the Fold object on the blockchain. \n\nHere is an example of how the FoldSerializer could be used in a smart contract:\n\n```\nval collection: Value[SCollection[SInt.type]] = ... // collection of integers\nval zero: Value[SInt.type] = ... // initial value for reduction\nval addFunc: Value[SFunc] = ... // function that adds two integers\nval foldOp: Fold[SInt.type, SInt.type] = Fold(collection, zero, addFunc) // create Fold object\nval serializer: FoldSerializer = FoldSerializer(foldOp) // create serializer for Fold object\nval bytes: Array[Byte] = serializer.toBytes // serialize Fold object to bytes\nval deserializer: FoldSerializer = FoldSerializer() // create deserializer for Fold object\nval newFoldOp: Fold[SInt.type, SInt.type] = deserializer.fromBytes(bytes) // deserialize Fold object from bytes\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for the Fold operation in the Sigma programming language.\n2. What input does the `serialize` method take and what output does it produce?\n - The `serialize` method takes a `Fold[SType, SType]` object and a `SigmaByteWriter` object as input, and produces no output (returns `Unit`). It serializes the `Fold` object by writing its `input`, `zero`, and `foldOp` fields to the `SigmaByteWriter`.\n3. What is the purpose of the `cons` parameter in the `FoldSerializer` case class?\n - The `cons` parameter is a function that takes three `Value` objects (of types `SCollection[SType]`, `SType`, and `SFunc`) as input and produces a `Value[SType]` object as output. It is used in the `parse` method to construct a `Fold` object from the serialized data.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.md"}}],["336",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for logical transformers in the Sigmastate language. \n\nA logical transformer is a type of transformer that takes a collection of boolean values as input and returns a single boolean value as output. The `LogicalTransformerSerializer` class is responsible for serializing and deserializing these transformers. \n\nThe `LogicalTransformerSerializer` class takes two type parameters, `I` and `O`, which represent the input and output types of the transformer, respectively. The class also takes two arguments, `opDesc` and `cons`, which are used to construct the transformer. \n\nThe `opDesc` argument is an instance of `LogicalTransformerCompanion`, which provides information about the transformer, such as its name and argument types. The `cons` argument is a function that takes a collection of boolean values as input and returns a single boolean value as output. \n\nThe `LogicalTransformerSerializer` class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing values. The `serialize` method takes a `Transformer[I, O]` object and a `SigmaByteWriter` object as input, and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object as input, reads the serialized form of the transformer from the reader, and returns a `Value[SBoolean.type]` object. \n\nOverall, this code provides a way to serialize and deserialize logical transformers in the Sigmastate language. This functionality can be used in the larger Sigmastate project to enable communication between different parts of the system that use logical transformers. \n\nExample usage:\n\n```\nval transformer = MyLogicalTransformer(arg1, arg2)\nval serializer = LogicalTransformerSerializer(MyLogicalTransformer, transformer.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code?\n This code defines a serializer for a logical transformer that takes a collection of boolean values as input and outputs a single boolean value.\n\n2. What is the role of the `LogicalTransformerCompanion` object?\n The `LogicalTransformerCompanion` object provides information about the logical transformer, including the types of its arguments and the function that it applies.\n\n3. What is the significance of the `DataInfo` object?\n The `DataInfo` object provides information about the type and format of the data that is being serialized or deserialized, which is used to ensure that the data is correctly encoded and decoded.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.md"}}],["337",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala)\n\nThe code above is a Scala class called MapCollectionSerializer, which is responsible for serializing and deserializing instances of the MapCollection class. The MapCollection class is part of the SigmaState library, which is a collection of data structures and algorithms for working with cryptographic protocols.\n\nThe MapCollectionSerializer class takes a constructor argument called cons, which is a function that takes two arguments of type Value[SCollection[SType]] and Value[SFunc], and returns a Value[SType]. This function is used to create new instances of the MapCollection class during deserialization.\n\nThe class extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of MapCollection and a SigmaByteWriter object, and writes the input and mapper values of the MapCollection to the writer. The parse method takes a SigmaByteReader object, reads the input and mapper values from the reader, and uses the cons function to create a new instance of MapCollection.\n\nThe MapCollection class represents a collection of elements that have been transformed by a mapping function. It is used in the SigmaState library to implement various cryptographic protocols, such as zero-knowledge proofs and secure multi-party computation. The MapCollectionSerializer class is used to serialize and deserialize instances of MapCollection, which allows them to be transmitted over a network or stored in a database.\n\nHere is an example of how the MapCollection class might be used in a larger project:\n\n```\nval input = SCollection[Int](Seq(1, 2, 3))\nval mapper = SFunc[Int, Int](x => x * 2)\nval mapCollection = MapCollection(input, mapper)\nval serializer = MapCollectionSerializer((i, f) => MapCollection(i, f))\nval bytes = serializer.toBytes(mapCollection)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, we create a new instance of MapCollection with an input collection of integers and a mapping function that doubles each element. We then create a new instance of MapCollectionSerializer and use it to serialize the MapCollection to a byte array. Finally, we use the serializer to deserialize the byte array back into a MapCollection object.\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for the MapCollection class in the Sigmastate library, which is used to transform a collection of elements using a provided function.\n\n2. What other classes or operations does this code depend on?\n - This code depends on several classes and operations from the Sigmastate library, including Value, SValue, SCollection, SType, SFunc, MapCollection, and MapCollectionInfo.\n\n3. How does the serializer work and what data does it serialize?\n - The serializer works by serializing the input collection and mapper function of a MapCollection object using a SigmaByteWriter. It then deserializes these values using a SigmaByteReader to reconstruct the original MapCollection object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.md"}}],["338",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a specific type of transformer called `NumericCastTransformer`. This transformer is used to cast a value of one numeric type to another numeric type. \n\nThe `NumericCastSerializer` class takes in a `NumericCastCompanion` object and a constructor function that takes in a value of type `Value[SNumericType]` and an `SNumericType` and returns a value of type `Value[SNumericType]`. The `NumericCastCompanion` object provides information about the transformer, such as the argument information and the resulting type of the cast operation.\n\nThe `NumericCastSerializer` class extends the `ValueSerializer` class, which is used to serialize and deserialize values in Sigmastate. It overrides the `serialize` and `parse` methods to handle the serialization and deserialization of `NumericCastTransformer` objects.\n\nThe `serialize` method takes in a `NumericCastTransformer` object and a `SigmaByteWriter` object. It first writes the input value of the transformer to the writer using the `putValue` method and the `inputInfo` object from the `NumericCastCompanion`. It then writes the resulting type of the cast operation to the writer using the `putType` method and the `typeInfo` object.\n\nThe `parse` method takes in a `SigmaByteReader` object and returns a value of type `Value[SNumericType]`. It first reads the input value from the reader using the `getValue` method and casts it to a `NumValue`. It then reads the resulting type of the cast operation from the reader using the `getType` method and casts it to a `NumType`. Finally, it calls the constructor function with the input value and resulting type to create a new value of type `Value[SNumericType]`.\n\nOverall, this code provides a way to serialize and deserialize `NumericCastTransformer` objects in Sigmastate. This can be useful in the larger project for storing and transmitting these objects between different parts of the system. Here is an example of how this serializer might be used:\n\n```\nval transformer = NumericCastTransformer(inputValue, resultingType)\nval serializer = NumericCastSerializer(NumericCastCompanion, transformer)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes()\n// send bytes over network or store in database\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a serializer for a numeric cast transformer in the Sigma state language.\n\n2. What is the input and output of the transformer being serialized?\n- The input and output of the transformer are both values of type SNumericType.\n\n3. What is the significance of the NumericCastCompanion and cons parameters?\n- The NumericCastCompanion parameter provides information about the numeric cast operation being serialized, while the cons parameter is a function that constructs the resulting value of the cast operation.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.md"}}],["339",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala)\n\nThe code above contains two case classes, `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer`, which are used to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple`, respectively. \n\n`ProveDHTuple` is a class that represents a Diffie-Hellman tuple, which consists of four elliptic curve points: `g`, `h`, `u`, and `v`. `CreateProveDHTuple` is an operation that creates a sigma protocol proof of knowledge of a Diffie-Hellman tuple. \n\nThe `ProveDHTupleSerializer` case class takes a constructor function that creates a `ProveDHTuple` instance from four elliptic curve points. It extends the `SigmaSerializer` trait, which defines methods for serializing and deserializing objects. The `serialize` method takes a `ProveDHTuple` instance and a `SigmaByteWriter` and writes the four elliptic curve points to the writer using the `GroupElementSerializer.serialize` method. The `parse` method reads the four elliptic curve points from a `SigmaByteReader` using the `GroupElementSerializer.parse` method and passes them to the constructor function to create a `ProveDHTuple` instance.\n\nThe `CreateProveDHTupleSerializer` case class takes a constructor function that creates a `SigmaPropValue` instance from four `Value[SGroupElement.type]` instances. It extends the `ValueSerializer` trait, which defines methods for serializing and deserializing values. The `serialize` method takes a `CreateProveDHTuple` instance and a `SigmaByteWriter` and writes the four `Value[SGroupElement.type]` instances to the writer using the `putValue` method. The `parse` method reads the four `Value[SGroupElement.type]` instances from a `SigmaByteReader` using the `getValue` method and passes them to the constructor function to create a `SigmaPropValue` instance.\n\nThese case classes are used in the larger project to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple` for storage and transmission. For example, if a `ProveDHTuple` instance needs to be stored in a database, it can be serialized using the `ProveDHTupleSerializer.serialize` method and written to the database. Later, it can be read from the database and deserialized using the `ProveDHTupleSerializer.parse` method. Similarly, if a `CreateProveDHTuple` instance needs to be transmitted over a network, it can be serialized using the `CreateProveDHTupleSerializer.serialize` method and sent over the network. On the receiving end, it can be deserialized using the `CreateProveDHTupleSerializer.parse` method.\n## Questions: \n 1. What is the purpose of the `ProveDHTupleSerializer` class?\n- The `ProveDHTupleSerializer` class is used to serialize and deserialize instances of the `ProveDHTuple` class.\n\n2. What is the difference between the `ProveDHTupleSerializer` and the `CreateProveDHTupleSerializer` classes?\n- The `ProveDHTupleSerializer` is used to serialize and deserialize instances of the `ProveDHTuple` class, while the `CreateProveDHTupleSerializer` is used to serialize and deserialize instances of the `CreateProveDHTuple` class.\n\n3. What is the purpose of the `cons` parameter in both the `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer` classes?\n- The `cons` parameter is a function that is used to construct instances of the `ProveDHTuple` and `CreateProveDHTuple` classes, respectively.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.md"}}],["340",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala)\n\nThe code provided is a Scala implementation of a serializer for a SigmaTransformer, which is a type of data structure used in the Sigmastate project. The purpose of this serializer is to convert a SigmaTransformer object into a byte stream that can be transmitted over a network or stored in a file. The serializer also provides a method to parse the byte stream back into a SigmaTransformer object.\n\nThe SigmaTransformerSerializer class takes two type parameters, I and O, which represent the input and output types of the SigmaTransformer. The class is constructed with a SigmaTransformerCompanion object and a function that takes a sequence of SigmaPropValue objects and returns a SigmaPropValue object. The SigmaTransformerCompanion object provides information about the SigmaTransformer, such as the number and types of arguments it takes.\n\nThe serializer implements the ValueSerializer trait, which requires two methods: serialize and parse. The serialize method takes a SigmaTransformer object and a SigmaByteWriter object and writes the object's items to the writer using the putValues method. The items are obtained from the SigmaTransformer object and are written to the writer using the argInfos and valuesItemInfo methods of the SigmaTransformerCompanion object.\n\nThe parse method takes a SigmaByteReader object and returns a SigmaPropValue object. It first reads the number of items in the byte stream using the getUIntExact method of the reader. It then creates an array of SigmaPropValue objects with the same size as the number of items and reads each item from the byte stream using the getValue method of the reader. Finally, it calls the constructor function with the array of SigmaPropValue objects as an argument to create a new SigmaPropValue object.\n\nThis serializer is an important component of the Sigmastate project as it allows SigmaTransformer objects to be transmitted and stored efficiently. It can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project. An example of how this serializer might be used in the larger project is to serialize a SigmaTransformer object and send it over a network to a remote node for processing.\n## Questions: \n 1. What is the purpose of the `SigmaTransformerSerializer` class?\n- The `SigmaTransformerSerializer` class is a serializer for `SigmaTransformer` instances, which are used to transform `SigmaPropValue` instances.\n\n2. What is the significance of the `opDesc` and `cons` parameters in the `SigmaTransformerSerializer` constructor?\n- The `opDesc` parameter is a `SigmaTransformerCompanion` object that provides information about the `SigmaTransformer` being serialized. The `cons` parameter is a function that takes a sequence of `SigmaPropValue` instances and returns a `SigmaPropValue` instance.\n\n3. What is the purpose of the `parse` method in the `SigmaTransformerSerializer` class?\n- The `parse` method deserializes a `SigmaTransformer` instance from a `SigmaByteReader` by reading in a sequence of `SigmaPropValue` instances and passing them to the `cons` function to create a new `SigmaPropValue` instance.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.md"}}],["341",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala)\n\nThe code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a simple transformer that takes an input of type `I` and produces an output of type `O`. The transformer is represented by the `Transformer[I, O]` class, which is a part of the `sigmastate.utxo` package.\n\nThe `SimpleTransformerSerializer` class is responsible for serializing and deserializing instances of the `Transformer[I, O]` class. It takes two parameters: `opDesc`, which is an instance of the `SimpleTransformerCompanion` class that provides information about the transformer, and `cons`, which is a function that takes an input of type `Value[I]` and produces an output of type `Value[O]`.\n\nThe `serialize` method of the `SimpleTransformerSerializer` class takes an instance of the `Transformer[I, O]` class and a `SigmaByteWriter` object and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object and returns an instance of the `Value[O]` class that represents the deserialized transformer.\n\nThe `inputInfo` field of the `SimpleTransformerSerializer` class is an instance of the `DataInfo[SValue]` class that provides information about the input value of the transformer. This information is used by the `serialize` method to write the serialized form of the input value to the writer.\n\nOverall, this code provides a way to serialize and deserialize instances of the `Transformer[I, O]` class, which can be used in the larger Sigmastate project to represent various types of transformers that operate on values of different types. Here is an example of how this code can be used:\n\n```scala\nimport sigmastate.SType\nimport sigmastate.Values.{Value, SValue}\nimport sigmastate.utxo.{Transformer, SimpleTransformerCompanion}\n\n// Define a simple transformer that takes an Int value and adds 1 to it\ncase class AddOneTransformer() extends Transformer[Int, Int] {\n override def apply(input: Value[Int]): Value[Int] = input + 1\n}\n\n// Create a serializer for the AddOneTransformer class\nval serializer = SimpleTransformerSerializer(AddOneTransformer, AddOneTransformer())\n\n// Serialize an instance of the AddOneTransformer class\nval transformerBytes = serializer.toBytes(AddOneTransformer())\n\n// Deserialize the serialized bytes into an instance of the AddOneTransformer class\nval deserializedTransformer = serializer.parseBytes(transformerBytes)\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for a simple transformer that takes an input value of type I and returns an output value of type O.\n\n2. What is the significance of the `SimpleTransformerCompanion` parameter in the `SimpleTransformerSerializer` case class?\n - The `SimpleTransformerCompanion` provides information about the transformer being serialized, such as the types of its input and output values.\n\n3. What is the role of the `parse` method in the `SimpleTransformerSerializer` class?\n - The `parse` method deserializes a value of type `O` from a `SigmaByteReader` by first reading an input value of type `I` and then applying the transformer's `cons` function to it.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.md"}}],["342",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala)\n\nThe code above is a Scala implementation of a serializer for the Slice operation in the SigmaState project. The Slice operation is used to extract a subsequence of elements from a collection. The purpose of this code is to provide a way to serialize and deserialize Slice objects, which can then be used in the larger project.\n\nThe SliceSerializer class takes a constructor that accepts three arguments: a Value object representing the input collection, a Value object representing the starting index of the subsequence, and a Value object representing the ending index of the subsequence. These arguments are used to create a new Value object representing the subsequence.\n\nThe class extends the ValueSerializer trait, which provides methods for serializing and deserializing Value objects. The opDesc method returns the Slice operation, which is used to identify the operation being serialized or deserialized.\n\nThe serialize method takes a Slice object and a SigmaByteWriter object as arguments. It then writes the input, from, and until values of the Slice object to the SigmaByteWriter object using the putValue method.\n\nThe parse method takes a SigmaByteReader object as an argument and reads the input, from, and until values from the reader using the getValue method. It then calls the constructor passed to the SliceSerializer object to create a new Value object representing the subsequence.\n\nOverall, this code provides a way to serialize and deserialize Slice objects in the SigmaState project. This can be useful for storing and transmitting Slice objects between different parts of the project. Here is an example of how this code might be used:\n\n```\nval input = SCollection[Int](1, 2, 3, 4, 5)\nval from = SInt(1)\nval until = SInt(4)\nval slice = Slice(input, from, until)\nval serializer = SliceSerializer((i, f, u) => Slice(i, f, u))\nval writer = new SigmaByteWriter()\nserializer.serialize(slice, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval deserializedSlice = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code?\n - This code defines a serializer for the `Slice` operation in the Sigma programming language, which extracts a sub-collection from a given collection.\n2. What other operations does this code depend on?\n - This code depends on the `Slice` operation and the `SInt`, `SCollection`, and `SType` types from the Sigma programming language.\n3. How does this code handle serialization and deserialization of `Slice` objects?\n - This code uses a `SigmaByteWriter` to serialize the `input`, `from`, and `until` values of a `Slice` object, and a `SigmaByteReader` to parse these values back into a `Slice` object using the `cons` constructor.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.md"}}],["343",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers)\n\nThe code in this folder provides serializers for various operations and transformers in the SigmaState project. Serializers are responsible for converting objects into byte streams that can be transmitted over a network or stored in a file, and deserializing them back into objects. These serializers are crucial for enabling communication between different parts of the SigmaState system and for storing data in various formats.\n\nFor example, the `AppendSerializer` class is responsible for serializing and deserializing the `Append` operation, which concatenates two collections of the same type. This serializer can be used in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection.\n\nAnother example is the `AtLeastSerializer` class, which serializes and deserializes the `AtLeast` operation. This operation is used to create a `SigmaPropValue` representing a threshold signature scheme, requiring a minimum number of signatures from a collection of `SigmaPropValues` to be valid. The serializer allows `AtLeast` operations to be transmitted over the network or stored in a database.\n\nThe `BooleanTransformerSerializer` class provides serialization and deserialization for the `BooleanTransformer` class, which is used to transform a collection of values into a boolean value based on a given condition. This serializer can be used in various parts of the project to transform collections of values into boolean values based on a given condition.\n\nIn summary, the serializers in this folder play a crucial role in the SigmaState project by enabling the efficient transmission and storage of various operations and transformers. They can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project, allowing for seamless communication between different parts of the system and efficient storage of data.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.md"}}],["344",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala)\n\nThe code above defines a serializer for a Quadruple, which is a data structure that holds four values of potentially different types. The purpose of this serializer is to convert a Quadruple object into a byte stream that can be transmitted over a network or stored in a file, and vice versa. \n\nThe serializer is defined as a case class that takes four type parameters, S1, S2, S3, and S4, which represent the types of the four values stored in the Quadruple. The constructor of the serializer takes two arguments: an instance of a QuadrupleCompanion object, which provides metadata about the Quadruple, and a function that takes three Value objects of types S1, S2, and S3, and returns a Value object of type S4. \n\nThe serializer implements the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes a Quadruple object and a SigmaByteWriter object, which is used to write the byte stream. The method first retrieves the DataInfo objects for the three values stored in the Quadruple from the QuadrupleCompanion object, and then writes each value to the byte stream using the putValue method of the SigmaByteWriter object. \n\nThe parse method takes a SigmaByteReader object, which is used to read the byte stream, and returns a Value object of type S4. The method first reads the three values from the byte stream using the getValue method of the SigmaByteReader object, and then calls the constructor function with these values to create a new Value object of type S4. \n\nThis serializer can be used in the larger project to serialize and deserialize Quadruple objects, which may be used to represent complex data structures or computations. For example, a Quadruple object could be used to represent a mathematical function that takes three inputs and produces one output. The serializer would then be used to transmit or store the function over a network or in a file. \n\nExample usage:\n\n```\nval q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true))\nval serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)})\nval writer = new SigmaByteWriter()\nserializer.serialize(q, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\n```\n## Questions: \n 1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a Quadruple data structure in the Sigmastate project. It allows for the serialization and deserialization of Quadruple objects.\n\n2. What are the requirements for the input types S1, S2, S3, and S4?\n- The input types S1, S2, S3, and S4 must all be subtypes of SType, which is a type hierarchy for values in Sigmastate.\n\n3. What is the significance of the cons parameter in the QuadrupleSerializer constructor?\n- The cons parameter is a function that takes three Value objects of types S1, S2, and S3 and returns a Value object of type S4. It is used to construct a Quadruple object from the deserialized values.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.md"}}],["345",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala)\n\nThe code above defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array that can be transmitted over a network or stored in a file.\n\nThe serializer is implemented as a case class that takes two arguments: an instance of a RelationCompanion object that describes the relation, and the constructor function that creates the relation. The serializer extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of the relation and a SigmaByteWriter object, and writes the relation to the writer in a binary format. The parse method takes a SigmaByteReader object and returns an instance of the relation.\n\nThe serializer uses the opCodeInfo, bitsInfo, leftArgInfo, and rightArgInfo objects to define the format of the binary data. The opCodeInfo object is a DataInfo object that describes the opcode used to represent the relation. The bitsInfo object is a DataInfo object that describes the format of the two bits used to represent the relation. The leftArgInfo and rightArgInfo objects are DataInfo objects that describe the format of the two arguments to the relation.\n\nThe serializer uses the cases and when methods to define the different cases for serializing the relation. If the relation is a constant Boolean value, the serializer writes the opcode and the two bits to the writer. Otherwise, the serializer writes the two arguments to the writer.\n\nThe parse method uses the peekByte method to determine if the relation is a constant Boolean value. If it is, the method reads the two bits and creates an instance of the relation using the constructor function. Otherwise, the method reads the two arguments and creates an instance of the relation using the constructor function.\n\nOverall, this serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in a variety of contexts, such as in smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for a binary relation between two values of specific types in the SigmaState project. It serializes and deserializes the relation into a byte stream.\n\n2. What are the input and output types of the `Relation2Serializer` class?\n \n The `Relation2Serializer` class takes in three type parameters: `S1`, `S2`, and `R`. `S1` and `S2` are the types of the two values being related, and `R` is the type of the resulting relation. The class extends `ValueSerializer[R]`.\n\n3. What is the purpose of the `HOTSPOT` comment in the `parse` method?\n \n The `HOTSPOT` comment indicates that the code in the `parse` method should not be modified for performance reasons. This method is a critical part of the serialization process and any changes to it could have a significant impact on performance.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.md"}}],["346",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees)\n\nThe `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees` folder contains two important serializers, `QuadrupleSerializer.scala` and `Relation2Serializer.scala`, which are used for serializing and deserializing complex data structures and binary relations, respectively.\n\n`QuadrupleSerializer.scala` defines a serializer for a Quadruple, a data structure that holds four values of potentially different types. This serializer converts a Quadruple object into a byte stream for transmission or storage and vice versa. It can be used in the larger project to serialize and deserialize Quadruple objects representing complex data structures or computations. For example, a Quadruple object could represent a mathematical function with three inputs and one output. The serializer would then be used to transmit or store the function over a network or in a file.\n\nExample usage:\n\n```scala\nval q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true))\nval serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)})\nval writer = new SigmaByteWriter()\nserializer.serialize(q, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\n```\n\n`Relation2Serializer.scala` defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array for transmission or storage.\n\nThis serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in various contexts, such as smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.md"}}],["347",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/sigmastate.scala)\n\nThis code defines a set of functions for performing arithmetic operations on values of numeric types in the Sigma programming language. The functions are defined in the `sigmastate` package and are accessible to other parts of the project.\n\nThe functions include `Plus`, `Minus`, `Multiply`, `Divide`, and `Modulo`, which perform addition, subtraction, multiplication, division, and modulo operations on values of numeric types. These functions take two arguments of the same numeric type and return a value of the same type.\n\nIn addition to these basic arithmetic operations, the code also defines `Min` and `Max` functions, which return the minimum and maximum of two values of the same numeric type.\n\nFinally, the code defines `PlusModQ` and `MinusModQ` functions, which perform addition and subtraction operations on values of the `SBigInt` type, but with the result modulo a large prime number `Q`. These functions are used in cryptographic protocols to ensure that the result of the operation remains within a certain range.\n\nOverall, this code provides a set of basic arithmetic operations that can be used in various parts of the Sigma project, such as in the implementation of smart contracts or cryptographic protocols. For example, the `Plus` function could be used to add two values in a smart contract, while the `PlusModQ` function could be used in a cryptographic protocol to perform secure addition of large numbers.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines several functions for performing mathematical operations on values of specific types.\n\n2. What is the significance of the `SNumericType` and `SBigInt.type` types?\n- `SNumericType` is a type parameter that constrains the input values to be of a numeric type, while `SBigInt.type` is a singleton type representing the `BigInt` type.\n\n3. What is the role of the `CheckingSigmaBuilder` import?\n- The `CheckingSigmaBuilder` import is used to provide access to the `mkPlus`, `mkMinus`, `mkMultiply`, `mkDivide`, `mkModulo`, `mkMin`, `mkMax`, `mkPlusModQ`, and `mkMinusModQ` functions, which are used to construct new values of the appropriate types.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/sigmastate.md"}}],["348",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala)\n\nThe code in this file defines extension methods for converting numeric types to byte arrays and collections of Booleans. These methods are defined as implicit classes, which allows them to be used as if they were part of the original numeric types.\n\nThe `ByteOpsForSigma` class defines two methods: `toBytes` and `toBits`. The `toBytes` method returns a big-endian representation of the Byte value in a collection of bytes. For example, the Byte value `0x12` would yield the byte array `{0x12}`. The `toBits` method is not implemented and is left as a TODO for future development.\n\nThe `ShortOpsForSigma`, `IntOpsForSigma`, and `LongOpsForSigma` classes define similar methods for converting Short, Int, and Long values to byte arrays and collections of Booleans. The `toBytes` methods return big-endian representations of the numeric values in collections of bytes, while the `toBits` methods are not implemented.\n\nThese extension methods may be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations. For example, the `toBytes` method for Long values could be used to convert a private key to a byte array for storage or transmission. The `toBits` method could be used to convert a numeric value to a collection of Booleans for use in a bitwise operation.\n\nOverall, this code provides a convenient way to convert numeric values to byte arrays and collections of Booleans, which are commonly used in cryptographic operations.\n## Questions: \n 1. What is the purpose of the `Extensions` object?\n- The `Extensions` object defines extension methods for converting numeric types to collections of bytes and Booleans.\n\n2. What is the purpose of the `toBytes` method in each implicit class?\n- The `toBytes` method returns a big-endian representation of the numeric value in a collection of bytes.\n\n3. What is the purpose of the `toBits` method in each implicit class?\n- The `toBits` method is not implemented and its purpose is unclear from the provided code.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.md"}}],["349",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala)\n\nThe `Helpers` object contains a set of utility functions that can be used across the project. \n\nThe `MutableCell` class is a helper class that encapsulates a mutable value. \n\nThe `xor` function takes two or more byte arrays and performs an XOR operation on them. The `xorU` function is similar to `xor`, but it performs an in-place update of the first argument. Both functions return the resulting byte array. \n\nThe `concatArrays` function concatenates two arrays into a new resulting array. All items of both arrays are copied to the result using `System.arraycopy`. \n\nThe `castArray` function casts an array of type `A` to an array of type `B`. \n\nThe `deepHashCode` function returns the hash code of an array. It is optimized for arrays of primitive types and arrays of objects. \n\nThe `safeIdHashCode` function returns the hash code of an array of bytes. It is optimized for arrays that represent some hash and have enough randomness. \n\nThe `TryOps` class provides additional methods for `Try` instances. The `fold` method takes two functions, one to handle the success case and one to handle the failure case. The `toEither` method converts a `Try` instance to an `Either` instance. The `mapOrThrow` method applies a function to the value of a `Try` instance and throws an exception if the `Try` instance is a failure. The `getOrThrow` method returns the value of a `Try` instance or throws an exception if the `Try` instance is a failure. \n\nThe `DecoderResultOps` class provides a `toTry` method that converts a `Decoder.Result` instance to a `Try` instance. \n\nThe `EitherOps` class provides a `mapRight` method that applies a function to the right value of an `Either` instance. \n\nThe `decodeGroupElement` function decodes a hex string into a byte array and then uses `SigmaDsl.decodePoint()` to construct a `GroupElement` instance. \n\nThe `decodeECPoint` function decodes a hex string into a `GroupElement` and then extracts the underlying `EcPointType` instance. \n\nThe `decodeBytes` function decodes a hex string into a collection of bytes. \n\nThe `Overloading` object contains three classes (`Overload1`, `Overload2`, and `Overload3`) and implicit values for each class. These can be used for overloading purposes.\n## Questions: \n 1. What is the purpose of the `Helpers` object?\n- The `Helpers` object contains various helper functions for working with arrays, decoding hex strings, and converting between different data types.\n\n2. What is the purpose of the `Overloading` object?\n- The `Overloading` object defines three classes and creates implicit values for each of them. These values can be used for method overloading based on the type of the argument.\n\n3. What is the purpose of the `MutableCell` class?\n- The `MutableCell` class encapsulates a mutable value, which can be useful for passing around a reference to a mutable object.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.md"}}],["350",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala)\n\nThe `SigmaByteReader` class is a reader used in the concrete implementations of the `SigmaSerializer`. It decorates the given reader, delegates most of the methods to it, but also adds new methods. The purpose of this class is to read serialized data and deserialize it into Sigma types and values. \n\nThe class takes in a `Reader` object, which is the underlying reader this reader reads from, a `ConstantStore` object, which is the store of constants used to resolve `ConstantPlaceholder`, a `Boolean` flag `resolvePlaceholdersToConstants`, which if true then resolved constants will be substituted in the tree instead of the placeholder, and an `Int` `maxTreeDepth`, which is a limit on the tree depth (recursive invocations) of the deserializer.\n\nThe class has several methods that read different types of data from the serialized data, such as `getByte()`, `getShort()`, `getInt()`, `getLong()`, `getBytes(size: Int)`, `getBits(size: Int)`, `getOption[T](getValue: => T)`, `getType(): SType`, and `getValue(): SValue`. It also has a method `getValues()` that reads a sequence of values from the serialized data.\n\nThe class also has several helper properties and methods, such as `checkPositionLimit()`, which checks that the current reader position is <= positionLimit, `level` and `level_=` which are used to track the depth of nested value deserialization calls, `positionLimit` and `positionLimit_=` which set the limit on the reader position, `complexity` and `complexity_=` which are used to accumulate complexity during parsing, and `wasDeserialize` and `wasDeserialize_=` which are used to track deserialization operations during parsing.\n\nOverall, the `SigmaByteReader` class is an important component of the Sigma serialization and deserialization process, allowing serialized data to be read and deserialized into Sigma types and values.\n## Questions: \n 1. What is the purpose of the `SigmaByteReader` class?\n- The `SigmaByteReader` class is a reader used in the concrete implementations of `SigmaSerializer` that decorates the given reader, delegates most of the methods to it, but also adds new methods.\n\n2. What is the significance of the `maxTreeDepth` parameter in the `SigmaByteReader` constructor?\n- The `maxTreeDepth` parameter is a limit on the tree depth (recursive invocations) of the deserializer.\n\n3. What is the purpose of the `getValues()` method in the `SigmaByteReader` class?\n- The `getValues()` method reads a sequence of values from the reader. It first reads the number of values and then reads each value using `getValue()` method.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.md"}}],["351",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala)\n\nThe SigmaByteWriter class is a utility class that provides methods for writing various data types to a Writer object. It is used in the larger project to serialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain.\n\nThe class takes a Writer object and an optional ConstantStore object as constructor arguments. The Writer object is used to write the serialized data, while the ConstantStore object is used to store constants that are referenced by the serialized data.\n\nThe class provides methods for writing various data types, including Byte, Boolean, Short, Int, Long, and arrays of Bytes. These methods take a value of the corresponding data type as an argument and write it to the Writer object. They also take an optional DataInfo object as an argument, which provides additional information about the data being written, such as its name and description.\n\nThe class also provides methods for writing SigmaState objects, including SType and SValue objects. These methods take a SigmaState object as an argument and use the appropriate serializer to write it to the Writer object.\n\nOverall, the SigmaByteWriter class is an important utility class in the larger project, as it provides a convenient way to serialize SigmaState objects for use in smart contracts on the Ergo blockchain.\n## Questions: \n 1. What is the purpose of this class and what does it do?\n \n This class is a writer for serializing Sigma values into bytes. It provides methods for writing various data types and values, including SType and SValue, and can also handle constant extraction.\n\n2. What is the significance of the various marker types and format descriptors used in this code?\n \n The marker types and format descriptors are used to specify the format of the data being written and to ensure that the correct serialization method is used. For example, the ZigZag marker type is used to indicate that a value should be encoded using ZigZag encoding, while the UVlqFmt format descriptor is used to specify that an unsigned value should be encoded using variable-length quantity encoding.\n\n3. How does this class handle constant extraction and what is its purpose?\n \n This class takes an optional constant extraction store as a parameter, which allows it to extract and serialize constant values separately from other values. This can improve efficiency by reducing the amount of redundant data that needs to be serialized and transmitted.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.md"}}],["352",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala)\n\nThe `SparseArrayContainer` class is used to store values in a sparse array. The class takes a list of pairs (code, value) as input and builds an array with one item for each OpCode. The values are stored in the array at the index corresponding to their code. If there is no value for a given code, the array stores null at that index. \n\nThe `SparseArrayContainer` class provides three methods for accessing and modifying the values in the array. The `apply` method takes a code as input and returns the value stored at the corresponding index in the array. If there is no value for the given code, the method returns null. The `get` method is similar to `apply`, but it returns an `Option` instead of null. If there is a value for the given code, the method returns `Some(value)`. Otherwise, it returns `None`. The `add` method takes a code and a value as input and adds the value to the array at the index corresponding to the code. If there is already a value at that index, the method throws an exception. The `remove` method takes a code as input and removes the value stored at the corresponding index in the array. If there is no value for the given code, the method throws an exception.\n\nThe `SparseArrayContainer` class is used in the larger project to store values for different OpCodes. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode. This allows the project to easily access and modify the `ValueSerializer` objects for different OpCodes. \n\nExample usage:\n\n```\nval values = Seq((1.toByte, \"value1\"), (2.toByte, \"value2\"), (3.toByte, \"value3\"))\nval container = new SparseArrayContainer[String](values)\n\nval value1 = container(1.toByte) // returns \"value1\"\nval value2 = container.get(2.toByte) // returns Some(\"value2\")\nval value4 = container.get(4.toByte) // returns None\n\ncontainer.add(4.toByte, \"value4\")\nval value4New = container(4.toByte) // returns \"value4\"\n\ncontainer.remove(2.toByte)\nval value2New = container.get(2.toByte) // returns None\n```\n## Questions: \n 1. What is the purpose of the `SparseArrayContainer` class?\n- The `SparseArrayContainer` class is used to store values in a sparse array, where each value is associated with a unique code.\n\n2. What is the significance of the `codeToIndex` method?\n- The `codeToIndex` method is used to convert a code value to an index in the sparse array. It adds 128 to the code value to ensure that it is non-negative and can be used as an index.\n\n3. What is the purpose of the `buildForSerializers` method in the `SparseArrayContainer` companion object?\n- The `buildForSerializers` method is used to create a new `SparseArrayContainer` instance from a sequence of `ValueSerializer` objects. It maps each serializer to a pair of its opcode and itself, and passes the resulting sequence to the `SparseArrayContainer` constructor.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.md"}}],["353",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils)\n\nThe code in this folder provides utility functions and classes for the larger project, focusing on serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans.\n\nFor example, the `Extensions.scala` file defines extension methods for converting numeric types (Byte, Short, Int, and Long) to byte arrays and collections of Booleans. These methods can be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations.\n\n```scala\nval num: Long = 123456789L\nval byteArray: Array[Byte] = num.toBytes\n```\n\nThe `Helpers.scala` file contains utility functions that can be used across the project, such as `xor` for XOR operations on byte arrays, `concatArrays` for concatenating arrays, and `decodeGroupElement` for decoding a hex string into a `GroupElement` instance.\n\n```scala\nval array1 = Array[Byte](1, 2, 3)\nval array2 = Array[Byte](4, 5, 6)\nval xorResult = Helpers.xor(array1, array2)\nval concatResult = Helpers.concatArrays(array1, array2)\n```\n\nThe `SigmaByteReader.scala` and `SigmaByteWriter.scala` files provide classes for reading and writing serialized data for Sigma types and values. These classes are used in the larger project to serialize and deserialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain.\n\n```scala\nval writer = new SigmaByteWriter(new DataWriter())\nval value: SValue = ...\nvalue.serialize(writer)\n\nval reader = new SigmaByteReader(new DataReader(writer.toByteArray))\nval deserializedValue: SValue = reader.getValue()\n```\n\nThe `SparseArrayContainer.scala` file provides a class for storing values in a sparse array, which can be used to store values for different OpCodes in the larger project. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode.\n\n```scala\nval serializers = Seq(ValueSerializer1, ValueSerializer2, ValueSerializer3)\nval container = SparseArrayContainer.buildForSerializers(serializers)\n\nval serializer1 = container(ValueSerializer1.opCode)\n```\n\nOverall, the code in this folder provides essential utility functions and classes for the larger project, enabling serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/summary.md"}}],["354",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala)\n\nThe `ComplexityTable` object in the `sigmastate.utxo` package is used to store the complexity values of various operations and method calls in the ErgoScript language. These complexity values are used to estimate the computational cost of executing a given ErgoScript, which is important for ensuring that scripts do not consume excessive resources during execution.\n\nThe `ComplexityTable` object contains two maps: `OpCodeComplexity` and `MethodCallComplexity`. The `OpCodeComplexity` map stores the complexity values for various operations, such as arithmetic, logical, and collection operations. The keys in this map are the operation codes (`OpCode`), and the values are the corresponding complexity values. The `MethodCallComplexity` map stores the complexity values for method calls on specific types, such as `AvlTree`, `SCollection`, and `Context`. The keys in this map are tuples of two bytes, where the first byte represents the type identifier and the second byte represents the method identifier. The values are the corresponding complexity values.\n\nFor example, the complexity of the `Fold` operation is 4034, and the complexity of the `AvlTree.update` method call is 3911. These values are used by the ErgoScript interpreter to estimate the total complexity of a given script, which can then be used to determine if the script is within acceptable resource limits for execution.\n\nHere's an example of how the complexity values might be used:\n\n```scala\nval scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum +\n script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum\nif (scriptComplexity > maxAllowedComplexity) {\n // Reject the script as too complex\n} else {\n // Execute the script\n}\n```\n\nIn this example, the complexity values for all operations and method calls in the script are summed up, and the total complexity is compared against a predefined maximum allowed complexity. If the script's complexity exceeds the maximum, it is rejected; otherwise, it is executed.\n## Questions: \n 1. **Question**: What is the purpose of the `ComplexityTable` object in this code?\n **Answer**: The `ComplexityTable` object contains two maps, `OpCodeComplexity` and `MethodCallComplexity`, which store the complexity values for various opcodes and method calls used in the project. These values can be used to estimate the computational complexity of certain operations in the code.\n\n2. **Question**: How are the complexity values in the `OpCodeComplexity` and `MethodCallComplexity` maps determined?\n **Answer**: The complexity values in the maps are hard-coded and seem to be based on some pre-determined analysis or benchmarking of the operations. The comments next to each entry indicate the count of occurrences for each operation, which might have been used to calculate the complexity values.\n\n3. **Question**: What is the significance of the `MinimalComplexity` constant in the code?\n **Answer**: The `MinimalComplexity` constant is set to 100 and represents the minimum complexity value that can be assigned to an operation. This can be used as a baseline for comparing the complexity of different operations in the code.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.md"}}],["355",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala)\n\nThe `ComplexityTableStat` object contains methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. \n\nThe `StatItem` class is a private mutable class that stores the count and sum of execution times for a given operation. The `opStat` and `mcStat` mutable hash maps store the execution times for op codes and method calls, respectively. \n\nThe `addOpTime` method takes an op code and execution time as input and updates the corresponding `StatItem` in `opStat`. If the op code is not already in `opStat`, a new `StatItem` is created and added to the map. \n\nThe `addMcTime` method takes a type ID, method ID, and execution time as input and updates the corresponding `StatItem` in `mcStat`. If the type ID and method ID are not already in `mcStat`, a new `StatItem` is created and added to the map. \n\nThe `complexityTableString` method generates a string representation of the execution times for op codes and method calls. It first generates a list of tuples containing the op code or method call name, ID, average execution time, and count. It then sorts the list by execution time in descending order. \n\nThe method then generates two separate lists of strings, one for op codes and one for method calls. Each string in the list contains the name or ID of the op code or method call, the average execution time in microseconds, and the count of executions. \n\nThe final output is a string containing the two lists of op codes and method calls, separated by a line of dashes. \n\nThis code can be used to analyze the performance of different operations and method calls in the `sigmastate.utxo` package. By calling the `addOpTime` and `addMcTime` methods at various points in the code, developers can track the execution times of specific operations and method calls. The `complexityTableString` method can then be used to generate a report of the execution times, which can be used to identify performance bottlenecks and optimize the code. \n\nExample usage:\n\n```\n// track execution time of an op code\nval startTime = System.nanoTime()\n// execute op code\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addOpTime(opCode, elapsedTime)\n\n// track execution time of a method call\nval startTime = System.nanoTime()\n// call method\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addMcTime(typeId, methodId, elapsedTime)\n\n// generate report of execution times\nval report = ComplexityTableStat.complexityTableString\n```\n## Questions: \n 1. What is the purpose of the `ComplexityTableStat` object?\n- The `ComplexityTableStat` object is used to collect and store timing statistics for op codes and method calls in the `sigmastate` package.\n\n2. What data structures are used to store the timing statistics?\n- The timing statistics for op codes and method calls are stored in mutable hash maps called `opStat` and `mcStat`, respectively.\n\n3. What is the output format of the `complexityTableString` method?\n- The `complexityTableString` method outputs a formatted string that displays the average execution time and count for each op code and method call, sorted by decreasing execution time. The op codes and method calls are displayed separately in two sections, each with their own header and divider lines.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.md"}}],["356",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo` folder is part of the SigmaState UTXO package and is responsible for handling the complexity estimation and execution of ErgoScript operations and method calls, as well as providing a set of transformers and operations for manipulating data structures within the Ergo platform.\n\n`ComplexityTable.scala` contains the `ComplexityTable` object, which stores the complexity values of various operations and method calls in the ErgoScript language. These values are used to estimate the computational cost of executing a given ErgoScript, ensuring that scripts do not consume excessive resources during execution. For example:\n\n```scala\nval scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum +\n script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum\nif (scriptComplexity > maxAllowedComplexity) {\n // Reject the script as too complex\n} else {\n // Execute the script\n}\n```\n\n`ComplexityTableStat.scala` provides methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. Developers can use this code to analyze the performance of different operations and method calls, identify performance bottlenecks, and optimize the code. Example usage:\n\n```scala\n// track execution time of an op code\nval startTime = System.nanoTime()\n// execute op code\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addOpTime(opCode, elapsedTime)\n\n// track execution time of a method call\nval startTime = System.nanoTime()\n// call method\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addMcTime(typeId, methodId, elapsedTime)\n\n// generate report of execution times\nval report = ComplexityTableStat.complexityTableString\n```\n\n`transformers.scala` provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes. For example:\n\n```scala\n// map a collection using a custom function\nval inputCollection: SCollection[Int] = ...\nval mapperFunction: SFunc = ...\nval mappedCollection = MapCollection(inputCollection, mapperFunction)\n\n// filter a collection based on a condition\nval inputCollection: SCollection[Int] = ...\nval conditionFunction: SFunc = ...\nval filteredCollection = Filter(inputCollection, conditionFunction)\n```\n\nThese transformers and operations are essential for processing and manipulating data within the Ergo platform and can be used in various parts of the project to perform complex data transformations and validations.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/summary.md"}}],["357",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala)\n\nThis code is part of the SigmaState UTXO package and provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes.\n\nFor example, the `MapCollection` case class takes an input collection and a mapper function, and applies the function to each element of the collection, creating a new collection with the transformed elements. Similarly, the `Filter` case class takes an input collection and a condition function, and returns a new collection containing only the elements that satisfy the condition.\n\nOther transformers in this code include `Append`, `Slice`, `Exists`, `ForAll`, `Fold`, `ByIndex`, `SelectField`, `SigmaPropIsProven`, `SigmaPropBytes`, and various `Extract` operations for extracting specific fields from boxes, such as `ExtractAmount`, `ExtractScriptBytes`, `ExtractBytes`, `ExtractBytesWithNoRef`, `ExtractId`, and `ExtractCreationInfo`.\n\nAdditionally, there are operations for working with optional values, such as `OptionGet`, `OptionGetOrElse`, and `OptionIsDefined`, as well as operations for deserializing and working with context variables, like `DeserializeContext`, `DeserializeRegister`, and `GetVar`.\n\nThese transformers and operations are essential for processing and manipulating data within the Ergo platform, and they can be used in various parts of the project to perform complex data transformations and validations.\n## Questions: \n 1. **What is the purpose of the `Transformer` trait?**\n\n The `Transformer` trait is used to represent operations that transform some input value of type `IV` into an output value of type `OV`. It is mainly used to simplify the implementation and avoid code duplication.\n\n2. **How does the `MapCollection` case class work?**\n\n The `MapCollection` case class represents an operation that applies a given function `mapper` to all elements of an input collection and returns a new collection with the results. It takes an input collection of type `SCollection[IV]` and a mapper function of type `SFunc`, and returns a new collection of type `SCollection[OV]`.\n\n3. **What is the purpose of the `BooleanTransformer` trait?**\n\n The `BooleanTransformer` trait is used to represent operations that transform a collection of values into a boolean value. It is a subtype of the `Transformer` trait and has an input of type `SCollection[IV]` and an output of type `SBoolean.type`. Examples of such operations are `Exists` and `ForAll`, which test whether a predicate holds for at least one element or all elements of a collection, respectively.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.md"}}],["358",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/scala/summary.md"}}],["359",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/main/summary.md"}}],["360",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src)\n\nThe code in the `.autodoc/docs/json/interpreter/shared/src` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/src/summary.md"}}],["361",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared)\n\nThe code in the `.autodoc/docs/json/interpreter/shared` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/interpreter/shared/summary.md"}}],["362",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter)\n\nThe code in the `.autodoc/docs/json/interpreter` folder is essential for handling various aspects of the Ergo blockchain platform. It provides cryptographic functions, data structures, and validation rules for working with the Ergo blockchain. The folder is organized into three subfolders: `js`, `jvm`, and `shared`.\n\nThe `js` subfolder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. Here's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nThe `jvm` subfolder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nThe `shared` subfolder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network. The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.\n\nIn summary, the code in the `.autodoc/docs/json/interpreter` folder provides a set of cryptographic functions, data structures, and validation rules for working with the Ergo blockchain platform. These components can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.","metadata":{"source":".autodoc/docs/markdown/interpreter/summary.md"}}],["363",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/jest.config.js)\n\nThis code exports an object with several properties that configure the behavior of a testing framework. The `collectCoverage` property is a boolean that determines whether or not code coverage information should be collected during testing. If set to `true`, the framework will track which lines of code are executed during testing and generate a report showing how much of the codebase was covered. If set to `false`, no coverage information will be collected.\n\nThe `coverageProvider` property specifies which coverage analysis tool to use. In this case, it is set to \"v8\", which is the default coverage provider for Node.js. Other options include \"babel\" and \"babel-jest\", which are used for code written in the Babel transpiler.\n\nThe `moduleDirectories` property is an array of directories to search for modules when importing them in test files. By default, the framework will look in the `node_modules` directory, but this property allows for additional directories to be searched.\n\nThe `testMatch` property is an array of file patterns that determine which files should be considered test files. The patterns use glob syntax and include both `.js` and `.jsx` file extensions. The patterns include files located in the `__tests__` directory as well as files with names that end in \"spec\" or \"test\".\n\nOverall, this code provides configuration options for a testing framework, allowing developers to customize how tests are run and what information is collected during testing. It can be used in conjunction with other testing tools and libraries to create a comprehensive testing suite for a project. Here is an example of how this code might be used in a larger project:\n\n```\nconst jestConfig = require('./jest.config');\n\nmodule.exports = {\n ...jestConfig,\n collectCoverage: true,\n coverageThreshold: {\n global: {\n branches: 80,\n functions: 80,\n lines: 80,\n statements: 80,\n },\n },\n};\n```\n\nIn this example, the `jestConfig` object is imported from the file containing the code we just analyzed. The object is then spread into a new object, allowing us to modify some of its properties. In this case, we set `collectCoverage` to `true` and define a coverage threshold that must be met for the tests to pass. This modified configuration object is then exported and used by the testing framework to run tests and generate coverage reports.\n## Questions: \n 1. What is the purpose of this module and how is it used in the project?\n This module exports an object with configuration options for testing, including coverage settings and test file patterns. It is likely used by a testing framework or tool in the project.\n\n2. What does the `collectCoverage` option do and why is it set to `false`?\n The `collectCoverage` option determines whether code coverage information should be collected during testing. In this case, it is set to `false`, indicating that coverage information should not be collected.\n\n3. What is the significance of the `moduleDirectories` option?\n The `moduleDirectories` option specifies directories to search for modules when importing them in test files. In this case, it only includes the `node_modules` directory, indicating that modules should only be searched for there.","metadata":{"source":".autodoc/docs/markdown/jest.config.md"}}],["364",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala)\n\n# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n## Questions: \n 1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.md"}}],["365",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala)\n\n## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n## Questions: \n 1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/Types.md"}}],["366",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang)\n\nThe `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/summary.md"}}],["367",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala)\n\nThe code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.\n## Questions: \n 1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.md"}}],["368",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala)\n\nThe code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.\n## Questions: \n 1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.md"}}],["369",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala)\n\nThis code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n## Questions: \n 1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.md"}}],["370",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala)\n\nThe `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```\n## Questions: \n 1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.md"}}],["371",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala)\n\n## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.\n## Questions: \n 1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.md"}}],["372",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax)\n\nThe `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.md"}}],["373",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate)\n\nThe code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/summary.md"}}],["374",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala)\n\nThe code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/scala/summary.md"}}],["375",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main)\n\nThe code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/main/summary.md"}}],["376",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src)\n\nThe code in the `.autodoc/docs/json/parsers/shared/src` folder plays a crucial role in parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/src/summary.md"}}],["377",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared)\n\nThe code in the `.autodoc/docs/json/parsers/shared` folder is essential for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/shared/summary.md"}}],["378",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers)\n\nThe `.autodoc/docs/json/parsers` folder contains essential code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `shared/lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.","metadata":{"source":".autodoc/docs/markdown/parsers/summary.md"}}],["379",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/profile-sbt.sh)\n\nThis code is a command that is used to run the Simple Build Tool (sbt) with a Java profiler called YourKit. The purpose of this command is to enable profiling of the Java code being built by sbt. \n\nProfiling is a technique used to analyze the performance of a program by measuring various metrics such as CPU usage, memory usage, and execution time. YourKit is a popular Java profiler that provides a range of features for profiling Java applications. By adding the YourKit profiler to sbt, developers can gain insights into the performance of their code and identify areas for optimization.\n\nThe command starts by invoking sbt and passing it the -J-agentpath option, which specifies the path to the YourKit profiler library. The path is specific to the macOS operating system and may need to be modified for other platforms. Once sbt is running with the profiler attached, it will collect profiling data as the code is built and executed.\n\nHere is an example of how this command might be used in a larger project:\n\n```\nsbt -J-agentpath:/path/to/YourKit/libyjpagent.so clean compile test\n```\n\nThis command would run sbt with the YourKit profiler attached and perform a clean build of the project, compile the code, and run the test suite. The profiling data collected during this process could then be analyzed using the YourKit profiler to identify performance bottlenecks and optimize the code.\n\nOverall, this command is a useful tool for developers who want to improve the performance of their Java code and ensure that it is running efficiently.\n## Questions: \n 1. What is the purpose of this code?\n This code is used to configure the YourKit Java Profiler for use with the project.\n\n2. What is the significance of the \"-J-agentpath\" flag?\n The \"-J-agentpath\" flag is used to specify the path to the YourKit Java Profiler agent library.\n\n3. Is this code specific to a certain operating system or version of the profiler?\n Yes, this code is specific to the Mac operating system and the 2018.04 version of the YourKit Java Profiler.","metadata":{"source":".autodoc/docs/markdown/profile-sbt.md"}}],["380",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala)\n\nThe ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n## Questions: \n 1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.md"}}],["381",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala)\n\nThe code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.\n## Questions: \n 1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.md"}}],["382",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala)\n\nThe code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.\n## Questions: \n 1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.md"}}],["383",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala)\n\nThe ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.\n## Questions: \n 1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.md"}}],["384",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala)\n\nThe code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n## Questions: \n 1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.md"}}],["385",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl)\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/summary.md"}}],["386",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform)\n\nThe code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/summary.md"}}],["387",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org)\n\nThe `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/org/summary.md"}}],["388",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala)\n\nThe code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.\n## Questions: \n 1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/CompilerReflection.md"}}],["389",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala)\n\nThe code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n## Questions: \n 1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/IRContext.md"}}],["390",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala)\n\nThe `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.\n## Questions: \n 1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/TreeBuilding.md"}}],["391",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval)\n\nThe `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/summary.md"}}],["392",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala)\n\nThe code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.\n## Questions: \n 1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaBinder.md"}}],["393",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala)\n\nThe `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n## Questions: \n 1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaCompiler.md"}}],["394",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala)\n\nThe `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to\n## Questions: \n 1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaTyper.md"}}],["395",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang)\n\nThe `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/summary.md"}}],["396",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate)\n\nThe `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/sigmastate/summary.md"}}],["397",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala)\n\nThe code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method.\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/scala/summary.md"}}],["398",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main)\n\nThe code in the `.autodoc/docs/json/sc/src/main/scala` folder plays a crucial role in working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/main/summary.md"}}],["399",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src)\n\nThe code in the `.autodoc/docs/json/sc/src/main/scala` folder is crucial for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/src/summary.md"}}],["400",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc)\n\nThe code in the `.autodoc/docs/json/sc/src/main/scala` folder is essential for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides crucial components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sc/summary.md"}}],["401",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala)\n\nThe code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```\n## Questions: \n 1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.md"}}],["402",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala)\n\nThe code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.\n## Questions: \n 1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.md"}}],["403",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala)\n\nThe code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.md"}}],["404",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala)\n\nThis code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.\n## Questions: \n 1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.md"}}],["405",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala)\n\nThis code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.\n## Questions: \n 1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.md"}}],["406",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala)\n\nThe code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```\n## Questions: \n 1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.md"}}],["407",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala)\n\nThe code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.\n## Questions: \n 1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.md"}}],["408",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala)\n\nThe code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```\n## Questions: \n 1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.md"}}],["409",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala)\n\nThe code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.md"}}],["410",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala)\n\n# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.\n## Questions: \n 1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.md"}}],["411",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.md"}}],["412",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.md"}}],["413",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/summary.md"}}],["414",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/org/summary.md"}}],["415",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/scala/summary.md"}}],["416",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main)\n\nThe `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/main/summary.md"}}],["417",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src)\n\nThe `.autodoc/docs/json/sdk/js/src` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/src/summary.md"}}],["418",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js)\n\nThe `.autodoc/docs/json/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.","metadata":{"source":".autodoc/docs/markdown/sdk/js/summary.md"}}],["419",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.scala)\n\n## AppkitProvingInterpreter Class\n\nThe `AppkitProvingInterpreter` class is a class that holds secrets and can sign transactions. It is used to generate proofs for transactions. It takes in `secretKeys`, `dLogInputs`, `dhtInputs`, and `params` as parameters. `secretKeys` are secrets in extended form to be used by the prover. `dLogInputs` are prover inputs containing secrets for generating proofs for ProveDlog nodes. `dhtInputs` are prover inputs containing secrets for generating proofs for ProveDHTuple nodes. `params` are ergo blockchain parameters.\n\nThe class extends `ReducingInterpreter` and `ProverInterpreter`. It has a `secrets` field that holds all the necessary secrets to satisfy the given sigma proposition in the reducedInput. It has a `pubKeys` field that holds all public keys that correspond to all the DLogProverInput known to this prover.\n\nThe `sign` method reduces and signs the given transaction. It takes in `unreducedTx`, `stateContext`, and `baseCost` as parameters. `unreducedTx` is the unreduced transaction data to be reduced (contains unsigned transaction). `stateContext` is the state context of the blockchain in which the transaction should be signed. `baseCost` is the cost accumulated before this transaction. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost doesn't include `baseCost`.\n\nThe `signReduced` method signs the given transaction (i.e. providing spending proofs) for each input so that the resulting transaction can be submitted to the blockchain. It takes in `reducedTx` as a parameter. `reducedTx` is an unsigned transaction augmented with reduced. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost includes the costs of obtaining reduced transaction and the cost of verification of each signed input.\n\nThe `proveReduced` method generates proof (aka signature) for the given message using secrets of this prover. All the necessary secrets should be configured in this prover to satisfy the given sigma proposition in the reducedInput.\n\n## ReducedErgoLikeTransaction Class\n\nThe `ReducedErgoLikeTransaction` class represents `reduced` transaction, i.e. unsigned transaction where each unsigned input is augmented with `ReducedInputData` which contains a script reduction result. After an unsigned transaction is reduced it can be signed without context. Thus, it can be serialized and transferred for example to Cold Wallet and signed in an environment where secrets are known. It takes in `unsignedTx` and `reducedInputs` as parameters. `unsignedTx` is an unsigned transaction. `reducedInputs` is a sequence of `ReducedInputData`.\n\n## ReducedInputData Class\n\nThe `ReducedInputData` class represents data necessary to sign an input of an unsigned transaction. It takes in `reductionResult` and `extension` as parameters. `reductionResult` is the result of reducing input script to a sigma proposition. `extension` is context extensions (aka context variables) used by script and which are also necessary to verify the transaction on-chain. Extensions are included in tx bytes, which are signed.\n\n## TokenBalanceException Class\n\nThe `TokenBalanceException` class is thrown during transaction signing when inputs token are not balanced with output tokens. It takes in `message` and `tokensDiff` as parameters. `message` is the balance difference which caused the error. `tokensDiff` is the difference between input and output tokens.\n## Questions: \n 1. What is the purpose of the `AppkitProvingInterpreter` class?\n- The `AppkitProvingInterpreter` class holds secrets and can sign transactions to generate proofs. It takes in secrets, prover inputs, and blockchain parameters as parameters.\n\n2. What is the difference between `sign` and `signReduced` methods in the `AppkitProvingInterpreter` class?\n- The `sign` method reduces and signs the given transaction, while the `signReduced` method signs the given transaction without requiring context to generate proofs.\n\n3. What is the purpose of the `ReducedErgoLikeTransactionSerializer` object?\n- The `ReducedErgoLikeTransactionSerializer` object is used to serialize and parse `ReducedErgoLikeTransaction` objects, which are unsigned transactions augmented with `ReducedInputData` that contain a script reduction result.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.md"}}],["420",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.scala)\n\nThe `DataJsonEncoder` object in this code is responsible for encoding and decoding data in JSON format for the Ergo platform SDK. It provides methods to convert data between JSON and Ergo platform's internal data types, such as `SInt`, `SLong`, `SBigInt`, `SString`, `SCollectionType`, `SOption`, `STuple`, `SGroupElement`, `SAvlTree`, `SSigmaProp`, and `SBox`. This is useful for serializing and deserializing data when communicating with external systems or storing data in a human-readable format.\n\nThe main methods provided by this object are:\n\n- `encode[T <: SType](v: T#WrappedType, tpe: T): Json`: Encodes a value `v` of type `T` into a JSON object, including the type information.\n- `encodeAnyValue(v: AnyValue): Json`: Encodes an `AnyValue` into a JSON object, including the type information.\n- `decode(json: Json): SType#WrappedType`: Decodes a JSON object into a value of the corresponding `SType`.\n- `decodeAnyValue(json: Json): AnyValue`: Decodes a JSON object into an `AnyValue`.\n\nThese methods rely on several private helper methods for encoding and decoding specific data types, such as `encodeBytes`, `decodeBytes`, `encodeData`, `decodeData`, `decodeColl`, and `decodeWithTpe`.\n\nFor example, to encode an `SInt` value into JSON:\n\n```scala\nval intValue: SInt#WrappedType = 42\nval json: Json = DataJsonEncoder.encode(intValue, SInt)\n```\n\nAnd to decode the JSON back into an `SInt` value:\n\n```scala\nval decodedValue: SInt#WrappedType = DataJsonEncoder.decode(json).asInstanceOf[SInt#WrappedType]\n```\n\nThis object is useful in the larger project for handling data serialization and deserialization between the Ergo platform and external systems, such as APIs, databases, or user interfaces.\n## Questions: \n 1. **Question**: What is the purpose of the `DataJsonEncoder` object and its methods?\n **Answer**: The `DataJsonEncoder` object is responsible for encoding and decoding data of various types to and from JSON format. It provides methods like `encode`, `encodeAnyValue`, `decode`, and `decodeAnyValue` to handle the conversion between data types and JSON.\n\n2. **Question**: How does the `encodeData` method work and what types does it support?\n **Answer**: The `encodeData` method takes a value `v` and its type `tpe` as input and returns a JSON representation of the value. It supports various types like SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox.\n\n3. **Question**: How does the `decodeData` method work and what types does it support?\n **Answer**: The `decodeData` method takes a JSON object and a type `tpe` as input and returns the decoded value of the specified type. It supports the same types as the `encodeData` method, such as SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.md"}}],["421",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.scala)\n\nThe code defines a class called ErgoId, which is used to represent an identifier for an Ergo object. The ErgoId class contains a byte array that usually represents a 256-bit hash. The class provides methods to create an ErgoId object from a base16 string and to extract the underlying byte array.\n\nThe ErgoId class also overrides the hashCode and equals methods to support equality. The hashCode method converts the byte array to an integer using the Ints.fromByteArray method from the scorex.utils package. If the byte array is null or less than 4 bytes, the method uses the util.Arrays.hashCode method instead. The equals method checks if the object being compared is null, if it is the same object, or if it is an instance of ErgoId. If it is an ErgoId object, the method checks if the byte arrays are equal using the util.Arrays.equals method.\n\nFinally, the ErgoId class provides a toString method that returns a string representation of the byte array using Base16 encoding.\n\nThe ErgoId object can be used to uniquely identify an Ergo object in the larger project. For example, it can be used to identify a transaction or a box in the Ergo blockchain. The ErgoId object can be created using the create method of the ErgoId object, which takes a base16 string as input. The resulting ErgoId object can then be used to compare with other ErgoId objects to check for equality. The toString method can also be used to obtain a string representation of the ErgoId object for display purposes.\n\nExample usage:\n\n```\nval id1 = ErgoId.create(\"0123456789abcdef\")\nval id2 = ErgoId.create(\"0123456789abcdef\")\nval id3 = ErgoId.create(\"fedcba9876543210\")\n\nprintln(id1 == id2) // true\nprintln(id1 == id3) // false\n\nprintln(id1.toString) // \"0123456789abcdef\"\n```\n## Questions: \n 1. What is the purpose of the ErgoId class?\n - The ErgoId class is an identifier for an Ergo object that wraps a byte array, usually a 256-bit hash, and supports equality.\n\n2. What is the purpose of the create method in the ErgoId object?\n - The create method in the ErgoId object creates a new ErgoId instance from a base16 string by decoding it into bytes.\n\n3. What hashing algorithm is used in the ErgoId class?\n - The ErgoId class uses the Ints.fromByteArray method to hash the byte array if it is at least 4 bytes long, otherwise it uses the util.Arrays.hashCode method. The specific hashing algorithm used by Ints.fromByteArray is not specified in this code.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.md"}}],["422",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.scala)\n\nThe code above defines a case class called ErgoToken that represents an Ergo token (also known as an asset) paired with its value. The class has two parameters: id, which is an instance of ErgoId, and value, which is a Long. ErgoId is a separate class that is not defined in this file.\n\nThe ErgoToken class has three constructors. The first constructor takes an ErgoId instance and a Long value as parameters. The second constructor takes an array of bytes and a Long value as parameters, and it creates a new ErgoId instance from the array of bytes. The third constructor takes a String and a Long value as parameters, and it decodes the String into an array of bytes using a helper method called JavaHelpers.decodeStringToBytes().\n\nThe class also has two methods: getId() and getValue(). getId() returns the ErgoId instance associated with the ErgoToken, while getValue() returns the Long value associated with the ErgoToken.\n\nThis class is useful in the larger project because it allows Ergo tokens to be represented as objects that can be used as keys in maps and sets. This makes it easier to manipulate and store Ergo tokens in the project. For example, if the project needs to keep track of a user's Ergo token balance, it can use a map where the keys are ErgoToken instances and the values are Longs representing the token balances. Here is an example of how this might look:\n\n```\nval tokenBalanceMap: Map[ErgoToken, Long] = Map(\n ErgoToken(\"token1\", 100) -> 500L,\n ErgoToken(\"token2\", 200) -> 1000L,\n ErgoToken(\"token3\", 300) -> 750L\n)\n\nval userTokenBalance: Long = tokenBalanceMap(ErgoToken(\"token2\", 200))\n// userTokenBalance is now 1000L\n```\n\nIn this example, the tokenBalanceMap is a Map where the keys are ErgoToken instances and the values are Longs representing the token balances. The userTokenBalance variable is set to the value associated with the ErgoToken instance representing \"token2\" with a value of 200. This allows the project to easily keep track of Ergo token balances for different users.\n## Questions: \n 1. What is the purpose of the ErgoToken class?\n The ErgoToken class represents an ergo token (or asset) paired with its value and can be used as keys for maps and sets.\n\n2. What is the difference between the three constructors?\n The first constructor takes an ErgoId and a Long as parameters, the second constructor takes an array of bytes and a Long, and the third constructor takes a String and a Long. All three constructors create an instance of the ErgoToken class.\n\n3. What methods are available in the ErgoToken class?\n The ErgoToken class has methods to get the id and value of the token, as well as constructors to create instances of the class using different parameter types. The class also implements equality and can be used as keys for maps and sets.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.md"}}],["423",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.scala)\n\nThe code defines a class called ExtendedInputBox, which represents an input ErgoBox paired with context variables. An ErgoBox is a data structure that contains a certain amount of cryptocurrency and can be used as an input or output in a transaction on the Ergo blockchain. Context variables, also known as ContextExtensions, are additional data that is required to satisfy the guarding proposition of the box. The guarding proposition is a script that must be evaluated to true in order for the box to be spent in a transaction.\n\nThe ExtendedInputBox class takes two parameters: an instance of ErgoBox and a set of context variables. These parameters are used to create an ExtendedInputBox object, which can then be used as an input in a transaction. The toUnsignedInput method is provided to convert an ExtendedInputBox object into an UnsignedInput object, which is used to create a signed transaction.\n\nThis code is part of the Ergo Platform SDK, which is a set of tools and libraries for building applications on the Ergo blockchain. The ExtendedInputBox class is a useful abstraction for working with input boxes in transactions, as it encapsulates both the box and its required context variables. This can simplify the process of constructing and signing transactions, as the necessary data is contained within a single object. \n\nExample usage:\n\n```scala\nimport org.ergoplatform.sdk.ExtendedInputBox\nimport org.ergoplatform.{ErgoBox, UnsignedInput}\nimport sigmastate.interpreter.ContextExtension\n\n// create an ErgoBox and a ContextExtension\nval box = new ErgoBox(1000000, Array[Byte](1, 2, 3))\nval extension = new ContextExtension(Map(\"key\" -> Array[Byte](4, 5, 6)))\n\n// create an ExtendedInputBox object\nval inputBox = ExtendedInputBox(box, extension)\n\n// convert to UnsignedInput\nval unsignedInput = inputBox.toUnsignedInput\n```\n## Questions: \n 1. What is the purpose of the `ExtendedInputBox` class?\n- The `ExtendedInputBox` class represents an input `ErgoBox` along with its associated context variables, which are necessary to satisfy the box's guarding proposition.\n\n2. What is the `toUnsignedInput` method used for?\n- The `toUnsignedInput` method returns an `UnsignedInput` instance created from the `ErgoBox` ID and context extension of the `ExtendedInputBox`.\n\n3. What is the significance of the `ContextExtension` import?\n- The `ContextExtension` import is necessary to use the `extension` parameter in the `ExtendedInputBox` class, which represents the set of context variables necessary to satisfy the box's guarding proposition.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.md"}}],["424",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.scala)\n\nThe `Extensions` object contains several implicit classes that provide additional functionality to existing Scala and Ergo data structures. These classes are designed to simplify common operations and improve code readability.\n\nThe `GenIterableOps` class provides a `mapReduce` method that applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function. The resulting collection is a new collection of (K,V) pairs, where K is the key and V is the reduced value. This method is useful for performing complex operations on collections, such as aggregating data or calculating statistics.\n\nThe `CollOps` class provides several methods for working with Ergo's `Coll` data structure. These methods include `partition`, which partitions a collection into two collections based on a predicate; `toMap`, which converts a collection of (K,V) pairs to an immutable map; `sum`, which sums the elements of a collection using a `Numeric` type; `mapReduce`, which applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function; and `groupBy` and `groupByProjecting`, which partition a collection into a map of collections based on a discriminator function.\n\nThe `PairCollOps` class provides additional methods for working with Ergo's `PairColl` data structure. These methods include `mapFirst` and `mapSecond`, which map the first and second components of each pair in the collection, respectively; `reduceByKey`, which uses the first component of each pair in the collection as a key for grouping and reducing the corresponding values; `sumByKey`, which uses the first component of each pair in the collection as a key for grouping and summing the corresponding values using a `Numeric` type; and `groupByKey`, which uses the first component of each pair in the collection as a key for grouping the corresponding values into a new collection.\n\nThe `CollBuilderOps` class provides additional methods for working with Ergo's `CollBuilder` data structure. These methods include `outerJoin`, which performs an outer join operation between two collections and returns a collection of (K,O) pairs, where each key comes from either the left or right collection and values are produced by projections; and `fromMap`, which constructs a collection of (K,V) pairs using a `PairColl` representation, in which keys and values are stored as separate unboxed arrays.\n\nOverall, these implicit classes provide a wide range of functionality for working with collections in Ergo and can greatly simplify complex operations.\n## Questions: \n 1. What is the purpose of the `Extensions` object?\n- The `Extensions` object contains several implicit classes that provide additional functionality to existing classes, such as `GenIterable`, `Coll`, and `CollBuilder`.\n\n2. What is the purpose of the `mapReduce` method in the `GenIterableOps` class?\n- The `mapReduce` method applies a mapping function to each element of a collection, groups the elements by key, and reduces each group using a reduction function. The result is a new collection of (key, value) pairs, with one item for each group.\n\n3. What is the purpose of the `outerJoin` method in the `CollBuilderOps` class?\n- The `outerJoin` method performs an outer join operation between two collections, using projection functions to produce values for each element of the left and right collections, and an inner projection function to produce values for matching items with the same key. The result is a new collection of (key, value) pairs, with keys coming from either the left or right collection and values produced by the projection functions.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.md"}}],["425",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.scala)\n\nThis code is part of the Ergo Platform SDK and provides various utilities and type conversions for working with Ergo blockchain data structures. It includes conversions between Java and Scala data types, as well as conversions between Ergo representations and generated API representations.\n\nThe `Iso` trait defines a type-class for isomorphisms between types, which are used to define type-safe conversions between different representations of the same information. The `Iso` trait has two main methods: `to` and `from`, which convert between the two types. There are also several implicit instances of `Iso` for common conversions, such as `jbyteToByte`, `jshortToShort`, and `jintToInt`.\n\nThe `JavaHelpers` object provides various utility methods and implicit classes for working with Ergo blockchain data structures, such as converting between base16 strings and byte arrays, creating Ergo addresses, and working with Ergo tokens. It also provides methods for working with collections, such as `collFrom`, `collToByteArray`, and `subtractTokenColls`.\n\nHere's an example of using the `Iso` trait to convert between Java and Scala data types:\n\n```scala\nimport org.ergoplatform.sdk.Iso._\n\nval jInt: JInt = 42\nval scalaInt: Int = jInt.convertTo[Int] // Converts JInt to Int\nval jIntBack: JInt = scalaInt.convertTo[JInt] // Converts Int back to JInt\n```\n\nAnd an example of using the `JavaHelpers` object to work with Ergo tokens:\n\n```scala\nimport org.ergoplatform.sdk.JavaHelpers._\n\nval tokens: JList[ErgoToken] = ...\nval tokensMap: mutable.LinkedHashMap[ModifierId, Long] = tokens.convertTo[mutable.LinkedHashMap[ModifierId, Long]]\n```\n\nOverall, this code provides a set of utilities and type conversions that can be used throughout the Ergo Platform SDK to work with Ergo blockchain data structures in a type-safe and convenient manner.\n## Questions: \n 1. **What is the purpose of the `Iso` trait and its implementations?**\n\n The `Iso` trait represents a type-class of isomorphisms between two types `A` and `B`. It is used to define type-full conversions between different data types, such as conversions between Java and Scala data types, and conversions between Ergo representations and generated API representations. The implementations of the `Iso` trait provide the actual conversion logic between the two types.\n\n2. **How does the `JavaHelpers` object help with Java interoperability?**\n\n The `JavaHelpers` object provides a set of utility methods and implicit classes that help with Java interoperability. It includes methods for converting between Java and Scala collections, decoding base16 strings, creating Ergo addresses, and other operations that are commonly used in Ergo applications. These methods make it easier for Java developers to work with Ergo and its data structures.\n\n3. **What is the purpose of the `extractAssets` method in the `JavaHelpers` object?**\n\n The `extractAssets` method takes an `IndexedSeq` of `ErgoBoxCandidate` objects and extracts a mapping of assets to their total amounts. It checks the amounts of assets in the boxes, ensuring that they are positive, and then summarizes and groups their corresponding amounts. This method is useful for computing the total amounts of assets in a set of boxes, such as when creating a transaction or computing the balance of a wallet.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.md"}}],["426",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.scala)\n\nThe `JsonCodecs` trait in this code provides JSON encoders and decoders for various data types used in the Ergo platform. These encoders and decoders are used to convert data between JSON and Scala objects, which is useful for data serialization and deserialization when communicating between different components of the Ergo platform or with external systems.\n\nThe trait defines encoders and decoders for a wide range of data types, including cryptographic primitives (e.g., `ADKey`, `ADDigest`, `Digest32`), Ergo-specific data structures (e.g., `ErgoBox`, `ErgoLikeTransaction`, `ErgoLikeContext`), and Sigma language constructs (e.g., `EvaluatedValue`, `ErgoTree`, `SigmaValidationSettings`). It also provides utility methods for handling errors and converting between different data representations (e.g., `fromTry`, `fromOption`, `fromThrows`).\n\nHere's an example of how an encoder and decoder are defined for the `ErgoBox` data type:\n\n```scala\nimplicit val ergoBoxEncoder: Encoder[ErgoBox] = Encoder.instance({ box =>\n Json.obj(\n \"boxId\" -> box.id.asJson,\n \"value\" -> box.value.asJson,\n \"ergoTree\" -> ErgoTreeSerializer.DefaultSerializer.serializeErgoTree(box.ergoTree).asJson,\n \"assets\" -> box.additionalTokens.toArray.toSeq.asJson,\n \"creationHeight\" -> box.creationHeight.asJson,\n \"additionalRegisters\" -> box.additionalRegisters.asJson,\n \"transactionId\" -> box.transactionId.asJson,\n \"index\" -> box.index.asJson\n )\n})\n\nimplicit val ergoBoxDecoder: Decoder[ErgoBox] = Decoder.instance({ cursor =>\n for {\n value <- cursor.downField(\"value\").as[Long]\n ergoTreeBytes <- cursor.downField(\"ergoTree\").as[Array[Byte]]\n additionalTokens <- cursor.downField(\"assets\").as[Seq[(ErgoBox.TokenId, Long)]]\n creationHeight <- cursor.downField(\"creationHeight\").as[Int]\n additionalRegisters <- cursor.downField(\"additionalRegisters\").as[Map[NonMandatoryRegisterId, EvaluatedValue[SType]]]\n transactionId <- cursor.downField(\"transactionId\").as[ModifierId]\n index <- cursor.downField(\"index\").as[Short]\n } yield new ErgoBox(\n value = value,\n ergoTree = ErgoTreeSerializer.DefaultSerializer.deserializeErgoTree(ergoTreeBytes),\n additionalTokens = additionalTokens.toColl,\n additionalRegisters = additionalRegisters,\n transactionId = transactionId,\n index = index,\n creationHeight = creationHeight\n )\n})\n```\n\nThese encoders and decoders can be used in the larger project to serialize and deserialize data when communicating with external systems, storing data, or processing data within the Ergo platform.\n## Questions: \n 1. **Question**: What is the purpose of the `JsonCodecs` trait and how is it used in the project?\n **Answer**: The `JsonCodecs` trait provides implicit JSON encoders and decoders for various data types used in the project. It is used to convert these data types to and from JSON format, which can be useful for communication between different components or for storing data in a human-readable format.\n\n2. **Question**: How are custom encoders and decoders defined for complex data types like `ErgoBox`, `ErgoLikeTransaction`, and `ErgoLikeContext`?\n **Answer**: Custom encoders and decoders for complex data types are defined using the `Encoder.instance` and `Decoder.instance` methods, respectively. These methods take a function that describes how to convert the data type to or from a JSON representation. For example, the `ErgoBox` encoder is defined as `Encoder.instance({ box => ... })`, where the function inside the instance method describes how to convert an `ErgoBox` object to a JSON object.\n\n3. **Question**: What is the purpose of the `fromTry`, `fromOption`, and `fromThrows` methods, and how are they used in the code?\n **Answer**: The `fromTry`, `fromOption`, and `fromThrows` methods are utility functions that help in handling errors while decoding JSON data. They convert a `Try`, `Option`, or a block that may throw an exception, respectively, into an `Either[DecodingFailure, T]`. This allows for a more consistent error handling approach when decoding JSON data, as any errors encountered can be represented as a `DecodingFailure` and handled accordingly. These methods are used throughout the code in various custom decoders.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.md"}}],["427",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.scala)\n\nThe code defines a class called `Prover` that provides methods for signing transactions and messages using the Ergo blockchain platform. The class takes two parameters: `_prover`, which is an instance of `AppkitProvingInterpreter`, and `networkPrefix`, which is an instance of `ErgoAddressEncoder.NetworkPrefix`. \n\nThe `Prover` class has several methods that allow for the creation of various types of addresses and the signing of transactions and messages. The `getP2PKAddress` method returns a `P2PKAddress` object, which is a pay-to-public-key address that can be used to receive funds. The `getSecretKey` method returns the private key associated with the `P2PKAddress` object. The `getEip3Addresses` method returns a sequence of `P2PKAddress` objects that can be used to receive funds.\n\nThe `sign` method is used to sign a transaction. It takes an `ErgoLikeStateContext` object, which represents the current state of the blockchain, and an `UnreducedTransaction` object, which is the transaction to be signed. The method returns a `SignedTransaction` object, which is the signed version of the transaction. The `sign` method can also take an optional `baseCost` parameter, which is used to specify the minimum cost of executing the transaction.\n\nThe `signMessage` method is used to sign a message. It takes a `SigmaProp` object, which is a cryptographic primitive used in the Ergo platform, a byte array representing the message to be signed, and a `HintsBag` object, which is used to provide additional information about the signing process. The method returns a byte array representing the signature of the message.\n\nThe `reduce` method is used to reduce an `UnreducedTransaction` object to a `ReducedTransaction` object. The reduction process removes unnecessary data from the transaction, making it smaller and easier to process. The method takes an `ErgoLikeStateContext` object, an `UnreducedTransaction` object, and a `baseCost` parameter, which is used to specify the minimum cost of executing the transaction. The method returns a `ReducedTransaction` object.\n\nThe `signReduced` method is used to sign a `ReducedTransaction` object. It takes a `ReducedTransaction` object and returns a `SignedTransaction` object.\n\nOverall, the `Prover` class provides a set of methods that can be used to sign transactions and messages on the Ergo blockchain platform. These methods can be used in conjunction with other classes and methods in the Ergo SDK to build applications that interact with the blockchain.\n## Questions: \n 1. What is the purpose of the `Prover` class?\n- The `Prover` class provides methods for generating and signing transactions using an `AppkitProvingInterpreter` and a specified network prefix.\n\n2. What is the significance of the `ErgoAddressEncoder` and `NetworkPrefix` imports?\n- The `ErgoAddressEncoder` and `NetworkPrefix` imports are used to encode and decode Ergo addresses with a specified network prefix.\n\n3. What is the purpose of the `signMessage` method?\n- The `signMessage` method is used to sign a message with a specified `SigmaProp` and `HintsBag` using the `AppkitProvingInterpreter`.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.md"}}],["428",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.scala)\n\nThe `ProverBuilder` class is a part of the Ergo Platform SDK and is used to build a `Prover` object that can be used to create proofs for transactions on the Ergo blockchain. The `ProverBuilder` class provides methods to add various types of secrets to the prover, such as mnemonic phrases, Diffie-Hellman tuples, and discrete logarithms.\n\nThe `ProverBuilder` constructor takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` object contains various parameters that define the context in which the prover will operate, such as the block height, the minimum box value, and the cost of executing scripts. The `NetworkPrefix` object specifies the network prefix of the Ergo blockchain, which is used to encode and decode Ergo addresses.\n\nThe `ProverBuilder` class has several methods that can be used to add secrets to the prover. The `withMnemonic` method takes a `mnemonicPhrase` and a `mnemonicPass` of type `SecretString` and a `usePre1627KeyDerivation` of type `Boolean`. The `mnemonicPhrase` is a BIP-39 mnemonic phrase that can be used to generate a master key for the prover. The `mnemonicPass` is an optional passphrase that can be used to further secure the mnemonic phrase. The `usePre1627KeyDerivation` flag specifies whether to use the pre-1627 key derivation scheme or the post-1627 key derivation scheme. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withEip3Secret` method takes an `index` of type `Int` and generates a secret key using the EIP-3 key derivation scheme. The method requires that a master key has already been added using the `withMnemonic` method. The generated secret key is paired with its derivation path index and added to the `_eip2Keys` array buffer. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withDHTData` method takes a `g`, `h`, `u`, `v`, and `x` of types `GroupElement` and `BigInteger`. These parameters are used to create a Diffie-Hellman tuple prover input using the `JavaHelpers.createDiffieHellmanTupleProverInput` method. The resulting prover input is added to the `_dhtSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withDLogSecret` method takes an `x` of type `BigInteger` and creates a discrete logarithm prover input using the `DLogProtocol.DLogProverInput` constructor. The resulting prover input is added to the `_dLogSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `build` method creates a `Prover` object using the secrets that have been added to the `ProverBuilder`. The method first combines the master key and the EIP-3 secret keys into a single sequence of secret keys. It then creates an `AppkitProvingInterpreter` object using the secret keys, DLog secrets, DHT secrets, and ErgoLikeParameters. Finally, it creates a `Prover` object using the `AppkitProvingInterpreter` and the `networkPrefix`. The `Prover` object can be used to create proofs for transactions on the Ergo blockchain.\n\nExample usage:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.MainnetPrefix\nval proverBuilder = new ProverBuilder(parameters, networkPrefix)\nproverBuilder.withMnemonic(mnemonicPhrase, mnemonicPass, usePre1627KeyDerivation)\nproverBuilder.withEip3Secret(index)\nproverBuilder.withDHTData(g, h, u, v, x)\nproverBuilder.withDLogSecret(x)\nval prover = proverBuilder.build()\n```\n## Questions: \n 1. What is the purpose of the ProverBuilder class?\n- The ProverBuilder class is used to build a Prover object that can be used to create proofs for Ergo transactions.\n\n2. What are the inputs required to create a ProverBuilder object?\n- A ProverBuilder object requires an ErgoLikeParameters object and a NetworkPrefix object as inputs.\n\n3. What are the different methods available in the ProverBuilder class?\n- The ProverBuilder class has methods for adding a mnemonic phrase, adding EIP-3 secret keys, adding Diffie-Hellman tuple secrets, adding DLog secrets, and building a Prover object.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.md"}}],["429",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.scala)\n\n# ReducingInterpreter Class\n\nThe `ReducingInterpreter` class is a part of the Ergo Platform SDK and is used to reduce transactions with given chain parameters. The class extends the `ErgoLikeInterpreter` class and overrides its `CTX` type with `ErgoLikeContext`. It also imports various classes and objects from the SDK and other libraries.\n\n## reduce Method\n\nThe `reduce` method takes in three parameters: `env`, `ergoTree`, and `context`. It reduces the given `ErgoTree` in the given context to the sigma proposition. The method returns a data object containing enough data to sign a transaction without context. \n\nThe `initCost` is calculated by adding the complexity of the `ErgoTree` and the `initCost` of the context. If the `remainingLimit` is less than or equal to 0, a `CostLimitException` is thrown. The `ctxUpdInitCost` is the context with the updated `initCost`. The `fullReduction` method is called with the `ergoTree`, `ctxUpdInitCost`, and `env` as parameters. The result of the `fullReduction` method and the `extension` of the `ctxUpdInitCost` are used to create a `ReducedInputData` object which is returned.\n\n## reduceTransaction Method\n\nThe `reduceTransaction` method takes in three parameters: `unreducedTx`, `stateContext`, and `baseCost`. It reduces inputs of the given unsigned transaction to provable sigma propositions using the given context. The method returns a new reduced transaction with all inputs reduced and the cost of this transaction. \n\nThe `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` are extracted from the `unreducedTx`. The `inputTokens` and `outputTokens` are extracted from the `boxesToSpend` and `unsignedTx.outputCandidates`, respectively. The `tokenDiff` is calculated by subtracting `inputTokens` from `outputTokens`. If `tokenDiff` is not empty, the method checks if tokens are to be burnt or minted. If tokens are to be burnt, the method checks if the requested tokens to burn match the tokens to be burnt. If tokens are to be minted, the method checks if only one token is being minted and if the token id is valid. \n\nThe `initialCost` is calculated by adding the interpreter initialization cost, the input cost multiplied by the number of inputs, the data input cost multiplied by the number of data inputs, and the output cost multiplied by the number of output candidates. The `maxCost` is the maximum cost of the block. The `startCost` is the sum of the `baseCost` and the `initialCost`. The `transactionContext` is created with the boxes to spend, data inputs, and unsigned transaction. The `outAssets` and `outAssetsNum` are extracted from the `unsignedTx.outputCandidates`. The `inAssets` and `inAssetsNum` are extracted from the `boxesToSpend`. The `totalAssetsAccessCost` is calculated by adding the token access cost multiplied by the sum of `outAssetsNum` and `inAssetsNum` and the token access cost multiplied by the sum of the sizes of `inAssets` and `outAssets`. The `txCost` is the sum of the `startCost` and the `totalAssetsAccessCost`. \n\nThe method then iterates through the `boxesToSpend` and creates a new `ErgoLikeContext` for each input. The `reduce` method is called with the `Interpreter.emptyEnv`, the `ergoTree` of the input box, and the context as parameters. The result of the `reduce` method and the `currentCost` are used to create a `ReducedInputData` object which is added to the `reducedInputs` array builder. The `ReducedErgoLikeTransaction` is created with the `unsignedTx` and the `reducedInputs`. The `ReducedTransaction` is created with the `reducedTx` and the `currentCost`. \n\nOverall, the `ReducingInterpreter` class provides methods to reduce an `ErgoTree` to a sigma proposition and to reduce inputs of an unsigned transaction to provable sigma propositions using a given context.\n## Questions: \n 1. What is the purpose of the `ReducingInterpreter` class?\n- The `ReducingInterpreter` class is an interpreter that can reduce transactions with given chain parameters.\n\n2. What methods does the `ReducingInterpreter` class have?\n- The `ReducingInterpreter` class has two methods: `reduce` and `reduceTransaction`.\n\n3. What exceptions can be thrown by the `reduce` method?\n- The `reduce` method can throw a `CostLimitException` if the estimated execution cost exceeds the limit.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.md"}}],["430",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.scala)\n\nThe code defines a class called SecretString that encapsulates a secret array of characters (char[]) with proper equality. The class provides a more secure and safe way of handling secret data than using char[] directly. The secret data can be erased in memory and not leaked to GC. \n\nThe SecretString class has several methods that allow for creating new instances, checking if the string is empty, extracting secret characters as an array, erasing secret characters stored in the instance, and returning an unsecured String with secret characters. \n\nThe create method creates a new instance of SecretString by wrapping the given characters or copying characters from the given String. The empty method creates a new instance with an empty sequence of characters. \n\nThe SecretString class has a private erased flag that is set to true when the erase method is called. Calling any methods after erase() will throw a runtime exception. The checkErased method is used to check if the SecretString is erased before executing any method. \n\nThe getData method returns the secret characters as an array. The erase method erases the secret characters stored in the instance so that they are no longer in memory. The toStringUnsecure method returns an unsecured String with secret characters. The secret characters are copied to the new String instance and cannot be erased in memory. \n\nThe SecretString class is a useful tool for securely handling secret data in a project. It can be used to create new instances of SecretString with secret data, erase secret data stored in an instance, and extract secret data as an array. The class provides a more secure and safe way of handling secret data than using char[] directly.\n## Questions: \n 1. What is the purpose of the SecretString class?\n- The SecretString class encapsulates a secret array of characters with proper equality and allows for the data to be erased in memory to prevent leakage to the garbage collector. It is more secure and safe than using char[] directly.\n\n2. How can a new instance of SecretString be created?\n- A new instance of SecretString can be created using the static methods `create` with either an array of characters or a String, or `empty` to create an instance with an empty sequence of characters.\n\n3. What is the purpose of the `erase` method and what happens when it is called?\n- The `erase` method erases the secret characters stored in the instance so that they no longer reside in memory. When called, it fills the array with spaces and sets the erased flag to true. Any subsequent method calls on the instance will throw a runtime exception.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.md"}}],["431",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.scala)\n\nThe code defines three case classes: `UnreducedTransaction`, `ReducedTransaction`, and `SignedTransaction`. These classes represent different stages of a transaction in the Ergo blockchain platform. \n\n`UnreducedTransaction` represents a transaction that can be reduced to a `ReducedTransaction`. It takes in four parameters: `unsignedTx`, `boxesToSpend`, `dataInputs`, and `tokensToBurn`. `unsignedTx` is the original unsigned transaction that holds the message to sign. `boxesToSpend` is a sequence of input boxes of the transaction. `dataInputs` is a sequence of data inputs of the transaction. `tokensToBurn` is a sequence of requested tokens to be burnt in the transaction. If it is empty, no burning is allowed. The class also has two `require` statements that check if the length of `unsignedTx.inputs` is equal to the length of `boxesToSpend` and if the length of `unsignedTx.dataInputs` is equal to the length of `dataInputs`. It also has a private method `checkSameIds` that checks if the box ids of `unsignedTx.inputs` and `boxesToSpend` are the same and if the box ids of `unsignedTx.dataInputs` and `dataInputs` are the same.\n\n`ReducedTransaction` represents the result of a transaction reduction by `ReducingInterpreter`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the reduced transaction, and `cost` is the cost of the reduction.\n\n`SignedTransaction` represents the result of a transaction signing by a prover like `Prover`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the signed transaction, and `cost` is the cost of the signing.\n\nThese classes are used in the larger Ergo blockchain platform to represent different stages of a transaction. For example, `UnreducedTransaction` is used to represent an unsigned transaction that needs to be reduced to a `ReducedTransaction`. `ReducedTransaction` is used to represent the result of the reduction, and `SignedTransaction` is used to represent the result of signing the transaction. These classes can be used in conjunction with other classes and methods in the Ergo platform to create, validate, and execute transactions on the blockchain. \n\nExample usage:\n\n```scala\nval unsignedTx = new UnsignedErgoLikeTransaction(...)\nval boxesToSpend = IndexedSeq(new ExtendedInputBox(...), new ExtendedInputBox(...))\nval dataInputs = IndexedSeq(new ErgoBox(...), new ErgoBox(...))\nval tokensToBurn = IndexedSeq(new ErgoToken(...), new ErgoToken(...))\nval unreducedTx = UnreducedTransaction(unsignedTx, boxesToSpend, dataInputs, tokensToBurn)\n\nval reducingInterpreter = new ReducingInterpreter(...)\nval reducedTx = reducingInterpreter.reduce(unreducedTx)\n\nval prover = new Prover(...)\nval signedTx = prover.sign(reducedTx)\n```\n## Questions: \n 1. What is the purpose of the `UnreducedTransaction` class and its parameters?\n- The `UnreducedTransaction` class represents a transaction data that can be reduced to `ReducedTransaction`. Its parameters include the original unsigned transaction to be reduced, input boxes of the transaction, data inputs of the transaction, and requested tokens to be burnt in the transaction.\n\n2. What is the purpose of the `checkSameIds` method?\n- The `checkSameIds` method is a private helper method that checks if two sequences of box IDs have the same IDs in the same order. It is used to ensure that `unsignedTx` and `boxesToSpend`, as well as `unsignedTx` and `dataInputs`, have the same box IDs in the same order.\n\n3. What is the purpose of the `SignedTransaction` case class?\n- The `SignedTransaction` case class represents the results for transaction signing by a prover like `Prover`. Its parameters include the signed transaction and the cost of signing the transaction.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.md"}}],["432",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.scala)\n\nThe `Utils` object contains several utility functions that can be used across the project. \n\nThe `outerJoin` function performs an outer join operation between two maps, `left` and `right`. It takes three projection functions as arguments: `l`, `r`, and `inner`. The `l` function is executed for each element of the `left` map, the `r` function is executed for each element of the `right` map, and the `inner` function is executed for matching items `(K, L)` and `(K, R)` with the same key `K`. The function returns a map of `(K, O)` pairs, where each key comes from either the `left` or `right` map and values are produced by the projections. \n\nThe `mapReduce` function is a performance-optimized deterministic mapReduce primitive. It takes an array `arr` to be mapped to `(K, V)` pairs, a mapper function `m`, and a value reduction function `r`. The function returns a pair of arrays `(keys, values)`, where keys appear in the order of their first production by `m`, and for each `i`, `values(i)` corresponds to `keys(i)`. \n\nThe `mapToArrays` function takes a map `m` and returns a pair of arrays `(keys, values)`, where `keys` contains all the keys in the map, and `values` contains all the values in the map. \n\nThe `IntegralFromExactIntegral` class can adapt an `ExactIntegral` instance to be used where `Integral` is required. It overrides all the methods of the `Integral` trait and delegates them to the corresponding methods of the `ExactIntegral` instance. \n\nThese utility functions can be used in various parts of the project to perform common operations such as joining maps, mapping and reducing arrays, and adapting instances of `ExactIntegral` to be used as `Integral`. \n\nExample usage of `outerJoin`:\n\n```\nval left = Map(\"a\" -> 1, \"b\" -> 2)\nval right = Map(\"b\" -> 3, \"c\" -> 4)\n\nval result = Utils.outerJoin(left, right)(\n (k, l) => l.toString,\n (k, r) => r.toString,\n (k, l, r) => s\"$l and $r\"\n)\n\n// result: Map(a -> 1, b -> 2 and 3, c -> 4)\n```\n\nExample usage of `mapReduce`:\n\n```\nval arr = Array(1, 2, 3, 4, 5)\n\nval (keys, values) = Utils.mapReduce(arr, (i: Int) => (i % 2, i), (v1: Int, v2: Int) => v1 + v2)\n\n// keys: Array(1, 0)\n// values: Array(6, 9)\n```\n\nExample usage of `mapToArrays`:\n\n```\nval m = Map(\"a\" -> 1, \"b\" -> 2, \"c\" -> 3)\n\nval (keys, values) = Utils.mapToArrays(m)\n\n// keys: Array(a, b, c)\n// values: Array(1, 2, 3)\n```\n## Questions: \n 1. What does the `outerJoin` function do and how does it handle matching items?\n- The `outerJoin` function performs an outer join operation between two maps, with optional projection functions for each map and a projection function for matching items. It returns a map of (K, O) pairs, where each key comes from either the left or right collection and values are produced by projections. Matching items are handled by executing the inner projection function for (K, L, R) pairs with the same key K.\n\n2. What is the purpose of the `mapReduce` function and how is it optimized for performance?\n- The `mapReduce` function is a performance-optimized deterministic mapReduce primitive that maps an array to (K, V) pairs and reduces values by key. It returns a pair of arrays (keys, values), where keys appear in order of their first production by the mapper function and values correspond to keys. It is optimized for performance by using a HashMap to track key positions and an ArrayBuilder to construct the keys and values arrays.\n\n3. What is the `IntegralFromExactIntegral` class and how does it adapt an `ExactIntegral` instance?\n- The `IntegralFromExactIntegral` class adapts an `ExactIntegral` instance to be used where `Integral` is required. It overrides the `Integral` methods with equivalent methods from `ExactIntegral`. It also provides a `parseString` method that throws a `NotImplementedError` since it is not supported by `ExactIntegral`.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.md"}}],["433",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala)\n\nThe `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides two methods for performing arithmetic operations on `Long` values. The first method, `addExact`, adds two `Long` values and returns the result. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the bitwise XOR operator to check for overflow. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred.\n\nThe second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method.\n\nThe third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead.\n\nThese methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element. \n\nExample usage:\n\n```\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval c = 2L\nval d = 3L\nval sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue\n```\n## Questions: \n 1. What is the purpose of the `ArithUtils` object?\n- The `ArithUtils` object provides methods for performing arithmetic operations on long values while handling overflow conditions.\n\n2. What does the `addExact` method do?\n- The `addExact` method adds two or more long values and returns the sum, but if there is any overflow, it returns `Long.MaxValue`.\n\n3. What does the `multiplyExact` method do?\n- The `multiplyExact` method multiplies two long values and returns the product, but if there is any overflow, it returns `Long.MaxValue`. It uses the `java7.compat.Math.multiplyExact` method to perform the multiplication.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.md"}}],["434",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils)\n\nThe `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides utility methods for performing arithmetic operations on `Long` values with overflow checking. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities.\n\nThe first method, `addExact`, takes two `Long` values as input and returns their sum. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method checks for overflow using the bitwise XOR operator. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval sum = ArithUtils.addExact(a, b) // returns Long.MaxValue\n```\n\nThe second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval c = 2L\nval d = 3L\nval sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue\n```\n\nThe third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 2L\nval product = ArithUtils.multiplyExact(a, b) // returns Long.MaxValue\n```\n\nThese methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.md"}}],["435",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala)\n\nThe `AssetUtils` object provides utility functions for working with token assets in the Ergo blockchain. The functions are designed to work with `TokensMap`, which is a type alias for `Map[ModifierId, Long]`. The `ModifierId` is a unique identifier for a transaction output, and the `Long` value represents the amount of tokens associated with that output.\n\nThe `mergeAssetsMut` function takes a mutable map `into` and one or more `TokensMap` instances `from`. It merges the `from` maps into the `into` map by adding the token amounts for each `ModifierId`. If a `ModifierId` is present in both the `into` and `from` maps, the amounts are added together. This function modifies the `into` map in place.\n\n```scala\nval into: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval from1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval from2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nAssetUtils.mergeAssetsMut(into, from1, from2)\n// into now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `mergeAssets` function is similar to `mergeAssetsMut`, but it returns a new `TokensMap` instead of modifying an existing one. It takes an initial `TokensMap` and one or more additional `TokensMap` instances to merge into it. The resulting `TokensMap` contains the merged token amounts.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval map1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval map2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2)\n// merged contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `subtractAssets` function takes an initial `TokensMap` and one or more `TokensMap` instances to subtract from it. It returns a new `TokensMap` with the token amounts subtracted. If a `ModifierId` is present in both the initial map and the subtractor maps, the amounts are subtracted from the initial map. If the resulting amount is zero, the `ModifierId` is removed from the map.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval subtractor2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nval subtracted: TokensMap = AssetUtils.subtractAssets(initialMap, subtractor1, subtractor2)\n// subtracted contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nThe `subtractAssetsMut` function takes a mutable map `from` and a `TokensMap` `subtractor`. It subtracts the token amounts in the `subtractor` map from the `from` map. If the resulting amount is zero, the `ModifierId` is removed from the `from` map. This function modifies the `from` map in place.\n\n```scala\nval from: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nAssetUtils.subtractAssetsMut(from, subtractor)\n// from now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nOverall, these utility functions provide a convenient way to work with token assets in the Ergo blockchain. They can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens.\n## Questions: \n 1. What is the purpose of the `AssetUtils` object?\n- The `AssetUtils` object provides utility functions for merging and subtracting token maps.\n\n2. What is the difference between the `mergeAssetsMut` and `mergeAssets` functions?\n- The `mergeAssetsMut` function takes a mutable map as its first argument and modifies it in place, while the `mergeAssets` function returns a new map without modifying the original.\n\n3. What happens if the `subtractAssets` function is called with a negative amount for a token or with an amount greater than the current balance?\n- The function will throw an exception with an appropriate error message indicating that the subtraction is invalid.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.md"}}],["436",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala)\n\nThe code defines a set of constants used in the Ergo Platform SDK wallet. The `Constants` object contains several values that are used throughout the project. \n\nThe `ModifierIdLength` constant is used to specify the length of the modifier ID in the protocol and should not be changed. \n\nThe `CoinType` constant is used to define the coin type for the wallet. It is calculated based on the ASCII values of the letters in the word \"ergo\" and is used in the derivation path for the wallet. \n\nThe `MaxAssetsPerBox` constant specifies the maximum number of tokens that can be stored in a single box due to a byte size limit for the Ergo box. \n\nThe `preEip3DerivationPath` and `eip3DerivationPath` constants define the derivation paths for the wallet before and after the implementation of EIP-3. These paths are used to generate addresses for the wallet. \n\nThe `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants are used in the generation of mnemonic phrases for the wallet. They specify the allowed sizes for the mnemonic sentence, the allowed strengths for the entropy, and the allowed lengths for the entropy, respectively. \n\nOverall, this code provides a set of constants that are used throughout the Ergo Platform SDK wallet to ensure consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet. \n\nExample usage:\n\n```scala\nimport org.ergoplatform.sdk.wallet.Constants\n\nval coinType = Constants.CoinType\nval maxAssets = Constants.MaxAssetsPerBox\nval preEip3Path = Constants.preEip3DerivationPath\nval eip3Path = Constants.eip3DerivationPath\nval sentenceSizes = Constants.MnemonicSentenceSizes\nval allowedStrengths = Constants.AllowedStrengths\nval allowedLengths = Constants.AllowedEntropyLengths\n```\n## Questions: \n 1. What is the purpose of the `Constants` object?\n- The `Constants` object contains various constants used in the project, such as `ModifierIdLength`, `CoinType`, `MaxAssetsPerBox`, and others.\n\n2. What is the significance of the `preEip3DerivationPath` and `eip3DerivationPath` constants?\n- These constants define the derivation paths used for generating wallet addresses before and after the implementation of EIP-3, respectively.\n\n3. What are the `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants used for?\n- These constants define the allowed sizes and strengths of mnemonic sentences and entropy lengths for generating wallet seeds.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.md"}}],["437",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.scala)\n\nThe code above defines a package object called \"wallet\" within the \"org.ergoplatform.sdk\" package. This package object contains a type alias called \"TokensMap\", which is a Map data structure that maps ModifierId objects to Long values. \n\nThe purpose of this code is to provide a convenient way to represent a mapping of tokens to their corresponding amounts. This can be useful in the context of a cryptocurrency wallet, where a user may hold multiple types of tokens and need to keep track of their balances. \n\nFor example, if a user has 10 Ergo tokens and 5 Bitcoin tokens in their wallet, the TokensMap could be represented as follows:\n\n```\nval tokens: TokensMap = Map(\n ModifierId(\"ErgoToken\") -> 10L,\n ModifierId(\"BitcoinToken\") -> 5L\n)\n```\n\nThis code can be used in conjunction with other parts of the project to implement wallet functionality, such as displaying token balances to the user or performing transactions between different token types. \n\nOverall, the TokensMap type alias provides a simple and flexible way to represent token balances within the Ergo Platform SDK.\n## Questions: \n 1. What is the purpose of the `org.ergoplatform.sdk` package?\n - This package likely contains code related to the Ergo blockchain platform, but without more context it's difficult to determine its specific purpose.\n\n2. What is the significance of the `scorex.util.ModifierId` import?\n - This import likely provides access to a data type used to identify and modify blockchain transactions or blocks.\n\n3. What is the purpose of the `TokensMap` type alias defined in the `wallet` package object?\n - This type alias defines a mapping between `ModifierId` objects and `Long` values, likely used to represent token balances in a cryptocurrency wallet.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.md"}}],["438",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala)\n\nThe code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. \n\nThe trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. \n\nIn addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. \n\nThis code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. \n\nHere is an example of how one of these methods might be used:\n\n```\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\nThis code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console.\n## Questions: \n 1. What is the purpose of this code and what does it do?\n \n This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data.\n\n2. What are the expected data types for the return values of the methods defined in this trait?\n \n The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte.\n\n3. Are all the parameters defined in this trait adjustable via miners voting or just some of them?\n \n It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.md"}}],["439",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala)\n\nThe code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block.\n\nThe case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait.\n\nThis code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated.\n\nHere is an example of how this code might be used in the larger project:\n\n```\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\nIn this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned.\n## Questions: \n 1. What is the purpose of the `ErgoLikeStateContext` trait?\n - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context.\n\n2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`?\n - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`.\n\n3. What is the purpose of the `CErgoLikeStateContext` case class?\n - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.md"}}],["440",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala)\n\nThe code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. \n\nThe TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself.\n\nThe purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext.\n\nOne potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network.\n\nOverall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.\n## Questions: \n 1. What is the purpose of the TransactionContext class?\n- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself.\n\n2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types?\n- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed.\n\n3. What is the meaning of the TODO comment in the code?\n- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.md"}}],["441",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context)\n\nThe `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context` folder contains code related to the Ergo Platform SDK wallet protocol context. This context is essential for managing and validating transactions on the Ergo platform.\n\n**ErgoLikeParameters.scala** defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n**ErgoLikeStateContext.scala** defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n**TransactionContext.scala** is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.md"}}],["442",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol)\n\nThe code in this folder is part of the Ergo Platform SDK wallet protocol and is responsible for managing and validating transactions on the Ergo platform. It consists of three main Scala files: `ErgoLikeParameters.scala`, `ErgoLikeStateContext.scala`, and `TransactionContext.scala`.\n\n`ErgoLikeParameters.scala` defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n`ErgoLikeStateContext.scala` defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n`TransactionContext.scala` is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.\n\nIn summary, the code in this folder is essential for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.md"}}],["443",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala)\n\nThe code defines a class called `DerivationPath` which represents a hierarchical deterministic (HD) key derivation path. The HD key derivation path is a sequence of integers that represents a path from the root of a tree of keys to a particular key. The class has methods to encode and decode the path as a string, to convert the path to a public or private branch, to find the next available path index for a new key, and to check if the path corresponds to a specific derivation path.\n\nThe `DerivationPath` class has a constructor that takes a sequence of integers and a boolean flag indicating whether the path is from the public or private branch. The class has methods to get the depth of the path, the last element of the path, and whether the path is a master path. The class also has methods to create a new path by extending the current path with a new index, increasing the last element of the path, and converting the path to a public or private branch.\n\nThe `DerivationPath` class has a method to encode the path as a parsable string. The method first checks whether the path is from the public or private branch and adds the appropriate prefix to the string. The method then converts each element of the path to a string and adds a forward slash between each element.\n\nThe `DerivationPath` class has a method to find the next available path index for a new key. The method takes a list of previously generated keys and a boolean flag indicating whether to use pre-EIP3 derivation or not. The method first checks whether there are any keys generated and whether the last key is a master key. If there are no keys generated or the last key is a master key, the method returns the first key in the specified derivation path. If the last key corresponds to the EIP-3 derivation path, the method returns a new path with the last element increased by one. Otherwise, the method finds the maximum index of the last non-hardened segment of each key and returns a new path with the last non-hardened segment increased by one.\n\nThe `DerivationPath` class has a method to check whether the path corresponds to the EIP-3 derivation path. The method checks whether the tail of the path matches the first three elements of the EIP-3 derivation path.\n\nThe `DerivationPath` class has a method to convert the path to a byte array using a `DerivationPathSerializer`. The `DerivationPathSerializer` is a Sigma serializer that serializes the path as a sequence of bytes. The `DerivationPathSerializer` has methods to serialize and parse the path.\n\nOverall, the `DerivationPath` class provides a way to represent and manipulate HD key derivation paths. The class can be used in the larger project to generate and manage keys for the Ergo platform. For example, the class can be used to generate new keys for transactions or to manage the keys in a wallet.\n## Questions: \n 1. What is the purpose of the DerivationPath class?\n- The DerivationPath class represents a hierarchical deterministic (HD) key derivation path, as defined in the BIP-32 specification, and provides methods for encoding, decoding, and manipulating such paths.\n\n2. What is the difference between a public and private branch in a derivation path?\n- A public branch in a derivation path corresponds to a chain of public keys, while a private branch corresponds to a chain of private keys. Public branches can be used to derive child public keys, while private branches can be used to derive child private keys.\n\n3. What is the purpose of the DerivationPathSerializer class?\n- The DerivationPathSerializer class is a SigmaSerializer implementation that provides methods for serializing and deserializing DerivationPath objects to and from byte arrays, respectively. This allows for the efficient storage and transmission of HD key derivation paths.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.md"}}],["444",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala)\n\nThe code defines a trait called `ExtendedKey` which is used to represent extended private and public keys in a cryptocurrency wallet. The trait defines two subtypes of extended keys: `k` for private keys and `K` for public keys. Each extended key is represented as a tuple of the key and a chain code `c`. The chain code is a 32-byte value that is identical for corresponding private and public keys. \n\nThe trait also defines a method `child(idx: Int): T` which is used to compute the corresponding child extended key given a parent extended key and an index `idx`. The algorithm to compute the child key depends on whether the child is a hardened key or not, and whether we're talking about private or public keys. The trait does not provide an implementation for this method, but it is expected to be implemented in derived classes.\n\nThe `derive(upPath: DerivationPath): T` method is used to derive a child key from a parent key given a derivation path. The method checks that the given derivation path is compatible with the current path and then iteratively computes the child key using the `child` method. \n\nOverall, this code provides a foundation for working with extended keys in a cryptocurrency wallet. It allows for the computation of child keys from parent keys and provides a way to represent extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. \n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```\n## Questions: \n 1. What is the purpose of the ExtendedKey trait?\n- The ExtendedKey trait defines the basic structure and functionality of extended private and public keys, including the ability to derive child keys.\n\n2. What is the significance of the chain code in extended keys?\n- The chain code is an extra 256 bits of entropy added to both private and public keys, which is identical for corresponding keys and is used in the derivation of child keys.\n\n3. What is the purpose of the derive method in the ExtendedKey trait?\n- The derive method takes a derivation path and returns the corresponding extended key, ensuring that the path is compatible with the current key and using the child method to derive the key.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.md"}}],["445",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala)\n\nThe code defines a class called `ExtendedPublicKey` which represents a public key, its chain code, and its path in a key tree. This class is used in the larger project to derive child public keys from a given parent public key. The `ExtendedPublicKey` class has three fields: `keyBytes`, `chainCode`, and `path`. `keyBytes` is an array of bytes representing the public key, `chainCode` is an array of bytes representing the chain code, and `path` is an instance of the `DerivationPath` class representing the path in the key tree.\n\nThe `ExtendedPublicKey` class has two methods: `key` and `child`. The `key` method returns an instance of `ProveDlog` which represents the public key. The `child` method takes an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. The `ExtendedPublicKey` class also overrides the `equals`, `hashCode`, and `toString` methods.\n\nThe `ExtendedPublicKey` object has a method called `deriveChildPublicKey` which takes a parent public key and an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. This method uses the `CryptoFacade` object to derive the child public key from the parent public key and the index. The `deriveChildPublicKey` method is tail-recursive and supports public key derivation for non-hardened keys.\n\nThe `ExtendedPublicKeySerializer` object defines a serializer for the `ExtendedPublicKey` class. This serializer is used to serialize and deserialize instances of `ExtendedPublicKey` to and from bytes.\n\nOverall, this code provides functionality for deriving child public keys from a given parent public key. This is useful in the larger project for generating a hierarchy of public keys for use in a hierarchical deterministic wallet.\n## Questions: \n 1. What is the purpose of the ExtendedPublicKey class?\n- The ExtendedPublicKey class represents a public key, its chain code, and path in a key tree, following the BIP-0032 specification.\n\n2. What is the purpose of the deriveChildPublicKey method in the ExtendedPublicKey object?\n- The deriveChildPublicKey method is used to derive a child public key from a parent public key, following the BIP-0032 specification.\n\n3. What is the purpose of the ExtendedPublicKeySerializer object?\n- The ExtendedPublicKeySerializer object is used to serialize and deserialize ExtendedPublicKey objects, including their key bytes, chain code, and derivation path.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.md"}}],["446",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala)\n\nThe code defines a class called `ExtendedSecretKey` which represents a secret key, its chain code, and its path in a key tree. The class extends `ExtendedKey` and implements `SecretKey`. It also defines methods for deriving child secret keys, computing public keys, and checking if the key is erased. \n\nThe `ExtendedSecretKey` class is used in the larger project for generating and managing secret keys. It is part of a larger wallet system that allows users to store and manage their cryptocurrency assets. The `ExtendedSecretKey` class is used to derive child keys from a parent key, which is useful for generating a hierarchical deterministic (HD) wallet. HD wallets allow users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. \n\nThe `ExtendedSecretKey` class also provides methods for computing public keys and checking if the key is erased. The `publicKey` method computes the corresponding public key for the secret key, while the `isErased` method checks if the key has been erased (i.e., all bytes are zero). \n\nThe `ExtendedSecretKey` class is serialized using the `SigmaSerializer` interface, which allows instances of the class to be converted to and from byte arrays. The `ExtendedSecretKeySerializer` object provides methods for serializing and deserializing instances of the `ExtendedSecretKey` class. \n\nOverall, the `ExtendedSecretKey` class is an important component of the larger wallet system and provides functionality for generating and managing secret keys. Its methods for deriving child keys and computing public keys make it useful for generating HD wallets, while its serialization methods allow instances of the class to be stored and retrieved from disk.\n## Questions: \n 1. What is the purpose of the ExtendedSecretKey class?\n- The ExtendedSecretKey class represents a secret key, its chain code, and path in a key tree, and is used for key derivation.\n\n2. What is the difference between the deriveChildSecretKey and deriveChildPublicKey methods in the ExtendedSecretKey object?\n- The deriveChildSecretKey method derives a child secret key from a parent secret key, while the deriveChildPublicKey method derives a child public key from a parent secret key.\n\n3. What is the usePre1627KeyDerivation parameter in the deriveMasterKey method of the ExtendedSecretKey object?\n- The usePre1627KeyDerivation parameter is used to specify whether to use the incorrect (previous) BIP32 derivation method, and is expected to be false for new wallets and true for old pre-1627 wallets.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.md"}}],["447",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala)\n\nThe code in this file defines a Scala object called \"Index\" that contains several methods related to indexing and serialization of integers. The purpose of this code is to provide a set of utility functions that can be used by other parts of the project to manage and manipulate indexes.\n\nThe first method defined in the object is \"hardIndex\", which takes an integer as input and returns a new integer with the HardRangeStart value (0x80000000) bitwise ORed with the input integer. This method is used to create a \"hardened\" index, which is a special type of index used in certain cryptographic protocols.\n\nThe second method, \"isHardened\", takes an integer as input and returns a boolean indicating whether the input integer is a hardened index. This method is used to check whether an index is hardened before performing certain operations on it.\n\nThe third method, \"serializeIndex\", takes an integer as input and returns an array of bytes representing the serialized form of the integer. This method is used to convert an index into a format that can be stored or transmitted.\n\nThe fourth method, \"parseIndex\", takes an array of bytes as input and returns the integer value represented by the bytes. This method is used to convert a serialized index back into its original integer form.\n\nOverall, this code provides a set of utility functions that can be used to manage and manipulate indexes in a standardized way. Other parts of the project can use these functions to ensure consistency and compatibility when working with indexes. For example, if a module needs to serialize an index for storage in a database, it can use the \"serializeIndex\" method to ensure that the index is stored in a consistent format. Similarly, if a module needs to check whether an index is hardened before performing a cryptographic operation, it can use the \"isHardened\" method to ensure that the operation is performed correctly.\n## Questions: \n 1. What is the purpose of the `Index` object and its methods?\n - The `Index` object provides methods for working with indexes in a specific range and converting them to and from byte arrays.\n2. What is the significance of the `HardRangeStart` value?\n - The `HardRangeStart` value is used to mark indexes in a specific range as \"hardened\", which is a concept in cryptography that adds additional security to certain operations.\n3. Are there any potential issues with the `serializeIndex` and `parseIndex` methods?\n - It is possible that these methods may not handle edge cases or unexpected input correctly, so it would be important to thoroughly test them and potentially add error handling.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.md"}}],["448",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala)\n\nThis code defines a set of traits and classes for handling secret keys in the Ergo Platform SDK wallet. The purpose of this code is to provide a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. \n\nThe `SecretKey` trait defines a basic interface for secret data, with a single method `privateInput` that returns the private input of a Sigma protocol. This trait is extended by the `PrimitiveSecretKey` trait, which represents a secret that does not have a derivation scheme. \n\nThe `PrimitiveSecretKey` object provides a factory method for creating instances of `PrimitiveSecretKey` from a `SigmaProtocolPrivateInput`. This method uses pattern matching to determine the type of the input and returns either a `DlogSecretKey` or a `DhtSecretKey` instance, depending on the input type. \n\nThe `DlogSecretKey` and `DhtSecretKey` classes represent secret exponents of a group element, i.e. secret `w` such as `h = g^^w`, where `g` is a group generator and `h` is a public key. `DlogSecretKey` represents the secret exponent of a group element in a discrete logarithm group, while `DhtSecretKey` represents the secret exponent of a Diffie-Hellman tuple. Both classes take a private input in the form of a Sigma-protocol private input as a constructor argument. \n\nOverall, this code provides a basic framework for handling secret keys in the Ergo Platform SDK wallet. It allows for the creation of instances of `PrimitiveSecretKey`, which can be used to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples. These secret keys can then be used in other parts of the wallet to perform various cryptographic operations. \n\nExample usage:\n\n```\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```\n## Questions: \n 1. What is the purpose of this code?\n- This code defines traits and case classes for secret keys used in Sigma protocols.\n\n2. What Sigma protocols are supported by this code?\n- The code supports Sigma protocols that use DLogProverInput and DiffieHellmanTupleProverInput.\n\n3. What is the difference between DlogSecretKey and DhtSecretKey?\n- DlogSecretKey represents the secret exponent of a group element, while DhtSecretKey represents the secret exponent of a Diffie-Hellman tuple.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.md"}}],["449",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets)\n\nThe code in this folder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, which allows users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets.\n\n`DerivationPath.scala` defines a class for representing and manipulating HD key derivation paths. It provides methods for encoding and decoding paths, converting paths to public or private branches, finding the next available path index for a new key, and checking if a path corresponds to a specific derivation path. This class can be used to generate new keys for transactions or to manage keys in a wallet.\n\n`ExtendedKey.scala` defines a trait for representing extended private and public keys in a cryptocurrency wallet. It provides methods for computing child keys from parent keys and representing extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum.\n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```\n\n`ExtendedPublicKey.scala` and `ExtendedSecretKey.scala` define classes for representing public and secret keys, their chain codes, and their paths in a key tree. They provide methods for deriving child keys, computing public keys, and checking if a key is erased. These classes are used to generate and manage keys in the larger wallet system.\n\n`Index.scala` provides utility functions for managing and manipulating indexes, such as creating hardened indexes, checking if an index is hardened, and serializing and parsing indexes. These functions ensure consistency and compatibility when working with indexes in other parts of the project.\n\n`SecretKey.scala` defines a set of traits and classes for handling secret keys in the wallet. It provides a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. Instances of `PrimitiveSecretKey` can be created to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples, which can then be used in other parts of the wallet to perform various cryptographic operations.\n\nExample usage:\n\n```scala\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```\n\nOverall, the code in this folder is crucial for managing keys and key derivation paths in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.md"}}],["450",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala)\n\nThe code above defines a Scala package called `org.ergoplatform.sdk.wallet.settings` that contains a case class called `EncryptionSettings` and two implicit objects that implement the `Encoder` and `Decoder` traits from the `io.circe` library. \n\nThe `EncryptionSettings` case class has three parameters: `prf`, `c`, and `dkLen`. These parameters are used to define the encryption parameters for a password-based key derivation function (PBKDF2). The `prf` parameter is a string that represents the pseudo-random function used by the PBKDF2 algorithm. The `c` parameter is an integer that represents the number of iterations used by the PBKDF2 algorithm. The `dkLen` parameter is an integer that represents the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. This object defines a `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object that represents the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`. The values of these fields are obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. This object defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance that represents the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object that represents the `EncryptionSettings` instance. The `as` method is used to extract the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code is used to define the encryption parameters for the PBKDF2 algorithm used by the larger project. The `EncryptionSettings` case class can be used to create instances of the encryption parameters, and the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects can be used to convert instances of the `EncryptionSettings` case class to and from JSON format. This allows the encryption parameters to be stored and retrieved from a file or database. \n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```\n## Questions: \n 1. What is the purpose of the `EncryptionSettings` class?\n- The `EncryptionSettings` class represents encryption parameters, including the pseudo-random function, number of PBKDF2 iterations, and desired bit-length of the derived key.\n\n2. What is the purpose of the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects?\n- The `EncryptionSettingsEncoder` object provides a way to encode `EncryptionSettings` objects as JSON, while the `EncryptionSettingsDecoder` object provides a way to decode JSON into `EncryptionSettings` objects.\n\n3. Why is the `cats.syntax.either._` import needed?\n- The `cats.syntax.either._` import is needed for compatibility with Scala 2.11.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.md"}}],["451",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings)\n\nThe `EncryptionSettings.scala` file is part of the `org.ergoplatform.sdk.wallet.settings` package and provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. The main purpose of this code is to define the encryption parameters, store them in a JSON format, and retrieve them when needed.\n\nThe `EncryptionSettings` case class has three parameters:\n\n- `prf`: A string representing the pseudo-random function used by the PBKDF2 algorithm.\n- `c`: An integer representing the number of iterations used by the PBKDF2 algorithm.\n- `dkLen`: An integer representing the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object representing the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`, with values obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance representing the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object representing the `EncryptionSettings` instance, and the `as` method extracts the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code can be used in the larger project to define encryption parameters for the PBKDF2 algorithm, store them in a JSON format, and retrieve them when needed. This allows the encryption parameters to be stored and retrieved from a file or database.\n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```\n\nIn summary, the `EncryptionSettings.scala` file provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.md"}}],["452",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet)\n\nThe code in the `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet` folder provides essential functionality for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It consists of several Scala files and subfolders, each focusing on a specific aspect of the wallet.\n\n`AssetUtils.scala` provides utility functions for working with token assets in the Ergo blockchain. It offers functions like `mergeAssetsMut`, `mergeAssets`, `subtractAssets`, and `subtractAssetsMut` for merging and subtracting token amounts in `TokensMap`. These functions can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens.\n\n`Constants.scala` defines a set of constants used throughout the Ergo Platform SDK wallet, ensuring consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet.\n\nThe `protocol` subfolder contains code responsible for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution.\n\nThe `secrets` subfolder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, allowing users to efficiently manage multiple cryptocurrency assets.\n\nThe `settings` subfolder contains the `EncryptionSettings.scala` file, which provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings.\n\nExample usage of `AssetUtils`:\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval map1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval map2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2)\n// merged contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nExample usage of `Constants`:\n\n```scala\nimport org.ergoplatform.sdk.wallet.Constants\n\nval coinType = Constants.CoinType\nval maxAssets = Constants.MaxAssetsPerBox\nval preEip3Path = Constants.preEip3DerivationPath\nval eip3Path = Constants.eip3DerivationPath\nval sentenceSizes = Constants.MnemonicSentenceSizes\nval allowedStrengths = Constants.AllowedStrengths\nval allowedLengths = Constants.AllowedEntropyLengths\n```\n\nIn summary, the code in this folder is crucial for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.md"}}],["453",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform)\n\nThe folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/summary.md"}}],["454",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org)\n\nThe code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/org/summary.md"}}],["455",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala)\n\nThe code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/scala/summary.md"}}],["456",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main)\n\nThe code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/main/summary.md"}}],["457",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src)\n\nThe code in the `.autodoc/docs/json/sdk/shared/src` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/src/summary.md"}}],["458",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared)\n\nThe code in the `.autodoc/docs/json/sdk/shared` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.","metadata":{"source":".autodoc/docs/markdown/sdk/shared/summary.md"}}],["459",{"pageContent":"[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk)\n\nThe `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The folder is organized into two subfolders: `js` and `shared`.\n\nThe `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. For example, the `ErgoTree.scala` file allows developers to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nIn summary, the `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, while the `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain.","metadata":{"source":".autodoc/docs/markdown/sdk/summary.md"}}]] \ No newline at end of file diff --git a/.autodoc/docs/data/hnswlib.index b/.autodoc/docs/data/hnswlib.index new file mode 100644 index 0000000000..d7e110dc5e Binary files /dev/null and b/.autodoc/docs/data/hnswlib.index differ diff --git a/.autodoc/docs/json/ci/import_gpg.json b/.autodoc/docs/json/ci/import_gpg.json new file mode 100644 index 0000000000..526692c7f6 --- /dev/null +++ b/.autodoc/docs/json/ci/import_gpg.json @@ -0,0 +1,7 @@ +{ + "fileName": "import_gpg.sh", + "filePath": "ci/import_gpg.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/ci/import_gpg.sh", + "summary": "This code is a Bash script that sets up GPG2 for reading a passphrase from parameters. It is used in the larger project to enable secure communication between different components of the system. \n\nThe script first creates a directory called `.gnupg` in the user's home directory and sets its permissions to 700. It then adds two lines to the `gpg.conf` file: `use-agent` and `pinentry-mode loopback`. These lines configure GPG to use an agent for passphrase management and to use a loopback mechanism for pinentry, which allows the passphrase to be entered via parameters. The script also adds a line to the `gpg-agent.conf` file to allow loopback pinentry. Finally, it sets the permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent.\n\nThe script then decodes the GPG signing key, which should have been previously exported and stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`. The decoded key is saved to a file called `private.key` in the `.gnupg` directory. Finally, the script imports the key using the `gpg` command with the `--import` option.\n\nThis script is used in the larger project to enable secure communication between different components of the system. By setting up GPG2 with passphrase management via parameters, the system can ensure that only authorized users are able to access sensitive information. For example, if the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature. This ensures that the message has not been tampered with and that it was sent by the expected sender. \n\nExample usage of this script in the larger project:\n\n```\n#!/bin/bash\n\n# set up GPG for secure communication\n./setup_gpg.sh\n\n# encrypt and sign a message\necho \"Hello, world!\" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc\n\n# send the encrypted message to the recipient\nsend_message message.asc\n```", + "questions": "1. What is the purpose of this script?\n \n This script sets up gpg2 for reading passphrase from parameters and imports a private key for signing.\n\n2. What is the significance of the environment variable \"GPG_SIGNING_KEY\"?\n \n The environment variable \"GPG_SIGNING_KEY\" contains the base64 encoded private key that is decoded and stored in the ~/.gnupg/private.key file.\n\n3. Why is the \"use-agent\" option added to the gpg.conf file?\n \n The \"use-agent\" option is added to the gpg.conf file to enable the use of the gpg-agent for caching passphrases and avoiding repeated prompts for the passphrase." +} \ No newline at end of file diff --git a/.autodoc/docs/json/ci/summary.json b/.autodoc/docs/json/ci/summary.json new file mode 100644 index 0000000000..b58d965635 --- /dev/null +++ b/.autodoc/docs/json/ci/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "ci", + "folderPath": ".autodoc/docs/json/ci", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/ci", + "files": [ + { + "fileName": "import_gpg.sh", + "filePath": "ci/import_gpg.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/ci/import_gpg.sh", + "summary": "This code is a Bash script that sets up GPG2 for reading a passphrase from parameters. It is used in the larger project to enable secure communication between different components of the system. \n\nThe script first creates a directory called `.gnupg` in the user's home directory and sets its permissions to 700. It then adds two lines to the `gpg.conf` file: `use-agent` and `pinentry-mode loopback`. These lines configure GPG to use an agent for passphrase management and to use a loopback mechanism for pinentry, which allows the passphrase to be entered via parameters. The script also adds a line to the `gpg-agent.conf` file to allow loopback pinentry. Finally, it sets the permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent.\n\nThe script then decodes the GPG signing key, which should have been previously exported and stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`. The decoded key is saved to a file called `private.key` in the `.gnupg` directory. Finally, the script imports the key using the `gpg` command with the `--import` option.\n\nThis script is used in the larger project to enable secure communication between different components of the system. By setting up GPG2 with passphrase management via parameters, the system can ensure that only authorized users are able to access sensitive information. For example, if the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature. This ensures that the message has not been tampered with and that it was sent by the expected sender. \n\nExample usage of this script in the larger project:\n\n```\n#!/bin/bash\n\n# set up GPG for secure communication\n./setup_gpg.sh\n\n# encrypt and sign a message\necho \"Hello, world!\" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc\n\n# send the encrypted message to the recipient\nsend_message message.asc\n```", + "questions": "1. What is the purpose of this script?\n \n This script sets up gpg2 for reading passphrase from parameters and imports a private key for signing.\n\n2. What is the significance of the environment variable \"GPG_SIGNING_KEY\"?\n \n The environment variable \"GPG_SIGNING_KEY\" contains the base64 encoded private key that is decoded and stored in the ~/.gnupg/private.key file.\n\n3. Why is the \"use-agent\" option added to the gpg.conf file?\n \n The \"use-agent\" option is added to the gpg.conf file to enable the use of the gpg-agent for caching passphrases and avoiding repeated prompts for the passphrase." + } + ], + "folders": [], + "summary": "The `import_gpg.sh` script in the `.autodoc/docs/json/ci` folder is a crucial component for enabling secure communication between different parts of the system. It sets up GPG2 (GNU Privacy Guard) with passphrase management via parameters, ensuring that only authorized users can access sensitive information.\n\nThe script performs the following tasks:\n\n1. Creates a `.gnupg` directory in the user's home directory with permissions set to 700.\n2. Configures GPG to use an agent for passphrase management and loopback mechanism for pinentry by adding `use-agent` and `pinentry-mode loopback` lines to the `gpg.conf` file.\n3. Allows loopback pinentry by adding a line to the `gpg-agent.conf` file.\n4. Sets permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent.\n5. Decodes the GPG signing key, which should be stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`, and saves it to a `private.key` file in the `.gnupg` directory.\n6. Imports the key using the `gpg` command with the `--import` option.\n\nThis script is essential for secure communication in the larger project. For instance, when the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature, ensuring the message's integrity and authenticity.\n\nHere's an example of how this script might be used in the larger project:\n\n```bash\n#!/bin/bash\n\n# set up GPG for secure communication\n./import_gpg.sh\n\n# encrypt and sign a message\necho \"Hello, world!\" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc\n\n# send the encrypted message to the recipient\nsend_message message.asc\n```\n\nIn this example, the `import_gpg.sh` script is first executed to set up GPG for secure communication. Then, a message is encrypted and signed using the `gpg` command with the recipient's email address. The encrypted message is saved to a file called `message.asc`. Finally, a hypothetical `send_message` function is called to send the encrypted message to the recipient.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.json new file mode 100644 index 0000000000..64e9895fc2 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.json @@ -0,0 +1,27 @@ +{ + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.json b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.json new file mode 100644 index 0000000000..798fcdc7aa --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.json @@ -0,0 +1,7 @@ +{ + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.json new file mode 100644 index 0000000000..af2849c06b --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/summary.json new file mode 100644 index 0000000000..7b73362b10 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/summary.json @@ -0,0 +1,37 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.11/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.11/summary.json new file mode 100644 index 0000000000..609054ec99 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.11/summary.json @@ -0,0 +1,47 @@ +{ + "folderName": "scala-2.11", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.json new file mode 100644 index 0000000000..3446bd1a8d --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.json @@ -0,0 +1,27 @@ +{ + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.json b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.json new file mode 100644 index 0000000000..ba5bc0a104 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.json @@ -0,0 +1,7 @@ +{ + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.json new file mode 100644 index 0000000000..a4e5a66618 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/summary.json new file mode 100644 index 0000000000..bebbb8ef57 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/summary.json @@ -0,0 +1,37 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.12/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.12/summary.json new file mode 100644 index 0000000000..95142b69aa --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.12/summary.json @@ -0,0 +1,47 @@ +{ + "folderName": "scala-2.12", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.json new file mode 100644 index 0000000000..e57247d941 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.json @@ -0,0 +1,27 @@ +{ + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.json b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.json new file mode 100644 index 0000000000..9ef63a24ce --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.json @@ -0,0 +1,7 @@ +{ + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.json new file mode 100644 index 0000000000..3ccf7427cc --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/summary.json new file mode 100644 index 0000000000..837207ff0c --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/summary.json @@ -0,0 +1,37 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala-2.13/summary.json b/.autodoc/docs/json/common/shared/src/main/scala-2.13/summary.json new file mode 100644 index 0000000000..6e52e293ae --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala-2.13/summary.json @@ -0,0 +1,47 @@ +{ + "folderName": "scala-2.13", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/Math.json b/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/Math.json new file mode 100644 index 0000000000..e35145d92f --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/Math.json @@ -0,0 +1,7 @@ +{ + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/summary.json new file mode 100644 index 0000000000..6ede9b7e93 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/java7/compat/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/java7/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/java7/summary.json new file mode 100644 index 0000000000..3103050680 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/java7/summary.json @@ -0,0 +1,27 @@ +{ + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/AnyVals.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/AnyVals.json new file mode 100644 index 0000000000..997dc6e0a5 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/AnyVals.json @@ -0,0 +1,7 @@ +{ + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/DFunc.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/DFunc.json new file mode 100644 index 0000000000..3f4ef7f8bf --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/DFunc.json @@ -0,0 +1,7 @@ +{ + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactIntegral.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactIntegral.json new file mode 100644 index 0000000000..f983222c7d --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactIntegral.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactNumeric.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactNumeric.json new file mode 100644 index 0000000000..6207bf54ef --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactNumeric.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactOrdering.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactOrdering.json new file mode 100644 index 0000000000..0a1193b744 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/ExactOrdering.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/Lazy.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/Lazy.json new file mode 100644 index 0000000000..46bfd7077d --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/Lazy.json @@ -0,0 +1,7 @@ +{ + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/OverloadHack.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/OverloadHack.json new file mode 100644 index 0000000000..66c820101e --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/OverloadHack.json @@ -0,0 +1,7 @@ +{ + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/TypeDesc.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/TypeDesc.json new file mode 100644 index 0000000000..b5762351f8 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/TypeDesc.json @@ -0,0 +1,7 @@ +{ + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/WrapSpec.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/WrapSpec.json new file mode 100644 index 0000000000..907c963ebb --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/WrapSpec.json @@ -0,0 +1,7 @@ +{ + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/package.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/package.json new file mode 100644 index 0000000000..06e421d205 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "common/shared/src/main/scala/scalan/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/package.scala", + "summary": "The code above defines a package object called \"scalan\" which contains several utility functions and values that can be used throughout the project. \n\nThe first function defined is \"rtypeToClassTag\", which allows for implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available. This function takes an implicit parameter of type RType[A] and returns a ClassTag[A]. This function is useful for cases where a ClassTag is needed but not explicitly provided, as it allows the compiler to find the appropriate ClassTag based on the type of the input parameter.\n\nThe next two values defined are \"EmptyArrayOfInt\" and \"EmptySeqOfInt\". These are both immutable empty collections of integers that should be used instead of allocating new empty arrays or sequences. The \"EmptySeqOfInt\" value is backed by the \"EmptyArrayOfInt\" array, and is preferred over using \"Seq[Int]()\" or \"Seq.empty[Int]\". These values are useful for cases where an empty collection of integers is needed, as they avoid unnecessary allocations.\n\nThe final function defined is \"emptyDBufferOfInt\", which creates a new empty buffer around a pre-allocated empty array. This function is preferred over creating an empty debox.Buffer directly because it allows for the avoidance of allocation of the empty array. Note that this function allocates a new Buffer, but the underlying empty array is shared. This is safe because empty arrays are immutable. This function is useful for cases where an empty buffer of integers is needed, as it avoids unnecessary allocations.\n\nOverall, this code provides several utility functions and values that can be used throughout the project to avoid unnecessary allocations and improve performance.", + "questions": "1. What is the purpose of the `implicit def rtypeToClassTag` method?\n \n This method allows implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available.\n\n2. What is the difference between `EmptyArrayOfInt` and `EmptySeqOfInt`?\n \n `EmptyArrayOfInt` is an immutable empty array of integers, while `EmptySeqOfInt` is an immutable empty Seq[Int] backed by an empty array. It is recommended to use `EmptySeqOfInt` instead of `Seq[Int]()` or `Seq.empty[Int]`.\n\n3. Why is `emptyDBufferOfInt` preferred over creating an empty `debox.Buffer` directly?\n \n `emptyDBufferOfInt` creates a new empty buffer around a pre-allocated empty array, which allows avoiding allocation of the empty array. The underlying empty array is shared, which is safe because empty arrays are immutable." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/CommonReflection.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/CommonReflection.json new file mode 100644 index 0000000000..8e5924b921 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/CommonReflection.json @@ -0,0 +1,7 @@ +{ + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/JavaImpl.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/JavaImpl.json new file mode 100644 index 0000000000..40f8d5d2f7 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/JavaImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/RClass.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/RClass.json new file mode 100644 index 0000000000..819b8f901e --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/RClass.json @@ -0,0 +1,7 @@ +{ + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/StaticImpl.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/StaticImpl.json new file mode 100644 index 0000000000..d6663a8539 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/StaticImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/package.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/package.json new file mode 100644 index 0000000000..daac42e376 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/package.scala", + "summary": "The code provided is a Scala package object that contains two methods: `mkMethod` and `mkConstructor`. These methods are used for creating reflective methods and constructors, respectively. \n\nThe `mkMethod` method takes in three parameters: `clazz`, `name`, and `paramTypes`. `clazz` is a `Class` object that represents the class that the method belongs to. `name` is a `String` that represents the name of the method. `paramTypes` is a sequence of `Class` objects that represent the parameter types of the method. The method also takes in a `handler` function that takes in an `Any` object and an array of `AnyRef` objects and returns an `Any` object. The `mkMethod` method returns a tuple that contains a tuple of the method name and parameter types, and an instance of the `SRMethod` class that extends the `RMethod` trait. The `SRMethod` class overrides the `invoke` method of the `RMethod` trait to call the `handler` function with the `obj` and `args` parameters.\n\nThe `mkConstructor` method takes in a single parameter `parameterTypes`, which is an array of `Class` objects that represent the parameter types of the constructor. The method also takes in a `handler` function that takes in an array of `AnyRef` objects and returns an `Any` object. The `mkConstructor` method returns an instance of the `SRConstructor` class that extends the `RConstructor` trait. The `SRConstructor` class overrides the `newInstance` method of the `RConstructor` trait to call the `handler` function with the `args` parameter.\n\nThese methods can be used in a larger project that requires reflective methods and constructors. For example, if a project needs to dynamically create instances of classes or invoke methods on objects at runtime, these methods can be used to achieve that. Here is an example of how the `mkMethod` method can be used:\n\n```\nclass MyClass {\n def myMethod(param1: Int, param2: String): String = {\n s\"$param1 $param2\"\n }\n}\n\nval myClass = new MyClass\nval methodTuple = (\"myMethod\", Seq(classOf[Int], classOf[String]))\nval reflectiveMethod = reflection.mkMethod(classOf[MyClass], methodTuple._1, methodTuple._2) { (obj, args) =>\n obj.asInstanceOf[MyClass].myMethod(args(0).asInstanceOf[Int], args(1).asInstanceOf[String])\n}\nval result = reflectiveMethod._2.invoke(myClass, 1, \"hello\")\nprintln(result) // prints \"1 hello\"\n```\n\nIn this example, we create an instance of the `MyClass` class and use the `mkMethod` method to create a reflective method that calls the `myMethod` method on the `MyClass` instance. We then invoke the reflective method with the `invoke` method and pass in the `MyClass` instance and the method parameters. The result is printed to the console.", + "questions": "1. What is the purpose of the `mkMethod` function?\n- The `mkMethod` function creates a new instance of `SRMethod` with the given class, name, and parameter types, and sets its `invoke` method to the provided `handler` function.\n\n2. What is the difference between `mkMethod` and `mkConstructor`?\n- `mkMethod` creates a new instance of `SRMethod`, while `mkConstructor` creates a new instance of `SRConstructor`. `SRMethod` represents a method of a class, while `SRConstructor` represents a constructor of a class.\n\n3. What is the purpose of the `reflection` package object?\n- The `reflection` package object contains utility functions for working with reflection in Scala, such as `mkMethod` and `mkConstructor`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/summary.json new file mode 100644 index 0000000000..6014b24ff8 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection/summary.json @@ -0,0 +1,38 @@ +{ + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/summary.json new file mode 100644 index 0000000000..bebc54957b --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/summary.json @@ -0,0 +1,157 @@ +{ + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/CollectionUtil.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/CollectionUtil.json new file mode 100644 index 0000000000..8f52b59785 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/CollectionUtil.json @@ -0,0 +1,7 @@ +{ + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/Extensions.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/Extensions.json new file mode 100644 index 0000000000..e220cf80de --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/Extensions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/GraphUtil.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/GraphUtil.json new file mode 100644 index 0000000000..7e32d40f86 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/GraphUtil.json @@ -0,0 +1,7 @@ +{ + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/MemoizedFunc.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/MemoizedFunc.json new file mode 100644 index 0000000000..cae8ed2fb6 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/MemoizedFunc.json @@ -0,0 +1,7 @@ +{ + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/StringUtil.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/StringUtil.json new file mode 100644 index 0000000000..a5f9e687c8 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/StringUtil.json @@ -0,0 +1,7 @@ +{ + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/summary.json new file mode 100644 index 0000000000..6c2d036380 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/scalan/util/summary.json @@ -0,0 +1,45 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/VersionContext.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/VersionContext.json new file mode 100644 index 0000000000..46ed129eee --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/VersionContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/kiama.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/kiama.json new file mode 100644 index 0000000000..34036a606b --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/kiama.json @@ -0,0 +1,7 @@ +{ + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.json new file mode 100644 index 0000000000..7837fc66fa --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.json @@ -0,0 +1,7 @@ +{ + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.json new file mode 100644 index 0000000000..03f20d9221 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.json @@ -0,0 +1,7 @@ +{ + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.json new file mode 100644 index 0000000000..cfe7efcfd8 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.json @@ -0,0 +1,7 @@ +{ + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.json new file mode 100644 index 0000000000..dc88245b47 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/summary.json new file mode 100644 index 0000000000..7df2b13c75 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/summary.json @@ -0,0 +1,66 @@ +{ + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.json new file mode 100644 index 0000000000..97f19edc53 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.json @@ -0,0 +1,7 @@ +{ + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/summary.json new file mode 100644 index 0000000000..2bd0b09bff --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/summary.json new file mode 100644 index 0000000000..793dcefa38 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/summary.json @@ -0,0 +1,91 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/util.json b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/util.json new file mode 100644 index 0000000000..f436860af6 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/util.json @@ -0,0 +1,7 @@ +{ + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/scala/summary.json b/.autodoc/docs/json/common/shared/src/main/scala/summary.json new file mode 100644 index 0000000000..965b59ed2c --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/scala/summary.json @@ -0,0 +1,285 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/main/summary.json b/.autodoc/docs/json/common/shared/src/main/summary.json new file mode 100644 index 0000000000..1bafcfbc51 --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/main/summary.json @@ -0,0 +1,436 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/common/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + }, + { + "folderName": "scala-2.11", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + }, + { + "folderName": "scala-2.12", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + }, + { + "folderName": "scala-2.13", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/src/summary.json b/.autodoc/docs/json/common/shared/src/summary.json new file mode 100644 index 0000000000..b8d5e16f6c --- /dev/null +++ b/.autodoc/docs/json/common/shared/src/summary.json @@ -0,0 +1,446 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/common/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/common/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + }, + { + "folderName": "scala-2.11", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + }, + { + "folderName": "scala-2.12", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + }, + { + "folderName": "scala-2.13", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `main` subfolder.\n\nThe `main` subfolder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/shared/summary.json b/.autodoc/docs/json/common/shared/summary.json new file mode 100644 index 0000000000..5c4adee00c --- /dev/null +++ b/.autodoc/docs/json/common/shared/summary.json @@ -0,0 +1,456 @@ +{ + "folderName": "shared", + "folderPath": ".autodoc/docs/json/common/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/common/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/common/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + }, + { + "folderName": "scala-2.11", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + }, + { + "folderName": "scala-2.12", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + }, + { + "folderName": "scala-2.13", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `main` subfolder.\n\nThe `main` subfolder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `src` subfolder.\n\nThe `src` subfolder contains a `main` subfolder, which in turn contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/common/summary.json b/.autodoc/docs/json/common/summary.json new file mode 100644 index 0000000000..51a30c73df --- /dev/null +++ b/.autodoc/docs/json/common/summary.json @@ -0,0 +1,466 @@ +{ + "folderName": "common", + "folderPath": ".autodoc/docs/json/common", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common", + "files": [], + "folders": [ + { + "folderName": "shared", + "folderPath": ".autodoc/docs/json/common/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/common/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/common/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "java7", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7", + "files": [], + "folders": [ + { + "folderName": "compat", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat", + "files": [ + { + "fileName": "Math.scala", + "filePath": "common/shared/src/main/scala/java7/compat/Math.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala", + "summary": "The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nThe `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\nThe `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown.", + "questions": "1. What is the purpose of this code?\n- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM.\n\n2. What are the input and output of each method?\n- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long.\n\n3. Why are there comments referencing HD 2-12?\n- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers." + } + ], + "folders": [], + "summary": "The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + } + ], + "summary": "The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality.\n\nThe `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type.\n\nFor example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nSimilarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred.\n\nThe `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred.\n\nThese methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method:\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nIf the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan", + "files": [ + { + "fileName": "AnyVals.scala", + "filePath": "common/shared/src/main/scala/scalan/AnyVals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala", + "summary": "The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. \n\nThe Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None.\n\nThe AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. \n\nThe AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. \n\nThese classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class.", + "questions": "1. What is the purpose of the Nullable class?\n \n The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x.\n\n2. What is the purpose of the AVHashMap class?\n \n The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code.\n\n3. How can a new map be created using the AVHashMap class?\n \n A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter." + }, + { + "fileName": "DFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/DFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala", + "summary": "The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. \n\nThe purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified.\n\nThe DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc.\n\nThis class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing.\n\nHere is an example of how a concrete subclass of DFunc could be defined:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n```\n\nThis defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance.", + "questions": "1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`?\n \n The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations.\n\n2. What is the expected behavior of the `apply` method in `DFunc`?\n \n The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`.\n\n3. What is the significance of the `abstract` keyword in the definition of `DFunc`?\n \n The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method." + }, + { + "fileName": "ExactIntegral.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactIntegral.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala", + "summary": "The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. \n\nThe type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. \n\nEach concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. \n\nThe code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. \n\nFor example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. \n\nOverall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. \n\nExample usage:\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```", + "questions": "1. What is the purpose of the `ExactIntegral` trait?\n \n The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`?\n \n Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods.\n\n3. What is the purpose of the `ExactIntegral` object?\n \n The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`." + }, + { + "fileName": "ExactNumeric.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactNumeric.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala", + "summary": "The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised.\n\nThe `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`.\n\nThe `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types.\n\nThis code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used:\n\n```scala\nimport scalan.ExactNumeric._\n\ndef add[T: ExactNumeric](x: T, y: T): T = {\n val n = implicitly[ExactNumeric[T]]\n n.plus(x, y)\n}\n\nval result = add(1000000000, 2000000000) // throws an exception due to overflow\n```", + "questions": "1. What is the purpose of the `ExactNumeric` trait?\n \n The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations.\n\n2. What methods does the `ExactNumeric` trait override?\n \n The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`.\n\n3. How are `ExactNumeric` instances defined for `Int` and `Long`?\n \n `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed." + }, + { + "fileName": "ExactOrdering.scala", + "filePath": "common/shared/src/main/scala/scalan/ExactOrdering.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala", + "summary": "The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations.\n\nThe class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait.\n\nThe object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library.\n\nThis code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. \n\nCode example:\n\n```\nimport scalan.ExactOrdering\n\nval list = List(1.toByte, 2.toByte, 3.toByte)\nval sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering)\n```\n\nIn this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list.", + "questions": "1. What is the purpose of the ExactOrdering trait and how is it implemented?\n \n The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library.\n\n2. What is the purpose of the ExactOrderingImpl class and how is it used?\n \n The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it.\n\n3. What types are supported by the ExactOrdering object and how are they implemented?\n \n The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library." + }, + { + "fileName": "Lazy.scala", + "filePath": "common/shared/src/main/scala/scalan/Lazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala", + "summary": "The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. \n\nThe `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string \"\" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned.\n\nThe `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter.\n\nThis code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. \n\nHere is an example of how the `Lazy` class can be used:\n\n```\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nIn this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed.", + "questions": "1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable?\n \n The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments.\n\n2. Can the `block` parameter of the `Lazy` class be null?\n \n Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`.\n\n3. Is the `Lazy` class thread-safe?\n \n No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms." + }, + { + "fileName": "OverloadHack.scala", + "filePath": "common/shared/src/main/scala/scalan/OverloadHack.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala", + "summary": "The code above defines an object called \"OverloadHack\" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala.\n\nIn Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the \"OverloadHack\" object defines three classes that extend a trait called \"Overloaded\". Each of these classes has a unique \"toString\" method that returns a different string representation of the class.\n\nAdditionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the \"Overloaded1\" and \"Overloaded2\" implicit values to differentiate between them:\n\n```\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nBy including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure.\n\nOverall, the \"OverloadHack\" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures.", + "questions": "1. What is the purpose of this code?\n This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types.\n\n2. How does the trick work?\n The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error.\n\n3. Can this trick be used in other contexts besides Scala?\n It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context." + }, + { + "fileName": "TypeDesc.scala", + "filePath": "common/shared/src/main/scala/scalan/TypeDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala", + "summary": "The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type.\n\nThe RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks.\n\nThe RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable.\n\nOverall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts.", + "questions": "1. What is the purpose of the RType class and its subclasses?\n- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type.\n\n2. What is the purpose of the apply method in the RType object?\n- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope.\n\n3. What is the purpose of the ThunkType class and its implicit conversion method?\n- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values." + }, + { + "fileName": "WrapSpec.scala", + "filePath": "common/shared/src/main/scala/scalan/WrapSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala", + "summary": "The code provided is a Scala trait called \"WrapSpec\". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. \n\nA wrapper specification class is a class that defines how a certain type should be wrapped. For example, the \"OptionWrapSpec\" class may define how an Option type should be wrapped. \n\nBy defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. \n\nHere is an example of how the \"WrapSpec\" trait may be used in the project:\n\n```\nclass MyTypeWrapSpec extends WrapSpec {\n // Define how MyType should be wrapped\n}\n```\n\nIn this example, a new wrapper specification class called \"MyTypeWrapSpec\" is created. This class extends the \"WrapSpec\" trait, which ensures that it implements the common interface for all wrapper specification classes. \n\nOverall, the \"WrapSpec\" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain.", + "questions": "1. What is the purpose of the `WrapSpec` trait?\n \n The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project.\n\n2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait?\n \n Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait.\n\n3. Is there any additional documentation or examples available for using the `WrapSpec` trait?\n \n It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait." + } + ], + "folders": [ + { + "folderName": "reflection", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection", + "files": [ + { + "fileName": "CommonReflection.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala", + "summary": "The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project.\n\nThe classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap.\n\nThe code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods.\n\nOverall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class:\n\n```\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```", + "questions": "1. What is the purpose of the `CommonReflection` object?\n- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime.\n\n2. What is the purpose of the `classes` mutable HashMap?\n- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime.\n\n3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`?\n- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime." + }, + { + "fileName": "JavaImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala", + "summary": "The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. \n\nThe `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached.\n\nThe `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class.\n\nThe remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class.\n\nThe `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches.\n\nThe `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails.", + "questions": "1. What is the purpose of the `JRClass` class?\n- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection.\n\n2. What is the purpose of the `memoize` method?\n- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations.\n\n3. What is the purpose of the `RInvocationException` class?\n- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation." + }, + { + "fileName": "RClass.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/RClass.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala", + "summary": "The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala.\n\nThe `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types.\n\nThe `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor.\n\nThe `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method.\n\nThe `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class.\n\nThe `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes.\n\nThe `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data.\n\nOverall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code.", + "questions": "1. What is the purpose of the `RClass` class and its associated traits and methods?\n- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships.\n\n2. What is the purpose of the `memoize` method in the `RClass` object?\n- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use.\n\n3. What is the purpose of the `classes` HashMap in the `RClass` object?\n- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time." + }, + { + "fileName": "StaticImpl.scala", + "filePath": "common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala", + "summary": "The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime.\n\nThe `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names.\n\nThe `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor.\n\nThe `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types.\n\nThe `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects.\n\nOverall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "1. What is the purpose of the `SRClass` class?\n- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods.\n\n2. What is the difference between `SRField` and `RField`?\n- `SRField` extends `RField` and adds a `name` property to represent the name of the field.\n\n3. What is the purpose of the `SRMethod` class?\n- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation.\n\nThe `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails.\n\nThe `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects.\n\nThe `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements.\n\nOverall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util", + "files": [ + { + "fileName": "CollectionUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala", + "summary": "The CollectionUtil object provides utility functions for working with collections in Scala. \n\nThe `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array.\n\nThe `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code.\n\nThe `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key.\n\nThe `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key.\n\nThe `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results.\n\nThe `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements.\n\nThe `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays.\n\nOverall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections.", + "questions": "1. What is the purpose of the `concatArrays` method and why is it deprecated?\n- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x.\n2. What is the difference between the `createMultiMap` and `joinSeqs` methods?\n- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections.\n3. What is the purpose of the `distinctBy` method and why is it needed?\n- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11." + }, + { + "fileName": "Extensions.scala", + "filePath": "common/shared/src/main/scala/scalan/util/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala", + "summary": "The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. \n\nOne notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. \n\nThe code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. \n\nOverall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. \n\nExample usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\n// Convert between numeric types\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n\n// Perform arithmetic operations with overflow checking\nval sum: Byte = z.addExact(xByte)\nval diff: Short = y.subtractExact(xByte)\nval prod: Byte = z.multiplyExact(xByte)\n\n// Convert boolean values to bytes\nval trueByte: Byte = true.toByte\nval falseByte: Byte = false.toByte\n\n// Add runtime assertions to a value\nval result = x + y + z\nresult.ensuring(_ > 0, _ => s\"Result should be positive but was $result\")\n```", + "questions": "1. What is the purpose of the `Extensions` object and its implicit classes?\n- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`.\n2. What is the purpose of the `toUByte` method?\n- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`.\n3. What is the purpose of the `to256BitValueExact` method?\n- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`." + }, + { + "fileName": "GraphUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala", + "summary": "# GraphUtil Code Explanation\n\nThe `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. \n\nThe `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. \n\nThe `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. \n\nBoth methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. \n\nThese methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. \n\nExample usage:\n\n```\nimport scalan.util.GraphUtil\n\nval graph = Map(\n 1 -> List(2, 3),\n 2 -> List(4),\n 3 -> List(4),\n 4 -> List()\n)\n\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n\nprintln(reachableNodes) // DSet(1, 2, 3, 4)\nprintln(orderedNodes) // DBuffer(4, 2, 3, 1)\n```", + "questions": "1. What is the purpose of the `GraphUtil` object?\n- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm.\n\n2. What is the input format for the `depthFirstSetFrom` method?\n- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set.\n\n3. What is the output format for the `depthFirstOrderFrom` method?\n- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer." + }, + { + "fileName": "MemoizedFunc.scala", + "filePath": "common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala", + "summary": "The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments.\n\nThe `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance.\n\nThe `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use.\n\nThe `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid.\n\nOverall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class:\n\n```\nval memoizedFunc = new MemoizedFunc((x: Int) => {\n // Some expensive computation\n x * x\n})\n\nval result1 = memoizedFunc(5) // Computes result for 5\nval result2 = memoizedFunc(5) // Retrieves cached result for 5\nmemoizedFunc.reset() // Clears the cache\nval result3 = memoizedFunc(5) // Computes result for 5 again\n```", + "questions": "1. What is the purpose of the AVHashMap import?\n - The AVHashMap is used to store the computed results of the function in a hash table for memoization.\n\n2. Can the MemoizedFunc class be used with functions that have multiple arguments?\n - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef.\n\n3. Is it possible to change the size of the hash table used for memoization?\n - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor." + }, + { + "fileName": "StringUtil.scala", + "filePath": "common/shared/src/main/scala/scalan/util/StringUtil.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala", + "summary": "# StringUtil Code Explanation\n\nThe `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. \n\nThe `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output.\n\nThe `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output.\n\nThe `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name.\n\nThe `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components.\n\nThe `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings.\n\nOverall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts.", + "questions": "1. What does the `deepAppend` method do?\n - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`.\n2. What is the purpose of the `cleanFileName` method?\n - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name.\n3. What is the purpose of the `StringUtilExtensions` class?\n - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.\n\n`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage:\n\n```scala\nimport scalan.util.CollectionUtil._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(4, 5, 6)\nval concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6)\n```\n\n`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage:\n\n```scala\nimport scalan.util.Extensions._\n\nval x: Int = 100\nval y: Short = 200\nval z: Byte = 1\n\nval xByte: Byte = x.toByteExact\nval yInt: Int = y.toIntExact\nval zShort: Short = z.toShortExact\n```\n\n`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage:\n\n```scala\nimport scalan.util.GraphUtil\n\nval graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List())\nval starts = debox.Buffer.of(1)\nval neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List()))\n\nval reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours)\nval orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours)\n```\n\n`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage:\n\n```scala\nval memoizedFunc = new MemoizedFunc((x: Int) => x * x)\n\nval result1 = memoizedFunc(5)\nval result2 = memoizedFunc(5)\nmemoizedFunc.reset()\nval result3 = memoizedFunc(5)\n```\n\n`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage:\n\n```scala\nimport scalan.util.StringUtil._\n\nval input = \"example.txt\"\nval cleanName = cleanFileName(input) // \"example-txt\"\n```", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types.\n\nFor example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance:\n\n```scala\nclass IntAddition extends DFunc[Int, Int] {\n def apply(x: Int): Int = x + 1\n}\n\nval addOne = new IntAddition\nval result = addOne(5) // 6\n```\n\nThe `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types:\n\n```scala\nimport scalan.ExactIntegral._\n\nval x: Int = 2147483647\nval y: Int = 1\nval z: Int = x + y // throws ArithmeticException: integer overflow\n```\n\nThe `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources:\n\n```scala\nval lazyValue = Lazy {\n println(\"Computing expensive value...\")\n Thread.sleep(1000)\n 42\n}\n\nprintln(\"Lazy value created.\")\nprintln(lazyValue.value)\nprintln(lazyValue.value)\n```\n\nThe `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures:\n\n```scala\ndef m1(l: List[Int])(implicit o: Overloaded1)\ndef m2(l: List[String])(implicit o: Overloaded2)\n```\n\nThe `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language:\n\n```scala\nval clazz = classOf[Boolean]\nval srClass = CommonReflection.classes.get(clazz)\nif (srClass.isDefined) {\n // do something with srClass\n} else {\n // handle case where clazz is not registered\n}\n```\n\nThe utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate", + "files": [ + { + "fileName": "VersionContext.scala", + "filePath": "common/shared/src/main/scala/sigmastate/VersionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala", + "summary": "The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. \n\nThe `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. \n\nThe `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. \n\nThe `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. \n\nOverall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase.", + "questions": "1. What is the purpose of the VersionContext class?\n- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread.\n\n2. What is the significance of the JitActivationVersion?\n- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions.\n\n3. How can a developer execute a block of code with specific versions using the VersionContext?\n- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters." + }, + { + "fileName": "util.scala", + "filePath": "common/shared/src/main/scala/sigmastate/util.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala", + "summary": "The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`.\n\nThe `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit.\n\nHere is an example of how to use `safeNewArray`:\n\n```scala\nval arr: Array[Int] = util.safeNewArray[Int](10)\n```\n\nThe above code creates a new array of integers with a length of 10 using the `safeNewArray` function.\n\nThe `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project.\n\nHere is an example of how to use `safeConcatArrays_v5`:\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`.\n\nOverall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit.", + "questions": "1. What is the purpose of the `util` object?\n \n The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones.\n\n2. What is the significance of the `MaxArrayLength` constant?\n \n The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown.\n\n3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`?\n \n `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit." + } + ], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama", + "files": [ + { + "fileName": "kiama.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala", + "summary": "The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. \n\nThe `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. \n\nThe code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. \n\nOverall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects.", + "questions": "1. What is the purpose of the Kiama library?\n - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing.\n\n2. What is the purpose of the `util` package?\n - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching.\n\n3. What are the `==>` and `===>` type constructors used for?\n - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions." + } + ], + "folders": [ + { + "folderName": "rewriting", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting", + "files": [ + { + "fileName": "CallbackRewriter.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala", + "summary": "The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term.\n\nThe `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms.\n\nThe `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms.\n\nThe `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product.\n\nOverall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.", + "questions": "1. What is the purpose of the `CallbackRewriter` trait?\n \n The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened.\n\n2. What is the `rewriting` method used for?\n \n The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term.\n\n3. How does the `dispatch` method work?\n \n The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns." + }, + { + "fileName": "PlusStrategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala", + "summary": "## Code Explanation: PlusStrategy\n\nThe `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once.\n\nThe `PlusStrategy` class has three properties:\n\n1. `left`: The left alternative of the choice.\n2. `right`: The right alternative of the choice.\n3. `s`: The strategy itself (lazily computed).\n\nThe `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties.\n\nThe `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it.\n\nThis class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.", + "questions": "1. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator.\n\n2. What are `p` and `q` in the `PlusStrategy` class?\n- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively.\n\n3. What is the `apply` method in the `PlusStrategy` class?\n- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice." + }, + { + "fileName": "Strategy.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala", + "summary": "The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. \n\nThe `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term.\n\nThese strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example:\n\n```\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.", + "questions": "1. What is the purpose of this code?\n- This code defines a set of strategies for rewriting terms of any type.\n\n2. What is the difference between the `<*` and `<+` methods?\n- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term.\n\n3. What is the purpose of the `PlusStrategy` class?\n- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method." + } + ], + "folders": [], + "summary": "The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting.\n\n**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms.\n\n**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example:\n\n```scala\nval p = new PlusStrategy(s1, s2)\nval result = p.apply(input)\n```\n\nIn this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result.\n\n**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nOverall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util", + "files": [ + { + "fileName": "Comparison.scala", + "filePath": "common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala", + "summary": "# Kiama Comparison Utility Module\n\nThe `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package.\n\n## `same(v1: Any, v2: Any): Boolean`\n\nThis method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same.\n\n## `TOrdering[T]`\n\nThis is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones.\n\n## `sameCollection(v1: Any, v2: Any): Boolean`\n\nThis method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean`\n\nThis method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same.\n\n## `optsame(v1: Any, v2: Any): Boolean`\n\nThis method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference.\n\n## `contains[T](s: Iterable[T], t: T): Boolean`\n\nThis method checks whether the iterable `s` contains `t`. Equality is tested using `same`.\n\n## `distinct[T](s: Seq[T]): Vector[T]`\n\nThis method returns a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]`\n\nThis method is similar to `distinct`, but it works over a sequence of sequences.\n\n## `indexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n## `lastIndexOf[T](s: Seq[T], elem: T): Int`\n\nThis method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\nOverall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project.", + "questions": "1. What is the purpose of the `Comparison` object?\n- The `Comparison` object is a utility module for comparison routines.\n\n2. What is the difference between the `same` and `optsame` methods?\n- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference.\n\n3. What does the `distinct` method do?\n- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where \"distinct\" means compare using `same`." + } + ], + "folders": [], + "summary": "The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nFor example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same.\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nThe `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order.\n\n```scala\nval list1 = List(1, 2, 3)\nval list2 = List(1, 2, 3)\nval list3 = List(1, 2, 4)\nprintln(sameCollection(list1, list2)) // true\nprintln(sameCollection(list1, list3)) // false\n```\n\nThe `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. \"Distinct\" in this case means compare using `same`.\n\n```scala\nval seq = Seq(1, 2, 2, 3, 3, 3)\nval distinctSeq = distinct(seq)\nprintln(distinctSeq) // Vector(1, 2, 3)\n```\n\nThe `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`.\n\n```scala\nval seq = Seq(\"apple\", \"banana\", \"orange\")\nprintln(indexOf(seq, \"banana\")) // 1\nprintln(indexOf(seq, \"grape\")) // -1\n```\n\nIn summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks.\n\nFor example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used:\n\n```scala\nval square: Int ==> Int = {\n case x if x >= 0 => x * x\n}\n\nval increment: Int ===> Int = {\n case x if x < 10 => x + 1\n}\n```\n\nIn this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks.\n\nThe `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms:\n\n```scala\nval expr: Expr = ... // some expression\nval rules: Strategy = ... // set of rewriting strategies\nval simplified = rules(expr).getOrElse(expr)\n```\n\nThis code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn.\n\nThe `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values:\n\n```scala\nval a = (1, 2)\nval b = (1, 2)\nval c = a\nprintln(same(a, b)) // false\nprintln(same(a, c)) // true\n```\n\nIn summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase.\n\nFor example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method:\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nThe `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project.\n\nIn summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`.\n\nThe `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type.\n\n```scala\nval result = Math.addExact(2, 3) // result is 5\n```\n\nThe `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version.\n\n```scala\nval versionContext = VersionContext(activatedVersion, ergoTreeVersion)\nif (versionContext.isJitActivated) {\n // Use JIT costing interpreter\n} else {\n // Use another interpreter\n}\n```\n\nThe `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit.\n\n```scala\nval arr1: Array[Int] = Array(1, 2, 3)\nval arr2: Array[Int] = Array(4, 5, 6)\nval result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + }, + { + "folderName": "scala-2.11", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input.\n\nThe third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input.\n\nThe second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C.\n\nOverall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries.", + "questions": "1. What is the purpose of this file?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What external libraries or dependencies does this file use?\n- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library.\n\n3. What is the license for this code?\n- This code is licensed under the Mozilla Public License, version 2.0." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n### Converting Java collections to Scala collections\n\nThe first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n### Converting Scala collections to Java collections\n\nThe second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input:\n\n```scala\nimport scala.collection.immutable.HashMap\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = HashMap(\"one\" -> 1, \"two\" -> 2)\nval javaMap = mapToJavaMap(scalaMap)\n\nval scalaSeq = Seq(\"hello\", \"world\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n### Building collections\n\nThe `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection:\n\n```scala\nimport scala.collection.mutable.Builder\nimport scala.collection.immutable.Vector\nimport sigmastate.kiama.util.Collections._\n\nval builder: Builder[String, Vector[String]] = newBuilder(Vector)\nbuilder += \"hello\"\nbuilder += \"world\"\n\nval scalaVector = builder.result()\n```\n\nIn summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object.", + "questions": "" + }, + { + "folderName": "scala-2.12", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders.\n\nThe first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections.\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nOverall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used:\n\n```\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```", + "questions": "1. What is the purpose of this file and what is the project it belongs to?\n- This file is part of the Kiama project.\n- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections.\n\n2. What types of collection conversions are supported by the utility functions in this file?\n- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file?\n- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way.\n\nThe `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections:\n\n1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`.\n2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`.\n3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`.\n\nHere's an example of how the `javaCollectionToVector` method could be used:\n\n```scala\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new java.util.ArrayList[Int]()\njavaList.add(1)\njavaList.add(2)\njavaList.add(3)\n\nval scalaVector = javaCollectionToVector(javaList)\n// scalaVector is now Vector(1, 2, 3)\n```\n\nThe second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection.\n\nIn summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations.", + "questions": "" + }, + { + "folderName": "scala-2.13", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate", + "files": [], + "folders": [ + { + "folderName": "kiama", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama", + "files": [], + "folders": [ + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util", + "files": [ + { + "fileName": "Collections.scala", + "filePath": "common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala", + "summary": "The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class.\n\nThe `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code.\n\nThe `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input.\n\nThe `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input.\n\nThe `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection.\n\nOverall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "1. What is the purpose of this file in the Kiama project?\n- This file contains utility functions for converting between Java and Scala collections, as well as building collections. \n\n2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions?\n- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List.\n\n3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases?\n- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method." + } + ], + "folders": [], + "summary": "The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type.\n\nThe `Collections` object contains the following methods:\n\n1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\n2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\n3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\n4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type.", + "questions": "" + } + ], + "summary": "The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type.\n\nOne of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example:\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"Hello\")\njavaList.add(\"World\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nAnother useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example:\n\n```scala\nimport java.util.Map\nimport sigmastate.kiama.util.Collections._\n\nval scalaMap = Map(\"one\" -> 1, \"two\" -> 2)\nval javaMap: Map[String, Integer] = mapToJavaMap(scalaMap)\n```\n\nThe `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example:\n\n```scala\nimport java.util.List\nimport sigmastate.kiama.util.Collections._\n\nval scalaSeq = Seq(\"one\", \"two\", \"three\")\nval javaList: List[String] = seqToJavaList(scalaSeq)\n```\n\nLastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method:\n\n- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example:\n\n ```scala\n import scala.collection.mutable.ArrayBuffer\n import sigmastate.kiama.util.Collections._\n\n val factory = ArrayBuffer\n val builder = newBuilder(factory)\n ```\n\n- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example:\n\n ```scala\n import scala.collection.immutable.Vector\n import sigmastate.kiama.util.Collections._\n\n val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]]\n val builder = newBuilder(canBuildFrom)\n ```\n\nIn conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared/src` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `main` subfolder.\n\nThe `main` subfolder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common/shared` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `src` subfolder.\n\nThe `src` subfolder contains a `main` subfolder, which in turn contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`.\n\nThe `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/common` folder and its subfolders plays a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The `shared` folder contains a `src` subfolder, which is further divided into a `main` subfolder and several version-specific subfolders for Scala.\n\nThe `main` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values:\n\n```scala\nval nullableValue = new Nullable(42)\nval result = nullableValue.getOrElse(0) // 42\n```\n\nThe version-specific subfolders (`scala-2.11`, `scala-2.12`, and `scala-2.13`) contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections.\n\n```scala\nimport java.util.ArrayList\nimport sigmastate.kiama.util.Collections._\n\nval javaList = new ArrayList[String]()\njavaList.add(\"hello\")\njavaList.add(\"world\")\n\nval scalaVector = javaCollectionToVector(javaList)\n```\n\nIn summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/compare.json b/.autodoc/docs/json/compare.json new file mode 100644 index 0000000000..80328155d6 --- /dev/null +++ b/.autodoc/docs/json/compare.json @@ -0,0 +1,7 @@ +{ + "fileName": "compare.txt", + "filePath": "compare.txt", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare.txt", + "summary": "The code provided is a constructor for a class called ErgoLikeTransactionTemplate. This class is likely used in a larger project to create and manage transactions on the Ergo blockchain. \n\nThe constructor takes in several parameters, including dataInputs, inputs, outputCandidates, and tokens. These parameters are used to define the inputs and outputs of the transaction, as well as any additional data that needs to be included. \n\nThe outputCandidates parameter is a Vector of ErgoBoxCandidate objects, which represent the outputs of the transaction. Each ErgoBoxCandidate contains information about the value and script of the output box. The script is defined using the ErgoTree class, which represents a script in the ErgoScript language. \n\nThe inputs parameter is also a Vector, but it contains UnsignedInput objects that represent the inputs to the transaction. These inputs are used to reference existing boxes on the blockchain that will be spent in the transaction. \n\nThe tokens parameter is a Map that defines any tokens that will be included in the transaction. Tokens are a feature of the Ergo blockchain that allow for the creation and management of custom assets. \n\nOverall, this constructor is a key component in creating and managing transactions on the Ergo blockchain. It allows developers to define the inputs and outputs of a transaction, as well as any additional data or tokens that need to be included. \n\nExample usage:\n\n```\nval input = UnsignedInput(boxId = \"abc123\", extension = None)\nval output = ErgoBoxCandidate(value = 1000000, script = ErgoTree.fromSigmaBoolean(SigmaProp.TrueProp), creationHeight = 1000000)\nval txTemplate = ErgoLikeTransactionTemplate(dataInputs = Vector(), inputs = Vector(input), outputCandidates = Vector(output), tokens = Map())\n```", + "questions": "1. What is the purpose of the ErgoLikeTransactionTemplate class?\n- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain.\n\n2. What are the inputs and outputs of this transaction?\n- The inputs of this transaction are stored in the `inputs` variable, while the output candidates are stored in the `outputCandidates` variable.\n\n3. What is the significance of the values stored in the `tokens` and `creationHeight` variables?\n- The `tokens` variable stores information about the tokens being transferred in the transaction, while the `creationHeight` variable indicates the height at which the transaction was created on the blockchain." +} \ No newline at end of file diff --git a/.autodoc/docs/json/compare2.json b/.autodoc/docs/json/compare2.json new file mode 100644 index 0000000000..a7638bd105 --- /dev/null +++ b/.autodoc/docs/json/compare2.json @@ -0,0 +1,7 @@ +{ + "fileName": "compare2.txt", + "filePath": "compare2.txt", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare2.txt", + "summary": "The code provided is a transaction template for the Ergo blockchain platform. The purpose of this code is to create a new transaction on the Ergo blockchain. The transaction includes inputs, output candidates, and data inputs. \n\nThe inputs are represented as an array of UnsignedInput objects. These inputs are used to reference the boxes that are being spent in the transaction. The output candidates are represented as an array of ErgoBoxCandidate objects. These output candidates represent the new boxes that will be created as a result of the transaction. The data inputs are represented as an array of Vector objects. These data inputs are used to provide additional data to the transaction.\n\nThe ErgoLikeTransactionTemplate class takes these inputs and creates a new transaction on the Ergo blockchain. The transaction includes the inputs, output candidates, and data inputs provided in the constructor. The transaction is then signed and broadcasted to the network.\n\nHere is an example of how this code can be used in a larger project:\n\n```python\nfrom ergo_wallet import ErgoWallet\n\n# create a new wallet\nwallet = ErgoWallet()\n\n# get unspent boxes from the wallet\nunspent_boxes = wallet.get_unspent_boxes()\n\n# create a new transaction template\ntx_template = ErgoLikeTransactionTemplate(dataInputs=[], inputs=unspent_boxes, outputCandidates=[ErgoBoxCandidate(value=100000000, ergoTree=ergo_tree, creationHeight=1000000)], tokens={})\n\n# sign the transaction with the wallet's private key\nsigned_tx = wallet.sign_transaction(tx_template)\n\n# broadcast the signed transaction to the network\nwallet.broadcast_transaction(signed_tx)\n```\n\nIn this example, the ErgoWallet class is used to manage the user's Ergo assets. The `get_unspent_boxes()` method is used to retrieve the user's unspent boxes. These boxes are then used as inputs for the transaction template. The `ErgoBoxCandidate` object is used to represent the new box that will be created as a result of the transaction. The `sign_transaction()` method is used to sign the transaction with the user's private key. Finally, the `broadcast_transaction()` method is used to broadcast the signed transaction to the network.", + "questions": "1. What is the purpose of the ErgoLikeTransactionTemplate class?\n- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain.\n\n2. What are the inputs and outputs of this transaction?\n- The inputs of this transaction are stored in the \"inputs\" variable, while the output candidates are stored in the \"outputCandidates\" variable.\n\n3. What is the significance of the dataInputs and tokens variables?\n- The dataInputs variable stores any additional data that needs to be included in the transaction, while the tokens variable stores any tokens that are being transferred as part of the transaction." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/CoreLibReflection.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/CoreLibReflection.json new file mode 100644 index 0000000000..2cc056eb56 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/CoreLibReflection.json @@ -0,0 +1,7 @@ +{ + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/SpecialPredef.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/SpecialPredef.json new file mode 100644 index 0000000000..24665f44b5 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/SpecialPredef.json @@ -0,0 +1,7 @@ +{ + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/Types.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/Types.json new file mode 100644 index 0000000000..141747179f --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/Types.json @@ -0,0 +1,7 @@ +{ + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Colls.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Colls.json new file mode 100644 index 0000000000..dc769a559b --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Colls.json @@ -0,0 +1,7 @@ +{ + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.json new file mode 100644 index 0000000000..3d404e5302 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.json @@ -0,0 +1,7 @@ +{ + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Extensions.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Extensions.json new file mode 100644 index 0000000000..a49a9212f1 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Extensions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Helpers.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Helpers.json new file mode 100644 index 0000000000..1f73651786 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/Helpers.json @@ -0,0 +1,7 @@ +{ + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/package.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/package.json new file mode 100644 index 0000000000..ce5c941a03 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/package.scala", + "summary": "This code defines a package called \"special\" and two packages within it called \"collection\" and \"collection object\". The purpose of this code is to provide a type hierarchy for collections in the larger project. It defines a case class called \"CollType\" which extends the \"RType\" trait. The \"CollType\" case class takes a type parameter \"A\" and has a single field \"tItem\" of type \"RType[A]\". It also has a \"ClassTag\" field of type \"ClassTag[Coll[A]]\" which is used for runtime type checking. The \"name\" method is overridden to return a string representation of the collection type.\n\nThe \"implicit def collRType[A]\" method defines an implicit conversion from \"RType[A]\" to \"RType[Coll[A]]\". This allows for the creation of a \"CollType\" instance from an \"RType\" instance. The \"implicit def extendCollType[A]\" method extends the \"CollType\" class to allow for the retrieval of the \"tItem\" field. The \"implicit val collBuilderRType\" method defines an implicit conversion from \"CollBuilder\" to \"RType[CollBuilder]\".\n\nThe \"reflection\" value is defined to force reflection data initialization. This is necessary for the proper functioning of the \"RType\" trait.\n\nOverall, this code provides a type hierarchy for collections in the larger project. It allows for the creation of \"CollType\" instances from \"RType\" instances and provides implicit conversions for \"CollBuilder\" and \"CollType\". This code can be used to define and manipulate collections in the larger project. For example, it can be used to create a collection of integers as follows:\n\n```\nimport special.collection._\nimport scalan.RType\n\nval intCollType: RType[Coll[Int]] = collRType[Int]\n```", + "questions": "1. What is the purpose of the `special` package and why is it being imported?\n - The purpose of the `special` package is not clear from this code snippet alone. It is being imported to make its contents available in this file.\n\n2. What is the `CollType` case class and how is it used?\n - `CollType` is a case class that extends `RType[Coll[A]]` and takes a type parameter `A`. It is used to define the type of a collection where the type of its elements is `A`.\n\n3. What is the purpose of the `implicit` conversions defined in the `collection` package object?\n - The `implicit` conversions defined in the `collection` package object are used to provide implicit conversions between different types, such as `RType[Coll[A]]` and `CollType[A]`. They are used to make the code more concise and easier to read." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/summary.json new file mode 100644 index 0000000000..ed3e05441f --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection/summary.json @@ -0,0 +1,38 @@ +{ + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/package.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/package.json new file mode 100644 index 0000000000..bd35ebbd22 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "core-lib/shared/src/main/scala/special/sigma/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/sigma/package.scala", + "summary": "The code defines a package object called \"sigma\" that contains implicit values used as type descriptors for predefined Sigma types. These types are used in the larger project to represent various data structures and objects. The RType class is used to define these types and provide reflection data initialization.\n\nThe code defines implicit values for several types, including BigInt, GroupElement, SigmaProp, AvlTree, Box, Context, Header, PreHeader, AnyValue, SigmaContract, SigmaDslBuilder, and BigInteger. These types are defined using the GeneralType and fromClassTag methods of the RType class, which take a classTag as an argument. The classTag is used to provide type information at runtime, allowing for reflection and type checking.\n\nFor example, the following code snippet shows how the BigIntRType implicit value can be used to define a variable of type RType[BigInt]:\n\n```\nimport special.sigma._\n\nval bigIntType: RType[BigInt] = BigIntRType\n```\n\nOverall, this code provides a convenient way to define and use predefined Sigma types in the larger project. By defining these types as implicit values, they can be easily accessed and used throughout the codebase without the need for explicit type annotations.", + "questions": "1. What is the purpose of the `RType` class and how is it used in this code?\n- The `RType` class is used as a type descriptor for all the predefined Sigma types. It is used to define implicit values for various types, such as `BigInt`, `GroupElement`, and `SigmaProp`.\n\n2. What is the significance of the `reflection` value in this code?\n- The `reflection` value is used to force reflection data initialization. It is necessary for the `RType` class to work properly.\n\n3. What is the `SigmaContract` class and how is it used in this code?\n- The `SigmaContract` class is a predefined Sigma type and is used as a type descriptor in the `SigmaContractRType` implicit value. This allows the `RType` class to recognize and work with `SigmaContract` objects." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/summary.json new file mode 100644 index 0000000000..6d7460f19e --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma/summary.json @@ -0,0 +1,9 @@ +{ + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/summary.json new file mode 100644 index 0000000000..a53bb0ee39 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/summary.json @@ -0,0 +1,96 @@ +{ + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.json new file mode 100644 index 0000000000..ea277de4b8 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.json @@ -0,0 +1,7 @@ +{ + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/summary.json new file mode 100644 index 0000000000..09c5a8c770 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/scala/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/scala/summary.json new file mode 100644 index 0000000000..0f70f6689f --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/scala/summary.json @@ -0,0 +1,106 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/main/summary.json b/.autodoc/docs/json/core-lib/shared/src/main/summary.json new file mode 100644 index 0000000000..1e05ab1817 --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/main/summary.json @@ -0,0 +1,116 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/src/summary.json b/.autodoc/docs/json/core-lib/shared/src/summary.json new file mode 100644 index 0000000000..bbe5c4aebe --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/src/summary.json @@ -0,0 +1,126 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/core-lib/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib/shared/src` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/shared/summary.json b/.autodoc/docs/json/core-lib/shared/summary.json new file mode 100644 index 0000000000..131c83975f --- /dev/null +++ b/.autodoc/docs/json/core-lib/shared/summary.json @@ -0,0 +1,136 @@ +{ + "folderName": "shared", + "folderPath": ".autodoc/docs/json/core-lib/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/core-lib/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib/shared/src` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib/shared` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/core-lib/summary.json b/.autodoc/docs/json/core-lib/summary.json new file mode 100644 index 0000000000..e8f06cb78f --- /dev/null +++ b/.autodoc/docs/json/core-lib/summary.json @@ -0,0 +1,146 @@ +{ + "folderName": "core-lib", + "folderPath": ".autodoc/docs/json/core-lib", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib", + "files": [], + "folders": [ + { + "folderName": "shared", + "folderPath": ".autodoc/docs/json/core-lib/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/core-lib/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special", + "files": [ + { + "fileName": "CoreLibReflection.scala", + "filePath": "core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala", + "summary": "The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time.\n\nThe code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object.\n\nFor example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods.\n\nHere's an example of how a method is registered for the `SigmaProp` class:\n\n```scala\nval clazz = classOf[SigmaProp]\nregisterClassEntry(clazz,\n methods = Map(\n mkMethod(clazz, \"$bar$bar\", Array[Class[_]](classOf[SigmaProp])) { (obj, args) =>\n obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp])\n },\n // ... other methods ...\n )\n)\n```\n\nIn the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time.", + "questions": "1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project?\n **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection.\n\n2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve?\n **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods.\n\n3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code?\n **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection." + }, + { + "fileName": "SpecialPredef.scala", + "filePath": "core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala", + "summary": "The code provided is a Scala file named \"SpecialPredef\" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. \n\nThe first function in the file is \"loopUntil\", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs.\n\nThe second function in the file is \"cast\", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails.\n\nThe third function in the file is \"some\", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value.\n\nThe fourth function in the file is \"none\", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type.\n\nThe fifth function in the file is \"optionGetOrElse\", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty.\n\nThe last object in the file is \"rewritableMethod\", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. \n\nOverall, the \"SpecialPredef\" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options.", + "questions": "1. What is the purpose of the `SpecialPredef` object?\n- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping.\n\n2. What is the `loopUntil` function used for?\n- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value.\n\n3. What is the purpose of the `rewritableMethod` function?\n- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error." + }, + { + "fileName": "Types.scala", + "filePath": "core-lib/shared/src/main/scala/special/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala", + "summary": "The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner.\n\nThe Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple.\n\nThe TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects.\n\nOverall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0) // create a tuple of Int, String, and Double\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple\nval tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly\nassert(rt == tt) // check that the two types are equal\n```", + "questions": "1. What is the purpose of the `special` package and what other packages does it depend on?\n - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages.\n\n2. What is the `TupleType` case class and what does it do?\n - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array.\n\n3. What is the purpose of the `tupleRType` method and how is it used?\n - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization." + } + ], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection", + "files": [ + { + "fileName": "Colls.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Colls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala", + "summary": "The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`.\n\nThe `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`.\n\nThe `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`.\n\nHere are some examples of how these classes and methods can be used in a larger project:\n\n1. Create a collection of integers and find the length:\n\n ```scala\n val coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\n val length = coll.length // 5\n ```\n\n2. Filter a collection based on a predicate:\n\n ```scala\n val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n ```\n\n3. Map a collection to a new collection with a function applied to each element:\n\n ```scala\n val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25)\n ```\n\n4. Zip two collections together:\n\n ```scala\n val collA = CollBuilder.fromItems(1, 2, 3)\n val collB = CollBuilder.fromItems(\"a\", \"b\", \"c\")\n val zipped = collA.zip(collB) // Coll((1, \"a\"), (2, \"b\"), (3, \"c\"))\n ```\n\nThese classes and methods provide a flexible and efficient way to work with collections in a Scala project.", + "questions": "1. **Question:** What is the purpose of the `Coll` class and its methods?\n **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others.\n\n2. **Question:** How does the `PairColl` class relate to the `Coll` class?\n **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`.\n\n3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code?\n **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`." + }, + { + "fileName": "CollsOverArrays.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala", + "summary": "The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types.\n\nThe `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections.\n\nThe `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations.\n\nThese specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths.\n\nFor example, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nTo zip two collections and perform an XOR operation:\n\n```scala\nval coll1 = builder.fromItems(1, 2, 3)\nval coll2 = builder.fromItems(4, 5, 6)\nval xorResult = builder.xor(coll1, coll2)\n```", + "questions": "1. **Question**: What is the purpose of the `CollOverArray` class and how does it work?\n **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n2. **Question**: How does the `PairOfCols` class work and what is its purpose?\n **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed.\n\n3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work?\n **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet." + }, + { + "fileName": "Extensions.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala", + "summary": "The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B.\n\nThe first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance.\n\nThe second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections.\n\nThese implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nThis will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows:\n\n```\nimport special.collection.Extensions._\n\nval coll = Coll((1, 2), (3, 4), (5, 6))\nvar sum = 0\ncoll.foreach((a, b) => sum += a + b)\nprintln(sum) // prints 21\n```\n\nThis will compute the sum of each pair and store the result in the variable sum, which is then printed to the console.", + "questions": "1. What is the purpose of the `special.collection` package?\n- The `special.collection` package contains code for extensions to collections.\n\n2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes?\n- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element.\n\n3. What is the purpose of the `cfor` method?\n- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection." + }, + { + "fileName": "Helpers.scala", + "filePath": "core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala", + "summary": "The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations.\n\nThe `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length.\n\nThe `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception.\n\nThis code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. \n\nHere is an example of how this code can be used:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method.", + "questions": "1. What is the purpose of the `Helpers` object?\n - The `Helpers` object contains a method for checking if two collections have the same length.\n\n2. What type of collections are expected as input to the `requireSameLength` method?\n - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`.\n\n3. What happens if the collections passed to `requireSameLength` have different lengths?\n - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections." + } + ], + "folders": [], + "summary": "The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively.\n\nFor example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nOr filter a collection based on a predicate:\n\n```scala\nval evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4)\n```\n\nThe folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths.\n\nFor instance, to create a collection of integers and apply a function to each element:\n\n```scala\nval builder = new CollOverArrayBuilder\nval coll = builder.fromItems(1, 2, 3, 4, 5)\nval squared = coll.map(x => x * x)\n```\n\nAdditionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console:\n\n```scala\nimport special.collection.Extensions._\n\nval coll = Coll(1, 2, 3, 4, 5)\ncoll.foreach(println)\n```\n\nLastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them:\n\n```scala\nimport special.collection.Helpers._\n\nval arr1 = Array(1, 2, 3)\nval arr2 = Array(\"a\", \"b\", \"c\")\n\nrequireSameLength(arr1, arr2) // throws an exception with an error message\n```\n\nIn summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma", + "files": [], + "folders": [], + "summary": "The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions.\n\nHere is a brief overview of the main files in this folder:\n\n1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDsl\n\n val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n ```\n\n2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslBuilder\n\n class MySigmaDslBuilder extends SigmaDslBuilder {\n // Implement the required methods here\n }\n\n val myBuilder = new MySigmaDslBuilder()\n val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000)))\n ```\n\n3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslTypes._\n\n val box: Box = ...\n val value: Long = box.value\n val scriptBytes: Coll[Byte] = box.propositionBytes\n ```\n\n4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`.\n\n Example usage:\n ```scala\n import special.sigma.SigmaDslFuncs._\n\n val sigmaProps: Seq[SigmaProp] = ...\n val combinedSigmaProp = anyOf(sigmaProps)\n ```\n\nIn summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersSpec.scala", + "filePath": "core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala", + "summary": "The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. \n\nThe `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. \n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. \n\nThese wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. \n\nExample usage of `OptionWrapSpec`:\n\n```\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nExample usage of `RTypeWrapSpec`:\n\n```\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```", + "questions": "1. What is the purpose of the `WrapSpecBase` trait?\n- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from.\n\n2. What does the `OptionWrapSpec` class do?\n- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`.\n\n3. What is the `RTypeWrapSpec` class used for?\n- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type." + } + ], + "folders": [], + "summary": "The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable.\n\nThe `OptionWrapSpec` class offers several methods for handling `Option` objects:\n\n- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`.\n- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument.\n- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result.\n- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object.\n- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false.\n\nExample usage of `OptionWrapSpec`:\n\n```scala\nval opt: Option[Int] = Some(5)\nval default: Int = 0\n\nval value: Int = OptionWrapSpec.get(opt) // returns 5\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5\nval doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10)\nval filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None\nval isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true\n```\n\nThe `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly.\n\nExample usage of `RTypeWrapSpec`:\n\n```scala\nimport scalan.RType\n\nval rType: RType[Int] = RType[Int]\nval typeName: String = RTypeWrapSpec.name(rType) // returns \"Int\"\n```\n\nThese wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field.", + "questions": "" + } + ], + "summary": "The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions.\n\nIn the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib/shared/src` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib/shared` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/core-lib` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability.\n\nThe `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`.\n\nThe `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met:\n\n```scala\nval result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10\n```\n\nThe `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`:\n\n```scala\nimport special.Types._\n\nval t = Coll(1, \"two\", 3.0)\nval rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType))\n```\n\nThe `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length:\n\n```scala\nval coll = CollBuilder.fromItems(1, 2, 3, 4, 5)\nval length = coll.length // 5\n```\n\nThe `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression:\n\n```scala\nimport special.sigma.SigmaDsl\n\nval sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000)))\n```\n\nThe `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods:\n\n```scala\nval opt: Option[Int] = Some(5)\nval valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5\n```\n\nOverall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/posters/poster.json b/.autodoc/docs/json/docs/posters/poster.json new file mode 100644 index 0000000000..6ca5b35ec7 --- /dev/null +++ b/.autodoc/docs/json/docs/posters/poster.json @@ -0,0 +1,7 @@ +{ + "fileName": "poster.tex", + "filePath": "docs/posters/poster.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/poster.tex", + "summary": "This code is a LaTeX document that describes a new scripting language called ErgoScript, which is designed to be a more expressive alternative to Bitcoin Script. Bitcoin Script is a stack-based language that is used to protect every coin in the Bitcoin network. However, its abilities are limited due to security issues, and it requires a hard-fork to add new cryptographic primitives to the language.\n\nErgoScript is designed as a call-by-value, higher-order functional language without recursion, with concise Scala/Kotlin syntax. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects, and all values are immutable. ErgoScript is not Turing-complete, but it is expressive enough to make the whole transactional model of Ergo Turing complete.\n\nErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover turns the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. Language expressiveness is defined by a set of predicates over context and a set of $\\Sigma$-protocol statements.\n\nThe document provides several examples of how ErgoScript can be used, including zero-knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. The document also discusses how the language can be extended with a soft-fork using versioning conventions.\n\nOverall, this code is an important part of the larger project of developing a more expressive scripting language for cryptocurrencies. It provides a detailed technical explanation of ErgoScript and its capabilities, as well as examples of how it can be used in practice.", + "questions": "1. What is the purpose of ErgoScript and how does it differ from Bitcoin Script?\n \n ErgoScript is a more expressive alternative to Bitcoin Script, designed as a call-by-value, higher-order functional language without recursion. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects and all values are immutable. ErgoScript is not turing-complete, however it is expressive enough to make the whole transactional model of Ergo turing complete.\n\n2. How does ErgoScript define a guarding proposition for a coin and how is it evaluated?\n \n ErgoScript defines a guarding proposition for a coin as a logic formula which combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover is turning the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature.\n\n3. What are some examples of use cases for ErgoScript?\n \n ErgoScript can be used for zero knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/posters/sources.json b/.autodoc/docs/json/docs/posters/sources.json new file mode 100644 index 0000000000..b001eb498a --- /dev/null +++ b/.autodoc/docs/json/docs/posters/sources.json @@ -0,0 +1,7 @@ +{ + "fileName": "sources.bib", + "filePath": "docs/posters/sources.bib", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/sources.bib", + "summary": "This code is a collection of bibliographic references for a project related to blockchain technology, specifically focusing on the Bitcoin protocol and its various aspects such as security, consensus mechanisms, and cryptographic techniques. The references include research papers, conference proceedings, and online resources that discuss various topics related to the project.\n\nSome of the key topics covered in these references include:\n\n1. The Bitcoin Backbone Protocol: This protocol forms the foundation of the Bitcoin network and is responsible for maintaining the blockchain, a public ledger of all transactions. The reference by Garay et al. provides an analysis and applications of this protocol.\n\n2. Zero-Knowledge Proofs: These are cryptographic techniques that allow one party to prove to another that they know a specific piece of information without revealing the information itself. The references by Meiklejohn et al., Groth et al., and Ben-Sasson et al. discuss different aspects of zero-knowledge proofs and their applications in cryptocurrencies.\n\n3. Proof-of-Work and Proof-of-Stake: These are consensus mechanisms used in blockchain networks to validate transactions and maintain the integrity of the blockchain. The references by King et al., Kiayias et al., and Bentov et al. discuss various aspects of these mechanisms and their implications for the security and scalability of blockchain networks.\n\n4. Anonymity and Privacy: One of the key features of cryptocurrencies like Bitcoin is the ability to conduct transactions anonymously. The references by Saxena et al., Miers et al., and Sasson et al. discuss various techniques for enhancing anonymity and privacy in blockchain networks.\n\n5. Scalability and Performance: As the number of users and transactions in a blockchain network grows, it becomes increasingly important to ensure that the network can scale and maintain its performance. The references by Eyal et al., Sompolinsky et al., and Croman et al. discuss various approaches to improving the scalability and performance of blockchain networks.\n\nThese references provide a comprehensive overview of the various aspects of blockchain technology and can be used as a starting point for further research and development in this area.", + "questions": "1. **What is the purpose of this code?**\n\n This code is not a functional code, but rather a collection of bibliography entries in BibTeX format. These entries are related to various research papers and articles on topics such as Bitcoin, blockchain, cryptographic techniques, and zero-knowledge proofs.\n\n2. **How can I use this code in my project?**\n\n You can use this code as a reference list for your project if you are working on a topic related to cryptocurrencies, blockchain, or cryptography. You can import this BibTeX file into your reference management software (e.g., Zotero, Mendeley, or EndNote) and use it to cite the relevant papers in your project documentation or research paper.\n\n3. **Are there any dependencies or requirements to use this code?**\n\n There are no dependencies or requirements to use this code directly. However, to effectively use the bibliography entries in your project, you will need a reference management software that supports BibTeX format, as well as a document preparation system like LaTeX that can process the citations and generate a bibliography." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/posters/summary.json b/.autodoc/docs/json/docs/posters/summary.json new file mode 100644 index 0000000000..492992843d --- /dev/null +++ b/.autodoc/docs/json/docs/posters/summary.json @@ -0,0 +1,24 @@ +{ + "folderName": "posters", + "folderPath": ".autodoc/docs/json/docs/posters", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/posters", + "files": [ + { + "fileName": "poster.tex", + "filePath": "docs/posters/poster.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/poster.tex", + "summary": "This code is a LaTeX document that describes a new scripting language called ErgoScript, which is designed to be a more expressive alternative to Bitcoin Script. Bitcoin Script is a stack-based language that is used to protect every coin in the Bitcoin network. However, its abilities are limited due to security issues, and it requires a hard-fork to add new cryptographic primitives to the language.\n\nErgoScript is designed as a call-by-value, higher-order functional language without recursion, with concise Scala/Kotlin syntax. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects, and all values are immutable. ErgoScript is not Turing-complete, but it is expressive enough to make the whole transactional model of Ergo Turing complete.\n\nErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover turns the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. Language expressiveness is defined by a set of predicates over context and a set of $\\Sigma$-protocol statements.\n\nThe document provides several examples of how ErgoScript can be used, including zero-knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. The document also discusses how the language can be extended with a soft-fork using versioning conventions.\n\nOverall, this code is an important part of the larger project of developing a more expressive scripting language for cryptocurrencies. It provides a detailed technical explanation of ErgoScript and its capabilities, as well as examples of how it can be used in practice.", + "questions": "1. What is the purpose of ErgoScript and how does it differ from Bitcoin Script?\n \n ErgoScript is a more expressive alternative to Bitcoin Script, designed as a call-by-value, higher-order functional language without recursion. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects and all values are immutable. ErgoScript is not turing-complete, however it is expressive enough to make the whole transactional model of Ergo turing complete.\n\n2. How does ErgoScript define a guarding proposition for a coin and how is it evaluated?\n \n ErgoScript defines a guarding proposition for a coin as a logic formula which combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover is turning the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature.\n\n3. What are some examples of use cases for ErgoScript?\n \n ErgoScript can be used for zero knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc." + }, + { + "fileName": "sources.bib", + "filePath": "docs/posters/sources.bib", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/sources.bib", + "summary": "This code is a collection of bibliographic references for a project related to blockchain technology, specifically focusing on the Bitcoin protocol and its various aspects such as security, consensus mechanisms, and cryptographic techniques. The references include research papers, conference proceedings, and online resources that discuss various topics related to the project.\n\nSome of the key topics covered in these references include:\n\n1. The Bitcoin Backbone Protocol: This protocol forms the foundation of the Bitcoin network and is responsible for maintaining the blockchain, a public ledger of all transactions. The reference by Garay et al. provides an analysis and applications of this protocol.\n\n2. Zero-Knowledge Proofs: These are cryptographic techniques that allow one party to prove to another that they know a specific piece of information without revealing the information itself. The references by Meiklejohn et al., Groth et al., and Ben-Sasson et al. discuss different aspects of zero-knowledge proofs and their applications in cryptocurrencies.\n\n3. Proof-of-Work and Proof-of-Stake: These are consensus mechanisms used in blockchain networks to validate transactions and maintain the integrity of the blockchain. The references by King et al., Kiayias et al., and Bentov et al. discuss various aspects of these mechanisms and their implications for the security and scalability of blockchain networks.\n\n4. Anonymity and Privacy: One of the key features of cryptocurrencies like Bitcoin is the ability to conduct transactions anonymously. The references by Saxena et al., Miers et al., and Sasson et al. discuss various techniques for enhancing anonymity and privacy in blockchain networks.\n\n5. Scalability and Performance: As the number of users and transactions in a blockchain network grows, it becomes increasingly important to ensure that the network can scale and maintain its performance. The references by Eyal et al., Sompolinsky et al., and Croman et al. discuss various approaches to improving the scalability and performance of blockchain networks.\n\nThese references provide a comprehensive overview of the various aspects of blockchain technology and can be used as a starting point for further research and development in this area.", + "questions": "1. **What is the purpose of this code?**\n\n This code is not a functional code, but rather a collection of bibliography entries in BibTeX format. These entries are related to various research papers and articles on topics such as Bitcoin, blockchain, cryptographic techniques, and zero-knowledge proofs.\n\n2. **How can I use this code in my project?**\n\n You can use this code as a reference list for your project if you are working on a topic related to cryptocurrencies, blockchain, or cryptography. You can import this BibTeX file into your reference management software (e.g., Zotero, Mendeley, or EndNote) and use it to cite the relevant papers in your project documentation or research paper.\n\n3. **Are there any dependencies or requirements to use this code?**\n\n There are no dependencies or requirements to use this code directly. However, to effectively use the bibliography entries in your project, you will need a reference management software that supports BibTeX format, as well as a document preparation system like LaTeX that can process the citations and generate a bibliography." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/docs/posters` folder contains two files related to the ErgoScript project, which aims to develop a more expressive scripting language for cryptocurrencies as an alternative to Bitcoin Script.\n\n### poster.tex\n\nThis LaTeX document provides a detailed technical explanation of ErgoScript, a call-by-value, higher-order functional language without recursion. ErgoScript is designed with concise Scala/Kotlin syntax and supports various features such as single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, and ternary 'if' with lazy branches.\n\nThe document explains how ErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. It also describes the process of spending a coin and verifying a transaction using ErgoScript.\n\nSeveral examples of ErgoScript applications are provided, including:\n\n- Zero-knowledge ring and threshold signatures\n- Pre-issued mining rewards\n- Crowd-funding\n- Demurrage currency\n- Decentralized exchange (DEX)\n- Local Exchange Trading System (LETS)\n- Initial Coin Offering (ICO)\n- Non-interactive CoinJoin\n\nThe document also discusses how ErgoScript can be extended with a soft-fork using versioning conventions.\n\n### sources.bib\n\nThis file contains a collection of bibliographic references related to blockchain technology, focusing on the Bitcoin protocol, security, consensus mechanisms, and cryptographic techniques. These references cover key topics such as the Bitcoin Backbone Protocol, zero-knowledge proofs, proof-of-work and proof-of-stake, anonymity and privacy, and scalability and performance.\n\nDevelopers working on the ErgoScript project can use these references as a starting point for further research and development in the field of blockchain technology and cryptocurrencies.\n\nIn summary, the `.autodoc/docs/json/docs/posters` folder contains essential documentation and references for the ErgoScript project. The `poster.tex` file provides a comprehensive technical explanation of ErgoScript and its capabilities, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/sigmastate_protocols/compile.json b/.autodoc/docs/json/docs/sigmastate_protocols/compile.json new file mode 100644 index 0000000000..989a62d38c --- /dev/null +++ b/.autodoc/docs/json/docs/sigmastate_protocols/compile.json @@ -0,0 +1,7 @@ +{ + "fileName": "compile.sh", + "filePath": "docs/sigmastate_protocols/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/sigmastate_protocols/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigmastate_protocols\" into a PDF file. The script first checks if the necessary commands \"pdflatex\" and \"bibtex\" are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. The \"pdflatex\" command is then run three more times to ensure that all references and cross-references are resolved correctly. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script is likely used as part of a larger project that involves creating and maintaining LaTeX documents. It could be included as part of a build process to automatically generate PDFs from LaTeX source files. For example, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. \n\nHere is an example of how this script could be used in a larger project:\n\n```\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.", + "questions": "1. What is the purpose of this script?\n This script compiles a LaTeX document called \"sigmastate_protocols\" using pdflatex and bibtex, and then removes some auxiliary files.\n\n2. What are the dependencies required to run this script?\n This script requires pdflatex and bibtex to be installed. Additional packages like fonts, etc. may also be needed.\n\n3. What is the expected output of running this script?\n The expected output is a compiled PDF document called \"sigmastate_protocols\". Any auxiliary files generated during the compilation process are removed at the end of the script." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/sigmastate_protocols/summary.json b/.autodoc/docs/json/docs/sigmastate_protocols/summary.json new file mode 100644 index 0000000000..51fada0f21 --- /dev/null +++ b/.autodoc/docs/json/docs/sigmastate_protocols/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "sigmastate_protocols", + "folderPath": ".autodoc/docs/json/docs/sigmastate_protocols", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/sigmastate_protocols", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/sigmastate_protocols/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/sigmastate_protocols/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigmastate_protocols\" into a PDF file. The script first checks if the necessary commands \"pdflatex\" and \"bibtex\" are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. The \"pdflatex\" command is then run three more times to ensure that all references and cross-references are resolved correctly. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script is likely used as part of a larger project that involves creating and maintaining LaTeX documents. It could be included as part of a build process to automatically generate PDFs from LaTeX source files. For example, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. \n\nHere is an example of how this script could be used in a larger project:\n\n```\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.", + "questions": "1. What is the purpose of this script?\n This script compiles a LaTeX document called \"sigmastate_protocols\" using pdflatex and bibtex, and then removes some auxiliary files.\n\n2. What are the dependencies required to run this script?\n This script requires pdflatex and bibtex to be installed. Additional packages like fonts, etc. may also be needed.\n\n3. What is the expected output of running this script?\n The expected output is a compiled PDF document called \"sigmastate_protocols\". Any auxiliary files generated during the compilation process are removed at the end of the script." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is responsible for compiling a LaTeX document named \"sigmastate_protocols\" into a PDF file. This script is essential for generating PDFs from LaTeX source files, which can be particularly useful for projects that include technical documentation written in LaTeX.\n\nThe script starts by checking if the required commands \"pdflatex\" and \"bibtex\" are installed on the system using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nIf both commands are found, the script proceeds to run \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. To ensure that all references and cross-references are resolved correctly, the \"pdflatex\" command is run three more times. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script can be integrated into a larger project as part of a build process to automatically generate PDFs from LaTeX source files. For instance, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users.\n\nHere's an example of how this script could be used in a larger project:\n\n```bash\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.\n\nIn summary, the `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is a useful tool for compiling LaTeX documents into PDF files. It can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/appendix_ergotree_serialization.json b/.autodoc/docs/json/docs/spec/appendix_ergotree_serialization.json new file mode 100644 index 0000000000..d7838ca5b3 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/appendix_ergotree_serialization.json @@ -0,0 +1,7 @@ +{ + "fileName": "appendix_ergotree_serialization.tex", + "filePath": "docs/spec/appendix_ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_ergotree_serialization.tex", + "summary": "This code is a part of a larger project and specifically deals with the serialization format of ErgoTree nodes. The purpose of this code is to provide a technical explanation of the serialization format of ErgoTree nodes. \n\nThe code consists of a section label and a reference label. The section label is used to identify the section of the code that deals with the serialization format of ErgoTree nodes. The reference label is used to reference the section of the code from other parts of the project.\n\nThe code also includes a generated subsection that provides more detailed information about the serialization format of ErgoTree nodes. This subsection is autogenerated from instrumented ValueSerializers. The purpose of this subsection is to provide a more detailed technical explanation of the serialization format of ErgoTree nodes.\n\nOverall, this code is an important part of the larger project as it provides a technical explanation of the serialization format of ErgoTree nodes. This information can be used by developers working on the project to ensure that the serialization format is implemented correctly and efficiently. \n\nExample usage of this code could include a developer referencing this section of the code to understand how to serialize ErgoTree nodes in their own code. They could also use the autogenerated subsection to gain a more detailed understanding of the serialization format.", + "questions": "1. What is the purpose of this code section?\n \n This code section describes the serialization format of ErgoTree nodes.\n\n2. What is the significance of the \"generated/ergotree_serialization1.tex\" file?\n\n The \"generated/ergotree_serialization1.tex\" file contains autogenerated subsections from instrumented ValueSerializers.\n\n3. Are there any other related files or sections that provide more information about ErgoTree serialization?\n\n It is unclear from this code section if there are any other related files or sections that provide more information about ErgoTree serialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/appendix_integer_encoding.json b/.autodoc/docs/json/docs/spec/appendix_integer_encoding.json new file mode 100644 index 0000000000..a578d88785 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/appendix_integer_encoding.json @@ -0,0 +1,7 @@ +{ + "fileName": "appendix_integer_encoding.tex", + "filePath": "docs/spec/appendix_integer_encoding.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_integer_encoding.tex", + "summary": "This file contains two methods for encoding integer values in a compressed format. The first method is called VLQ encoding, which stands for Variable Length Quantity encoding. This method takes a long integer value as input and encodes it into a sequence of bytes that can be efficiently stored in memory. The encoded value is stored in a byte buffer, which is a fixed-size array of bytes.\n\nThe encoding process works by breaking the input value into 7-bit chunks and storing each chunk in a separate byte. The most significant bit of each byte is set to 1 to indicate that there are more bytes to follow. The least significant byte has its most significant bit set to 0 to indicate that it is the last byte in the sequence. This ensures that the encoded value can be reconstructed correctly by reading the bytes in the correct order.\n\nThe second method is called ZigZag encoding, which is used to encode signed integers into values that can be efficiently encoded with VLQ encoding. This method takes a signed 64-bit integer as input and returns an unsigned 64-bit integer, stored in a signed int because Java has no explicit unsigned support.\n\nThe encoding process works by first left-shifting the input value by 1 bit and then performing a bitwise XOR operation with the right-shifted input value by 63 bits. This converts the signed integer into an unsigned integer that can be encoded using VLQ encoding.\n\nThese encoding methods are useful for compressing large integer values that need to be stored or transmitted efficiently. They can be used in a variety of applications, such as data compression, network protocols, and file formats. For example, they could be used to compress large datasets in a database or to encode metadata in a file format. Here is an example of how to use the VLQ encoding method:\n\n```\nbyte[] buffer = new byte[10];\nint position = 0;\nlong value = 1234567890L;\nputULong(value);\n```\n\nThis code creates a byte buffer of size 10 and initializes the position to 0. It then encodes the long integer value using the putULong method and stores the encoded bytes in the buffer. The encoded value can be retrieved by reading the bytes from the buffer in the correct order and decoding them using the reverse process.", + "questions": "1. What is the purpose of the \\texttt{putULong} method?\n \n The \\texttt{putULong} method is used for compressed encoding of integer values using variable-length quantity (VLQ) encoding.\n\n2. What is ZigZag encoding and why is it used?\n \n ZigZag encoding is a method of encoding signed integers into values that can be efficiently encoded with varint. It is used to avoid sign-extension of negative values to 64 bits, which would always take 10 bytes in the buffer.\n\n3. Why is the returned value of \\texttt{encodeZigZag64} stored in a signed int instead of an unsigned long?\n \n The returned value of \\texttt{encodeZigZag64} is stored in a signed int because Java has no explicit support for unsigned types." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/appendix_motivation.json b/.autodoc/docs/json/docs/spec/appendix_motivation.json new file mode 100644 index 0000000000..492ea942db --- /dev/null +++ b/.autodoc/docs/json/docs/spec/appendix_motivation.json @@ -0,0 +1,7 @@ +{ + "fileName": "appendix_motivation.tex", + "filePath": "docs/spec/appendix_motivation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_motivation.tex", + "summary": "This code is a technical explanation of the motivations and rationale behind the serialization format and constant segregation used in the Ergo blockchain's \\ASDag (Autonomous Script Dataflow Graph) language. The purpose of this code is to optimize the storage and processing of scripts in the blockchain, which is critical for efficient validation of transactions.\n\nThe first section explains the type serialization format used in \\ASDag. Since \\ASDag is a monomorphic IR, concrete types must be specified for some operations. When these operations are serialized, their types must also be serialized. To minimize the number of bytes required for type serialization, a special encoding schema is used. The most frequently used types, such as primitive types, collections of primitive types, and options of primitive types, are represented in an optimized way, preferably by a single byte. For other types, recursive descent down the type tree is used.\n\nThe second section explains the rationale behind constant segregation. In order to validate a transaction, the scripts protecting the input boxes must be executed in the context of the current transaction. This involves several steps, including deserialization of the script into ErgoTree, building cost and calc graphs, and evaluating the cost and data size limits. To optimize script evaluation, the compiled calcGraph can be cached in a map, using the script as a key. However, constants embedded in the script body can cause identical scripts to serialize to different byte arrays, making caching difficult. To solve this problem, constants are replaced with indexed placeholders, and the constants are extracted into a separate array. The serialized script contains the number of constants, the constants collection, and the script expression with placeholders. This allows the script expression part to be used as a key in the cache, and the placeholders can be bound with actual values from the constants collection before evaluation.\n\nOverall, this code demonstrates the importance of optimizing script storage and processing in the Ergo blockchain, and the clever techniques used to achieve this optimization.", + "questions": "1. What is the purpose of the Type Serialization format and how does it work?\n- The Type Serialization format is designed to minimize the number of bytes required to represent a type in the serialization format of \\ASDag. It uses a special encoding schema to save bytes for the types that are used more often, while other types are serialized using recursive descent down the type tree.\n\n2. Why is Constant Segregation important for massive script validation?\n- Constant Segregation is important for massive script validation because it allows for the caching of compiled calcGraphs, which can significantly improve script evaluation performance. However, constants embedded in contracts can cause issues with caching, which is why the solution is to replace each constant with an indexed placeholder.\n\n3. How does the Constant-less ErgoTree format work?\n- The Constant-less ErgoTree format replaces constants in the body of \\ASDag with indexed placeholders. The constants are extracted and serialized separately, while the script expression is serialized with placeholders. This allows for the use of script expression as a key in the cache, and the binding of placeholders with actual values taken from the constants collection before executing the script." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/appendix_predeftypes.json b/.autodoc/docs/json/docs/spec/appendix_predeftypes.json new file mode 100644 index 0000000000..ede6c3b7a2 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/appendix_predeftypes.json @@ -0,0 +1,7 @@ +{ + "fileName": "appendix_predeftypes.tex", + "filePath": "docs/spec/appendix_predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_predeftypes.tex", + "summary": "This code defines the predefined types used in the \\langname programming language. The table in the code lists the names, codes, and properties of each predefined type. The properties include whether the type is a constant size, whether it is a primitive type, whether it is an embedded type, whether it is a number, and the set of values it can hold. \n\nThe code then goes on to provide autogenerated subsections for each predefined type. Each subsection provides a description of the type and the methods that can be called on it. \n\nFor example, the Boolean type subsection describes the Boolean type and provides a list of methods that can be called on it, such as `and`, `or`, and `not`. Similarly, the SigmaProp type subsection describes the SigmaProp type, which holds sigma propositions that can be proved and verified using Sigma protocols. The subsection provides a list of methods that can be called on SigmaProp instances, such as `and`, `or`, and `threshold`. \n\nOverall, this code provides a comprehensive list of the predefined types used in the \\langname programming language and their associated methods. This information is useful for developers who are working with \\langname and need to understand the properties and capabilities of each type.", + "questions": "1. What is the purpose of this code file?\n \n This code file defines the predefined types of a programming language called \\langname and provides autogenerated subsections for each type descriptor.\n\n2. What are some examples of predefined types in \\langname?\n \n Some examples of predefined types in \\langname include Boolean, Byte, Short, Int, Long, BigInt, GroupElement, SigmaProp, Box, AvlTree, Header, PreHeader, Context, Global, Coll, and Option.\n\n3. What is the abstract syntax of sigma propositions in \\langname?\n \n The abstract syntax of sigma propositions in \\langname is defined as a well-formed tree of sigma propositions, where each node represents a sigma protocol primitive or connective, such as TrivialProp, ProveDLog, ProveDHTuple, THRESHOLD, OR, and AND." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/appendix_primops.json b/.autodoc/docs/json/docs/spec/appendix_primops.json new file mode 100644 index 0000000000..a22573df10 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/appendix_primops.json @@ -0,0 +1,7 @@ +{ + "fileName": "appendix_primops.tex", + "filePath": "docs/spec/appendix_primops.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_primops.tex", + "summary": "This code defines a table of predefined global functions, along with their mnemonics, signatures, and descriptions. The table is generated from sigma operation descriptors and includes functions such as SelectField, SomeValue, NoneValue, and Collection. \n\nThe purpose of this code is to provide a reference for developers working on the larger project to easily access and utilize these predefined functions. By including the signatures and descriptions, developers can quickly understand the inputs and outputs of each function and how they can be used in their code. \n\nFor example, a developer may need to extract a specific field from a tuple. They can use the SelectField function by passing in the tuple and the index of the desired field. The function will return the value of that field. \n\nOverall, this code serves as a helpful tool for developers to efficiently use the predefined global functions in their code.", + "questions": "1. What is the purpose of this code file?\n- This code file defines a table of predefined global functions for a programming language called \\langname.\n\n2. What is the format of the table in this code file?\n- The table is a longtable with four columns: Code, Mnemonic, Signature, and Description. The first three columns contain text, while the last column can contain a paragraph of text.\n\n3. Where does the data for the table come from?\n- The data for the table is autogenerated from sigma operation descriptors and is located in two separate files: \"predeffunc_rows.tex\" and \"predeffunc_sections.tex\"." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/cleanout.json b/.autodoc/docs/json/docs/spec/cleanout.json new file mode 100644 index 0000000000..2ab800f51f --- /dev/null +++ b/.autodoc/docs/json/docs/spec/cleanout.json @@ -0,0 +1,7 @@ +{ + "fileName": "cleanout.sh", + "filePath": "docs/spec/cleanout.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/cleanout.sh", + "summary": "This code is a shell script that removes various auxiliary files that are generated during the compilation of a LaTeX document. The purpose of this script is to clean up the project directory by removing unnecessary files that are generated during the compilation process.\n\nThe script uses the \"rm\" command to remove the following files: appendix_integer_encoding.aux, costing.aux, evaluation.aux, graph.aux, language.aux, serialization.aux, types.aux, spec.aux, spec.out, spec.toc, and spec.log. These files are all auxiliary files that are generated during the compilation of a LaTeX document.\n\nThe script can be used in the larger project as a part of the build process. After the LaTeX document is compiled, this script can be run to remove the auxiliary files that are no longer needed. This can help to keep the project directory clean and organized.\n\nHere is an example of how this script can be used in a larger project:\n\n```\n# Compile the LaTeX document\npdflatex my_document.tex\n\n# Remove the auxiliary files\n./cleanup.sh\n```\n\nOverall, this script serves a simple but important purpose in the larger project. By removing unnecessary files, it helps to keep the project directory clean and organized, which can make it easier to manage and maintain the project over time.", + "questions": "1. What is the purpose of this script?\n \n This script is used to remove several auxiliary files related to the project.\n\n2. What are the consequences of running this script?\n \n Running this script will delete the specified auxiliary files. If these files are needed for the project, their deletion could cause issues.\n\n3. Are there any dependencies or requirements for running this script?\n \n This script requires a Unix-like environment and the presence of the specified auxiliary files in the current directory." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/compile.json b/.autodoc/docs/json/docs/spec/compile.json new file mode 100644 index 0000000000..36fc1bdd0b --- /dev/null +++ b/.autodoc/docs/json/docs/spec/compile.json @@ -0,0 +1,7 @@ +{ + "fileName": "compile.sh", + "filePath": "docs/spec/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system. If they are not, it prints an error message and exits. If they are installed, it proceeds to compile the LaTeX document.\n\nThe script assumes that the LaTeX document is named \"spec.tex\" and is located in the same directory as the script. It creates a subdirectory called \"out\" and compiles the document into that directory using pdflatex. It then runs bibtex on the document to generate the bibliography, and runs pdflatex twice more to ensure that all references are properly resolved.\n\nFinally, the script runs a separate script called \"cleanout.sh\" which removes all files in the \"out\" directory except for the PDF output file.\n\nThis script can be used as part of a larger project that involves generating PDF documents from LaTeX source code. It can be called from a build system or integrated into a continuous integration pipeline to automatically generate PDFs whenever the source code is updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document \"spec.tex\" into a PDF and place it in the \"out\" directory. If any errors occur during compilation, they will be printed to the console.", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands `pdflatex` and `bibtex` are installed and then runs them to generate a PDF file from a LaTeX file called `spec.tex`. It also runs a cleanup script called `cleanout.sh`.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with Unix-based operating systems that use the `sh` shell, such as Linux and macOS.\n\n3. What additional packages might need to be installed for this script to work?\n \n This script mentions that additional packages like fonts may need to be installed. For Ubuntu, it suggests installing `texlive-fonts-recommended`, `latex-xcolor`, `texlive-latex-extra`, and `cm-super`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/costing.json b/.autodoc/docs/json/docs/spec/costing.json new file mode 100644 index 0000000000..b7b43f915d --- /dev/null +++ b/.autodoc/docs/json/docs/spec/costing.json @@ -0,0 +1,7 @@ +{ + "fileName": "costing.tex", + "filePath": "docs/spec/costing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/costing.tex", + "summary": "The code in this file is related to costing in a larger project. Specifically, it deals with the calculation and accumulation of costs associated with accessing entries in a CostTable. The file name is specified using a ScriptEnv object, and the file itself should be located in the test-out directory. \n\nThe code uses explicit nodes, such as CostOf(...), to represent access to CostTable entries. The actual cost is counted in nodes like OpCost, which take dependencies (represented by symbols like s1361 and s1360) into account before accumulating the cost of the entry (represented by s983). Each OpCost node is handled by the costAccumulator.add method, which takes into account both the cost of the node and the data environment. \n\nThe OpCost node is special and is interpreted in a specific way by the evaluate method in Evaluation. The code also includes an explanation for why it is necessary to include costedValue.id in the OpCost node. Without this, the same OpCost node would be emitted twice for different context variables, but only a single node would be added to the graph due to node unification. \n\nOverall, this code is an important part of the larger project's costing functionality. It allows for the accurate calculation and accumulation of costs associated with accessing entries in a CostTable, which is likely a critical component of the project's overall functionality.", + "questions": "1. What is the purpose of the \\lst{CostAccumulator} class mentioned in the code?\n- The \\lst{CostAccumulator} class is used to accumulate the actual cost represented by nodes like \\lst{s1340: Int = OpCost(2, List(s1361, s1360), s983)}.\n\n2. What is the significance of the symbols s1361, s1360 mentioned in the code?\n- The symbols s1361 and s1360 are dependencies that represent cost that should be accumulated before s983.\n\n3. Why is it necessary to add costedValue.id to the OpCost node?\n- Adding costedValue.id makes the OpCost nodes different and ensures that both are added to the graph, which is necessary in cases where two different context variables are used." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/evaluation.json b/.autodoc/docs/json/docs/spec/evaluation.json new file mode 100644 index 0000000000..0b054b6d6b --- /dev/null +++ b/.autodoc/docs/json/docs/spec/evaluation.json @@ -0,0 +1,7 @@ +{ + "fileName": "evaluation.tex", + "filePath": "docs/spec/evaluation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/evaluation.tex", + "summary": "The code is a specification of the evaluation semantics of a language called \\langname. The evaluation of \\langname is defined by translating it to another language called \\corelang, which is a subset of \\langname. The typing rules of \\corelang are a subset of the typing rules of \\langname. \n\nThe evaluation semantics of \\corelang is based on call-by-value (CBV) lambda calculus and is specified using denotational semantics. The denotational semantics is organized around the denotations of types, contexts, and terms. Each type in \\corelang denotes a set of values, and each context denotes a set of bindings for identifiers. A term in \\corelang denotes a function from the set of bindings to a value. \n\nThe code defines a set of CBV terms called values, which include variables, constructors, and lambda abstractions. All other CBV terms are called producers because they produce a value when evaluated. \n\nThe denotations of types and terms are given in Figure~\\ref{fig:denotations}. The denotations of types include \\lst{Boolean}, pre-defined types, product types, and function types. The denotations of terms include variables, constructors, tuples, function applications, and method invocations. \n\nOverall, this code provides a formal specification of the evaluation semantics of \\corelang, which is used to evaluate \\langname. This specification is important for ensuring that the language is well-defined and behaves as expected. It also provides a basis for implementing interpreters and compilers for the language.", + "questions": "1. What is the difference between the typing rules of \\langname and \\corelang?\n- The typing rules of \\corelang form a subset of the typing rules of \\langname, as \\corelang is a subset of \\langname.\n\n2. What is the principle behind the denotational semantics of \\corelang?\n- The principle behind the denotational semantics of \\corelang is that each type denotes a set whose elements are the denotations of values of that type.\n\n3. How are contexts and environments related in the denotational semantics of \\corelang?\n- A context is a finite sequence of identifiers with value types, while an environment is a list of bindings for identifiers that associates each identifier with a value of its corresponding type. The environment denotes an element of the set represented by the context." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/figures/fig_language.json b/.autodoc/docs/json/docs/spec/figures/fig_language.json new file mode 100644 index 0000000000..49fdc7ae19 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/figures/fig_language.json @@ -0,0 +1,7 @@ +{ + "fileName": "fig_language.tex", + "filePath": "docs/spec/figures/fig_language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex", + "summary": "The code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language.\n\nThe syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type \"collection of integers\" using the syntax \"\\lst{Coll}[Int]\".\n\nThe syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax \"\\TyLam{x_i}{T_i}{e}\", where \"x_i\" is a variable name, \"T_i\" is the type of the variable, and \"e\" is the body of the lambda expression.\n\nFinally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax \"\\MSig{m[\\text{Int},\\text{Int}]}{\\text{x : Int},\\text{y : Int}}{\\text{Boolean}}\".\n\nOverall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language.", + "questions": "1. What is the purpose of this code?\n \n This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures.\n\n2. What is the format of a lambda expression in this language?\n \n A lambda expression in this language is represented as $\\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression.\n\n3. Where can one find information about primitive operations in this language?\n \n Information about primitive operations in this language can be found in the Appendix~\\ref{sec:appendix:primops}." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/figures/fig_semantics.json b/.autodoc/docs/json/docs/spec/figures/fig_semantics.json new file mode 100644 index 0000000000..d8478ad681 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/figures/fig_semantics.json @@ -0,0 +1,7 @@ +{ + "fileName": "fig_semantics.tex", + "filePath": "docs/spec/figures/fig_semantics.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex", + "summary": "This code defines the reduction contexts and call-by-value evaluation relation for the \\langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\\Hole$ context represents a hole in the expression where another expression can be inserted. The $\\delta~\\Ov{v}~\\Ctx~\\Ov{e}$ context represents a primitive operation $\\delta$ applied to a list of values $\\Ov{v}$, followed by a context $\\Ctx$ and a list of expressions $\\Ov{e}$. The $\\Ctx~e$ context represents an expression $e$ in the context $\\Ctx$. Finally, the $(\\Lam{x}{e})\\Ctx$ context represents a lambda abstraction $\\Lam{x}{e}$ applied to the context $\\Ctx$.\n\nThe call-by-value evaluation relation specifies how expressions are evaluated in the \\langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values.\n\nThis code is an important part of the \\langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\\lst{let}~x=2~\\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$.", + "questions": "1. What is the purpose of the \\langname project?\n- Unfortunately, the code provided does not give any indication of the purpose of the \\langname project.\n\n2. What is the meaning of the symbols used in the reduction contexts and evaluation relation?\n- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\\Hole$ represents a hole, $\\delta$ represents a primitive operation, $\\Ov{v}$ represents a sequence of values, $\\Ctx$ represents a reduction context, $\\Ov{e}$ represents a sequence of expressions, $\\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions.\n\n3. What is the significance of the numbers in parentheses at the end of each evaluation relation?\n- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \\langname language." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/figures/fig_typing.json b/.autodoc/docs/json/docs/spec/figures/fig_typing.json new file mode 100644 index 0000000000..83e01c3a25 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/figures/fig_typing.json @@ -0,0 +1,7 @@ +{ + "fileName": "fig_typing.tex", + "filePath": "docs/spec/figures/fig_typing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex", + "summary": "The code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\nThe `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`.\n\nThe `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`.\n\nThe `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, \"hello\")` is a tuple of type `(Int, String)`.\n\nThe `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, \"hello\")` has type `Boolean`.\n\nThe `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nThe `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`.\n\nThe `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`.\n\nThe `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`.\n\nThese rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features.", + "questions": "1. What is the purpose of the code?\n \n The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\n2. What is the input and output of each typing rule?\n \n Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression.\n\n3. What programming language is this code for?\n \n The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/figures/summary.json b/.autodoc/docs/json/docs/spec/figures/summary.json new file mode 100644 index 0000000000..62265f3317 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/figures/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "figures", + "folderPath": ".autodoc/docs/json/docs/spec/figures", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/figures", + "files": [ + { + "fileName": "fig_language.tex", + "filePath": "docs/spec/figures/fig_language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex", + "summary": "The code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language.\n\nThe syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type \"collection of integers\" using the syntax \"\\lst{Coll}[Int]\".\n\nThe syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax \"\\TyLam{x_i}{T_i}{e}\", where \"x_i\" is a variable name, \"T_i\" is the type of the variable, and \"e\" is the body of the lambda expression.\n\nFinally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax \"\\MSig{m[\\text{Int},\\text{Int}]}{\\text{x : Int},\\text{y : Int}}{\\text{Boolean}}\".\n\nOverall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language.", + "questions": "1. What is the purpose of this code?\n \n This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures.\n\n2. What is the format of a lambda expression in this language?\n \n A lambda expression in this language is represented as $\\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression.\n\n3. Where can one find information about primitive operations in this language?\n \n Information about primitive operations in this language can be found in the Appendix~\\ref{sec:appendix:primops}." + }, + { + "fileName": "fig_semantics.tex", + "filePath": "docs/spec/figures/fig_semantics.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex", + "summary": "This code defines the reduction contexts and call-by-value evaluation relation for the \\langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\\Hole$ context represents a hole in the expression where another expression can be inserted. The $\\delta~\\Ov{v}~\\Ctx~\\Ov{e}$ context represents a primitive operation $\\delta$ applied to a list of values $\\Ov{v}$, followed by a context $\\Ctx$ and a list of expressions $\\Ov{e}$. The $\\Ctx~e$ context represents an expression $e$ in the context $\\Ctx$. Finally, the $(\\Lam{x}{e})\\Ctx$ context represents a lambda abstraction $\\Lam{x}{e}$ applied to the context $\\Ctx$.\n\nThe call-by-value evaluation relation specifies how expressions are evaluated in the \\langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values.\n\nThis code is an important part of the \\langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\\lst{let}~x=2~\\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$.", + "questions": "1. What is the purpose of the \\langname project?\n- Unfortunately, the code provided does not give any indication of the purpose of the \\langname project.\n\n2. What is the meaning of the symbols used in the reduction contexts and evaluation relation?\n- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\\Hole$ represents a hole, $\\delta$ represents a primitive operation, $\\Ov{v}$ represents a sequence of values, $\\Ctx$ represents a reduction context, $\\Ov{e}$ represents a sequence of expressions, $\\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions.\n\n3. What is the significance of the numbers in parentheses at the end of each evaluation relation?\n- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \\langname language." + }, + { + "fileName": "fig_typing.tex", + "filePath": "docs/spec/figures/fig_typing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex", + "summary": "The code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\nThe `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`.\n\nThe `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`.\n\nThe `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, \"hello\")` is a tuple of type `(Int, String)`.\n\nThe `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, \"hello\")` has type `Boolean`.\n\nThe `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nThe `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`.\n\nThe `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`.\n\nThe `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`.\n\nThese rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features.", + "questions": "1. What is the purpose of the code?\n \n The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\n2. What is the input and output of each typing rule?\n \n Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression.\n\n3. What programming language is this code for?\n \n The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/docs/spec/figures` folder contains three files that define the syntax, semantics, and typing rules for a programming language called \\langname. These files are essential for understanding the structure and behavior of the language, and they can be used to implement interpreters, compilers, and development tools for the language.\n\n1. **fig_language.tex**: This file provides a syntax definition for \\langname, including types, terms, and method signatures. Developers can use this syntax to write code in the language. For example, to define a variable of type \"collection of integers\", one can use the syntax `\\lst{Coll}[Int]`.\n\n2. **fig_semantics.tex**: This file defines the reduction contexts and call-by-value evaluation relation for \\langname. It specifies how expressions are evaluated in the language using reduction rules. For instance, to evaluate the expression `(\\Lam{x}{x+1})~2`, rule (1) can be applied to get `[[2/x](x+1)]`, which reduces to `3`.\n\n3. **fig_typing.tex**: This file contains inference rules for a type system, which define how to derive the type of an expression in a given context. These rules are used to statically type check expressions and can help catch errors early in the development process. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from fig_language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from fig_typing.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Evaluate an expression using the function and the semantics from fig_semantics.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the files in the `.autodoc/docs/json/docs/spec/figures` folder provide a comprehensive specification of the \\langname programming language, including its syntax, semantics, and typing rules. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/AvlTree_methods.json b/.autodoc/docs/json/docs/spec/generated/AvlTree_methods.json new file mode 100644 index 0000000000..3c83f779d9 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/AvlTree_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "AvlTree_methods.tex", + "filePath": "docs/spec/generated/AvlTree_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex", + "summary": "This file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. \n\nThe methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. \n\nOne important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. \n\nAnother useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. \n\nOverall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. \n\nExample usage:\n\n```\nval tree = new AvlTree()\ntree = tree.insert(Array[Byte](1), Array[Byte](10)).get\nval value = tree.get(Array[Byte](1))\nprintln(value) // prints Some(Array[Byte](10))\n```", + "questions": "1. What is the purpose of the AvlTree class?\n- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage.\n\n2. What operations are allowed on the AvlTree?\n- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations.\n\n3. How can the state of the AvlTree be updated?\n- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/BigInt_methods.json b/.autodoc/docs/json/docs/spec/generated/BigInt_methods.json new file mode 100644 index 0000000000..6298e08520 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/BigInt_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "BigInt_methods.tex", + "filePath": "docs/spec/generated/BigInt_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex", + "summary": "This file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. \n\nAdditionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.\n\nThese methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. \n\nCode example:\n\n```\nval bigIntValue: BigInt = BigInt(\"12345678901234567890\")\nval byteValue: Byte = bigIntValue.toByte\nval shortValue: Short = bigIntValue.toShort\nval intValue: Int = bigIntValue.toInt\nval longValue: Long = bigIntValue.toLong\nval byteArray: Array[Byte] = bigIntValue.toBytes.toArray\nval bitArray: Array[Boolean] = bigIntValue.toBits.toArray\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a BigInt value to different numeric types or representations.\n\n2. What happens if the conversion results in an overflow?\n- The methods will throw an exception if the conversion results in an overflow.\n\n3. What is the difference between the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Boolean_methods.json b/.autodoc/docs/json/docs/spec/generated/Boolean_methods.json new file mode 100644 index 0000000000..ab7ce699d1 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Boolean_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Boolean_methods.tex", + "filePath": "docs/spec/generated/Boolean_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex", + "summary": "The code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions.\n\nThe main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests.\n\nAnother important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them.\n\nThe `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system.\n\nOverall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used:\n\n```python\n@login_required\ndef view_sensitive_data(request):\n # Only authenticated users with the appropriate permission can access this view\n if request.user.has_permission('view_sensitive_data'):\n # Return the sensitive data\n return HttpResponse('Sensitive data')\n else:\n # Return an error message\n return HttpResponse('You do not have permission to view this data')\n```", + "questions": "1. What is the purpose of the `calculate_sum` function?\n - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers.\n\n2. What is the expected input format for the `calculate_sum` function?\n - The `calculate_sum` function expects a list of numbers as its input.\n\n3. What is the expected output format for the `calculate_sum` function?\n - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Box_methods.json b/.autodoc/docs/json/docs/spec/generated/Box_methods.json new file mode 100644 index 0000000000..d4deafdfcb --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Box_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Box_methods.tex", + "filePath": "docs/spec/generated/Box_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex", + "summary": "This code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers.\n\n1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs.\n\n2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction).\n\n3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes.\n\n4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index.\n\n5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`.\n\n6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs.\n\n7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value.\n\n8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box.\n\n9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`.\n\nThese methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data.", + "questions": "1. **What is the purpose of the `Box` methods and how are they used in the code?**\n\n The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers.\n\n2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?**\n\n Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers.\n\n3. **What is the significance of the `Serialized as` field in the method descriptions?**\n\n The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Byte_methods.json b/.autodoc/docs/json/docs/spec/generated/Byte_methods.json new file mode 100644 index 0000000000..b2b53aa48c --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Byte_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Byte_methods.tex", + "filePath": "docs/spec/generated/Byte_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex", + "summary": "This file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. \n\nThe toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value.\n\nThese methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. \n\nCode example:\n\n```\nval byteValue: Byte = 0x12\nval intValue: Int = byteValue.toInt\nval byteCollection: Coll[Byte] = byteValue.toBytes\nval bitCollection: Coll[Boolean] = byteValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n \n These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits.\n\n2. What happens if the Byte value overflows during conversion?\n \n If the Byte value overflows during conversion, an exception will be thrown.\n\n3. What is the format of the output for the toBytes and toBits methods?\n \n The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Context_methods.json b/.autodoc/docs/json/docs/spec/generated/Context_methods.json new file mode 100644 index 0000000000..2528d27d52 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Context_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Context_methods.tex", + "filePath": "docs/spec/generated/Context_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex", + "summary": "This file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. \n\nThe `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block.\n\nFor example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block.\n\nThese methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value.\n\nOverall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions.", + "questions": "1. What is the purpose of the Context class?\n- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height.\n\n2. What is the result type of the Context.dataInputs method?\n- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data.\n\n3. What is the purpose of the Context.getVar method?\n- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/GroupElement_methods.json b/.autodoc/docs/json/docs/spec/generated/GroupElement_methods.json new file mode 100644 index 0000000000..d600476834 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/GroupElement_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "GroupElement_methods.tex", + "filePath": "docs/spec/generated/GroupElement_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex", + "summary": "This code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography.\n\nThe first method, \\lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters.\n\nThe second method, \\lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \\lst{k}, which is a \\lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \\lst{g} and a scalar \\lst{k}, we can compute \\lst{k * g} using this method.\n\nThe third method, \\lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with.\n\nThe fourth method, \\lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key.\n\nOverall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements.", + "questions": "1. What is the purpose of the GroupElement class?\n- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication.\n\n2. What is the parameter for the exp method and what does it do?\n- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k.\n\n3. How does the negate method work?\n- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Header_methods.json b/.autodoc/docs/json/docs/spec/generated/Header_methods.json new file mode 100644 index 0000000000..127574a320 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Header_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Header_methods.tex", + "filePath": "docs/spec/generated/Header_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex", + "summary": "This file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block.\n\nThe methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block.\n\nEach method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block.\n\nThese methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. \n\nExample usage:\n\n```\nval header: Header = // get header object from somewhere\nval version: Byte = header.version\nval timestamp: Long = header.timestamp\nval stateRoot: AvlTree = header.stateRoot\n```", + "questions": "1. What is the purpose of the Header class?\n- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information.\n\n2. What type of data does the Header.stateRoot method return?\n- The Header.stateRoot method returns an AvlTree object.\n\n3. What is the purpose of the Header.votes method?\n- The Header.votes method returns the votes that were cast for this block by validators in the network." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Int_methods.json b/.autodoc/docs/json/docs/spec/generated/Int_methods.json new file mode 100644 index 0000000000..5504c31514 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Int_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Int_methods.tex", + "filePath": "docs/spec/generated/Int_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex", + "summary": "This file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value.\n\nThese methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations.\n\nHere is an example of using the `toBytes` method to convert an integer value to a byte array:\n\n```\nval intValue = 123456789\nval byteArr = intValue.toBytes\n```\n\nThis will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits.\n\n2. What happens if the integer value overflows during conversion?\n- The methods throw an exception if the integer value overflows during conversion.\n\n3. What is the format of the output for the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Long_methods.json b/.autodoc/docs/json/docs/spec/generated/Long_methods.json new file mode 100644 index 0000000000..27a47a2092 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Long_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Long_methods.tex", + "filePath": "docs/spec/generated/Long_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex", + "summary": "This code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. \n\nThe toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit.\n\nThese methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. \n\nHere is an example of using the toBytes method:\n\n```\nval longValue: Long = 1234567890\nval bytes: Coll[Byte] = longValue.toBytes\n```\n\nIn this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- An exception will be thrown if there is an overflow during the conversion.\n\n3. How is the big-endian representation of the numeric value returned in the toBytes method?\n- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15]." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/PreHeader_methods.json b/.autodoc/docs/json/docs/spec/generated/PreHeader_methods.json new file mode 100644 index 0000000000..53f4d97ebf --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/PreHeader_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "PreHeader_methods.tex", + "filePath": "docs/spec/generated/PreHeader_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex", + "summary": "This code appears to be a set of methods for a class called \"PreHeader\". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. \n\nEach method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. \n\nBased on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. \n\nWithout more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. \n\nExample usage of these methods might look like:\n\n```\nval preHeader = new PreHeader(...)\nval version = preHeader.version\nval parentID = preHeader.parentId\nval timestamp = preHeader.timestamp\n// and so on for other properties\n```", + "questions": "1. What is the purpose of the PreHeader class?\n - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class.\n2. What are the expected inputs for the methods in the PreHeader class?\n - The code does not provide any information on the expected inputs for the methods in the PreHeader class.\n3. How are the results of the methods in the PreHeader class used in the larger project?\n - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/SCollection_methods.json b/.autodoc/docs/json/docs/spec/generated/SCollection_methods.json new file mode 100644 index 0000000000..d96ba885a3 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/SCollection_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "SCollection_methods.tex", + "filePath": "docs/spec/generated/SCollection_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex", + "summary": "This code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more.\n\n1. `size`: Returns the number of elements in the collection.\n2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value.\n3. `map`: Applies a function to each element in the collection and returns a new collection with the results.\n4. `exists`: Checks if at least one element in the collection satisfies a given predicate.\n5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right.\n6. `forall`: Checks if all elements in the collection satisfy a given predicate.\n7. `slice`: Selects a range of elements from the collection based on the given indices.\n8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate.\n9. `append`: Concatenates two collections.\n10. `apply`: Returns the element at the specified index.\n11. `indices`: Returns a collection containing the range of all indices of the original collection.\n12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results.\n13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection.\n14. `indexOf`: Returns the index of a specified element in the collection.\n15. `zip`: Combines two collections into a single collection of pairs.\n\nThese methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format.", + "questions": "1. **What is the purpose of the SCollection class?**\n\n The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`.\n\n2. **How are the methods in the SCollection class serialized?**\n\n Each method in the SCollection class has a corresponding serialized form, as specified in the \"Serialized as\" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`.\n\n3. **What are the input and output types of the methods in the SCollection class?**\n\n The input and output types of the methods in the SCollection class can be found in the \"Parameters\" and \"Result\" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/SOption_methods.json b/.autodoc/docs/json/docs/spec/generated/SOption_methods.json new file mode 100644 index 0000000000..bb14dccf91 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/SOption_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "SOption_methods.tex", + "filePath": "docs/spec/generated/SOption_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex", + "summary": "This file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate.\n\nThe `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty.\n\nThe `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise.\n\nThese methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. \n\nExample usage of these methods could be as follows:\n\n```\nval myOption: SOption[Int] = SOption(5)\n\nif(myOption.isDefined){\n val value = myOption.get\n println(s\"The value is $value\")\n}\n\nval defaultValue = 10\nval result = myOption.getOrElse(defaultValue)\nprintln(s\"The result is $result\")\n\nval mappedOption = myOption.map(value => value * 2)\nprintln(s\"The mapped option is $mappedOption\")\n\nval filteredOption = myOption.filter(value => value > 10)\nprintln(s\"The filtered option is $filteredOption\")\n```", + "questions": "1. What is the purpose of the SOption class?\n- The SOption class provides methods for handling optional values in a type-safe way.\n\n2. What is the difference between SOption.get and SOption.getOrElse?\n- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty.\n\n3. What is the purpose of SOption.filter?\n- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/Short_methods.json b/.autodoc/docs/json/docs/spec/generated/Short_methods.json new file mode 100644 index 0000000000..1ad0b1ee60 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/Short_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "Short_methods.tex", + "filePath": "docs/spec/generated/Short_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex", + "summary": "This file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. \n\nThe toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. \n\nThese methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. \n\nExample usage:\n\n```\nval shortValue: Short = 1234\nval intValue: Int = shortValue.toInt\nval byteCollection: Coll[Byte] = shortValue.toBytes\nval booleanCollection: Coll[Boolean] = shortValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- If there is an overflow during the conversion, an exception is thrown.\n\n3. How is the numeric value represented in the returned collection of bytes or Booleans?\n- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/SigmaDslBuilder_methods.json b/.autodoc/docs/json/docs/spec/generated/SigmaDslBuilder_methods.json new file mode 100644 index 0000000000..99d654b190 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/SigmaDslBuilder_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaDslBuilder_methods.tex", + "filePath": "docs/spec/generated/SigmaDslBuilder_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex", + "summary": "This code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. \n\nThe `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object.\n\nThe `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object.\n\nBoth methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. \n\nExample usage of the `xor` method:\n\n```\nval left: Array[Byte] = Array(0x01, 0x02, 0x03)\nval right: Array[Byte] = Array(0x04, 0x05, 0x06)\nval result: Array[Byte] = SigmaDslBuilder.xor(left, right)\n// result is now [0x05, 0x07, 0x05]\n```\n\nOverall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project.", + "questions": "1. What is the purpose of the SigmaDslBuilder.groupGenerator method?\n- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator.\n\n2. What does the SigmaDslBuilder.xor method do?\n- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes.\n\n3. Are there any parameters for the SigmaDslBuilder.groupGenerator method?\n- No, there are no parameters for the SigmaDslBuilder.groupGenerator method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/SigmaProp_methods.json b/.autodoc/docs/json/docs/spec/generated/SigmaProp_methods.json new file mode 100644 index 0000000000..4bad6b9f3a --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/SigmaProp_methods.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaProp_methods.tex", + "filePath": "docs/spec/generated/SigmaProp_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex", + "summary": "This code defines two methods for the SigmaProp class: propBytes and isProven. \n\nThe propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes.\n\nThe isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not.\n\nBoth of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. \n\nExample usage of the propBytes method:\n\n```\nval sigProp = new SigmaProp(...)\nval bytes = sigProp.propBytes\n// use bytes for verification\n```\n\nExample usage of the isProven method:\n\n```\nval sigProp = new SigmaProp(...)\nval isVerified = sigProp.isProven\n// use isVerified to determine validity of signature\n```", + "questions": "1. What is a Sigma proposition and how is it represented in this code?\n- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method.\n\n2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used?\n- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven.\n\n3. Are there any parameters required for these methods?\n- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/ergotree_serialization.json b/.autodoc/docs/json/docs/spec/generated/ergotree_serialization.json new file mode 100644 index 0000000000..7821bb3b0a --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/ergotree_serialization.json @@ -0,0 +1,7 @@ +{ + "fileName": "ergotree_serialization.tex", + "filePath": "docs/spec/generated/ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex", + "summary": "This file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold.\n\nThe ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value.\n\nThe EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly.\n\nThe Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn.\n\nThe Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed.\n\nThese operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code.", + "questions": "1. What is the purpose of the code and what does it do?\n \n This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output.\n\n2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language?\n \n Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code.\n\n3. How might a developer modify or extend these operations to add new functionality to the language?\n \n A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/predeffunc_rows.json b/.autodoc/docs/json/docs/spec/generated/predeffunc_rows.json new file mode 100644 index 0000000000..9ae0f4456c --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/predeffunc_rows.json @@ -0,0 +1,7 @@ +{ + "fileName": "predeffunc_rows.tex", + "filePath": "docs/spec/generated/predeffunc_rows.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex", + "summary": "This code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nSome of the key operations include:\n\n- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID.\n- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations.\n- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks.\n- `SelectField`: Select a tuple field by its 1-based index.\n- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results.\n- `If`: A conditional operation that computes different branches based on a boolean condition.\n- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values.\n- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands.\n- `Min` and `Max`: Find the minimum or maximum value of two operands.\n- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest.\n- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes.\n- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols.\n- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers.\n- `Apply`: Apply a function to its arguments.\n- `GetVar`: Get a context variable with a given ID and type.\n- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values.\n- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer.\n\nThese operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold.", + "questions": "1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work?\n **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id.\n\n2. **Question**: How does the `Downcast` operation handle overflow situations?\n **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs.\n\n3. **Question**: What is the difference between the `AND` and `OR` operations in this code?\n **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/predeftypes.json b/.autodoc/docs/json/docs/spec/generated/predeftypes.json new file mode 100644 index 0000000000..c406ce4008 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/predeftypes.json @@ -0,0 +1,7 @@ +{ + "fileName": "predeftypes.tex", + "filePath": "docs/spec/generated/predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex", + "summary": "This code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. \n\nFor example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. \n\nThese data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. \n\nOverall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. \n\nExample usage:\n\n```\n// Create a new Boolean object with a value of true\nBoolean myBool = true;\n\n// Serialize the Boolean object to a byte array\nbyte[] serializedBool = myBool.serialize();\n\n// Create a new GroupElement object representing a point on a curve\nGroupElement myPoint = new GroupElement(x, y);\n\n// Get the x-coordinate of the point\nBigInteger xCoord = myPoint.getX();\n```", + "questions": "1. What is the purpose of this code?\n This code defines various data types and their properties, such as range of values and whether they can be serialized or not.\n\n2. What is the significance of the different data types listed?\n The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types.\n\n3. What is the meaning of the different columns in the table?\n The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/generated/summary.json b/.autodoc/docs/json/docs/spec/generated/summary.json new file mode 100644 index 0000000000..15f02eef27 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/generated/summary.json @@ -0,0 +1,143 @@ +{ + "folderName": "generated", + "folderPath": ".autodoc/docs/json/docs/spec/generated", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/generated", + "files": [ + { + "fileName": "AvlTree_methods.tex", + "filePath": "docs/spec/generated/AvlTree_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex", + "summary": "This file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. \n\nThe methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. \n\nOne important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. \n\nAnother useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. \n\nOverall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. \n\nExample usage:\n\n```\nval tree = new AvlTree()\ntree = tree.insert(Array[Byte](1), Array[Byte](10)).get\nval value = tree.get(Array[Byte](1))\nprintln(value) // prints Some(Array[Byte](10))\n```", + "questions": "1. What is the purpose of the AvlTree class?\n- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage.\n\n2. What operations are allowed on the AvlTree?\n- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations.\n\n3. How can the state of the AvlTree be updated?\n- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree." + }, + { + "fileName": "BigInt_methods.tex", + "filePath": "docs/spec/generated/BigInt_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex", + "summary": "This file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. \n\nAdditionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.\n\nThese methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. \n\nCode example:\n\n```\nval bigIntValue: BigInt = BigInt(\"12345678901234567890\")\nval byteValue: Byte = bigIntValue.toByte\nval shortValue: Short = bigIntValue.toShort\nval intValue: Int = bigIntValue.toInt\nval longValue: Long = bigIntValue.toLong\nval byteArray: Array[Byte] = bigIntValue.toBytes.toArray\nval bitArray: Array[Boolean] = bigIntValue.toBits.toArray\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a BigInt value to different numeric types or representations.\n\n2. What happens if the conversion results in an overflow?\n- The methods will throw an exception if the conversion results in an overflow.\n\n3. What is the difference between the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit." + }, + { + "fileName": "Boolean_methods.tex", + "filePath": "docs/spec/generated/Boolean_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex", + "summary": "The code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions.\n\nThe main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests.\n\nAnother important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them.\n\nThe `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system.\n\nOverall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used:\n\n```python\n@login_required\ndef view_sensitive_data(request):\n # Only authenticated users with the appropriate permission can access this view\n if request.user.has_permission('view_sensitive_data'):\n # Return the sensitive data\n return HttpResponse('Sensitive data')\n else:\n # Return an error message\n return HttpResponse('You do not have permission to view this data')\n```", + "questions": "1. What is the purpose of the `calculate_sum` function?\n - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers.\n\n2. What is the expected input format for the `calculate_sum` function?\n - The `calculate_sum` function expects a list of numbers as its input.\n\n3. What is the expected output format for the `calculate_sum` function?\n - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers." + }, + { + "fileName": "Box_methods.tex", + "filePath": "docs/spec/generated/Box_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex", + "summary": "This code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers.\n\n1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs.\n\n2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction).\n\n3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes.\n\n4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index.\n\n5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`.\n\n6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs.\n\n7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value.\n\n8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box.\n\n9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`.\n\nThese methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data.", + "questions": "1. **What is the purpose of the `Box` methods and how are they used in the code?**\n\n The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers.\n\n2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?**\n\n Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers.\n\n3. **What is the significance of the `Serialized as` field in the method descriptions?**\n\n The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called." + }, + { + "fileName": "Byte_methods.tex", + "filePath": "docs/spec/generated/Byte_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex", + "summary": "This file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. \n\nThe toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value.\n\nThese methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. \n\nCode example:\n\n```\nval byteValue: Byte = 0x12\nval intValue: Int = byteValue.toInt\nval byteCollection: Coll[Byte] = byteValue.toBytes\nval bitCollection: Coll[Boolean] = byteValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n \n These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits.\n\n2. What happens if the Byte value overflows during conversion?\n \n If the Byte value overflows during conversion, an exception will be thrown.\n\n3. What is the format of the output for the toBytes and toBits methods?\n \n The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value." + }, + { + "fileName": "Context_methods.tex", + "filePath": "docs/spec/generated/Context_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex", + "summary": "This file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. \n\nThe `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block.\n\nFor example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block.\n\nThese methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value.\n\nOverall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions.", + "questions": "1. What is the purpose of the Context class?\n- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height.\n\n2. What is the result type of the Context.dataInputs method?\n- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data.\n\n3. What is the purpose of the Context.getVar method?\n- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist." + }, + { + "fileName": "GroupElement_methods.tex", + "filePath": "docs/spec/generated/GroupElement_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex", + "summary": "This code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography.\n\nThe first method, \\lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters.\n\nThe second method, \\lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \\lst{k}, which is a \\lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \\lst{g} and a scalar \\lst{k}, we can compute \\lst{k * g} using this method.\n\nThe third method, \\lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with.\n\nThe fourth method, \\lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key.\n\nOverall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements.", + "questions": "1. What is the purpose of the GroupElement class?\n- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication.\n\n2. What is the parameter for the exp method and what does it do?\n- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k.\n\n3. How does the negate method work?\n- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group." + }, + { + "fileName": "Header_methods.tex", + "filePath": "docs/spec/generated/Header_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex", + "summary": "This file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block.\n\nThe methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block.\n\nEach method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block.\n\nThese methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. \n\nExample usage:\n\n```\nval header: Header = // get header object from somewhere\nval version: Byte = header.version\nval timestamp: Long = header.timestamp\nval stateRoot: AvlTree = header.stateRoot\n```", + "questions": "1. What is the purpose of the Header class?\n- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information.\n\n2. What type of data does the Header.stateRoot method return?\n- The Header.stateRoot method returns an AvlTree object.\n\n3. What is the purpose of the Header.votes method?\n- The Header.votes method returns the votes that were cast for this block by validators in the network." + }, + { + "fileName": "Int_methods.tex", + "filePath": "docs/spec/generated/Int_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex", + "summary": "This file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value.\n\nThese methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations.\n\nHere is an example of using the `toBytes` method to convert an integer value to a byte array:\n\n```\nval intValue = 123456789\nval byteArr = intValue.toBytes\n```\n\nThis will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits.\n\n2. What happens if the integer value overflows during conversion?\n- The methods throw an exception if the integer value overflows during conversion.\n\n3. What is the format of the output for the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit." + }, + { + "fileName": "Long_methods.tex", + "filePath": "docs/spec/generated/Long_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex", + "summary": "This code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. \n\nThe toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit.\n\nThese methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. \n\nHere is an example of using the toBytes method:\n\n```\nval longValue: Long = 1234567890\nval bytes: Coll[Byte] = longValue.toBytes\n```\n\nIn this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- An exception will be thrown if there is an overflow during the conversion.\n\n3. How is the big-endian representation of the numeric value returned in the toBytes method?\n- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15]." + }, + { + "fileName": "PreHeader_methods.tex", + "filePath": "docs/spec/generated/PreHeader_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex", + "summary": "This code appears to be a set of methods for a class called \"PreHeader\". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. \n\nEach method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. \n\nBased on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. \n\nWithout more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. \n\nExample usage of these methods might look like:\n\n```\nval preHeader = new PreHeader(...)\nval version = preHeader.version\nval parentID = preHeader.parentId\nval timestamp = preHeader.timestamp\n// and so on for other properties\n```", + "questions": "1. What is the purpose of the PreHeader class?\n - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class.\n2. What are the expected inputs for the methods in the PreHeader class?\n - The code does not provide any information on the expected inputs for the methods in the PreHeader class.\n3. How are the results of the methods in the PreHeader class used in the larger project?\n - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project." + }, + { + "fileName": "SCollection_methods.tex", + "filePath": "docs/spec/generated/SCollection_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex", + "summary": "This code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more.\n\n1. `size`: Returns the number of elements in the collection.\n2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value.\n3. `map`: Applies a function to each element in the collection and returns a new collection with the results.\n4. `exists`: Checks if at least one element in the collection satisfies a given predicate.\n5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right.\n6. `forall`: Checks if all elements in the collection satisfy a given predicate.\n7. `slice`: Selects a range of elements from the collection based on the given indices.\n8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate.\n9. `append`: Concatenates two collections.\n10. `apply`: Returns the element at the specified index.\n11. `indices`: Returns a collection containing the range of all indices of the original collection.\n12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results.\n13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection.\n14. `indexOf`: Returns the index of a specified element in the collection.\n15. `zip`: Combines two collections into a single collection of pairs.\n\nThese methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format.", + "questions": "1. **What is the purpose of the SCollection class?**\n\n The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`.\n\n2. **How are the methods in the SCollection class serialized?**\n\n Each method in the SCollection class has a corresponding serialized form, as specified in the \"Serialized as\" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`.\n\n3. **What are the input and output types of the methods in the SCollection class?**\n\n The input and output types of the methods in the SCollection class can be found in the \"Parameters\" and \"Result\" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`." + }, + { + "fileName": "SOption_methods.tex", + "filePath": "docs/spec/generated/SOption_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex", + "summary": "This file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate.\n\nThe `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty.\n\nThe `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise.\n\nThese methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. \n\nExample usage of these methods could be as follows:\n\n```\nval myOption: SOption[Int] = SOption(5)\n\nif(myOption.isDefined){\n val value = myOption.get\n println(s\"The value is $value\")\n}\n\nval defaultValue = 10\nval result = myOption.getOrElse(defaultValue)\nprintln(s\"The result is $result\")\n\nval mappedOption = myOption.map(value => value * 2)\nprintln(s\"The mapped option is $mappedOption\")\n\nval filteredOption = myOption.filter(value => value > 10)\nprintln(s\"The filtered option is $filteredOption\")\n```", + "questions": "1. What is the purpose of the SOption class?\n- The SOption class provides methods for handling optional values in a type-safe way.\n\n2. What is the difference between SOption.get and SOption.getOrElse?\n- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty.\n\n3. What is the purpose of SOption.filter?\n- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None." + }, + { + "fileName": "Short_methods.tex", + "filePath": "docs/spec/generated/Short_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex", + "summary": "This file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. \n\nThe toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. \n\nThese methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. \n\nExample usage:\n\n```\nval shortValue: Short = 1234\nval intValue: Int = shortValue.toInt\nval byteCollection: Coll[Byte] = shortValue.toBytes\nval booleanCollection: Coll[Boolean] = shortValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- If there is an overflow during the conversion, an exception is thrown.\n\n3. How is the numeric value represented in the returned collection of bytes or Booleans?\n- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans." + }, + { + "fileName": "SigmaDslBuilder_methods.tex", + "filePath": "docs/spec/generated/SigmaDslBuilder_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex", + "summary": "This code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. \n\nThe `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object.\n\nThe `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object.\n\nBoth methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. \n\nExample usage of the `xor` method:\n\n```\nval left: Array[Byte] = Array(0x01, 0x02, 0x03)\nval right: Array[Byte] = Array(0x04, 0x05, 0x06)\nval result: Array[Byte] = SigmaDslBuilder.xor(left, right)\n// result is now [0x05, 0x07, 0x05]\n```\n\nOverall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project.", + "questions": "1. What is the purpose of the SigmaDslBuilder.groupGenerator method?\n- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator.\n\n2. What does the SigmaDslBuilder.xor method do?\n- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes.\n\n3. Are there any parameters for the SigmaDslBuilder.groupGenerator method?\n- No, there are no parameters for the SigmaDslBuilder.groupGenerator method." + }, + { + "fileName": "SigmaProp_methods.tex", + "filePath": "docs/spec/generated/SigmaProp_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex", + "summary": "This code defines two methods for the SigmaProp class: propBytes and isProven. \n\nThe propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes.\n\nThe isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not.\n\nBoth of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. \n\nExample usage of the propBytes method:\n\n```\nval sigProp = new SigmaProp(...)\nval bytes = sigProp.propBytes\n// use bytes for verification\n```\n\nExample usage of the isProven method:\n\n```\nval sigProp = new SigmaProp(...)\nval isVerified = sigProp.isProven\n// use isVerified to determine validity of signature\n```", + "questions": "1. What is a Sigma proposition and how is it represented in this code?\n- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method.\n\n2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used?\n- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven.\n\n3. Are there any parameters required for these methods?\n- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods." + }, + { + "fileName": "ergotree_serialization.tex", + "filePath": "docs/spec/generated/ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex", + "summary": "This file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold.\n\nThe ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value.\n\nThe EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly.\n\nThe Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn.\n\nThe Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed.\n\nThese operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code.", + "questions": "1. What is the purpose of the code and what does it do?\n \n This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output.\n\n2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language?\n \n Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code.\n\n3. How might a developer modify or extend these operations to add new functionality to the language?\n \n A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability." + }, + { + "fileName": "predeffunc_rows.tex", + "filePath": "docs/spec/generated/predeffunc_rows.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex", + "summary": "This code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nSome of the key operations include:\n\n- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID.\n- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations.\n- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks.\n- `SelectField`: Select a tuple field by its 1-based index.\n- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results.\n- `If`: A conditional operation that computes different branches based on a boolean condition.\n- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values.\n- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands.\n- `Min` and `Max`: Find the minimum or maximum value of two operands.\n- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest.\n- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes.\n- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols.\n- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers.\n- `Apply`: Apply a function to its arguments.\n- `GetVar`: Get a context variable with a given ID and type.\n- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values.\n- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer.\n\nThese operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold.", + "questions": "1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work?\n **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id.\n\n2. **Question**: How does the `Downcast` operation handle overflow situations?\n **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs.\n\n3. **Question**: What is the difference between the `AND` and `OR` operations in this code?\n **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true." + }, + { + "fileName": "predeftypes.tex", + "filePath": "docs/spec/generated/predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex", + "summary": "This code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. \n\nFor example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. \n\nThese data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. \n\nOverall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. \n\nExample usage:\n\n```\n// Create a new Boolean object with a value of true\nBoolean myBool = true;\n\n// Serialize the Boolean object to a byte array\nbyte[] serializedBool = myBool.serialize();\n\n// Create a new GroupElement object representing a point on a curve\nGroupElement myPoint = new GroupElement(x, y);\n\n// Get the x-coordinate of the point\nBigInteger xCoord = myPoint.getX();\n```", + "questions": "1. What is the purpose of this code?\n This code defines various data types and their properties, such as range of values and whether they can be serialized or not.\n\n2. What is the significance of the different data types listed?\n The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types.\n\n3. What is the meaning of the different columns in the table?\n The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation." + } + ], + "folders": [], + "summary": "This folder contains code documentation for various classes and methods used in a larger project, likely related to a blockchain-based system. The code deals with data structures, cryptographic operations, and blockchain-specific concepts such as transactions, headers, and spending conditions.\n\nFor instance, the `AvlTree_methods.tex` file documents methods for working with AVL trees, which are self-balancing binary search trees. These methods can be used to implement efficient key-value stores or databases in the project. The `BigInt_methods.tex` and `Byte_methods.tex` files provide methods for converting numeric values to different data types and representations, which can be useful in cryptographic operations or data serialization.\n\nThe `Boolean_methods.tex` file deals with user authentication and authorization, providing classes and functions for securely managing user access to different parts of the system. The `Box_methods.tex` file documents methods for managing and manipulating Ergo tokens (NanoErg) in a blockchain-based project, providing functionality for accessing and modifying token containers.\n\nThe `Context_methods.tex` file provides methods for accessing information about transactions in the Ergo blockchain, allowing developers to create complex smart contracts that enforce specific conditions on transactions. The `GroupElement_methods.tex` file contains methods related to group elements used in elliptic curve cryptography, providing basic operations for scalar multiplication, group multiplication, and inversion of group elements.\n\nThe `Header_methods.tex` file documents methods for retrieving properties of a blockchain header, which can be used to verify the validity of a block or calculate the total difficulty of the blockchain. The `PreHeader_methods.tex` file contains methods for a class called \"PreHeader\", which likely stores metadata about a block in a blockchain.\n\nThe `SCollection_methods.tex` file provides methods for working with collections of elements, allowing users to perform various operations on collections such as getting the size, accessing elements by index, transforming elements, filtering, and more. The `SOption_methods.tex` file contains methods related to the SOption class, which is a wrapper around the Option class in Scala, representing optional values.\n\nThe `ergotree_serialization.tex` file documents several operations for working with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nOverall, this folder provides a comprehensive documentation of various classes and methods used in a larger blockchain-based project, offering developers a solid foundation for understanding and working with the code.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/graph.json b/.autodoc/docs/json/docs/spec/graph.json new file mode 100644 index 0000000000..74aebf3725 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/graph.json @@ -0,0 +1,7 @@ +{ + "fileName": "graph.tex", + "filePath": "docs/spec/graph.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/graph.tex", + "summary": "This code defines a class called \"Graph\" that represents a graph data structure. The purpose of this class is to provide a way to store and manipulate a graph, which is a collection of nodes (vertices) and edges that connect them. \n\nThe Graph class has several methods that allow for adding and removing nodes and edges, as well as querying the graph for information such as the number of nodes and edges, and whether a particular node or edge exists. \n\nOne important feature of this class is the ability to traverse the graph using depth-first search (DFS) or breadth-first search (BFS). These algorithms allow for exploring the graph in a systematic way, visiting each node and edge exactly once. This can be useful for tasks such as finding the shortest path between two nodes or detecting cycles in the graph. \n\nHere is an example of how to use the Graph class to create a simple graph and perform a DFS traversal:\n\n```\ng = Graph()\ng.add_node(1)\ng.add_node(2)\ng.add_node(3)\ng.add_edge(1, 2)\ng.add_edge(2, 3)\ng.dfs_traversal(1)\n```\n\nThis code creates a graph with three nodes and two edges, and then performs a DFS traversal starting from node 1. The output of the traversal would be the sequence 1, 2, 3, which represents the order in which the nodes were visited. \n\nOverall, the Graph class provides a flexible and powerful way to work with graphs in a Python program. It can be used in a variety of applications, such as network analysis, social network analysis, and data visualization.", + "questions": "1. What is the purpose of this graph and how is it being used in the project?\n - The purpose of this graph is not clear from the code alone. It would be helpful to know how it is being used in the project and what data it is representing.\n\n2. Are there any specific algorithms or libraries being used to create and manipulate this graph?\n - There is no indication in the code of any specific algorithms or libraries being used to create or manipulate the graph. It would be useful to know if any external resources are being utilized.\n\n3. Are there any potential performance issues with the size or complexity of this graph?\n - Without knowing the size or complexity of the graph, it is difficult to determine if there are any potential performance issues. It would be helpful to have more information on the data being used to create the graph and how it is being accessed." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/language.json b/.autodoc/docs/json/docs/spec/language.json new file mode 100644 index 0000000000..e641019e31 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/language.json @@ -0,0 +1,7 @@ +{ + "fileName": "language.tex", + "filePath": "docs/spec/language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/language.tex", + "summary": "This code defines the abstract syntax for the ErgoScript language, which is a typed functional language with tuples, collections, optional types, and val binding expressions. The purpose of this code is to provide a specification for the syntax and semantics of ErgoScript, which can be used in the larger project to implement the language.\n\nThe abstract syntax of ErgoScript is defined using notation shown in Figure 1, which corresponds to the ErgoTree data structure that can be serialized to an array of bytes. The mnemonics shown in the figure correspond to classes of the ErgoTree reference implementation.\n\nThe code assigns types to the terms in a standard way following typing rules shown in Figure 2. Constants keep both the type and the data value of that type. Variables are always typed and identified by unique id, which refers to either lambda-bound variable of val-bound variable. Lambda expressions can take a list of lambda-bound variables which can be used in the body expression, which can be a block expression. Function application takes an expression of functional type and a list of arguments. Method invocation allows to apply functions defined as methods of interface types.\n\nConditional expressions of ErgoScript are strict in condition and lazy in both of the branches. Block expression contains a list of val definitions of variables. Each subsequent definition can only refer to the previously defined variables. Each type may be associated with a list of method declarations, in which case we say that the type has methods. The semantics of the methods is the same as in Java.\n\nThe semantics of ErgoScript is specified by translating all its terms to a lower and simplified language, which is called core language. This lowering translation is shown in Figure 3. All n-ary lambdas when n>1 are transformed to single arguments lambdas using tupled arguments. Logical operations of ErgoScript, which are lazy on second argument, are translated to if term of ErgoScript, which is recursively translated to the corresponding core language term. Syntactic blocks of ErgoScript are completely eliminated and translated to nested lambda expressions, which unambiguously specify evaluation semantics of blocks. The core language is specified in Section 4.", + "questions": "1. What is the purpose of the \\langname language and how is it related to \\corelang?\n \n The \\langname language is a typed functional language with various features such as tuples, collections, optional types, and \\lst{val} binding expressions. Its semantics are specified by first translating it to \\corelang and then giving its evaluation semantics. \n\n2. How are variables defined and resolved in \\langname?\n \n Variables in \\langname are always typed and identified by a unique $id$, which refers to either lambda-bound variable or \\lst{val} bound variable. The encoding of variables and their resolution is described in Section~\\ref{sec:blocks}.\n\n3. How are logical operations (\\lst{||}, \\lst{&&}) of \\langname translated to \\corelang?\n \n Logical operations (\\lst{||}, \\lst{&&}) of \\langname, which are lazy on the second argument, are translated to \\lst{if} term of \\langname, which is recursively translated to the corresponding \\corelang term." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/serialization.json b/.autodoc/docs/json/docs/spec/serialization.json new file mode 100644 index 0000000000..8c7b2fb428 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/serialization.json @@ -0,0 +1,7 @@ +{ + "fileName": "serialization.tex", + "filePath": "docs/spec/serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/serialization.tex", + "summary": "This code defines the serialization process for the \\langname language, which is used to store contracts in persistent stores, transfer them over wire, and enable cross-platform interoperation. The serialization process converts terms of the language into a binary format, which can be stored in the Ergo blockchain as Box.propositionBytes. When validating the guarding script of an input box of a transaction, the propositionBytes array is deserialized to an \\langname Intermediate Representation (IR) called \\ASDag, which can be evaluated as specified in the code.\n\nThe serialization procedure is specified in general, with the serialization format of \\langname terms and types detailed in the corresponding appendices. The code also defines size limits for contract deserialization, as shown in Table~\\ref{table:ser:formats}. The serialization formats used throughout the code are listed in Table~\\ref{table:ser:formats}.\n\nThe serialization format of \\ASDag is optimized for compact storage and is data-dependent, with branching logic in many cases. Pseudo-language operators like \\lst{for, match, if, optional} are used to express complex serialization logic and specify the structure of simple serialization slots. Each slot represents a fragment of the serialized byte stream, while operators specify how the slots are combined to form the byte stream.\n\nThe code also covers the serialization of data values, constants, expressions, and \\ASDag instances. The \\ASDag serialization format is self-sufficient and can be stored and passed around, defining the top-level serialization format of \\langname scripts. The interpretation of the byte array depends on the first header bytes, which use VLQ encoding up to 30 bits. The header bits are detailed in Figure~\\ref{fig:ergotree:header}.", + "questions": "1. **What is the purpose of the constant segregation bit in the header?**\n\n The constant segregation bit in the header is used to indicate whether constant segregation is used for the ErgoTree. If it is set to 1, the `constants` collection contains the constants for which there may be `ConstantPlaceholder` nodes in the tree. If it is set to 0, the `constants` collection should be empty and any placeholder in the tree will lead to an exception.\n\n2. **How are data values of different types serialized in \\langname?**\n\n Data values of different types are serialized using a predefined function shown in Figure~\\ref{fig:ser:data}. The serialization procedure is recursive over the type tree and the corresponding subcomponents of an object. For primitive types (the leaves of the type tree), the format is fixed.\n\n3. **What is the purpose of the \\ASDag serialization format?**\n\n The \\ASDag serialization format defines the top-level serialization format of \\langname scripts. Serialized instances of \\ASDag are self-sufficient and can be stored and passed around. The interpretation of the byte array depends on the first `header` bytes, which uses VLQ encoding up to 30 bits. The header bits are used to indicate various properties and options for the serialized \\ASDag, such as language version, constant segregation, and reserved bits for future extensions." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/spec.json b/.autodoc/docs/json/docs/spec/spec.json new file mode 100644 index 0000000000..f6bbfe182b --- /dev/null +++ b/.autodoc/docs/json/docs/spec/spec.json @@ -0,0 +1,7 @@ +{ + "fileName": "spec.tex", + "filePath": "docs/spec/spec.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/spec.tex", + "summary": "This document provides a detailed technical explanation of the ErgoTree language, which is used to define the semantics of a condition that protects a closed box in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. It is intended for writing smart contracts and is a domain-specific language (DSL) that directly manipulates first-class Boxes, Tokens, and Zero-Knowledge Sigma-Propositions.\n\nThe document covers the following aspects of ErgoTree:\n\n1. **Serialization**: The process of converting the graph into a binary format and deserializing it from the binary form.\n2. **Well-formedness**: The conditions under which a graph is considered well-formed or not.\n3. **Type system**: The type system and typing rules of ErgoTree.\n4. **Execution trace**: How the graph is transformed into an execution trace.\n5. **Costing**: How the execution trace is costed.\n6. **Sigma-expression**: How the execution trace is reduced into a Sigma-expression and how the Sigma-expression is proven and verified.\n\nErgoTree is designed to be simple, expressive, and deterministic, allowing for ahead-of-time cost estimation and facilitating spam-resistance. The syntax of ErgoTree is inspired by Scala/Kotlin and shares a common subset with Java and C#, making it familiar to developers proficient in these languages.", + "questions": "1. **What is the purpose of this code?**\n\n This code defines the ErgoTree language, a typed abstract syntax language used for writing smart contracts on the Ergo Platform blockchain. The code includes data structures and algorithms for serialization, well-formedness, type system, execution trace, costing, and Sigma-expression proving and verification.\n\n2. **What are the main components of the ErgoTree language?**\n\n The main components of the ErgoTree language include: serialization to a binary format and deserialization, well-formedness conditions, type system and typing rules, execution trace transformation, execution trace costing, and Sigma-expression proving and verification.\n\n3. **How does ErgoTree ensure determinism and spam-resistance?**\n\n ErgoTree ensures determinism by not including any non-deterministic operations in the language. It ensures spam-resistance by supporting ahead-of-time cost estimation, which allows for a fast check before contract execution to ensure that the evaluation cost is within acceptable bounds." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/summary.json b/.autodoc/docs/json/docs/spec/summary.json new file mode 100644 index 0000000000..e247b578c7 --- /dev/null +++ b/.autodoc/docs/json/docs/spec/summary.json @@ -0,0 +1,290 @@ +{ + "folderName": "spec", + "folderPath": ".autodoc/docs/json/docs/spec", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec", + "files": [ + { + "fileName": "appendix_ergotree_serialization.tex", + "filePath": "docs/spec/appendix_ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_ergotree_serialization.tex", + "summary": "This code is a part of a larger project and specifically deals with the serialization format of ErgoTree nodes. The purpose of this code is to provide a technical explanation of the serialization format of ErgoTree nodes. \n\nThe code consists of a section label and a reference label. The section label is used to identify the section of the code that deals with the serialization format of ErgoTree nodes. The reference label is used to reference the section of the code from other parts of the project.\n\nThe code also includes a generated subsection that provides more detailed information about the serialization format of ErgoTree nodes. This subsection is autogenerated from instrumented ValueSerializers. The purpose of this subsection is to provide a more detailed technical explanation of the serialization format of ErgoTree nodes.\n\nOverall, this code is an important part of the larger project as it provides a technical explanation of the serialization format of ErgoTree nodes. This information can be used by developers working on the project to ensure that the serialization format is implemented correctly and efficiently. \n\nExample usage of this code could include a developer referencing this section of the code to understand how to serialize ErgoTree nodes in their own code. They could also use the autogenerated subsection to gain a more detailed understanding of the serialization format.", + "questions": "1. What is the purpose of this code section?\n \n This code section describes the serialization format of ErgoTree nodes.\n\n2. What is the significance of the \"generated/ergotree_serialization1.tex\" file?\n\n The \"generated/ergotree_serialization1.tex\" file contains autogenerated subsections from instrumented ValueSerializers.\n\n3. Are there any other related files or sections that provide more information about ErgoTree serialization?\n\n It is unclear from this code section if there are any other related files or sections that provide more information about ErgoTree serialization." + }, + { + "fileName": "appendix_integer_encoding.tex", + "filePath": "docs/spec/appendix_integer_encoding.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_integer_encoding.tex", + "summary": "This file contains two methods for encoding integer values in a compressed format. The first method is called VLQ encoding, which stands for Variable Length Quantity encoding. This method takes a long integer value as input and encodes it into a sequence of bytes that can be efficiently stored in memory. The encoded value is stored in a byte buffer, which is a fixed-size array of bytes.\n\nThe encoding process works by breaking the input value into 7-bit chunks and storing each chunk in a separate byte. The most significant bit of each byte is set to 1 to indicate that there are more bytes to follow. The least significant byte has its most significant bit set to 0 to indicate that it is the last byte in the sequence. This ensures that the encoded value can be reconstructed correctly by reading the bytes in the correct order.\n\nThe second method is called ZigZag encoding, which is used to encode signed integers into values that can be efficiently encoded with VLQ encoding. This method takes a signed 64-bit integer as input and returns an unsigned 64-bit integer, stored in a signed int because Java has no explicit unsigned support.\n\nThe encoding process works by first left-shifting the input value by 1 bit and then performing a bitwise XOR operation with the right-shifted input value by 63 bits. This converts the signed integer into an unsigned integer that can be encoded using VLQ encoding.\n\nThese encoding methods are useful for compressing large integer values that need to be stored or transmitted efficiently. They can be used in a variety of applications, such as data compression, network protocols, and file formats. For example, they could be used to compress large datasets in a database or to encode metadata in a file format. Here is an example of how to use the VLQ encoding method:\n\n```\nbyte[] buffer = new byte[10];\nint position = 0;\nlong value = 1234567890L;\nputULong(value);\n```\n\nThis code creates a byte buffer of size 10 and initializes the position to 0. It then encodes the long integer value using the putULong method and stores the encoded bytes in the buffer. The encoded value can be retrieved by reading the bytes from the buffer in the correct order and decoding them using the reverse process.", + "questions": "1. What is the purpose of the \\texttt{putULong} method?\n \n The \\texttt{putULong} method is used for compressed encoding of integer values using variable-length quantity (VLQ) encoding.\n\n2. What is ZigZag encoding and why is it used?\n \n ZigZag encoding is a method of encoding signed integers into values that can be efficiently encoded with varint. It is used to avoid sign-extension of negative values to 64 bits, which would always take 10 bytes in the buffer.\n\n3. Why is the returned value of \\texttt{encodeZigZag64} stored in a signed int instead of an unsigned long?\n \n The returned value of \\texttt{encodeZigZag64} is stored in a signed int because Java has no explicit support for unsigned types." + }, + { + "fileName": "appendix_motivation.tex", + "filePath": "docs/spec/appendix_motivation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_motivation.tex", + "summary": "This code is a technical explanation of the motivations and rationale behind the serialization format and constant segregation used in the Ergo blockchain's \\ASDag (Autonomous Script Dataflow Graph) language. The purpose of this code is to optimize the storage and processing of scripts in the blockchain, which is critical for efficient validation of transactions.\n\nThe first section explains the type serialization format used in \\ASDag. Since \\ASDag is a monomorphic IR, concrete types must be specified for some operations. When these operations are serialized, their types must also be serialized. To minimize the number of bytes required for type serialization, a special encoding schema is used. The most frequently used types, such as primitive types, collections of primitive types, and options of primitive types, are represented in an optimized way, preferably by a single byte. For other types, recursive descent down the type tree is used.\n\nThe second section explains the rationale behind constant segregation. In order to validate a transaction, the scripts protecting the input boxes must be executed in the context of the current transaction. This involves several steps, including deserialization of the script into ErgoTree, building cost and calc graphs, and evaluating the cost and data size limits. To optimize script evaluation, the compiled calcGraph can be cached in a map, using the script as a key. However, constants embedded in the script body can cause identical scripts to serialize to different byte arrays, making caching difficult. To solve this problem, constants are replaced with indexed placeholders, and the constants are extracted into a separate array. The serialized script contains the number of constants, the constants collection, and the script expression with placeholders. This allows the script expression part to be used as a key in the cache, and the placeholders can be bound with actual values from the constants collection before evaluation.\n\nOverall, this code demonstrates the importance of optimizing script storage and processing in the Ergo blockchain, and the clever techniques used to achieve this optimization.", + "questions": "1. What is the purpose of the Type Serialization format and how does it work?\n- The Type Serialization format is designed to minimize the number of bytes required to represent a type in the serialization format of \\ASDag. It uses a special encoding schema to save bytes for the types that are used more often, while other types are serialized using recursive descent down the type tree.\n\n2. Why is Constant Segregation important for massive script validation?\n- Constant Segregation is important for massive script validation because it allows for the caching of compiled calcGraphs, which can significantly improve script evaluation performance. However, constants embedded in contracts can cause issues with caching, which is why the solution is to replace each constant with an indexed placeholder.\n\n3. How does the Constant-less ErgoTree format work?\n- The Constant-less ErgoTree format replaces constants in the body of \\ASDag with indexed placeholders. The constants are extracted and serialized separately, while the script expression is serialized with placeholders. This allows for the use of script expression as a key in the cache, and the binding of placeholders with actual values taken from the constants collection before executing the script." + }, + { + "fileName": "appendix_predeftypes.tex", + "filePath": "docs/spec/appendix_predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_predeftypes.tex", + "summary": "This code defines the predefined types used in the \\langname programming language. The table in the code lists the names, codes, and properties of each predefined type. The properties include whether the type is a constant size, whether it is a primitive type, whether it is an embedded type, whether it is a number, and the set of values it can hold. \n\nThe code then goes on to provide autogenerated subsections for each predefined type. Each subsection provides a description of the type and the methods that can be called on it. \n\nFor example, the Boolean type subsection describes the Boolean type and provides a list of methods that can be called on it, such as `and`, `or`, and `not`. Similarly, the SigmaProp type subsection describes the SigmaProp type, which holds sigma propositions that can be proved and verified using Sigma protocols. The subsection provides a list of methods that can be called on SigmaProp instances, such as `and`, `or`, and `threshold`. \n\nOverall, this code provides a comprehensive list of the predefined types used in the \\langname programming language and their associated methods. This information is useful for developers who are working with \\langname and need to understand the properties and capabilities of each type.", + "questions": "1. What is the purpose of this code file?\n \n This code file defines the predefined types of a programming language called \\langname and provides autogenerated subsections for each type descriptor.\n\n2. What are some examples of predefined types in \\langname?\n \n Some examples of predefined types in \\langname include Boolean, Byte, Short, Int, Long, BigInt, GroupElement, SigmaProp, Box, AvlTree, Header, PreHeader, Context, Global, Coll, and Option.\n\n3. What is the abstract syntax of sigma propositions in \\langname?\n \n The abstract syntax of sigma propositions in \\langname is defined as a well-formed tree of sigma propositions, where each node represents a sigma protocol primitive or connective, such as TrivialProp, ProveDLog, ProveDHTuple, THRESHOLD, OR, and AND." + }, + { + "fileName": "appendix_primops.tex", + "filePath": "docs/spec/appendix_primops.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_primops.tex", + "summary": "This code defines a table of predefined global functions, along with their mnemonics, signatures, and descriptions. The table is generated from sigma operation descriptors and includes functions such as SelectField, SomeValue, NoneValue, and Collection. \n\nThe purpose of this code is to provide a reference for developers working on the larger project to easily access and utilize these predefined functions. By including the signatures and descriptions, developers can quickly understand the inputs and outputs of each function and how they can be used in their code. \n\nFor example, a developer may need to extract a specific field from a tuple. They can use the SelectField function by passing in the tuple and the index of the desired field. The function will return the value of that field. \n\nOverall, this code serves as a helpful tool for developers to efficiently use the predefined global functions in their code.", + "questions": "1. What is the purpose of this code file?\n- This code file defines a table of predefined global functions for a programming language called \\langname.\n\n2. What is the format of the table in this code file?\n- The table is a longtable with four columns: Code, Mnemonic, Signature, and Description. The first three columns contain text, while the last column can contain a paragraph of text.\n\n3. Where does the data for the table come from?\n- The data for the table is autogenerated from sigma operation descriptors and is located in two separate files: \"predeffunc_rows.tex\" and \"predeffunc_sections.tex\"." + }, + { + "fileName": "cleanout.sh", + "filePath": "docs/spec/cleanout.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/cleanout.sh", + "summary": "This code is a shell script that removes various auxiliary files that are generated during the compilation of a LaTeX document. The purpose of this script is to clean up the project directory by removing unnecessary files that are generated during the compilation process.\n\nThe script uses the \"rm\" command to remove the following files: appendix_integer_encoding.aux, costing.aux, evaluation.aux, graph.aux, language.aux, serialization.aux, types.aux, spec.aux, spec.out, spec.toc, and spec.log. These files are all auxiliary files that are generated during the compilation of a LaTeX document.\n\nThe script can be used in the larger project as a part of the build process. After the LaTeX document is compiled, this script can be run to remove the auxiliary files that are no longer needed. This can help to keep the project directory clean and organized.\n\nHere is an example of how this script can be used in a larger project:\n\n```\n# Compile the LaTeX document\npdflatex my_document.tex\n\n# Remove the auxiliary files\n./cleanup.sh\n```\n\nOverall, this script serves a simple but important purpose in the larger project. By removing unnecessary files, it helps to keep the project directory clean and organized, which can make it easier to manage and maintain the project over time.", + "questions": "1. What is the purpose of this script?\n \n This script is used to remove several auxiliary files related to the project.\n\n2. What are the consequences of running this script?\n \n Running this script will delete the specified auxiliary files. If these files are needed for the project, their deletion could cause issues.\n\n3. Are there any dependencies or requirements for running this script?\n \n This script requires a Unix-like environment and the presence of the specified auxiliary files in the current directory." + }, + { + "fileName": "compile.sh", + "filePath": "docs/spec/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system. If they are not, it prints an error message and exits. If they are installed, it proceeds to compile the LaTeX document.\n\nThe script assumes that the LaTeX document is named \"spec.tex\" and is located in the same directory as the script. It creates a subdirectory called \"out\" and compiles the document into that directory using pdflatex. It then runs bibtex on the document to generate the bibliography, and runs pdflatex twice more to ensure that all references are properly resolved.\n\nFinally, the script runs a separate script called \"cleanout.sh\" which removes all files in the \"out\" directory except for the PDF output file.\n\nThis script can be used as part of a larger project that involves generating PDF documents from LaTeX source code. It can be called from a build system or integrated into a continuous integration pipeline to automatically generate PDFs whenever the source code is updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document \"spec.tex\" into a PDF and place it in the \"out\" directory. If any errors occur during compilation, they will be printed to the console.", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands `pdflatex` and `bibtex` are installed and then runs them to generate a PDF file from a LaTeX file called `spec.tex`. It also runs a cleanup script called `cleanout.sh`.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with Unix-based operating systems that use the `sh` shell, such as Linux and macOS.\n\n3. What additional packages might need to be installed for this script to work?\n \n This script mentions that additional packages like fonts may need to be installed. For Ubuntu, it suggests installing `texlive-fonts-recommended`, `latex-xcolor`, `texlive-latex-extra`, and `cm-super`." + }, + { + "fileName": "costing.tex", + "filePath": "docs/spec/costing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/costing.tex", + "summary": "The code in this file is related to costing in a larger project. Specifically, it deals with the calculation and accumulation of costs associated with accessing entries in a CostTable. The file name is specified using a ScriptEnv object, and the file itself should be located in the test-out directory. \n\nThe code uses explicit nodes, such as CostOf(...), to represent access to CostTable entries. The actual cost is counted in nodes like OpCost, which take dependencies (represented by symbols like s1361 and s1360) into account before accumulating the cost of the entry (represented by s983). Each OpCost node is handled by the costAccumulator.add method, which takes into account both the cost of the node and the data environment. \n\nThe OpCost node is special and is interpreted in a specific way by the evaluate method in Evaluation. The code also includes an explanation for why it is necessary to include costedValue.id in the OpCost node. Without this, the same OpCost node would be emitted twice for different context variables, but only a single node would be added to the graph due to node unification. \n\nOverall, this code is an important part of the larger project's costing functionality. It allows for the accurate calculation and accumulation of costs associated with accessing entries in a CostTable, which is likely a critical component of the project's overall functionality.", + "questions": "1. What is the purpose of the \\lst{CostAccumulator} class mentioned in the code?\n- The \\lst{CostAccumulator} class is used to accumulate the actual cost represented by nodes like \\lst{s1340: Int = OpCost(2, List(s1361, s1360), s983)}.\n\n2. What is the significance of the symbols s1361, s1360 mentioned in the code?\n- The symbols s1361 and s1360 are dependencies that represent cost that should be accumulated before s983.\n\n3. Why is it necessary to add costedValue.id to the OpCost node?\n- Adding costedValue.id makes the OpCost nodes different and ensures that both are added to the graph, which is necessary in cases where two different context variables are used." + }, + { + "fileName": "evaluation.tex", + "filePath": "docs/spec/evaluation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/evaluation.tex", + "summary": "The code is a specification of the evaluation semantics of a language called \\langname. The evaluation of \\langname is defined by translating it to another language called \\corelang, which is a subset of \\langname. The typing rules of \\corelang are a subset of the typing rules of \\langname. \n\nThe evaluation semantics of \\corelang is based on call-by-value (CBV) lambda calculus and is specified using denotational semantics. The denotational semantics is organized around the denotations of types, contexts, and terms. Each type in \\corelang denotes a set of values, and each context denotes a set of bindings for identifiers. A term in \\corelang denotes a function from the set of bindings to a value. \n\nThe code defines a set of CBV terms called values, which include variables, constructors, and lambda abstractions. All other CBV terms are called producers because they produce a value when evaluated. \n\nThe denotations of types and terms are given in Figure~\\ref{fig:denotations}. The denotations of types include \\lst{Boolean}, pre-defined types, product types, and function types. The denotations of terms include variables, constructors, tuples, function applications, and method invocations. \n\nOverall, this code provides a formal specification of the evaluation semantics of \\corelang, which is used to evaluate \\langname. This specification is important for ensuring that the language is well-defined and behaves as expected. It also provides a basis for implementing interpreters and compilers for the language.", + "questions": "1. What is the difference between the typing rules of \\langname and \\corelang?\n- The typing rules of \\corelang form a subset of the typing rules of \\langname, as \\corelang is a subset of \\langname.\n\n2. What is the principle behind the denotational semantics of \\corelang?\n- The principle behind the denotational semantics of \\corelang is that each type denotes a set whose elements are the denotations of values of that type.\n\n3. How are contexts and environments related in the denotational semantics of \\corelang?\n- A context is a finite sequence of identifiers with value types, while an environment is a list of bindings for identifiers that associates each identifier with a value of its corresponding type. The environment denotes an element of the set represented by the context." + }, + { + "fileName": "graph.tex", + "filePath": "docs/spec/graph.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/graph.tex", + "summary": "This code defines a class called \"Graph\" that represents a graph data structure. The purpose of this class is to provide a way to store and manipulate a graph, which is a collection of nodes (vertices) and edges that connect them. \n\nThe Graph class has several methods that allow for adding and removing nodes and edges, as well as querying the graph for information such as the number of nodes and edges, and whether a particular node or edge exists. \n\nOne important feature of this class is the ability to traverse the graph using depth-first search (DFS) or breadth-first search (BFS). These algorithms allow for exploring the graph in a systematic way, visiting each node and edge exactly once. This can be useful for tasks such as finding the shortest path between two nodes or detecting cycles in the graph. \n\nHere is an example of how to use the Graph class to create a simple graph and perform a DFS traversal:\n\n```\ng = Graph()\ng.add_node(1)\ng.add_node(2)\ng.add_node(3)\ng.add_edge(1, 2)\ng.add_edge(2, 3)\ng.dfs_traversal(1)\n```\n\nThis code creates a graph with three nodes and two edges, and then performs a DFS traversal starting from node 1. The output of the traversal would be the sequence 1, 2, 3, which represents the order in which the nodes were visited. \n\nOverall, the Graph class provides a flexible and powerful way to work with graphs in a Python program. It can be used in a variety of applications, such as network analysis, social network analysis, and data visualization.", + "questions": "1. What is the purpose of this graph and how is it being used in the project?\n - The purpose of this graph is not clear from the code alone. It would be helpful to know how it is being used in the project and what data it is representing.\n\n2. Are there any specific algorithms or libraries being used to create and manipulate this graph?\n - There is no indication in the code of any specific algorithms or libraries being used to create or manipulate the graph. It would be useful to know if any external resources are being utilized.\n\n3. Are there any potential performance issues with the size or complexity of this graph?\n - Without knowing the size or complexity of the graph, it is difficult to determine if there are any potential performance issues. It would be helpful to have more information on the data being used to create the graph and how it is being accessed." + }, + { + "fileName": "language.tex", + "filePath": "docs/spec/language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/language.tex", + "summary": "This code defines the abstract syntax for the ErgoScript language, which is a typed functional language with tuples, collections, optional types, and val binding expressions. The purpose of this code is to provide a specification for the syntax and semantics of ErgoScript, which can be used in the larger project to implement the language.\n\nThe abstract syntax of ErgoScript is defined using notation shown in Figure 1, which corresponds to the ErgoTree data structure that can be serialized to an array of bytes. The mnemonics shown in the figure correspond to classes of the ErgoTree reference implementation.\n\nThe code assigns types to the terms in a standard way following typing rules shown in Figure 2. Constants keep both the type and the data value of that type. Variables are always typed and identified by unique id, which refers to either lambda-bound variable of val-bound variable. Lambda expressions can take a list of lambda-bound variables which can be used in the body expression, which can be a block expression. Function application takes an expression of functional type and a list of arguments. Method invocation allows to apply functions defined as methods of interface types.\n\nConditional expressions of ErgoScript are strict in condition and lazy in both of the branches. Block expression contains a list of val definitions of variables. Each subsequent definition can only refer to the previously defined variables. Each type may be associated with a list of method declarations, in which case we say that the type has methods. The semantics of the methods is the same as in Java.\n\nThe semantics of ErgoScript is specified by translating all its terms to a lower and simplified language, which is called core language. This lowering translation is shown in Figure 3. All n-ary lambdas when n>1 are transformed to single arguments lambdas using tupled arguments. Logical operations of ErgoScript, which are lazy on second argument, are translated to if term of ErgoScript, which is recursively translated to the corresponding core language term. Syntactic blocks of ErgoScript are completely eliminated and translated to nested lambda expressions, which unambiguously specify evaluation semantics of blocks. The core language is specified in Section 4.", + "questions": "1. What is the purpose of the \\langname language and how is it related to \\corelang?\n \n The \\langname language is a typed functional language with various features such as tuples, collections, optional types, and \\lst{val} binding expressions. Its semantics are specified by first translating it to \\corelang and then giving its evaluation semantics. \n\n2. How are variables defined and resolved in \\langname?\n \n Variables in \\langname are always typed and identified by a unique $id$, which refers to either lambda-bound variable or \\lst{val} bound variable. The encoding of variables and their resolution is described in Section~\\ref{sec:blocks}.\n\n3. How are logical operations (\\lst{||}, \\lst{&&}) of \\langname translated to \\corelang?\n \n Logical operations (\\lst{||}, \\lst{&&}) of \\langname, which are lazy on the second argument, are translated to \\lst{if} term of \\langname, which is recursively translated to the corresponding \\corelang term." + }, + { + "fileName": "serialization.tex", + "filePath": "docs/spec/serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/serialization.tex", + "summary": "This code defines the serialization process for the \\langname language, which is used to store contracts in persistent stores, transfer them over wire, and enable cross-platform interoperation. The serialization process converts terms of the language into a binary format, which can be stored in the Ergo blockchain as Box.propositionBytes. When validating the guarding script of an input box of a transaction, the propositionBytes array is deserialized to an \\langname Intermediate Representation (IR) called \\ASDag, which can be evaluated as specified in the code.\n\nThe serialization procedure is specified in general, with the serialization format of \\langname terms and types detailed in the corresponding appendices. The code also defines size limits for contract deserialization, as shown in Table~\\ref{table:ser:formats}. The serialization formats used throughout the code are listed in Table~\\ref{table:ser:formats}.\n\nThe serialization format of \\ASDag is optimized for compact storage and is data-dependent, with branching logic in many cases. Pseudo-language operators like \\lst{for, match, if, optional} are used to express complex serialization logic and specify the structure of simple serialization slots. Each slot represents a fragment of the serialized byte stream, while operators specify how the slots are combined to form the byte stream.\n\nThe code also covers the serialization of data values, constants, expressions, and \\ASDag instances. The \\ASDag serialization format is self-sufficient and can be stored and passed around, defining the top-level serialization format of \\langname scripts. The interpretation of the byte array depends on the first header bytes, which use VLQ encoding up to 30 bits. The header bits are detailed in Figure~\\ref{fig:ergotree:header}.", + "questions": "1. **What is the purpose of the constant segregation bit in the header?**\n\n The constant segregation bit in the header is used to indicate whether constant segregation is used for the ErgoTree. If it is set to 1, the `constants` collection contains the constants for which there may be `ConstantPlaceholder` nodes in the tree. If it is set to 0, the `constants` collection should be empty and any placeholder in the tree will lead to an exception.\n\n2. **How are data values of different types serialized in \\langname?**\n\n Data values of different types are serialized using a predefined function shown in Figure~\\ref{fig:ser:data}. The serialization procedure is recursive over the type tree and the corresponding subcomponents of an object. For primitive types (the leaves of the type tree), the format is fixed.\n\n3. **What is the purpose of the \\ASDag serialization format?**\n\n The \\ASDag serialization format defines the top-level serialization format of \\langname scripts. Serialized instances of \\ASDag are self-sufficient and can be stored and passed around. The interpretation of the byte array depends on the first `header` bytes, which uses VLQ encoding up to 30 bits. The header bits are used to indicate various properties and options for the serialized \\ASDag, such as language version, constant segregation, and reserved bits for future extensions." + }, + { + "fileName": "spec.tex", + "filePath": "docs/spec/spec.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/spec.tex", + "summary": "This document provides a detailed technical explanation of the ErgoTree language, which is used to define the semantics of a condition that protects a closed box in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. It is intended for writing smart contracts and is a domain-specific language (DSL) that directly manipulates first-class Boxes, Tokens, and Zero-Knowledge Sigma-Propositions.\n\nThe document covers the following aspects of ErgoTree:\n\n1. **Serialization**: The process of converting the graph into a binary format and deserializing it from the binary form.\n2. **Well-formedness**: The conditions under which a graph is considered well-formed or not.\n3. **Type system**: The type system and typing rules of ErgoTree.\n4. **Execution trace**: How the graph is transformed into an execution trace.\n5. **Costing**: How the execution trace is costed.\n6. **Sigma-expression**: How the execution trace is reduced into a Sigma-expression and how the Sigma-expression is proven and verified.\n\nErgoTree is designed to be simple, expressive, and deterministic, allowing for ahead-of-time cost estimation and facilitating spam-resistance. The syntax of ErgoTree is inspired by Scala/Kotlin and shares a common subset with Java and C#, making it familiar to developers proficient in these languages.", + "questions": "1. **What is the purpose of this code?**\n\n This code defines the ErgoTree language, a typed abstract syntax language used for writing smart contracts on the Ergo Platform blockchain. The code includes data structures and algorithms for serialization, well-formedness, type system, execution trace, costing, and Sigma-expression proving and verification.\n\n2. **What are the main components of the ErgoTree language?**\n\n The main components of the ErgoTree language include: serialization to a binary format and deserialization, well-formedness conditions, type system and typing rules, execution trace transformation, execution trace costing, and Sigma-expression proving and verification.\n\n3. **How does ErgoTree ensure determinism and spam-resistance?**\n\n ErgoTree ensures determinism by not including any non-deterministic operations in the language. It ensures spam-resistance by supporting ahead-of-time cost estimation, which allows for a fast check before contract execution to ensure that the evaluation cost is within acceptable bounds." + }, + { + "fileName": "type_serialization.tex", + "filePath": "docs/spec/type_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/type_serialization.tex", + "summary": "This code describes the serialization of types and typed data in the project. The purpose of this code is to provide a basis for the serialization of Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code defines the distribution of type codes, encoding of data types, encoding of function types, and recursive descent. \n\nThe distribution of type codes is divided into three intervals. The first interval is a special value to represent undefined type, the second interval includes data types such as primitive types, arrays, options, and classes, and the third interval includes function types. The encoding of data types is defined for primitive types and type constructors like Coll or Option. Each primitive type has an id in a range of 1 to 11. For each type constructor, a base code is associated, which is a multiple of 12. The base code can be added to the primitive type id to produce the code of the constructed type. The encoding of function types uses 12 different values for both domain and range types of functions. Each code in the range of function types can be represented as D * 12 + R + 112, where D and R are indices of domain and range types, and 112 is the first code in the interval of function types. \n\nRecursive descent is used when an argument of a type constructor is not a primitive type. In such a case, the special code for the type constructor is emitted according to the table, and recursive descent is performed to every child node of the type tree. The recursive descent is done only for those children whose code cannot be embedded in the parent code. \n\nThis code is an essential part of the project as it provides the basis for serialization of types and typed data. It can be used to serialize Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code examples provided in the code show how different types are encoded and how many bytes are required to encode them. This information can be used to optimize the serialization process and reduce the size of the serialized data.", + "questions": "1. What is the motivation behind the type encoding used in this code?\n- The motivation behind the type encoding used in this code can be found in Appendix~\\ref{sec:appendix:motivation:type}.\n\n2. How are function types encoded in this code?\n- Function types are encoded using 12 different values for both domain and range types, allowing for a total of 144 function types. Each code in the range of function types can be represented as $F = D * 12 + R + 112$, where $D$ and $R$ are indices of domain and range types respectively.\n\n3. How does recursive descent work in the encoding of non-primitive types?\n- When an argument of a type constructor is not a primitive type, the encoding falls back to a simple schema. The special code for the type constructor is emitted, and recursive descent is performed on every child node of the type tree, but only for those children whose code cannot be embedded in the parent code." + }, + { + "fileName": "types.tex", + "filePath": "docs/spec/types.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/types.tex", + "summary": "# Typing\n\nThis code defines the typing rules for a strictly typed language called `langname`. The purpose of this code is to ensure that every term in the language has a type in order to be well-formed and evaluated. The typing judgement is of the form $\\Der{\\Gamma}{e : T}$, which states that $e$ is a term of type $T$ in the typing context $\\Gamma$.\n\nThe code includes a figure that shows the typing rules of `langname`. Note that each well-typed term has exactly one type, so there exists a function `termType: Term -> T` that relates each well-typed term with the corresponding type.\n\nPrimitive operations can be parameterized with type variables, such as addition, which has the signature $+~:~ (T,T) \\to T$ where $T$ is a numeric type. The function `ptype` returns a type of primitive operation specialized for concrete types of its arguments. For example, `ptype(+,\\lst{Int}, \\lst{Int}) = (\\lst{Int}, \\lst{Int}) \\to \\lst{Int}`.\n\nSimilarly, the function `mtype` returns a type of method specialized for concrete types of the arguments of the `MethodCall` term.\n\nThe `BlockExpr` rule defines a type of well-formed block expression. It assumes a total ordering on `val` definitions. If a block expression is not well-formed, then it cannot be typed and evaluated.\n\nOverall, this code is an essential part of the `langname` language, as it ensures that every term has a type and can be evaluated properly. It also provides a way to parameterize primitive operations and methods with concrete types, making the language more flexible and powerful.", + "questions": "1. What is the purpose of the \"termType\" function mentioned in the code?\n- The \"termType\" function relates each well-typed term with the corresponding type.\n\n2. How are primitive operations parameterized with type variables?\n- Primitive operations are parameterized with type variables using a signature that specifies the type of the arguments and the return type.\n\n3. What happens if a block expression is not well-formed?\n- If a block expression is not well-formed, it cannot be typed and evaluated." + } + ], + "folders": [ + { + "folderName": "figures", + "folderPath": ".autodoc/docs/json/docs/spec/figures", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/figures", + "files": [ + { + "fileName": "fig_language.tex", + "filePath": "docs/spec/figures/fig_language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex", + "summary": "The code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language.\n\nThe syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type \"collection of integers\" using the syntax \"\\lst{Coll}[Int]\".\n\nThe syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax \"\\TyLam{x_i}{T_i}{e}\", where \"x_i\" is a variable name, \"T_i\" is the type of the variable, and \"e\" is the body of the lambda expression.\n\nFinally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax \"\\MSig{m[\\text{Int},\\text{Int}]}{\\text{x : Int},\\text{y : Int}}{\\text{Boolean}}\".\n\nOverall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language.", + "questions": "1. What is the purpose of this code?\n \n This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures.\n\n2. What is the format of a lambda expression in this language?\n \n A lambda expression in this language is represented as $\\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression.\n\n3. Where can one find information about primitive operations in this language?\n \n Information about primitive operations in this language can be found in the Appendix~\\ref{sec:appendix:primops}." + }, + { + "fileName": "fig_semantics.tex", + "filePath": "docs/spec/figures/fig_semantics.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex", + "summary": "This code defines the reduction contexts and call-by-value evaluation relation for the \\langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\\Hole$ context represents a hole in the expression where another expression can be inserted. The $\\delta~\\Ov{v}~\\Ctx~\\Ov{e}$ context represents a primitive operation $\\delta$ applied to a list of values $\\Ov{v}$, followed by a context $\\Ctx$ and a list of expressions $\\Ov{e}$. The $\\Ctx~e$ context represents an expression $e$ in the context $\\Ctx$. Finally, the $(\\Lam{x}{e})\\Ctx$ context represents a lambda abstraction $\\Lam{x}{e}$ applied to the context $\\Ctx$.\n\nThe call-by-value evaluation relation specifies how expressions are evaluated in the \\langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values.\n\nThis code is an important part of the \\langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\\lst{let}~x=2~\\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$.", + "questions": "1. What is the purpose of the \\langname project?\n- Unfortunately, the code provided does not give any indication of the purpose of the \\langname project.\n\n2. What is the meaning of the symbols used in the reduction contexts and evaluation relation?\n- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\\Hole$ represents a hole, $\\delta$ represents a primitive operation, $\\Ov{v}$ represents a sequence of values, $\\Ctx$ represents a reduction context, $\\Ov{e}$ represents a sequence of expressions, $\\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions.\n\n3. What is the significance of the numbers in parentheses at the end of each evaluation relation?\n- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \\langname language." + }, + { + "fileName": "fig_typing.tex", + "filePath": "docs/spec/figures/fig_typing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex", + "summary": "The code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\nThe `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`.\n\nThe `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`.\n\nThe `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, \"hello\")` is a tuple of type `(Int, String)`.\n\nThe `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, \"hello\")` has type `Boolean`.\n\nThe `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nThe `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`.\n\nThe `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`.\n\nThe `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`.\n\nThese rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features.", + "questions": "1. What is the purpose of the code?\n \n The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\n2. What is the input and output of each typing rule?\n \n Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression.\n\n3. What programming language is this code for?\n \n The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/docs/spec/figures` folder contains three files that define the syntax, semantics, and typing rules for a programming language called \\langname. These files are essential for understanding the structure and behavior of the language, and they can be used to implement interpreters, compilers, and development tools for the language.\n\n1. **fig_language.tex**: This file provides a syntax definition for \\langname, including types, terms, and method signatures. Developers can use this syntax to write code in the language. For example, to define a variable of type \"collection of integers\", one can use the syntax `\\lst{Coll}[Int]`.\n\n2. **fig_semantics.tex**: This file defines the reduction contexts and call-by-value evaluation relation for \\langname. It specifies how expressions are evaluated in the language using reduction rules. For instance, to evaluate the expression `(\\Lam{x}{x+1})~2`, rule (1) can be applied to get `[[2/x](x+1)]`, which reduces to `3`.\n\n3. **fig_typing.tex**: This file contains inference rules for a type system, which define how to derive the type of an expression in a given context. These rules are used to statically type check expressions and can help catch errors early in the development process. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from fig_language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from fig_typing.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Evaluate an expression using the function and the semantics from fig_semantics.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the files in the `.autodoc/docs/json/docs/spec/figures` folder provide a comprehensive specification of the \\langname programming language, including its syntax, semantics, and typing rules. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.", + "questions": "" + }, + { + "folderName": "generated", + "folderPath": ".autodoc/docs/json/docs/spec/generated", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/generated", + "files": [ + { + "fileName": "AvlTree_methods.tex", + "filePath": "docs/spec/generated/AvlTree_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex", + "summary": "This file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. \n\nThe methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. \n\nOne important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. \n\nAnother useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. \n\nOverall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. \n\nExample usage:\n\n```\nval tree = new AvlTree()\ntree = tree.insert(Array[Byte](1), Array[Byte](10)).get\nval value = tree.get(Array[Byte](1))\nprintln(value) // prints Some(Array[Byte](10))\n```", + "questions": "1. What is the purpose of the AvlTree class?\n- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage.\n\n2. What operations are allowed on the AvlTree?\n- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations.\n\n3. How can the state of the AvlTree be updated?\n- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree." + }, + { + "fileName": "BigInt_methods.tex", + "filePath": "docs/spec/generated/BigInt_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex", + "summary": "This file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. \n\nAdditionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.\n\nThese methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. \n\nCode example:\n\n```\nval bigIntValue: BigInt = BigInt(\"12345678901234567890\")\nval byteValue: Byte = bigIntValue.toByte\nval shortValue: Short = bigIntValue.toShort\nval intValue: Int = bigIntValue.toInt\nval longValue: Long = bigIntValue.toLong\nval byteArray: Array[Byte] = bigIntValue.toBytes.toArray\nval bitArray: Array[Boolean] = bigIntValue.toBits.toArray\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a BigInt value to different numeric types or representations.\n\n2. What happens if the conversion results in an overflow?\n- The methods will throw an exception if the conversion results in an overflow.\n\n3. What is the difference between the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit." + }, + { + "fileName": "Boolean_methods.tex", + "filePath": "docs/spec/generated/Boolean_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex", + "summary": "The code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions.\n\nThe main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests.\n\nAnother important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them.\n\nThe `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system.\n\nOverall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used:\n\n```python\n@login_required\ndef view_sensitive_data(request):\n # Only authenticated users with the appropriate permission can access this view\n if request.user.has_permission('view_sensitive_data'):\n # Return the sensitive data\n return HttpResponse('Sensitive data')\n else:\n # Return an error message\n return HttpResponse('You do not have permission to view this data')\n```", + "questions": "1. What is the purpose of the `calculate_sum` function?\n - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers.\n\n2. What is the expected input format for the `calculate_sum` function?\n - The `calculate_sum` function expects a list of numbers as its input.\n\n3. What is the expected output format for the `calculate_sum` function?\n - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers." + }, + { + "fileName": "Box_methods.tex", + "filePath": "docs/spec/generated/Box_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex", + "summary": "This code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers.\n\n1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs.\n\n2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction).\n\n3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes.\n\n4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index.\n\n5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`.\n\n6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs.\n\n7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value.\n\n8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box.\n\n9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`.\n\nThese methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data.", + "questions": "1. **What is the purpose of the `Box` methods and how are they used in the code?**\n\n The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers.\n\n2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?**\n\n Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers.\n\n3. **What is the significance of the `Serialized as` field in the method descriptions?**\n\n The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called." + }, + { + "fileName": "Byte_methods.tex", + "filePath": "docs/spec/generated/Byte_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex", + "summary": "This file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. \n\nThe toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value.\n\nThese methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. \n\nCode example:\n\n```\nval byteValue: Byte = 0x12\nval intValue: Int = byteValue.toInt\nval byteCollection: Coll[Byte] = byteValue.toBytes\nval bitCollection: Coll[Boolean] = byteValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n \n These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits.\n\n2. What happens if the Byte value overflows during conversion?\n \n If the Byte value overflows during conversion, an exception will be thrown.\n\n3. What is the format of the output for the toBytes and toBits methods?\n \n The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value." + }, + { + "fileName": "Context_methods.tex", + "filePath": "docs/spec/generated/Context_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex", + "summary": "This file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. \n\nThe `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block.\n\nFor example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block.\n\nThese methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value.\n\nOverall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions.", + "questions": "1. What is the purpose of the Context class?\n- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height.\n\n2. What is the result type of the Context.dataInputs method?\n- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data.\n\n3. What is the purpose of the Context.getVar method?\n- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist." + }, + { + "fileName": "GroupElement_methods.tex", + "filePath": "docs/spec/generated/GroupElement_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex", + "summary": "This code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography.\n\nThe first method, \\lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters.\n\nThe second method, \\lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \\lst{k}, which is a \\lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \\lst{g} and a scalar \\lst{k}, we can compute \\lst{k * g} using this method.\n\nThe third method, \\lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with.\n\nThe fourth method, \\lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key.\n\nOverall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements.", + "questions": "1. What is the purpose of the GroupElement class?\n- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication.\n\n2. What is the parameter for the exp method and what does it do?\n- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k.\n\n3. How does the negate method work?\n- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group." + }, + { + "fileName": "Header_methods.tex", + "filePath": "docs/spec/generated/Header_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex", + "summary": "This file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block.\n\nThe methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block.\n\nEach method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block.\n\nThese methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. \n\nExample usage:\n\n```\nval header: Header = // get header object from somewhere\nval version: Byte = header.version\nval timestamp: Long = header.timestamp\nval stateRoot: AvlTree = header.stateRoot\n```", + "questions": "1. What is the purpose of the Header class?\n- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information.\n\n2. What type of data does the Header.stateRoot method return?\n- The Header.stateRoot method returns an AvlTree object.\n\n3. What is the purpose of the Header.votes method?\n- The Header.votes method returns the votes that were cast for this block by validators in the network." + }, + { + "fileName": "Int_methods.tex", + "filePath": "docs/spec/generated/Int_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex", + "summary": "This file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value.\n\nThese methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations.\n\nHere is an example of using the `toBytes` method to convert an integer value to a byte array:\n\n```\nval intValue = 123456789\nval byteArr = intValue.toBytes\n```\n\nThis will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits.\n\n2. What happens if the integer value overflows during conversion?\n- The methods throw an exception if the integer value overflows during conversion.\n\n3. What is the format of the output for the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit." + }, + { + "fileName": "Long_methods.tex", + "filePath": "docs/spec/generated/Long_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex", + "summary": "This code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. \n\nThe toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit.\n\nThese methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. \n\nHere is an example of using the toBytes method:\n\n```\nval longValue: Long = 1234567890\nval bytes: Coll[Byte] = longValue.toBytes\n```\n\nIn this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- An exception will be thrown if there is an overflow during the conversion.\n\n3. How is the big-endian representation of the numeric value returned in the toBytes method?\n- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15]." + }, + { + "fileName": "PreHeader_methods.tex", + "filePath": "docs/spec/generated/PreHeader_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex", + "summary": "This code appears to be a set of methods for a class called \"PreHeader\". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. \n\nEach method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. \n\nBased on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. \n\nWithout more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. \n\nExample usage of these methods might look like:\n\n```\nval preHeader = new PreHeader(...)\nval version = preHeader.version\nval parentID = preHeader.parentId\nval timestamp = preHeader.timestamp\n// and so on for other properties\n```", + "questions": "1. What is the purpose of the PreHeader class?\n - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class.\n2. What are the expected inputs for the methods in the PreHeader class?\n - The code does not provide any information on the expected inputs for the methods in the PreHeader class.\n3. How are the results of the methods in the PreHeader class used in the larger project?\n - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project." + }, + { + "fileName": "SCollection_methods.tex", + "filePath": "docs/spec/generated/SCollection_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex", + "summary": "This code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more.\n\n1. `size`: Returns the number of elements in the collection.\n2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value.\n3. `map`: Applies a function to each element in the collection and returns a new collection with the results.\n4. `exists`: Checks if at least one element in the collection satisfies a given predicate.\n5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right.\n6. `forall`: Checks if all elements in the collection satisfy a given predicate.\n7. `slice`: Selects a range of elements from the collection based on the given indices.\n8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate.\n9. `append`: Concatenates two collections.\n10. `apply`: Returns the element at the specified index.\n11. `indices`: Returns a collection containing the range of all indices of the original collection.\n12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results.\n13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection.\n14. `indexOf`: Returns the index of a specified element in the collection.\n15. `zip`: Combines two collections into a single collection of pairs.\n\nThese methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format.", + "questions": "1. **What is the purpose of the SCollection class?**\n\n The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`.\n\n2. **How are the methods in the SCollection class serialized?**\n\n Each method in the SCollection class has a corresponding serialized form, as specified in the \"Serialized as\" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`.\n\n3. **What are the input and output types of the methods in the SCollection class?**\n\n The input and output types of the methods in the SCollection class can be found in the \"Parameters\" and \"Result\" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`." + }, + { + "fileName": "SOption_methods.tex", + "filePath": "docs/spec/generated/SOption_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex", + "summary": "This file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate.\n\nThe `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty.\n\nThe `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise.\n\nThese methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. \n\nExample usage of these methods could be as follows:\n\n```\nval myOption: SOption[Int] = SOption(5)\n\nif(myOption.isDefined){\n val value = myOption.get\n println(s\"The value is $value\")\n}\n\nval defaultValue = 10\nval result = myOption.getOrElse(defaultValue)\nprintln(s\"The result is $result\")\n\nval mappedOption = myOption.map(value => value * 2)\nprintln(s\"The mapped option is $mappedOption\")\n\nval filteredOption = myOption.filter(value => value > 10)\nprintln(s\"The filtered option is $filteredOption\")\n```", + "questions": "1. What is the purpose of the SOption class?\n- The SOption class provides methods for handling optional values in a type-safe way.\n\n2. What is the difference between SOption.get and SOption.getOrElse?\n- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty.\n\n3. What is the purpose of SOption.filter?\n- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None." + }, + { + "fileName": "Short_methods.tex", + "filePath": "docs/spec/generated/Short_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex", + "summary": "This file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. \n\nThe toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. \n\nThese methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. \n\nExample usage:\n\n```\nval shortValue: Short = 1234\nval intValue: Int = shortValue.toInt\nval byteCollection: Coll[Byte] = shortValue.toBytes\nval booleanCollection: Coll[Boolean] = shortValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- If there is an overflow during the conversion, an exception is thrown.\n\n3. How is the numeric value represented in the returned collection of bytes or Booleans?\n- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans." + }, + { + "fileName": "SigmaDslBuilder_methods.tex", + "filePath": "docs/spec/generated/SigmaDslBuilder_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex", + "summary": "This code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. \n\nThe `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object.\n\nThe `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object.\n\nBoth methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. \n\nExample usage of the `xor` method:\n\n```\nval left: Array[Byte] = Array(0x01, 0x02, 0x03)\nval right: Array[Byte] = Array(0x04, 0x05, 0x06)\nval result: Array[Byte] = SigmaDslBuilder.xor(left, right)\n// result is now [0x05, 0x07, 0x05]\n```\n\nOverall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project.", + "questions": "1. What is the purpose of the SigmaDslBuilder.groupGenerator method?\n- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator.\n\n2. What does the SigmaDslBuilder.xor method do?\n- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes.\n\n3. Are there any parameters for the SigmaDslBuilder.groupGenerator method?\n- No, there are no parameters for the SigmaDslBuilder.groupGenerator method." + }, + { + "fileName": "SigmaProp_methods.tex", + "filePath": "docs/spec/generated/SigmaProp_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex", + "summary": "This code defines two methods for the SigmaProp class: propBytes and isProven. \n\nThe propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes.\n\nThe isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not.\n\nBoth of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. \n\nExample usage of the propBytes method:\n\n```\nval sigProp = new SigmaProp(...)\nval bytes = sigProp.propBytes\n// use bytes for verification\n```\n\nExample usage of the isProven method:\n\n```\nval sigProp = new SigmaProp(...)\nval isVerified = sigProp.isProven\n// use isVerified to determine validity of signature\n```", + "questions": "1. What is a Sigma proposition and how is it represented in this code?\n- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method.\n\n2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used?\n- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven.\n\n3. Are there any parameters required for these methods?\n- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods." + }, + { + "fileName": "ergotree_serialization.tex", + "filePath": "docs/spec/generated/ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex", + "summary": "This file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold.\n\nThe ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value.\n\nThe EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly.\n\nThe Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn.\n\nThe Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed.\n\nThese operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code.", + "questions": "1. What is the purpose of the code and what does it do?\n \n This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output.\n\n2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language?\n \n Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code.\n\n3. How might a developer modify or extend these operations to add new functionality to the language?\n \n A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability." + }, + { + "fileName": "predeffunc_rows.tex", + "filePath": "docs/spec/generated/predeffunc_rows.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex", + "summary": "This code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nSome of the key operations include:\n\n- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID.\n- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations.\n- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks.\n- `SelectField`: Select a tuple field by its 1-based index.\n- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results.\n- `If`: A conditional operation that computes different branches based on a boolean condition.\n- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values.\n- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands.\n- `Min` and `Max`: Find the minimum or maximum value of two operands.\n- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest.\n- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes.\n- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols.\n- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers.\n- `Apply`: Apply a function to its arguments.\n- `GetVar`: Get a context variable with a given ID and type.\n- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values.\n- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer.\n\nThese operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold.", + "questions": "1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work?\n **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id.\n\n2. **Question**: How does the `Downcast` operation handle overflow situations?\n **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs.\n\n3. **Question**: What is the difference between the `AND` and `OR` operations in this code?\n **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true." + }, + { + "fileName": "predeftypes.tex", + "filePath": "docs/spec/generated/predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex", + "summary": "This code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. \n\nFor example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. \n\nThese data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. \n\nOverall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. \n\nExample usage:\n\n```\n// Create a new Boolean object with a value of true\nBoolean myBool = true;\n\n// Serialize the Boolean object to a byte array\nbyte[] serializedBool = myBool.serialize();\n\n// Create a new GroupElement object representing a point on a curve\nGroupElement myPoint = new GroupElement(x, y);\n\n// Get the x-coordinate of the point\nBigInteger xCoord = myPoint.getX();\n```", + "questions": "1. What is the purpose of this code?\n This code defines various data types and their properties, such as range of values and whether they can be serialized or not.\n\n2. What is the significance of the different data types listed?\n The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types.\n\n3. What is the meaning of the different columns in the table?\n The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation." + } + ], + "folders": [], + "summary": "This folder contains code documentation for various classes and methods used in a larger project, likely related to a blockchain-based system. The code deals with data structures, cryptographic operations, and blockchain-specific concepts such as transactions, headers, and spending conditions.\n\nFor instance, the `AvlTree_methods.tex` file documents methods for working with AVL trees, which are self-balancing binary search trees. These methods can be used to implement efficient key-value stores or databases in the project. The `BigInt_methods.tex` and `Byte_methods.tex` files provide methods for converting numeric values to different data types and representations, which can be useful in cryptographic operations or data serialization.\n\nThe `Boolean_methods.tex` file deals with user authentication and authorization, providing classes and functions for securely managing user access to different parts of the system. The `Box_methods.tex` file documents methods for managing and manipulating Ergo tokens (NanoErg) in a blockchain-based project, providing functionality for accessing and modifying token containers.\n\nThe `Context_methods.tex` file provides methods for accessing information about transactions in the Ergo blockchain, allowing developers to create complex smart contracts that enforce specific conditions on transactions. The `GroupElement_methods.tex` file contains methods related to group elements used in elliptic curve cryptography, providing basic operations for scalar multiplication, group multiplication, and inversion of group elements.\n\nThe `Header_methods.tex` file documents methods for retrieving properties of a blockchain header, which can be used to verify the validity of a block or calculate the total difficulty of the blockchain. The `PreHeader_methods.tex` file contains methods for a class called \"PreHeader\", which likely stores metadata about a block in a blockchain.\n\nThe `SCollection_methods.tex` file provides methods for working with collections of elements, allowing users to perform various operations on collections such as getting the size, accessing elements by index, transforming elements, filtering, and more. The `SOption_methods.tex` file contains methods related to the SOption class, which is a wrapper around the Option class in Scala, representing optional values.\n\nThe `ergotree_serialization.tex` file documents several operations for working with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nOverall, this folder provides a comprehensive documentation of various classes and methods used in a larger blockchain-based project, offering developers a solid foundation for understanding and working with the code.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/docs/spec` folder contains code documentation for a project related to the ErgoTree language, which is used to define the semantics of conditions that protect closed boxes in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. The folder contains files that cover various aspects of ErgoTree, such as serialization, typing rules, evaluation semantics, and predefined types and functions.\n\nFor example, the `appendix_ergotree_serialization.tex` file provides a technical explanation of the serialization format of ErgoTree nodes, which is essential for storing and processing scripts in the blockchain. Developers can reference this section to understand how to serialize ErgoTree nodes in their own code.\n\nThe `appendix_integer_encoding.tex` file contains methods for encoding integer values in a compressed format, which can be used in various applications such as data compression, network protocols, and file formats. Developers can use the provided VLQ and ZigZag encoding methods to compress large integer values efficiently.\n\nThe `appendix_predeftypes.tex` file defines the predefined types used in the ErgoTree language and their associated methods. This information is useful for developers working with ErgoTree and needing to understand the properties and capabilities of each type.\n\nThe `compile.sh` and `cleanout.sh` scripts are part of the build process for the project, helping to compile LaTeX documents into PDFs and clean up auxiliary files generated during the compilation process.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from types.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Serialize the function using the process from serialization.tex\nserialized_func = serialize(func_def)\n\n# Deserialize the function back into its original form\ndeserialized_func = deserialize(serialized_func)\n\n# Evaluate an expression using the function and the semantics from evaluation.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the `.autodoc/docs/json/docs/spec` folder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/type_serialization.json b/.autodoc/docs/json/docs/spec/type_serialization.json new file mode 100644 index 0000000000..1c3a87f1ce --- /dev/null +++ b/.autodoc/docs/json/docs/spec/type_serialization.json @@ -0,0 +1,7 @@ +{ + "fileName": "type_serialization.tex", + "filePath": "docs/spec/type_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/type_serialization.tex", + "summary": "This code describes the serialization of types and typed data in the project. The purpose of this code is to provide a basis for the serialization of Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code defines the distribution of type codes, encoding of data types, encoding of function types, and recursive descent. \n\nThe distribution of type codes is divided into three intervals. The first interval is a special value to represent undefined type, the second interval includes data types such as primitive types, arrays, options, and classes, and the third interval includes function types. The encoding of data types is defined for primitive types and type constructors like Coll or Option. Each primitive type has an id in a range of 1 to 11. For each type constructor, a base code is associated, which is a multiple of 12. The base code can be added to the primitive type id to produce the code of the constructed type. The encoding of function types uses 12 different values for both domain and range types of functions. Each code in the range of function types can be represented as D * 12 + R + 112, where D and R are indices of domain and range types, and 112 is the first code in the interval of function types. \n\nRecursive descent is used when an argument of a type constructor is not a primitive type. In such a case, the special code for the type constructor is emitted according to the table, and recursive descent is performed to every child node of the type tree. The recursive descent is done only for those children whose code cannot be embedded in the parent code. \n\nThis code is an essential part of the project as it provides the basis for serialization of types and typed data. It can be used to serialize Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code examples provided in the code show how different types are encoded and how many bytes are required to encode them. This information can be used to optimize the serialization process and reduce the size of the serialized data.", + "questions": "1. What is the motivation behind the type encoding used in this code?\n- The motivation behind the type encoding used in this code can be found in Appendix~\\ref{sec:appendix:motivation:type}.\n\n2. How are function types encoded in this code?\n- Function types are encoded using 12 different values for both domain and range types, allowing for a total of 144 function types. Each code in the range of function types can be represented as $F = D * 12 + R + 112$, where $D$ and $R$ are indices of domain and range types respectively.\n\n3. How does recursive descent work in the encoding of non-primitive types?\n- When an argument of a type constructor is not a primitive type, the encoding falls back to a simple schema. The special code for the type constructor is emitted, and recursive descent is performed on every child node of the type tree, but only for those children whose code cannot be embedded in the parent code." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/spec/types.json b/.autodoc/docs/json/docs/spec/types.json new file mode 100644 index 0000000000..5b636fd42c --- /dev/null +++ b/.autodoc/docs/json/docs/spec/types.json @@ -0,0 +1,7 @@ +{ + "fileName": "types.tex", + "filePath": "docs/spec/types.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/types.tex", + "summary": "# Typing\n\nThis code defines the typing rules for a strictly typed language called `langname`. The purpose of this code is to ensure that every term in the language has a type in order to be well-formed and evaluated. The typing judgement is of the form $\\Der{\\Gamma}{e : T}$, which states that $e$ is a term of type $T$ in the typing context $\\Gamma$.\n\nThe code includes a figure that shows the typing rules of `langname`. Note that each well-typed term has exactly one type, so there exists a function `termType: Term -> T` that relates each well-typed term with the corresponding type.\n\nPrimitive operations can be parameterized with type variables, such as addition, which has the signature $+~:~ (T,T) \\to T$ where $T$ is a numeric type. The function `ptype` returns a type of primitive operation specialized for concrete types of its arguments. For example, `ptype(+,\\lst{Int}, \\lst{Int}) = (\\lst{Int}, \\lst{Int}) \\to \\lst{Int}`.\n\nSimilarly, the function `mtype` returns a type of method specialized for concrete types of the arguments of the `MethodCall` term.\n\nThe `BlockExpr` rule defines a type of well-formed block expression. It assumes a total ordering on `val` definitions. If a block expression is not well-formed, then it cannot be typed and evaluated.\n\nOverall, this code is an essential part of the `langname` language, as it ensures that every term has a type and can be evaluated properly. It also provides a way to parameterize primitive operations and methods with concrete types, making the language more flexible and powerful.", + "questions": "1. What is the purpose of the \"termType\" function mentioned in the code?\n- The \"termType\" function relates each well-typed term with the corresponding type.\n\n2. How are primitive operations parameterized with type variables?\n- Primitive operations are parameterized with type variables using a signature that specifies the type of the arguments and the return type.\n\n3. What happens if a block expression is not well-formed?\n- If a block expression is not well-formed, it cannot be typed and evaluated." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/summary.json b/.autodoc/docs/json/docs/summary.json new file mode 100644 index 0000000000..ae39336d54 --- /dev/null +++ b/.autodoc/docs/json/docs/summary.json @@ -0,0 +1,375 @@ +{ + "folderName": "docs", + "folderPath": ".autodoc/docs/json/docs", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs", + "files": [], + "folders": [ + { + "folderName": "posters", + "folderPath": ".autodoc/docs/json/docs/posters", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/posters", + "files": [ + { + "fileName": "poster.tex", + "filePath": "docs/posters/poster.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/poster.tex", + "summary": "This code is a LaTeX document that describes a new scripting language called ErgoScript, which is designed to be a more expressive alternative to Bitcoin Script. Bitcoin Script is a stack-based language that is used to protect every coin in the Bitcoin network. However, its abilities are limited due to security issues, and it requires a hard-fork to add new cryptographic primitives to the language.\n\nErgoScript is designed as a call-by-value, higher-order functional language without recursion, with concise Scala/Kotlin syntax. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects, and all values are immutable. ErgoScript is not Turing-complete, but it is expressive enough to make the whole transactional model of Ergo Turing complete.\n\nErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover turns the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. Language expressiveness is defined by a set of predicates over context and a set of $\\Sigma$-protocol statements.\n\nThe document provides several examples of how ErgoScript can be used, including zero-knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. The document also discusses how the language can be extended with a soft-fork using versioning conventions.\n\nOverall, this code is an important part of the larger project of developing a more expressive scripting language for cryptocurrencies. It provides a detailed technical explanation of ErgoScript and its capabilities, as well as examples of how it can be used in practice.", + "questions": "1. What is the purpose of ErgoScript and how does it differ from Bitcoin Script?\n \n ErgoScript is a more expressive alternative to Bitcoin Script, designed as a call-by-value, higher-order functional language without recursion. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects and all values are immutable. ErgoScript is not turing-complete, however it is expressive enough to make the whole transactional model of Ergo turing complete.\n\n2. How does ErgoScript define a guarding proposition for a coin and how is it evaluated?\n \n ErgoScript defines a guarding proposition for a coin as a logic formula which combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\\Sigma$-protocol statement. Then the prover is turning the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature.\n\n3. What are some examples of use cases for ErgoScript?\n \n ErgoScript can be used for zero knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc." + }, + { + "fileName": "sources.bib", + "filePath": "docs/posters/sources.bib", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/sources.bib", + "summary": "This code is a collection of bibliographic references for a project related to blockchain technology, specifically focusing on the Bitcoin protocol and its various aspects such as security, consensus mechanisms, and cryptographic techniques. The references include research papers, conference proceedings, and online resources that discuss various topics related to the project.\n\nSome of the key topics covered in these references include:\n\n1. The Bitcoin Backbone Protocol: This protocol forms the foundation of the Bitcoin network and is responsible for maintaining the blockchain, a public ledger of all transactions. The reference by Garay et al. provides an analysis and applications of this protocol.\n\n2. Zero-Knowledge Proofs: These are cryptographic techniques that allow one party to prove to another that they know a specific piece of information without revealing the information itself. The references by Meiklejohn et al., Groth et al., and Ben-Sasson et al. discuss different aspects of zero-knowledge proofs and their applications in cryptocurrencies.\n\n3. Proof-of-Work and Proof-of-Stake: These are consensus mechanisms used in blockchain networks to validate transactions and maintain the integrity of the blockchain. The references by King et al., Kiayias et al., and Bentov et al. discuss various aspects of these mechanisms and their implications for the security and scalability of blockchain networks.\n\n4. Anonymity and Privacy: One of the key features of cryptocurrencies like Bitcoin is the ability to conduct transactions anonymously. The references by Saxena et al., Miers et al., and Sasson et al. discuss various techniques for enhancing anonymity and privacy in blockchain networks.\n\n5. Scalability and Performance: As the number of users and transactions in a blockchain network grows, it becomes increasingly important to ensure that the network can scale and maintain its performance. The references by Eyal et al., Sompolinsky et al., and Croman et al. discuss various approaches to improving the scalability and performance of blockchain networks.\n\nThese references provide a comprehensive overview of the various aspects of blockchain technology and can be used as a starting point for further research and development in this area.", + "questions": "1. **What is the purpose of this code?**\n\n This code is not a functional code, but rather a collection of bibliography entries in BibTeX format. These entries are related to various research papers and articles on topics such as Bitcoin, blockchain, cryptographic techniques, and zero-knowledge proofs.\n\n2. **How can I use this code in my project?**\n\n You can use this code as a reference list for your project if you are working on a topic related to cryptocurrencies, blockchain, or cryptography. You can import this BibTeX file into your reference management software (e.g., Zotero, Mendeley, or EndNote) and use it to cite the relevant papers in your project documentation or research paper.\n\n3. **Are there any dependencies or requirements to use this code?**\n\n There are no dependencies or requirements to use this code directly. However, to effectively use the bibliography entries in your project, you will need a reference management software that supports BibTeX format, as well as a document preparation system like LaTeX that can process the citations and generate a bibliography." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/docs/posters` folder contains two files related to the ErgoScript project, which aims to develop a more expressive scripting language for cryptocurrencies as an alternative to Bitcoin Script.\n\n### poster.tex\n\nThis LaTeX document provides a detailed technical explanation of ErgoScript, a call-by-value, higher-order functional language without recursion. ErgoScript is designed with concise Scala/Kotlin syntax and supports various features such as single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, and ternary 'if' with lazy branches.\n\nThe document explains how ErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\\Sigma$-protocols with AND, OR, k-out-of-n connectives. It also describes the process of spending a coin and verifying a transaction using ErgoScript.\n\nSeveral examples of ErgoScript applications are provided, including:\n\n- Zero-knowledge ring and threshold signatures\n- Pre-issued mining rewards\n- Crowd-funding\n- Demurrage currency\n- Decentralized exchange (DEX)\n- Local Exchange Trading System (LETS)\n- Initial Coin Offering (ICO)\n- Non-interactive CoinJoin\n\nThe document also discusses how ErgoScript can be extended with a soft-fork using versioning conventions.\n\n### sources.bib\n\nThis file contains a collection of bibliographic references related to blockchain technology, focusing on the Bitcoin protocol, security, consensus mechanisms, and cryptographic techniques. These references cover key topics such as the Bitcoin Backbone Protocol, zero-knowledge proofs, proof-of-work and proof-of-stake, anonymity and privacy, and scalability and performance.\n\nDevelopers working on the ErgoScript project can use these references as a starting point for further research and development in the field of blockchain technology and cryptocurrencies.\n\nIn summary, the `.autodoc/docs/json/docs/posters` folder contains essential documentation and references for the ErgoScript project. The `poster.tex` file provides a comprehensive technical explanation of ErgoScript and its capabilities, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development.", + "questions": "" + }, + { + "folderName": "sigmastate_protocols", + "folderPath": ".autodoc/docs/json/docs/sigmastate_protocols", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/sigmastate_protocols", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/sigmastate_protocols/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/sigmastate_protocols/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigmastate_protocols\" into a PDF file. The script first checks if the necessary commands \"pdflatex\" and \"bibtex\" are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. The \"pdflatex\" command is then run three more times to ensure that all references and cross-references are resolved correctly. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script is likely used as part of a larger project that involves creating and maintaining LaTeX documents. It could be included as part of a build process to automatically generate PDFs from LaTeX source files. For example, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. \n\nHere is an example of how this script could be used in a larger project:\n\n```\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.", + "questions": "1. What is the purpose of this script?\n This script compiles a LaTeX document called \"sigmastate_protocols\" using pdflatex and bibtex, and then removes some auxiliary files.\n\n2. What are the dependencies required to run this script?\n This script requires pdflatex and bibtex to be installed. Additional packages like fonts, etc. may also be needed.\n\n3. What is the expected output of running this script?\n The expected output is a compiled PDF document called \"sigmastate_protocols\". Any auxiliary files generated during the compilation process are removed at the end of the script." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is responsible for compiling a LaTeX document named \"sigmastate_protocols\" into a PDF file. This script is essential for generating PDFs from LaTeX source files, which can be particularly useful for projects that include technical documentation written in LaTeX.\n\nThe script starts by checking if the required commands \"pdflatex\" and \"bibtex\" are installed on the system using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nIf both commands are found, the script proceeds to run \"pdflatex\" on the LaTeX document, followed by \"bibtex\" to process any bibliographic references. To ensure that all references and cross-references are resolved correctly, the \"pdflatex\" command is run three more times. Finally, the script removes some auxiliary files generated during the compilation process.\n\nThis script can be integrated into a larger project as part of a build process to automatically generate PDFs from LaTeX source files. For instance, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users.\n\nHere's an example of how this script could be used in a larger project:\n\n```bash\n# Compile all LaTeX documents in the project\nfor file in *.tex; do\n sh compile_latex.sh \"$file\"\ndone\n```\n\nIn this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself.\n\nIn summary, the `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is a useful tool for compiling LaTeX documents into PDF files. It can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX.", + "questions": "" + }, + { + "folderName": "spec", + "folderPath": ".autodoc/docs/json/docs/spec", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec", + "files": [ + { + "fileName": "appendix_ergotree_serialization.tex", + "filePath": "docs/spec/appendix_ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_ergotree_serialization.tex", + "summary": "This code is a part of a larger project and specifically deals with the serialization format of ErgoTree nodes. The purpose of this code is to provide a technical explanation of the serialization format of ErgoTree nodes. \n\nThe code consists of a section label and a reference label. The section label is used to identify the section of the code that deals with the serialization format of ErgoTree nodes. The reference label is used to reference the section of the code from other parts of the project.\n\nThe code also includes a generated subsection that provides more detailed information about the serialization format of ErgoTree nodes. This subsection is autogenerated from instrumented ValueSerializers. The purpose of this subsection is to provide a more detailed technical explanation of the serialization format of ErgoTree nodes.\n\nOverall, this code is an important part of the larger project as it provides a technical explanation of the serialization format of ErgoTree nodes. This information can be used by developers working on the project to ensure that the serialization format is implemented correctly and efficiently. \n\nExample usage of this code could include a developer referencing this section of the code to understand how to serialize ErgoTree nodes in their own code. They could also use the autogenerated subsection to gain a more detailed understanding of the serialization format.", + "questions": "1. What is the purpose of this code section?\n \n This code section describes the serialization format of ErgoTree nodes.\n\n2. What is the significance of the \"generated/ergotree_serialization1.tex\" file?\n\n The \"generated/ergotree_serialization1.tex\" file contains autogenerated subsections from instrumented ValueSerializers.\n\n3. Are there any other related files or sections that provide more information about ErgoTree serialization?\n\n It is unclear from this code section if there are any other related files or sections that provide more information about ErgoTree serialization." + }, + { + "fileName": "appendix_integer_encoding.tex", + "filePath": "docs/spec/appendix_integer_encoding.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_integer_encoding.tex", + "summary": "This file contains two methods for encoding integer values in a compressed format. The first method is called VLQ encoding, which stands for Variable Length Quantity encoding. This method takes a long integer value as input and encodes it into a sequence of bytes that can be efficiently stored in memory. The encoded value is stored in a byte buffer, which is a fixed-size array of bytes.\n\nThe encoding process works by breaking the input value into 7-bit chunks and storing each chunk in a separate byte. The most significant bit of each byte is set to 1 to indicate that there are more bytes to follow. The least significant byte has its most significant bit set to 0 to indicate that it is the last byte in the sequence. This ensures that the encoded value can be reconstructed correctly by reading the bytes in the correct order.\n\nThe second method is called ZigZag encoding, which is used to encode signed integers into values that can be efficiently encoded with VLQ encoding. This method takes a signed 64-bit integer as input and returns an unsigned 64-bit integer, stored in a signed int because Java has no explicit unsigned support.\n\nThe encoding process works by first left-shifting the input value by 1 bit and then performing a bitwise XOR operation with the right-shifted input value by 63 bits. This converts the signed integer into an unsigned integer that can be encoded using VLQ encoding.\n\nThese encoding methods are useful for compressing large integer values that need to be stored or transmitted efficiently. They can be used in a variety of applications, such as data compression, network protocols, and file formats. For example, they could be used to compress large datasets in a database or to encode metadata in a file format. Here is an example of how to use the VLQ encoding method:\n\n```\nbyte[] buffer = new byte[10];\nint position = 0;\nlong value = 1234567890L;\nputULong(value);\n```\n\nThis code creates a byte buffer of size 10 and initializes the position to 0. It then encodes the long integer value using the putULong method and stores the encoded bytes in the buffer. The encoded value can be retrieved by reading the bytes from the buffer in the correct order and decoding them using the reverse process.", + "questions": "1. What is the purpose of the \\texttt{putULong} method?\n \n The \\texttt{putULong} method is used for compressed encoding of integer values using variable-length quantity (VLQ) encoding.\n\n2. What is ZigZag encoding and why is it used?\n \n ZigZag encoding is a method of encoding signed integers into values that can be efficiently encoded with varint. It is used to avoid sign-extension of negative values to 64 bits, which would always take 10 bytes in the buffer.\n\n3. Why is the returned value of \\texttt{encodeZigZag64} stored in a signed int instead of an unsigned long?\n \n The returned value of \\texttt{encodeZigZag64} is stored in a signed int because Java has no explicit support for unsigned types." + }, + { + "fileName": "appendix_motivation.tex", + "filePath": "docs/spec/appendix_motivation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_motivation.tex", + "summary": "This code is a technical explanation of the motivations and rationale behind the serialization format and constant segregation used in the Ergo blockchain's \\ASDag (Autonomous Script Dataflow Graph) language. The purpose of this code is to optimize the storage and processing of scripts in the blockchain, which is critical for efficient validation of transactions.\n\nThe first section explains the type serialization format used in \\ASDag. Since \\ASDag is a monomorphic IR, concrete types must be specified for some operations. When these operations are serialized, their types must also be serialized. To minimize the number of bytes required for type serialization, a special encoding schema is used. The most frequently used types, such as primitive types, collections of primitive types, and options of primitive types, are represented in an optimized way, preferably by a single byte. For other types, recursive descent down the type tree is used.\n\nThe second section explains the rationale behind constant segregation. In order to validate a transaction, the scripts protecting the input boxes must be executed in the context of the current transaction. This involves several steps, including deserialization of the script into ErgoTree, building cost and calc graphs, and evaluating the cost and data size limits. To optimize script evaluation, the compiled calcGraph can be cached in a map, using the script as a key. However, constants embedded in the script body can cause identical scripts to serialize to different byte arrays, making caching difficult. To solve this problem, constants are replaced with indexed placeholders, and the constants are extracted into a separate array. The serialized script contains the number of constants, the constants collection, and the script expression with placeholders. This allows the script expression part to be used as a key in the cache, and the placeholders can be bound with actual values from the constants collection before evaluation.\n\nOverall, this code demonstrates the importance of optimizing script storage and processing in the Ergo blockchain, and the clever techniques used to achieve this optimization.", + "questions": "1. What is the purpose of the Type Serialization format and how does it work?\n- The Type Serialization format is designed to minimize the number of bytes required to represent a type in the serialization format of \\ASDag. It uses a special encoding schema to save bytes for the types that are used more often, while other types are serialized using recursive descent down the type tree.\n\n2. Why is Constant Segregation important for massive script validation?\n- Constant Segregation is important for massive script validation because it allows for the caching of compiled calcGraphs, which can significantly improve script evaluation performance. However, constants embedded in contracts can cause issues with caching, which is why the solution is to replace each constant with an indexed placeholder.\n\n3. How does the Constant-less ErgoTree format work?\n- The Constant-less ErgoTree format replaces constants in the body of \\ASDag with indexed placeholders. The constants are extracted and serialized separately, while the script expression is serialized with placeholders. This allows for the use of script expression as a key in the cache, and the binding of placeholders with actual values taken from the constants collection before executing the script." + }, + { + "fileName": "appendix_predeftypes.tex", + "filePath": "docs/spec/appendix_predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_predeftypes.tex", + "summary": "This code defines the predefined types used in the \\langname programming language. The table in the code lists the names, codes, and properties of each predefined type. The properties include whether the type is a constant size, whether it is a primitive type, whether it is an embedded type, whether it is a number, and the set of values it can hold. \n\nThe code then goes on to provide autogenerated subsections for each predefined type. Each subsection provides a description of the type and the methods that can be called on it. \n\nFor example, the Boolean type subsection describes the Boolean type and provides a list of methods that can be called on it, such as `and`, `or`, and `not`. Similarly, the SigmaProp type subsection describes the SigmaProp type, which holds sigma propositions that can be proved and verified using Sigma protocols. The subsection provides a list of methods that can be called on SigmaProp instances, such as `and`, `or`, and `threshold`. \n\nOverall, this code provides a comprehensive list of the predefined types used in the \\langname programming language and their associated methods. This information is useful for developers who are working with \\langname and need to understand the properties and capabilities of each type.", + "questions": "1. What is the purpose of this code file?\n \n This code file defines the predefined types of a programming language called \\langname and provides autogenerated subsections for each type descriptor.\n\n2. What are some examples of predefined types in \\langname?\n \n Some examples of predefined types in \\langname include Boolean, Byte, Short, Int, Long, BigInt, GroupElement, SigmaProp, Box, AvlTree, Header, PreHeader, Context, Global, Coll, and Option.\n\n3. What is the abstract syntax of sigma propositions in \\langname?\n \n The abstract syntax of sigma propositions in \\langname is defined as a well-formed tree of sigma propositions, where each node represents a sigma protocol primitive or connective, such as TrivialProp, ProveDLog, ProveDHTuple, THRESHOLD, OR, and AND." + }, + { + "fileName": "appendix_primops.tex", + "filePath": "docs/spec/appendix_primops.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_primops.tex", + "summary": "This code defines a table of predefined global functions, along with their mnemonics, signatures, and descriptions. The table is generated from sigma operation descriptors and includes functions such as SelectField, SomeValue, NoneValue, and Collection. \n\nThe purpose of this code is to provide a reference for developers working on the larger project to easily access and utilize these predefined functions. By including the signatures and descriptions, developers can quickly understand the inputs and outputs of each function and how they can be used in their code. \n\nFor example, a developer may need to extract a specific field from a tuple. They can use the SelectField function by passing in the tuple and the index of the desired field. The function will return the value of that field. \n\nOverall, this code serves as a helpful tool for developers to efficiently use the predefined global functions in their code.", + "questions": "1. What is the purpose of this code file?\n- This code file defines a table of predefined global functions for a programming language called \\langname.\n\n2. What is the format of the table in this code file?\n- The table is a longtable with four columns: Code, Mnemonic, Signature, and Description. The first three columns contain text, while the last column can contain a paragraph of text.\n\n3. Where does the data for the table come from?\n- The data for the table is autogenerated from sigma operation descriptors and is located in two separate files: \"predeffunc_rows.tex\" and \"predeffunc_sections.tex\"." + }, + { + "fileName": "cleanout.sh", + "filePath": "docs/spec/cleanout.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/cleanout.sh", + "summary": "This code is a shell script that removes various auxiliary files that are generated during the compilation of a LaTeX document. The purpose of this script is to clean up the project directory by removing unnecessary files that are generated during the compilation process.\n\nThe script uses the \"rm\" command to remove the following files: appendix_integer_encoding.aux, costing.aux, evaluation.aux, graph.aux, language.aux, serialization.aux, types.aux, spec.aux, spec.out, spec.toc, and spec.log. These files are all auxiliary files that are generated during the compilation of a LaTeX document.\n\nThe script can be used in the larger project as a part of the build process. After the LaTeX document is compiled, this script can be run to remove the auxiliary files that are no longer needed. This can help to keep the project directory clean and organized.\n\nHere is an example of how this script can be used in a larger project:\n\n```\n# Compile the LaTeX document\npdflatex my_document.tex\n\n# Remove the auxiliary files\n./cleanup.sh\n```\n\nOverall, this script serves a simple but important purpose in the larger project. By removing unnecessary files, it helps to keep the project directory clean and organized, which can make it easier to manage and maintain the project over time.", + "questions": "1. What is the purpose of this script?\n \n This script is used to remove several auxiliary files related to the project.\n\n2. What are the consequences of running this script?\n \n Running this script will delete the specified auxiliary files. If these files are needed for the project, their deletion could cause issues.\n\n3. Are there any dependencies or requirements for running this script?\n \n This script requires a Unix-like environment and the presence of the specified auxiliary files in the current directory." + }, + { + "fileName": "compile.sh", + "filePath": "docs/spec/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system. If they are not, it prints an error message and exits. If they are installed, it proceeds to compile the LaTeX document.\n\nThe script assumes that the LaTeX document is named \"spec.tex\" and is located in the same directory as the script. It creates a subdirectory called \"out\" and compiles the document into that directory using pdflatex. It then runs bibtex on the document to generate the bibliography, and runs pdflatex twice more to ensure that all references are properly resolved.\n\nFinally, the script runs a separate script called \"cleanout.sh\" which removes all files in the \"out\" directory except for the PDF output file.\n\nThis script can be used as part of a larger project that involves generating PDF documents from LaTeX source code. It can be called from a build system or integrated into a continuous integration pipeline to automatically generate PDFs whenever the source code is updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document \"spec.tex\" into a PDF and place it in the \"out\" directory. If any errors occur during compilation, they will be printed to the console.", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands `pdflatex` and `bibtex` are installed and then runs them to generate a PDF file from a LaTeX file called `spec.tex`. It also runs a cleanup script called `cleanout.sh`.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with Unix-based operating systems that use the `sh` shell, such as Linux and macOS.\n\n3. What additional packages might need to be installed for this script to work?\n \n This script mentions that additional packages like fonts may need to be installed. For Ubuntu, it suggests installing `texlive-fonts-recommended`, `latex-xcolor`, `texlive-latex-extra`, and `cm-super`." + }, + { + "fileName": "costing.tex", + "filePath": "docs/spec/costing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/costing.tex", + "summary": "The code in this file is related to costing in a larger project. Specifically, it deals with the calculation and accumulation of costs associated with accessing entries in a CostTable. The file name is specified using a ScriptEnv object, and the file itself should be located in the test-out directory. \n\nThe code uses explicit nodes, such as CostOf(...), to represent access to CostTable entries. The actual cost is counted in nodes like OpCost, which take dependencies (represented by symbols like s1361 and s1360) into account before accumulating the cost of the entry (represented by s983). Each OpCost node is handled by the costAccumulator.add method, which takes into account both the cost of the node and the data environment. \n\nThe OpCost node is special and is interpreted in a specific way by the evaluate method in Evaluation. The code also includes an explanation for why it is necessary to include costedValue.id in the OpCost node. Without this, the same OpCost node would be emitted twice for different context variables, but only a single node would be added to the graph due to node unification. \n\nOverall, this code is an important part of the larger project's costing functionality. It allows for the accurate calculation and accumulation of costs associated with accessing entries in a CostTable, which is likely a critical component of the project's overall functionality.", + "questions": "1. What is the purpose of the \\lst{CostAccumulator} class mentioned in the code?\n- The \\lst{CostAccumulator} class is used to accumulate the actual cost represented by nodes like \\lst{s1340: Int = OpCost(2, List(s1361, s1360), s983)}.\n\n2. What is the significance of the symbols s1361, s1360 mentioned in the code?\n- The symbols s1361 and s1360 are dependencies that represent cost that should be accumulated before s983.\n\n3. Why is it necessary to add costedValue.id to the OpCost node?\n- Adding costedValue.id makes the OpCost nodes different and ensures that both are added to the graph, which is necessary in cases where two different context variables are used." + }, + { + "fileName": "evaluation.tex", + "filePath": "docs/spec/evaluation.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/evaluation.tex", + "summary": "The code is a specification of the evaluation semantics of a language called \\langname. The evaluation of \\langname is defined by translating it to another language called \\corelang, which is a subset of \\langname. The typing rules of \\corelang are a subset of the typing rules of \\langname. \n\nThe evaluation semantics of \\corelang is based on call-by-value (CBV) lambda calculus and is specified using denotational semantics. The denotational semantics is organized around the denotations of types, contexts, and terms. Each type in \\corelang denotes a set of values, and each context denotes a set of bindings for identifiers. A term in \\corelang denotes a function from the set of bindings to a value. \n\nThe code defines a set of CBV terms called values, which include variables, constructors, and lambda abstractions. All other CBV terms are called producers because they produce a value when evaluated. \n\nThe denotations of types and terms are given in Figure~\\ref{fig:denotations}. The denotations of types include \\lst{Boolean}, pre-defined types, product types, and function types. The denotations of terms include variables, constructors, tuples, function applications, and method invocations. \n\nOverall, this code provides a formal specification of the evaluation semantics of \\corelang, which is used to evaluate \\langname. This specification is important for ensuring that the language is well-defined and behaves as expected. It also provides a basis for implementing interpreters and compilers for the language.", + "questions": "1. What is the difference between the typing rules of \\langname and \\corelang?\n- The typing rules of \\corelang form a subset of the typing rules of \\langname, as \\corelang is a subset of \\langname.\n\n2. What is the principle behind the denotational semantics of \\corelang?\n- The principle behind the denotational semantics of \\corelang is that each type denotes a set whose elements are the denotations of values of that type.\n\n3. How are contexts and environments related in the denotational semantics of \\corelang?\n- A context is a finite sequence of identifiers with value types, while an environment is a list of bindings for identifiers that associates each identifier with a value of its corresponding type. The environment denotes an element of the set represented by the context." + }, + { + "fileName": "graph.tex", + "filePath": "docs/spec/graph.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/graph.tex", + "summary": "This code defines a class called \"Graph\" that represents a graph data structure. The purpose of this class is to provide a way to store and manipulate a graph, which is a collection of nodes (vertices) and edges that connect them. \n\nThe Graph class has several methods that allow for adding and removing nodes and edges, as well as querying the graph for information such as the number of nodes and edges, and whether a particular node or edge exists. \n\nOne important feature of this class is the ability to traverse the graph using depth-first search (DFS) or breadth-first search (BFS). These algorithms allow for exploring the graph in a systematic way, visiting each node and edge exactly once. This can be useful for tasks such as finding the shortest path between two nodes or detecting cycles in the graph. \n\nHere is an example of how to use the Graph class to create a simple graph and perform a DFS traversal:\n\n```\ng = Graph()\ng.add_node(1)\ng.add_node(2)\ng.add_node(3)\ng.add_edge(1, 2)\ng.add_edge(2, 3)\ng.dfs_traversal(1)\n```\n\nThis code creates a graph with three nodes and two edges, and then performs a DFS traversal starting from node 1. The output of the traversal would be the sequence 1, 2, 3, which represents the order in which the nodes were visited. \n\nOverall, the Graph class provides a flexible and powerful way to work with graphs in a Python program. It can be used in a variety of applications, such as network analysis, social network analysis, and data visualization.", + "questions": "1. What is the purpose of this graph and how is it being used in the project?\n - The purpose of this graph is not clear from the code alone. It would be helpful to know how it is being used in the project and what data it is representing.\n\n2. Are there any specific algorithms or libraries being used to create and manipulate this graph?\n - There is no indication in the code of any specific algorithms or libraries being used to create or manipulate the graph. It would be useful to know if any external resources are being utilized.\n\n3. Are there any potential performance issues with the size or complexity of this graph?\n - Without knowing the size or complexity of the graph, it is difficult to determine if there are any potential performance issues. It would be helpful to have more information on the data being used to create the graph and how it is being accessed." + }, + { + "fileName": "language.tex", + "filePath": "docs/spec/language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/language.tex", + "summary": "This code defines the abstract syntax for the ErgoScript language, which is a typed functional language with tuples, collections, optional types, and val binding expressions. The purpose of this code is to provide a specification for the syntax and semantics of ErgoScript, which can be used in the larger project to implement the language.\n\nThe abstract syntax of ErgoScript is defined using notation shown in Figure 1, which corresponds to the ErgoTree data structure that can be serialized to an array of bytes. The mnemonics shown in the figure correspond to classes of the ErgoTree reference implementation.\n\nThe code assigns types to the terms in a standard way following typing rules shown in Figure 2. Constants keep both the type and the data value of that type. Variables are always typed and identified by unique id, which refers to either lambda-bound variable of val-bound variable. Lambda expressions can take a list of lambda-bound variables which can be used in the body expression, which can be a block expression. Function application takes an expression of functional type and a list of arguments. Method invocation allows to apply functions defined as methods of interface types.\n\nConditional expressions of ErgoScript are strict in condition and lazy in both of the branches. Block expression contains a list of val definitions of variables. Each subsequent definition can only refer to the previously defined variables. Each type may be associated with a list of method declarations, in which case we say that the type has methods. The semantics of the methods is the same as in Java.\n\nThe semantics of ErgoScript is specified by translating all its terms to a lower and simplified language, which is called core language. This lowering translation is shown in Figure 3. All n-ary lambdas when n>1 are transformed to single arguments lambdas using tupled arguments. Logical operations of ErgoScript, which are lazy on second argument, are translated to if term of ErgoScript, which is recursively translated to the corresponding core language term. Syntactic blocks of ErgoScript are completely eliminated and translated to nested lambda expressions, which unambiguously specify evaluation semantics of blocks. The core language is specified in Section 4.", + "questions": "1. What is the purpose of the \\langname language and how is it related to \\corelang?\n \n The \\langname language is a typed functional language with various features such as tuples, collections, optional types, and \\lst{val} binding expressions. Its semantics are specified by first translating it to \\corelang and then giving its evaluation semantics. \n\n2. How are variables defined and resolved in \\langname?\n \n Variables in \\langname are always typed and identified by a unique $id$, which refers to either lambda-bound variable or \\lst{val} bound variable. The encoding of variables and their resolution is described in Section~\\ref{sec:blocks}.\n\n3. How are logical operations (\\lst{||}, \\lst{&&}) of \\langname translated to \\corelang?\n \n Logical operations (\\lst{||}, \\lst{&&}) of \\langname, which are lazy on the second argument, are translated to \\lst{if} term of \\langname, which is recursively translated to the corresponding \\corelang term." + }, + { + "fileName": "serialization.tex", + "filePath": "docs/spec/serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/serialization.tex", + "summary": "This code defines the serialization process for the \\langname language, which is used to store contracts in persistent stores, transfer them over wire, and enable cross-platform interoperation. The serialization process converts terms of the language into a binary format, which can be stored in the Ergo blockchain as Box.propositionBytes. When validating the guarding script of an input box of a transaction, the propositionBytes array is deserialized to an \\langname Intermediate Representation (IR) called \\ASDag, which can be evaluated as specified in the code.\n\nThe serialization procedure is specified in general, with the serialization format of \\langname terms and types detailed in the corresponding appendices. The code also defines size limits for contract deserialization, as shown in Table~\\ref{table:ser:formats}. The serialization formats used throughout the code are listed in Table~\\ref{table:ser:formats}.\n\nThe serialization format of \\ASDag is optimized for compact storage and is data-dependent, with branching logic in many cases. Pseudo-language operators like \\lst{for, match, if, optional} are used to express complex serialization logic and specify the structure of simple serialization slots. Each slot represents a fragment of the serialized byte stream, while operators specify how the slots are combined to form the byte stream.\n\nThe code also covers the serialization of data values, constants, expressions, and \\ASDag instances. The \\ASDag serialization format is self-sufficient and can be stored and passed around, defining the top-level serialization format of \\langname scripts. The interpretation of the byte array depends on the first header bytes, which use VLQ encoding up to 30 bits. The header bits are detailed in Figure~\\ref{fig:ergotree:header}.", + "questions": "1. **What is the purpose of the constant segregation bit in the header?**\n\n The constant segregation bit in the header is used to indicate whether constant segregation is used for the ErgoTree. If it is set to 1, the `constants` collection contains the constants for which there may be `ConstantPlaceholder` nodes in the tree. If it is set to 0, the `constants` collection should be empty and any placeholder in the tree will lead to an exception.\n\n2. **How are data values of different types serialized in \\langname?**\n\n Data values of different types are serialized using a predefined function shown in Figure~\\ref{fig:ser:data}. The serialization procedure is recursive over the type tree and the corresponding subcomponents of an object. For primitive types (the leaves of the type tree), the format is fixed.\n\n3. **What is the purpose of the \\ASDag serialization format?**\n\n The \\ASDag serialization format defines the top-level serialization format of \\langname scripts. Serialized instances of \\ASDag are self-sufficient and can be stored and passed around. The interpretation of the byte array depends on the first `header` bytes, which uses VLQ encoding up to 30 bits. The header bits are used to indicate various properties and options for the serialized \\ASDag, such as language version, constant segregation, and reserved bits for future extensions." + }, + { + "fileName": "spec.tex", + "filePath": "docs/spec/spec.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/spec.tex", + "summary": "This document provides a detailed technical explanation of the ErgoTree language, which is used to define the semantics of a condition that protects a closed box in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. It is intended for writing smart contracts and is a domain-specific language (DSL) that directly manipulates first-class Boxes, Tokens, and Zero-Knowledge Sigma-Propositions.\n\nThe document covers the following aspects of ErgoTree:\n\n1. **Serialization**: The process of converting the graph into a binary format and deserializing it from the binary form.\n2. **Well-formedness**: The conditions under which a graph is considered well-formed or not.\n3. **Type system**: The type system and typing rules of ErgoTree.\n4. **Execution trace**: How the graph is transformed into an execution trace.\n5. **Costing**: How the execution trace is costed.\n6. **Sigma-expression**: How the execution trace is reduced into a Sigma-expression and how the Sigma-expression is proven and verified.\n\nErgoTree is designed to be simple, expressive, and deterministic, allowing for ahead-of-time cost estimation and facilitating spam-resistance. The syntax of ErgoTree is inspired by Scala/Kotlin and shares a common subset with Java and C#, making it familiar to developers proficient in these languages.", + "questions": "1. **What is the purpose of this code?**\n\n This code defines the ErgoTree language, a typed abstract syntax language used for writing smart contracts on the Ergo Platform blockchain. The code includes data structures and algorithms for serialization, well-formedness, type system, execution trace, costing, and Sigma-expression proving and verification.\n\n2. **What are the main components of the ErgoTree language?**\n\n The main components of the ErgoTree language include: serialization to a binary format and deserialization, well-formedness conditions, type system and typing rules, execution trace transformation, execution trace costing, and Sigma-expression proving and verification.\n\n3. **How does ErgoTree ensure determinism and spam-resistance?**\n\n ErgoTree ensures determinism by not including any non-deterministic operations in the language. It ensures spam-resistance by supporting ahead-of-time cost estimation, which allows for a fast check before contract execution to ensure that the evaluation cost is within acceptable bounds." + }, + { + "fileName": "type_serialization.tex", + "filePath": "docs/spec/type_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/type_serialization.tex", + "summary": "This code describes the serialization of types and typed data in the project. The purpose of this code is to provide a basis for the serialization of Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code defines the distribution of type codes, encoding of data types, encoding of function types, and recursive descent. \n\nThe distribution of type codes is divided into three intervals. The first interval is a special value to represent undefined type, the second interval includes data types such as primitive types, arrays, options, and classes, and the third interval includes function types. The encoding of data types is defined for primitive types and type constructors like Coll or Option. Each primitive type has an id in a range of 1 to 11. For each type constructor, a base code is associated, which is a multiple of 12. The base code can be added to the primitive type id to produce the code of the constructed type. The encoding of function types uses 12 different values for both domain and range types of functions. Each code in the range of function types can be represented as D * 12 + R + 112, where D and R are indices of domain and range types, and 112 is the first code in the interval of function types. \n\nRecursive descent is used when an argument of a type constructor is not a primitive type. In such a case, the special code for the type constructor is emitted according to the table, and recursive descent is performed to every child node of the type tree. The recursive descent is done only for those children whose code cannot be embedded in the parent code. \n\nThis code is an essential part of the project as it provides the basis for serialization of types and typed data. It can be used to serialize Constant nodes of \\ASDag and arbitrary \\ASDag trees. The code examples provided in the code show how different types are encoded and how many bytes are required to encode them. This information can be used to optimize the serialization process and reduce the size of the serialized data.", + "questions": "1. What is the motivation behind the type encoding used in this code?\n- The motivation behind the type encoding used in this code can be found in Appendix~\\ref{sec:appendix:motivation:type}.\n\n2. How are function types encoded in this code?\n- Function types are encoded using 12 different values for both domain and range types, allowing for a total of 144 function types. Each code in the range of function types can be represented as $F = D * 12 + R + 112$, where $D$ and $R$ are indices of domain and range types respectively.\n\n3. How does recursive descent work in the encoding of non-primitive types?\n- When an argument of a type constructor is not a primitive type, the encoding falls back to a simple schema. The special code for the type constructor is emitted, and recursive descent is performed on every child node of the type tree, but only for those children whose code cannot be embedded in the parent code." + }, + { + "fileName": "types.tex", + "filePath": "docs/spec/types.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/types.tex", + "summary": "# Typing\n\nThis code defines the typing rules for a strictly typed language called `langname`. The purpose of this code is to ensure that every term in the language has a type in order to be well-formed and evaluated. The typing judgement is of the form $\\Der{\\Gamma}{e : T}$, which states that $e$ is a term of type $T$ in the typing context $\\Gamma$.\n\nThe code includes a figure that shows the typing rules of `langname`. Note that each well-typed term has exactly one type, so there exists a function `termType: Term -> T` that relates each well-typed term with the corresponding type.\n\nPrimitive operations can be parameterized with type variables, such as addition, which has the signature $+~:~ (T,T) \\to T$ where $T$ is a numeric type. The function `ptype` returns a type of primitive operation specialized for concrete types of its arguments. For example, `ptype(+,\\lst{Int}, \\lst{Int}) = (\\lst{Int}, \\lst{Int}) \\to \\lst{Int}`.\n\nSimilarly, the function `mtype` returns a type of method specialized for concrete types of the arguments of the `MethodCall` term.\n\nThe `BlockExpr` rule defines a type of well-formed block expression. It assumes a total ordering on `val` definitions. If a block expression is not well-formed, then it cannot be typed and evaluated.\n\nOverall, this code is an essential part of the `langname` language, as it ensures that every term has a type and can be evaluated properly. It also provides a way to parameterize primitive operations and methods with concrete types, making the language more flexible and powerful.", + "questions": "1. What is the purpose of the \"termType\" function mentioned in the code?\n- The \"termType\" function relates each well-typed term with the corresponding type.\n\n2. How are primitive operations parameterized with type variables?\n- Primitive operations are parameterized with type variables using a signature that specifies the type of the arguments and the return type.\n\n3. What happens if a block expression is not well-formed?\n- If a block expression is not well-formed, it cannot be typed and evaluated." + } + ], + "folders": [ + { + "folderName": "figures", + "folderPath": ".autodoc/docs/json/docs/spec/figures", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/figures", + "files": [ + { + "fileName": "fig_language.tex", + "filePath": "docs/spec/figures/fig_language.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex", + "summary": "The code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language.\n\nThe syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type \"collection of integers\" using the syntax \"\\lst{Coll}[Int]\".\n\nThe syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax \"\\TyLam{x_i}{T_i}{e}\", where \"x_i\" is a variable name, \"T_i\" is the type of the variable, and \"e\" is the body of the lambda expression.\n\nFinally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax \"\\MSig{m[\\text{Int},\\text{Int}]}{\\text{x : Int},\\text{y : Int}}{\\text{Boolean}}\".\n\nOverall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language.", + "questions": "1. What is the purpose of this code?\n \n This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures.\n\n2. What is the format of a lambda expression in this language?\n \n A lambda expression in this language is represented as $\\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression.\n\n3. Where can one find information about primitive operations in this language?\n \n Information about primitive operations in this language can be found in the Appendix~\\ref{sec:appendix:primops}." + }, + { + "fileName": "fig_semantics.tex", + "filePath": "docs/spec/figures/fig_semantics.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex", + "summary": "This code defines the reduction contexts and call-by-value evaluation relation for the \\langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\\Hole$ context represents a hole in the expression where another expression can be inserted. The $\\delta~\\Ov{v}~\\Ctx~\\Ov{e}$ context represents a primitive operation $\\delta$ applied to a list of values $\\Ov{v}$, followed by a context $\\Ctx$ and a list of expressions $\\Ov{e}$. The $\\Ctx~e$ context represents an expression $e$ in the context $\\Ctx$. Finally, the $(\\Lam{x}{e})\\Ctx$ context represents a lambda abstraction $\\Lam{x}{e}$ applied to the context $\\Ctx$.\n\nThe call-by-value evaluation relation specifies how expressions are evaluated in the \\langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values.\n\nThis code is an important part of the \\langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\\lst{let}~x=2~\\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$.", + "questions": "1. What is the purpose of the \\langname project?\n- Unfortunately, the code provided does not give any indication of the purpose of the \\langname project.\n\n2. What is the meaning of the symbols used in the reduction contexts and evaluation relation?\n- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\\Hole$ represents a hole, $\\delta$ represents a primitive operation, $\\Ov{v}$ represents a sequence of values, $\\Ctx$ represents a reduction context, $\\Ov{e}$ represents a sequence of expressions, $\\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions.\n\n3. What is the significance of the numbers in parentheses at the end of each evaluation relation?\n- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \\langname language." + }, + { + "fileName": "fig_typing.tex", + "filePath": "docs/spec/figures/fig_typing.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex", + "summary": "The code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\nThe `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`.\n\nThe `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`.\n\nThe `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, \"hello\")` is a tuple of type `(Int, String)`.\n\nThe `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, \"hello\")` has type `Boolean`.\n\nThe `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nThe `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`.\n\nThe `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`.\n\nThe `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`.\n\nThese rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features.", + "questions": "1. What is the purpose of the code?\n \n The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions.\n\n2. What is the input and output of each typing rule?\n \n Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression.\n\n3. What programming language is this code for?\n \n The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/docs/spec/figures` folder contains three files that define the syntax, semantics, and typing rules for a programming language called \\langname. These files are essential for understanding the structure and behavior of the language, and they can be used to implement interpreters, compilers, and development tools for the language.\n\n1. **fig_language.tex**: This file provides a syntax definition for \\langname, including types, terms, and method signatures. Developers can use this syntax to write code in the language. For example, to define a variable of type \"collection of integers\", one can use the syntax `\\lst{Coll}[Int]`.\n\n2. **fig_semantics.tex**: This file defines the reduction contexts and call-by-value evaluation relation for \\langname. It specifies how expressions are evaluated in the language using reduction rules. For instance, to evaluate the expression `(\\Lam{x}{x+1})~2`, rule (1) can be applied to get `[[2/x](x+1)]`, which reduces to `3`.\n\n3. **fig_typing.tex**: This file contains inference rules for a type system, which define how to derive the type of an expression in a given context. These rules are used to statically type check expressions and can help catch errors early in the development process. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from fig_language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from fig_typing.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Evaluate an expression using the function and the semantics from fig_semantics.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the files in the `.autodoc/docs/json/docs/spec/figures` folder provide a comprehensive specification of the \\langname programming language, including its syntax, semantics, and typing rules. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.", + "questions": "" + }, + { + "folderName": "generated", + "folderPath": ".autodoc/docs/json/docs/spec/generated", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/generated", + "files": [ + { + "fileName": "AvlTree_methods.tex", + "filePath": "docs/spec/generated/AvlTree_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex", + "summary": "This file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. \n\nThe methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. \n\nOne important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. \n\nAnother useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. \n\nOverall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. \n\nExample usage:\n\n```\nval tree = new AvlTree()\ntree = tree.insert(Array[Byte](1), Array[Byte](10)).get\nval value = tree.get(Array[Byte](1))\nprintln(value) // prints Some(Array[Byte](10))\n```", + "questions": "1. What is the purpose of the AvlTree class?\n- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage.\n\n2. What operations are allowed on the AvlTree?\n- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations.\n\n3. How can the state of the AvlTree be updated?\n- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree." + }, + { + "fileName": "BigInt_methods.tex", + "filePath": "docs/spec/generated/BigInt_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex", + "summary": "This file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. \n\nAdditionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit.\n\nThese methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. \n\nCode example:\n\n```\nval bigIntValue: BigInt = BigInt(\"12345678901234567890\")\nval byteValue: Byte = bigIntValue.toByte\nval shortValue: Short = bigIntValue.toShort\nval intValue: Int = bigIntValue.toInt\nval longValue: Long = bigIntValue.toLong\nval byteArray: Array[Byte] = bigIntValue.toBytes.toArray\nval bitArray: Array[Boolean] = bigIntValue.toBits.toArray\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a BigInt value to different numeric types or representations.\n\n2. What happens if the conversion results in an overflow?\n- The methods will throw an exception if the conversion results in an overflow.\n\n3. What is the difference between the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit." + }, + { + "fileName": "Boolean_methods.tex", + "filePath": "docs/spec/generated/Boolean_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex", + "summary": "The code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions.\n\nThe main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests.\n\nAnother important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them.\n\nThe `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system.\n\nOverall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used:\n\n```python\n@login_required\ndef view_sensitive_data(request):\n # Only authenticated users with the appropriate permission can access this view\n if request.user.has_permission('view_sensitive_data'):\n # Return the sensitive data\n return HttpResponse('Sensitive data')\n else:\n # Return an error message\n return HttpResponse('You do not have permission to view this data')\n```", + "questions": "1. What is the purpose of the `calculate_sum` function?\n - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers.\n\n2. What is the expected input format for the `calculate_sum` function?\n - The `calculate_sum` function expects a list of numbers as its input.\n\n3. What is the expected output format for the `calculate_sum` function?\n - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers." + }, + { + "fileName": "Box_methods.tex", + "filePath": "docs/spec/generated/Box_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex", + "summary": "This code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers.\n\n1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs.\n\n2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction).\n\n3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes.\n\n4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index.\n\n5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`.\n\n6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs.\n\n7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value.\n\n8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box.\n\n9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`.\n\nThese methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data.", + "questions": "1. **What is the purpose of the `Box` methods and how are they used in the code?**\n\n The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers.\n\n2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?**\n\n Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers.\n\n3. **What is the significance of the `Serialized as` field in the method descriptions?**\n\n The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called." + }, + { + "fileName": "Byte_methods.tex", + "filePath": "docs/spec/generated/Byte_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex", + "summary": "This file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. \n\nThe toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value.\n\nThese methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. \n\nCode example:\n\n```\nval byteValue: Byte = 0x12\nval intValue: Int = byteValue.toInt\nval byteCollection: Coll[Byte] = byteValue.toBytes\nval bitCollection: Coll[Boolean] = byteValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n \n These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits.\n\n2. What happens if the Byte value overflows during conversion?\n \n If the Byte value overflows during conversion, an exception will be thrown.\n\n3. What is the format of the output for the toBytes and toBits methods?\n \n The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value." + }, + { + "fileName": "Context_methods.tex", + "filePath": "docs/spec/generated/Context_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex", + "summary": "This file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. \n\nThe `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block.\n\nFor example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block.\n\nThese methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value.\n\nOverall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions.", + "questions": "1. What is the purpose of the Context class?\n- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height.\n\n2. What is the result type of the Context.dataInputs method?\n- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data.\n\n3. What is the purpose of the Context.getVar method?\n- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist." + }, + { + "fileName": "GroupElement_methods.tex", + "filePath": "docs/spec/generated/GroupElement_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex", + "summary": "This code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography.\n\nThe first method, \\lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters.\n\nThe second method, \\lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \\lst{k}, which is a \\lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \\lst{g} and a scalar \\lst{k}, we can compute \\lst{k * g} using this method.\n\nThe third method, \\lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with.\n\nThe fourth method, \\lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key.\n\nOverall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements.", + "questions": "1. What is the purpose of the GroupElement class?\n- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication.\n\n2. What is the parameter for the exp method and what does it do?\n- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k.\n\n3. How does the negate method work?\n- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group." + }, + { + "fileName": "Header_methods.tex", + "filePath": "docs/spec/generated/Header_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex", + "summary": "This file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block.\n\nThe methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block.\n\nEach method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block.\n\nThese methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. \n\nExample usage:\n\n```\nval header: Header = // get header object from somewhere\nval version: Byte = header.version\nval timestamp: Long = header.timestamp\nval stateRoot: AvlTree = header.stateRoot\n```", + "questions": "1. What is the purpose of the Header class?\n- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information.\n\n2. What type of data does the Header.stateRoot method return?\n- The Header.stateRoot method returns an AvlTree object.\n\n3. What is the purpose of the Header.votes method?\n- The Header.votes method returns the votes that were cast for this block by validators in the network." + }, + { + "fileName": "Int_methods.tex", + "filePath": "docs/spec/generated/Int_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex", + "summary": "This file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value.\n\nThese methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations.\n\nHere is an example of using the `toBytes` method to convert an integer value to a byte array:\n\n```\nval intValue = 123456789\nval byteArr = intValue.toBytes\n```\n\nThis will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits.\n\n2. What happens if the integer value overflows during conversion?\n- The methods throw an exception if the integer value overflows during conversion.\n\n3. What is the format of the output for the toBytes and toBits methods?\n- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit." + }, + { + "fileName": "Long_methods.tex", + "filePath": "docs/spec/generated/Long_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex", + "summary": "This code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. \n\nThe toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit.\n\nThese methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. \n\nHere is an example of using the toBytes method:\n\n```\nval longValue: Long = 1234567890\nval bytes: Coll[Byte] = longValue.toBytes\n```\n\nIn this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable.", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- An exception will be thrown if there is an overflow during the conversion.\n\n3. How is the big-endian representation of the numeric value returned in the toBytes method?\n- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15]." + }, + { + "fileName": "PreHeader_methods.tex", + "filePath": "docs/spec/generated/PreHeader_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex", + "summary": "This code appears to be a set of methods for a class called \"PreHeader\". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. \n\nEach method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. \n\nBased on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. \n\nWithout more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. \n\nExample usage of these methods might look like:\n\n```\nval preHeader = new PreHeader(...)\nval version = preHeader.version\nval parentID = preHeader.parentId\nval timestamp = preHeader.timestamp\n// and so on for other properties\n```", + "questions": "1. What is the purpose of the PreHeader class?\n - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class.\n2. What are the expected inputs for the methods in the PreHeader class?\n - The code does not provide any information on the expected inputs for the methods in the PreHeader class.\n3. How are the results of the methods in the PreHeader class used in the larger project?\n - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project." + }, + { + "fileName": "SCollection_methods.tex", + "filePath": "docs/spec/generated/SCollection_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex", + "summary": "This code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more.\n\n1. `size`: Returns the number of elements in the collection.\n2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value.\n3. `map`: Applies a function to each element in the collection and returns a new collection with the results.\n4. `exists`: Checks if at least one element in the collection satisfies a given predicate.\n5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right.\n6. `forall`: Checks if all elements in the collection satisfy a given predicate.\n7. `slice`: Selects a range of elements from the collection based on the given indices.\n8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate.\n9. `append`: Concatenates two collections.\n10. `apply`: Returns the element at the specified index.\n11. `indices`: Returns a collection containing the range of all indices of the original collection.\n12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results.\n13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection.\n14. `indexOf`: Returns the index of a specified element in the collection.\n15. `zip`: Combines two collections into a single collection of pairs.\n\nThese methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format.", + "questions": "1. **What is the purpose of the SCollection class?**\n\n The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`.\n\n2. **How are the methods in the SCollection class serialized?**\n\n Each method in the SCollection class has a corresponding serialized form, as specified in the \"Serialized as\" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`.\n\n3. **What are the input and output types of the methods in the SCollection class?**\n\n The input and output types of the methods in the SCollection class can be found in the \"Parameters\" and \"Result\" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`." + }, + { + "fileName": "SOption_methods.tex", + "filePath": "docs/spec/generated/SOption_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex", + "summary": "This file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate.\n\nThe `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty.\n\nThe `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise.\n\nThese methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. \n\nExample usage of these methods could be as follows:\n\n```\nval myOption: SOption[Int] = SOption(5)\n\nif(myOption.isDefined){\n val value = myOption.get\n println(s\"The value is $value\")\n}\n\nval defaultValue = 10\nval result = myOption.getOrElse(defaultValue)\nprintln(s\"The result is $result\")\n\nval mappedOption = myOption.map(value => value * 2)\nprintln(s\"The mapped option is $mappedOption\")\n\nval filteredOption = myOption.filter(value => value > 10)\nprintln(s\"The filtered option is $filteredOption\")\n```", + "questions": "1. What is the purpose of the SOption class?\n- The SOption class provides methods for handling optional values in a type-safe way.\n\n2. What is the difference between SOption.get and SOption.getOrElse?\n- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty.\n\n3. What is the purpose of SOption.filter?\n- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None." + }, + { + "fileName": "Short_methods.tex", + "filePath": "docs/spec/generated/Short_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex", + "summary": "This file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. \n\nEach method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. \n\nThe toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. \n\nThese methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. \n\nExample usage:\n\n```\nval shortValue: Short = 1234\nval intValue: Int = shortValue.toInt\nval byteCollection: Coll[Byte] = shortValue.toBytes\nval booleanCollection: Coll[Boolean] = shortValue.toBits\n```", + "questions": "1. What is the purpose of these methods?\n- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans.\n\n2. What happens if there is an overflow during the conversion?\n- If there is an overflow during the conversion, an exception is thrown.\n\n3. How is the numeric value represented in the returned collection of bytes or Booleans?\n- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans." + }, + { + "fileName": "SigmaDslBuilder_methods.tex", + "filePath": "docs/spec/generated/SigmaDslBuilder_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex", + "summary": "This code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. \n\nThe `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object.\n\nThe `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object.\n\nBoth methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. \n\nExample usage of the `xor` method:\n\n```\nval left: Array[Byte] = Array(0x01, 0x02, 0x03)\nval right: Array[Byte] = Array(0x04, 0x05, 0x06)\nval result: Array[Byte] = SigmaDslBuilder.xor(left, right)\n// result is now [0x05, 0x07, 0x05]\n```\n\nOverall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project.", + "questions": "1. What is the purpose of the SigmaDslBuilder.groupGenerator method?\n- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator.\n\n2. What does the SigmaDslBuilder.xor method do?\n- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes.\n\n3. Are there any parameters for the SigmaDslBuilder.groupGenerator method?\n- No, there are no parameters for the SigmaDslBuilder.groupGenerator method." + }, + { + "fileName": "SigmaProp_methods.tex", + "filePath": "docs/spec/generated/SigmaProp_methods.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex", + "summary": "This code defines two methods for the SigmaProp class: propBytes and isProven. \n\nThe propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes.\n\nThe isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not.\n\nBoth of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. \n\nExample usage of the propBytes method:\n\n```\nval sigProp = new SigmaProp(...)\nval bytes = sigProp.propBytes\n// use bytes for verification\n```\n\nExample usage of the isProven method:\n\n```\nval sigProp = new SigmaProp(...)\nval isVerified = sigProp.isProven\n// use isVerified to determine validity of signature\n```", + "questions": "1. What is a Sigma proposition and how is it represented in this code?\n- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method.\n\n2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used?\n- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven.\n\n3. Are there any parameters required for these methods?\n- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods." + }, + { + "fileName": "ergotree_serialization.tex", + "filePath": "docs/spec/generated/ergotree_serialization.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex", + "summary": "This file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold.\n\nThe ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value.\n\nThe EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly.\n\nThe Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn.\n\nThe Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed.\n\nThese operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code.", + "questions": "1. What is the purpose of the code and what does it do?\n \n This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output.\n\n2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language?\n \n Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code.\n\n3. How might a developer modify or extend these operations to add new functionality to the language?\n \n A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability." + }, + { + "fileName": "predeffunc_rows.tex", + "filePath": "docs/spec/generated/predeffunc_rows.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex", + "summary": "This code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nSome of the key operations include:\n\n- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID.\n- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations.\n- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks.\n- `SelectField`: Select a tuple field by its 1-based index.\n- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results.\n- `If`: A conditional operation that computes different branches based on a boolean condition.\n- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values.\n- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands.\n- `Min` and `Max`: Find the minimum or maximum value of two operands.\n- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest.\n- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes.\n- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols.\n- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers.\n- `Apply`: Apply a function to its arguments.\n- `GetVar`: Get a context variable with a given ID and type.\n- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values.\n- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer.\n\nThese operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold.", + "questions": "1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work?\n **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id.\n\n2. **Question**: How does the `Downcast` operation handle overflow situations?\n **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs.\n\n3. **Question**: What is the difference between the `AND` and `OR` operations in this code?\n **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true." + }, + { + "fileName": "predeftypes.tex", + "filePath": "docs/spec/generated/predeftypes.tex", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex", + "summary": "This code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. \n\nFor example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. \n\nThese data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. \n\nOverall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. \n\nExample usage:\n\n```\n// Create a new Boolean object with a value of true\nBoolean myBool = true;\n\n// Serialize the Boolean object to a byte array\nbyte[] serializedBool = myBool.serialize();\n\n// Create a new GroupElement object representing a point on a curve\nGroupElement myPoint = new GroupElement(x, y);\n\n// Get the x-coordinate of the point\nBigInteger xCoord = myPoint.getX();\n```", + "questions": "1. What is the purpose of this code?\n This code defines various data types and their properties, such as range of values and whether they can be serialized or not.\n\n2. What is the significance of the different data types listed?\n The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types.\n\n3. What is the meaning of the different columns in the table?\n The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation." + } + ], + "folders": [], + "summary": "This folder contains code documentation for various classes and methods used in a larger project, likely related to a blockchain-based system. The code deals with data structures, cryptographic operations, and blockchain-specific concepts such as transactions, headers, and spending conditions.\n\nFor instance, the `AvlTree_methods.tex` file documents methods for working with AVL trees, which are self-balancing binary search trees. These methods can be used to implement efficient key-value stores or databases in the project. The `BigInt_methods.tex` and `Byte_methods.tex` files provide methods for converting numeric values to different data types and representations, which can be useful in cryptographic operations or data serialization.\n\nThe `Boolean_methods.tex` file deals with user authentication and authorization, providing classes and functions for securely managing user access to different parts of the system. The `Box_methods.tex` file documents methods for managing and manipulating Ergo tokens (NanoErg) in a blockchain-based project, providing functionality for accessing and modifying token containers.\n\nThe `Context_methods.tex` file provides methods for accessing information about transactions in the Ergo blockchain, allowing developers to create complex smart contracts that enforce specific conditions on transactions. The `GroupElement_methods.tex` file contains methods related to group elements used in elliptic curve cryptography, providing basic operations for scalar multiplication, group multiplication, and inversion of group elements.\n\nThe `Header_methods.tex` file documents methods for retrieving properties of a blockchain header, which can be used to verify the validity of a block or calculate the total difficulty of the blockchain. The `PreHeader_methods.tex` file contains methods for a class called \"PreHeader\", which likely stores metadata about a block in a blockchain.\n\nThe `SCollection_methods.tex` file provides methods for working with collections of elements, allowing users to perform various operations on collections such as getting the size, accessing elements by index, transforming elements, filtering, and more. The `SOption_methods.tex` file contains methods related to the SOption class, which is a wrapper around the Option class in Scala, representing optional values.\n\nThe `ergotree_serialization.tex` file documents several operations for working with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions.\n\nOverall, this folder provides a comprehensive documentation of various classes and methods used in a larger blockchain-based project, offering developers a solid foundation for understanding and working with the code.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/docs/spec` folder contains code documentation for a project related to the ErgoTree language, which is used to define the semantics of conditions that protect closed boxes in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. The folder contains files that cover various aspects of ErgoTree, such as serialization, typing rules, evaluation semantics, and predefined types and functions.\n\nFor example, the `appendix_ergotree_serialization.tex` file provides a technical explanation of the serialization format of ErgoTree nodes, which is essential for storing and processing scripts in the blockchain. Developers can reference this section to understand how to serialize ErgoTree nodes in their own code.\n\nThe `appendix_integer_encoding.tex` file contains methods for encoding integer values in a compressed format, which can be used in various applications such as data compression, network protocols, and file formats. Developers can use the provided VLQ and ZigZag encoding methods to compress large integer values efficiently.\n\nThe `appendix_predeftypes.tex` file defines the predefined types used in the ErgoTree language and their associated methods. This information is useful for developers working with ErgoTree and needing to understand the properties and capabilities of each type.\n\nThe `compile.sh` and `cleanout.sh` scripts are part of the build process for the project, helping to compile LaTeX documents into PDFs and clean up auxiliary files generated during the compilation process.\n\nHere's an example of how these files might be used together in a larger project:\n\n```python\n# Define a function using the syntax from language.tex\nfunc_def = \"f(x: Int, y: String) = x + y.length\"\n\n# Check the typing of the function using the rules from types.tex\nfunc_type = infer_type(func_def) # Returns \"(Int, String) -> Int\"\n\n# Serialize the function using the process from serialization.tex\nserialized_func = serialize(func_def)\n\n# Deserialize the function back into its original form\ndeserialized_func = deserialize(serialized_func)\n\n# Evaluate an expression using the function and the semantics from evaluation.tex\nexpr = \"f(5, 'hello')\"\nresult = evaluate(expr) # Returns 10\n```\n\nIn summary, the `.autodoc/docs/json/docs/spec` folder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.", + "questions": "" + }, + { + "folderName": "wpaper", + "folderPath": ".autodoc/docs/json/docs/wpaper", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/wpaper", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/wpaper/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/wpaper/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigma\" into a PDF file. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on the \"sigma\" document, followed by bibtex to process any bibliography references. It then runs pdflatex twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nThis script can be used as part of a larger project that involves writing and compiling LaTeX documents. It ensures that the necessary tools are installed and automates the compilation process, saving time and effort for the user. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document. \n\nHere is an example of how to use this script:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command \"chmod +x compile.sh\" to make the script executable.\n4. Run the command \"./compile.sh\" to compile the \"sigma\" document into a PDF file.\n\nOverall, this script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a useful tool for any project that involves writing and compiling LaTeX documents.", + "questions": "1. What is the purpose of this script?\n This script checks if the commands 'pdflatex' and 'bibtex' exist and if not, it provides instructions for installing them. It then runs these commands on a file called 'sigma' and removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n This script is compatible with Unix-based operating systems, such as Linux and macOS, that have the 'sh' shell installed.\n\n3. What is the 'sigma' file that this script is operating on?\n It is unclear from the code what the 'sigma' file is or what its contents are. It is possible that it is a LaTeX document that is being compiled into a PDF." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/wpaper` folder is a shell script that automates the process of compiling a LaTeX document named \"sigma\" into a PDF file. This script is particularly useful for projects that involve writing and compiling LaTeX documents, such as research papers with references and citations.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on the \"sigma\" document, followed by `bibtex` to process any bibliography references. It then runs `pdflatex` twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nTo use this script, follow these steps:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command `chmod +x compile.sh` to make the script executable.\n4. Run the command `./compile.sh` to compile the \"sigma\" document into a PDF file.\n\nThis script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document, saving time and effort for the user.", + "questions": "" + }, + { + "folderName": "zerojoin", + "folderPath": ".autodoc/docs/json/docs/zerojoin", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/zerojoin", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/zerojoin/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/zerojoin/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on a file named \"main\". This generates an auxiliary file, which is used by bibtex to generate a bibliography. The script then runs pdflatex again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands 'pdflatex' and 'bibtex' are installed and then runs them to compile a LaTeX document called 'main', and finally removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with any Unix-like operating system that has a Bourne shell (sh) interpreter installed.\n\n3. Are there any additional dependencies required to run this script?\n \n Yes, in addition to 'pdflatex' and 'bibtex', some additional packages like fonts and color packages are required. The script provides instructions for installing these packages on Ubuntu." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/zerojoin` folder is a shell script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system by using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on a file named \"main\". This generates an auxiliary file, which is used by `bibtex` to generate a bibliography. The script then runs `pdflatex` again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```bash\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/docs` folder contains essential documentation and resources for a project related to ErgoScript and ErgoTree, which are programming languages designed for cryptocurrencies and blockchain technology. The folder is organized into several subfolders, each focusing on a specific aspect of the project.\n\nThe `posters` subfolder provides a detailed technical explanation of ErgoScript and its capabilities in the `poster.tex` file, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development.\n\nThe `sigmastate_protocols` subfolder contains a `compile.sh` script that compiles LaTeX documents into PDF files. This script can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX.\n\nThe `spec` subfolder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language.\n\nThe `wpaper` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document named \"sigma\" into a PDF file. This script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents.\n\nThe `zerojoin` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes.\n\nIn summary, the `.autodoc/docs/json/docs` folder provides essential documentation, resources, and tools for projects related to ErgoScript and ErgoTree. The various subfolders cover different aspects of the project, such as technical explanations, specifications, and compilation scripts. These resources can be used by developers to better understand the project, implement features, and automate processes related to LaTeX documentation.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/wpaper/compile.json b/.autodoc/docs/json/docs/wpaper/compile.json new file mode 100644 index 0000000000..6ea5423391 --- /dev/null +++ b/.autodoc/docs/json/docs/wpaper/compile.json @@ -0,0 +1,7 @@ +{ + "fileName": "compile.sh", + "filePath": "docs/wpaper/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/wpaper/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigma\" into a PDF file. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on the \"sigma\" document, followed by bibtex to process any bibliography references. It then runs pdflatex twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nThis script can be used as part of a larger project that involves writing and compiling LaTeX documents. It ensures that the necessary tools are installed and automates the compilation process, saving time and effort for the user. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document. \n\nHere is an example of how to use this script:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command \"chmod +x compile.sh\" to make the script executable.\n4. Run the command \"./compile.sh\" to compile the \"sigma\" document into a PDF file.\n\nOverall, this script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a useful tool for any project that involves writing and compiling LaTeX documents.", + "questions": "1. What is the purpose of this script?\n This script checks if the commands 'pdflatex' and 'bibtex' exist and if not, it provides instructions for installing them. It then runs these commands on a file called 'sigma' and removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n This script is compatible with Unix-based operating systems, such as Linux and macOS, that have the 'sh' shell installed.\n\n3. What is the 'sigma' file that this script is operating on?\n It is unclear from the code what the 'sigma' file is or what its contents are. It is possible that it is a LaTeX document that is being compiled into a PDF." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/wpaper/summary.json b/.autodoc/docs/json/docs/wpaper/summary.json new file mode 100644 index 0000000000..d2f584a836 --- /dev/null +++ b/.autodoc/docs/json/docs/wpaper/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "wpaper", + "folderPath": ".autodoc/docs/json/docs/wpaper", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/wpaper", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/wpaper/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/wpaper/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document called \"sigma\" into a PDF file. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on the \"sigma\" document, followed by bibtex to process any bibliography references. It then runs pdflatex twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nThis script can be used as part of a larger project that involves writing and compiling LaTeX documents. It ensures that the necessary tools are installed and automates the compilation process, saving time and effort for the user. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document. \n\nHere is an example of how to use this script:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command \"chmod +x compile.sh\" to make the script executable.\n4. Run the command \"./compile.sh\" to compile the \"sigma\" document into a PDF file.\n\nOverall, this script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a useful tool for any project that involves writing and compiling LaTeX documents.", + "questions": "1. What is the purpose of this script?\n This script checks if the commands 'pdflatex' and 'bibtex' exist and if not, it provides instructions for installing them. It then runs these commands on a file called 'sigma' and removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n This script is compatible with Unix-based operating systems, such as Linux and macOS, that have the 'sh' shell installed.\n\n3. What is the 'sigma' file that this script is operating on?\n It is unclear from the code what the 'sigma' file is or what its contents are. It is possible that it is a LaTeX document that is being compiled into a PDF." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/wpaper` folder is a shell script that automates the process of compiling a LaTeX document named \"sigma\" into a PDF file. This script is particularly useful for projects that involve writing and compiling LaTeX documents, such as research papers with references and citations.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on the \"sigma\" document, followed by `bibtex` to process any bibliography references. It then runs `pdflatex` twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process.\n\nTo use this script, follow these steps:\n\n1. Save the script to a file called \"compile.sh\" in the same directory as the \"sigma\" LaTeX document.\n2. Open a terminal and navigate to the directory where the script and document are located.\n3. Run the command `chmod +x compile.sh` to make the script executable.\n4. Run the command `./compile.sh` to compile the \"sigma\" document into a PDF file.\n\nThis script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document, saving time and effort for the user.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/zerojoin/compile.json b/.autodoc/docs/json/docs/zerojoin/compile.json new file mode 100644 index 0000000000..aa7d2207e4 --- /dev/null +++ b/.autodoc/docs/json/docs/zerojoin/compile.json @@ -0,0 +1,7 @@ +{ + "fileName": "compile.sh", + "filePath": "docs/zerojoin/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/zerojoin/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on a file named \"main\". This generates an auxiliary file, which is used by bibtex to generate a bibliography. The script then runs pdflatex again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands 'pdflatex' and 'bibtex' are installed and then runs them to compile a LaTeX document called 'main', and finally removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with any Unix-like operating system that has a Bourne shell (sh) interpreter installed.\n\n3. Are there any additional dependencies required to run this script?\n \n Yes, in addition to 'pdflatex' and 'bibtex', some additional packages like fonts and color packages are required. The script provides instructions for installing these packages on Ubuntu." +} \ No newline at end of file diff --git a/.autodoc/docs/json/docs/zerojoin/summary.json b/.autodoc/docs/json/docs/zerojoin/summary.json new file mode 100644 index 0000000000..9c3ae52a47 --- /dev/null +++ b/.autodoc/docs/json/docs/zerojoin/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "zerojoin", + "folderPath": ".autodoc/docs/json/docs/zerojoin", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/zerojoin", + "files": [ + { + "fileName": "compile.sh", + "filePath": "docs/zerojoin/compile.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/zerojoin/compile.sh", + "summary": "This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the \"command -v\" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs pdflatex on a file named \"main\". This generates an auxiliary file, which is used by bibtex to generate a bibliography. The script then runs pdflatex again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".", + "questions": "1. What is the purpose of this script?\n \n This script checks if the commands 'pdflatex' and 'bibtex' are installed and then runs them to compile a LaTeX document called 'main', and finally removes some auxiliary files.\n\n2. What operating systems is this script compatible with?\n \n This script is compatible with any Unix-like operating system that has a Bourne shell (sh) interpreter installed.\n\n3. Are there any additional dependencies required to run this script?\n \n Yes, in addition to 'pdflatex' and 'bibtex', some additional packages like fonts and color packages are required. The script provides instructions for installing these packages on Ubuntu." + } + ], + "folders": [], + "summary": "The `compile.sh` script in the `.autodoc/docs/json/docs/zerojoin` folder is a shell script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes.\n\nThe script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system by using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1.\n\nAssuming both commands are found, the script then runs `pdflatex` on a file named \"main\". This generates an auxiliary file, which is used by `bibtex` to generate a bibliography. The script then runs `pdflatex` again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated.\n\nAfter the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean.\n\nThis script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated.\n\nExample usage:\n\n```bash\n$ ./compile.sh\n```\n\nThis will compile the LaTeX document named \"main.tex\" in the current directory and generate a PDF named \"main.pdf\".", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/resources/reference.json b/.autodoc/docs/json/graph-ir/src/main/resources/reference.json new file mode 100644 index 0000000000..af055776a9 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/resources/reference.json @@ -0,0 +1,7 @@ +{ + "fileName": "reference.conf", + "filePath": "graph-ir/src/main/resources/reference.conf", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf", + "summary": "This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```", + "questions": "1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/resources/summary.json b/.autodoc/docs/json/graph-ir/src/main/resources/summary.json new file mode 100644 index 0000000000..39a377e72e --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/resources/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "resources", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/resources", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources", + "files": [ + { + "fileName": "reference.conf", + "filePath": "graph-ir/src/main/resources/reference.conf", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf", + "summary": "This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```", + "questions": "1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs." + } + ], + "folders": [], + "summary": "The `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation.\n\nFor instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file:\n\n```scala\nscalan {\n debug = true\n}\n```\n\nAnother important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development.\n\nThe `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code.\n\nThe `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins.\n\nThe `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`:\n\n```scala\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n\nIn summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/DefRewriting.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/DefRewriting.json new file mode 100644 index 0000000000..e8a90f8a4e --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/DefRewriting.json @@ -0,0 +1,7 @@ +{ + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Entities.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Entities.json new file mode 100644 index 0000000000..971e4517fc --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Entities.json @@ -0,0 +1,7 @@ +{ + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Exceptions.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Exceptions.json new file mode 100644 index 0000000000..ee3c528ca2 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Exceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/GraphIRReflection.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/GraphIRReflection.json new file mode 100644 index 0000000000..712f631ead --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/GraphIRReflection.json @@ -0,0 +1,7 @@ +{ + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Library.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Library.json new file mode 100644 index 0000000000..3957e8c7e6 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Library.json @@ -0,0 +1,7 @@ +{ + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MethodCalls.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MethodCalls.json new file mode 100644 index 0000000000..ee108bef42 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MethodCalls.json @@ -0,0 +1,7 @@ +{ + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/ModuleInfo.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/ModuleInfo.json new file mode 100644 index 0000000000..aa7e77c655 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/ModuleInfo.json @@ -0,0 +1,7 @@ +{ + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Modules.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Modules.json new file mode 100644 index 0000000000..43f9b3b4cf --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Modules.json @@ -0,0 +1,7 @@ +{ + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MutableLazy.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MutableLazy.json new file mode 100644 index 0000000000..657a4a860e --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/MutableLazy.json @@ -0,0 +1,7 @@ +{ + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Scalan.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Scalan.json new file mode 100644 index 0000000000..6510ee97ec --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/Scalan.json @@ -0,0 +1,7 @@ +{ + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/SigmaLibrary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/SigmaLibrary.json new file mode 100644 index 0000000000..2d351a80bc --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/SigmaLibrary.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/TypeDescs.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/TypeDescs.json new file mode 100644 index 0000000000..e1eafc6382 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/TypeDescs.json @@ -0,0 +1,7 @@ +{ + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/SSymName.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/SSymName.json new file mode 100644 index 0000000000..d978e684c3 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/SSymName.json @@ -0,0 +1,7 @@ +{ + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/summary.json new file mode 100644 index 0000000000..49386ac25c --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Equal.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Equal.json new file mode 100644 index 0000000000..4c163fdb9b --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Equal.json @@ -0,0 +1,7 @@ +{ + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Functions.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Functions.json new file mode 100644 index 0000000000..c4cfd8032c --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Functions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/IfThenElse.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/IfThenElse.json new file mode 100644 index 0000000000..17c9a81638 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/IfThenElse.json @@ -0,0 +1,7 @@ +{ + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/LogicalOps.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/LogicalOps.json new file mode 100644 index 0000000000..82339be8a7 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/LogicalOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/NumericOps.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/NumericOps.json new file mode 100644 index 0000000000..2beff2f868 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/NumericOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/OrderingOps.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/OrderingOps.json new file mode 100644 index 0000000000..b580ed10d6 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/OrderingOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Thunks.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Thunks.json new file mode 100644 index 0000000000..122e1bdfea --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Thunks.json @@ -0,0 +1,7 @@ +{ + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Tuples.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Tuples.json new file mode 100644 index 0000000000..3bcf40c0df --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/Tuples.json @@ -0,0 +1,7 @@ +{ + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UnBinOps.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UnBinOps.json new file mode 100644 index 0000000000..d1d9e295ff --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UnBinOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UniversalOps.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UniversalOps.json new file mode 100644 index 0000000000..c80158081e --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/UniversalOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/summary.json new file mode 100644 index 0000000000..df65e6b37f --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives/summary.json @@ -0,0 +1,80 @@ +{ + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/AstGraphs.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/AstGraphs.json new file mode 100644 index 0000000000..90ab100bf2 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/AstGraphs.json @@ -0,0 +1,7 @@ +{ + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.json new file mode 100644 index 0000000000..1abe7ef598 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/Transforming.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/Transforming.json new file mode 100644 index 0000000000..ca5e4c6d8f --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/Transforming.json @@ -0,0 +1,7 @@ +{ + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/summary.json new file mode 100644 index 0000000000..2f959d0248 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/summary.json new file mode 100644 index 0000000000..e7f2bf0b04 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/summary.json @@ -0,0 +1,240 @@ +{ + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan", + "files": [ + { + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." + }, + { + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." + }, + { + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." + }, + { + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." + }, + { + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." + }, + { + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." + }, + { + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." + }, + { + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." + }, + { + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." + }, + { + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." + }, + { + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." + }, + { + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." + } + ], + "folders": [ + { + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" + }, + { + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" + } + ], + "summary": "The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/Variance.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/Variance.json new file mode 100644 index 0000000000..f241089ec6 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/Variance.json @@ -0,0 +1,7 @@ +{ + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/summary.json new file mode 100644 index 0000000000..b0703026c0 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/CollsUnit.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/CollsUnit.json new file mode 100644 index 0000000000..4096ea2b98 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/CollsUnit.json @@ -0,0 +1,7 @@ +{ + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/CollsImpl.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/CollsImpl.json new file mode 100644 index 0000000000..ffbee11b8b --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/CollsImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/summary.json new file mode 100644 index 0000000000..b5ada07206 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/summary.json new file mode 100644 index 0000000000..43f2cde1f9 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/summary.json @@ -0,0 +1,35 @@ +{ + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.json new file mode 100644 index 0000000000..2b95c7516b --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/summary.json new file mode 100644 index 0000000000..ec570e6f14 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/summary.json @@ -0,0 +1,35 @@ +{ + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.json new file mode 100644 index 0000000000..3c5cb21d9c --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.json @@ -0,0 +1,7 @@ +{ + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/summary.json new file mode 100644 index 0000000000..e5dc7a8021 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/summary.json new file mode 100644 index 0000000000..a70b955bc8 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/summary.json @@ -0,0 +1,97 @@ +{ + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special", + "files": [], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" + } + ], + "summary": "The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/WrappersModule.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/WrappersModule.json new file mode 100644 index 0000000000..356a68cdec --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/WrappersModule.json @@ -0,0 +1,7 @@ +{ + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/summary.json new file mode 100644 index 0000000000..9188f6998f --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/summary.json new file mode 100644 index 0000000000..78ec673c69 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/summary.json @@ -0,0 +1,462 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan", + "files": [ + { + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." + }, + { + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." + }, + { + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." + }, + { + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." + }, + { + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." + }, + { + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." + }, + { + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." + }, + { + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." + }, + { + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." + }, + { + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." + }, + { + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." + }, + { + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." + } + ], + "folders": [ + { + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" + }, + { + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" + } + ], + "summary": "The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special", + "files": [], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" + } + ], + "summary": "The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/WOptions.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/WOptions.json new file mode 100644 index 0000000000..2e31fd7189 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/WOptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.json new file mode 100644 index 0000000000..87af5b1647 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/summary.json new file mode 100644 index 0000000000..c62d15bec2 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/summary.json new file mode 100644 index 0000000000..f8ec9d344d --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/summary.json @@ -0,0 +1,35 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/WRTypes.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/WRTypes.json new file mode 100644 index 0000000000..99daab377f --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/WRTypes.json @@ -0,0 +1,7 @@ +{ + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.json new file mode 100644 index 0000000000..f406128145 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/summary.json new file mode 100644 index 0000000000..e727022a6d --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/summary.json new file mode 100644 index 0000000000..bf22c4d58b --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/summary.json @@ -0,0 +1,35 @@ +{ + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.json new file mode 100644 index 0000000000..c959916893 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.json @@ -0,0 +1,7 @@ +{ + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.json new file mode 100644 index 0000000000..3151f70f35 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.json @@ -0,0 +1,7 @@ +{ + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/summary.json new file mode 100644 index 0000000000..d1dc7a3a9d --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/summary.json new file mode 100644 index 0000000000..c4f56a1107 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/summary.json @@ -0,0 +1,35 @@ +{ + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/summary.json b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/summary.json new file mode 100644 index 0000000000..170a2c17a6 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/summary.json @@ -0,0 +1,115 @@ +{ + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/main/summary.json b/.autodoc/docs/json/graph-ir/src/main/summary.json new file mode 100644 index 0000000000..081d0af529 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/main/summary.json @@ -0,0 +1,489 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/graph-ir/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main", + "files": [], + "folders": [ + { + "folderName": "resources", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/resources", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources", + "files": [ + { + "fileName": "reference.conf", + "filePath": "graph-ir/src/main/resources/reference.conf", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf", + "summary": "This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```", + "questions": "1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs." + } + ], + "folders": [], + "summary": "The `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation.\n\nFor instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file:\n\n```scala\nscalan {\n debug = true\n}\n```\n\nAnother important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development.\n\nThe `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code.\n\nThe `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins.\n\nThe `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`:\n\n```scala\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n\nIn summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation.", + "questions": "" + }, + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan", + "files": [ + { + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." + }, + { + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." + }, + { + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." + }, + { + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." + }, + { + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." + }, + { + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." + }, + { + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." + }, + { + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." + }, + { + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." + }, + { + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." + }, + { + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." + }, + { + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." + } + ], + "folders": [ + { + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" + }, + { + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" + } + ], + "summary": "The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special", + "files": [], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" + } + ], + "summary": "The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/src/summary.json b/.autodoc/docs/json/graph-ir/src/summary.json new file mode 100644 index 0000000000..8eec09a815 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/src/summary.json @@ -0,0 +1,499 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/graph-ir/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/graph-ir/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main", + "files": [], + "folders": [ + { + "folderName": "resources", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/resources", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources", + "files": [ + { + "fileName": "reference.conf", + "filePath": "graph-ir/src/main/resources/reference.conf", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf", + "summary": "This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```", + "questions": "1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs." + } + ], + "folders": [], + "summary": "The `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation.\n\nFor instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file:\n\n```scala\nscalan {\n debug = true\n}\n```\n\nAnother important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development.\n\nThe `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code.\n\nThe `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins.\n\nThe `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`:\n\n```scala\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n\nIn summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation.", + "questions": "" + }, + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan", + "files": [ + { + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." + }, + { + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." + }, + { + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." + }, + { + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." + }, + { + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." + }, + { + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." + }, + { + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." + }, + { + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." + }, + { + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." + }, + { + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." + }, + { + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." + }, + { + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." + } + ], + "folders": [ + { + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" + }, + { + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" + } + ], + "summary": "The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special", + "files": [], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" + } + ], + "summary": "The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/graph-ir/summary.json b/.autodoc/docs/json/graph-ir/summary.json new file mode 100644 index 0000000000..89a6212bd2 --- /dev/null +++ b/.autodoc/docs/json/graph-ir/summary.json @@ -0,0 +1,509 @@ +{ + "folderName": "graph-ir", + "folderPath": ".autodoc/docs/json/graph-ir", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/graph-ir/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/graph-ir/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main", + "files": [], + "folders": [ + { + "folderName": "resources", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/resources", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources", + "files": [ + { + "fileName": "reference.conf", + "filePath": "graph-ir/src/main/resources/reference.conf", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf", + "summary": "This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. \n\nThe file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases.\n\nThe file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata.\n\nOverall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. \n\nExample usage:\n\nTo enable debug mode, set the debug option to true in the application.conf file:\n\n```\nscalan {\n debug = true\n}\n```\n\nTo customize the format of generated graphs, set the format option to svg:\n\n```\nscalan {\n graphviz {\n format = svg\n }\n}\n```", + "questions": "1. What is the purpose of this configuration file?\n This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file.\n\n2. What is the significance of the \"debug\" and \"verbosity\" settings?\n The \"debug\" setting determines whether extra debugging information is collected, while the \"verbosity\" setting determines the level of verbosity for the debugging information.\n\n3. What is the purpose of the \"graphviz\" section and its settings?\n The \"graphviz\" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs." + } + ], + "folders": [], + "summary": "The `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation.\n\nFor instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file:\n\n```scala\nscalan {\n debug = true\n}\n```\n\nAnother important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development.\n\nThe `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code.\n\nThe `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins.\n\nThe `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`:\n\n```scala\nscalan {\n graphviz {\n format = svg\n }\n}\n```\n\nIn summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation.", + "questions": "" + }, + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan", + "files": [ + { + "fileName": "DefRewriting.scala", + "filePath": "graph-ir/src/main/scala/scalan/DefRewriting.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala", + "summary": "The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. \n\nThe main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node.\n\nThe trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation.\n\nThe trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done.\n\nOverall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program.", + "questions": "1. What is the purpose of the `DefRewriting` trait?\n- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns.\n\n2. What types of nodes can be rewritten using the `rewriteDef` method?\n- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`.\n\n3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods?\n- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done." + }, + { + "fileName": "Entities.scala", + "filePath": "graph-ir/src/main/scala/scalan/Entities.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala", + "summary": "The code defines a trait called \"Entities\" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The \"Entities\" trait extends another trait called \"TypeDescs\" and requires that any class that uses it also extends the \"Scalan\" trait.\n\nThe \"Entities\" trait defines several abstract classes and traits. The \"EntityElem\" abstract class is the base class for all descriptors of staged traits. It has a type parameter \"A\" which represents the type of the staged trait. The \"EntityElem\" class also has a method called \"convert\" which takes a reference to a \"Def\" object and returns a reference to an object of type \"A\". However, this method is not implemented and throws an exception if called. The \"EntityElem\" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the \"Elem\" suffix.\n\nThe \"EntityElem1\" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the \"EntityElem\" class and has two type parameters: \"A\" which represents the type of the staged trait, and \"To\" which represents the type of the staged trait with the type parameter applied. The \"EntityElem1\" class also has a constructor that takes an \"Elem\" object representing the type parameter and a \"Cont\" object representing the container type. The \"EntityElem1\" class overrides the \"getName\" method to include the name of the type parameter in the entity name.\n\nThe \"ConcreteElem\" trait is the base class for all descriptors of staged classes. It extends the \"EntityElem\" class and has two type parameters: \"TData\" which represents the data type of the staged class, and \"TClass\" which represents the type of the staged class.\n\nThe \"ConcreteElem1\" trait is the base class for all descriptors of staged classes with one type parameter. It extends the \"EntityElem1\" class and has four type parameters: \"A\" which represents the type of the staged class, \"TData\" which represents the data type of the staged class, \"TClass\" which represents the type of the staged class with the type parameter applied, and \"C[_]\" which represents the container type.\n\nThe \"CompanionElem\" abstract class is the base class for all descriptors of staged companions. It extends the \"Elem\" trait and has a type parameter \"T\" which represents the type of the staged companion.\n\nOverall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the \"EntityElem\" class and providing an implementation for the \"convert\" method.", + "questions": "1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait?\n- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in.\n2. What is the difference between `EntityElem` and `EntityElem1`?\n- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter.\n3. What is the purpose of the `CompanionElem` class?\n- The `CompanionElem` class is a base class for all descriptors of staged companions." + }, + { + "fileName": "Exceptions.scala", + "filePath": "graph-ir/src/main/scala/scalan/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala", + "summary": "The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. \n\nIn the context of the larger project, this exception can be used in conjunction with a technique called \"staged programming\" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. \n\nWhen a method is marked as \"staged\", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. \n\nThe `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. \n\nHere is an example of how this exception might be used in a staged method:\n\n```scala\ndef stagedMethod(x: Int): Int = {\n if (x < 0) {\n throw new DelayInvokeException()\n } else {\n x * 2\n }\n}\n```\n\nIn this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. \n\nOverall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project.", + "questions": "1. What is the purpose of the DelayInvokeException class?\n \n The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node.\n\n2. Why does the fillInStackTrace method override the Throwable class?\n \n The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace.\n\n3. What is the package name for this code?\n \n The package name for this code is \"scalan\"." + }, + { + "fileName": "GraphIRReflection.scala", + "filePath": "graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala", + "summary": "The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked.\n\nOther classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others.\n\nFor example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations.\n\nIn summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation.", + "questions": "1. **What is the purpose of this code?**\n\n This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking.\n\n2. **What is the role of the `registerClassEntry` function?**\n\n The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes.\n\n3. **Why are there null type casts for `ctx` in some parts of the code?**\n\n The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference." + }, + { + "fileName": "Library.scala", + "filePath": "graph-ir/src/main/scala/scalan/Library.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala", + "summary": "The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. \n\nThe `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. \n\nThe trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. \n\nThe trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. \n\nThe trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. \n\nThe trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. \n\nThe trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. \n\nFinally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. \n\nOverall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections.", + "questions": "1. What is the purpose of the `Library` trait and what does it extend?\n- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`.\n\n2. What is the purpose of the `liftElem` method and how does it work?\n- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`.\n\n3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements?\n- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions." + }, + { + "fileName": "MethodCalls.scala", + "filePath": "graph-ir/src/main/scala/scalan/MethodCalls.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala", + "summary": "The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. \n\n`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference.\n\n`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference.\n\n`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called.\n\nThe `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls.\n\nOverall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project.", + "questions": "1. What is the purpose of the `MethodCalls` trait and how is it used in the project?\n- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations.\n\n2. What is the `MethodCall` case class and what information does it contain?\n- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class.\n\n3. What is the purpose of the `invokeMethod` method and what are its parameters?\n- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation." + }, + { + "fileName": "ModuleInfo.scala", + "filePath": "graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala", + "summary": "The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. \n\nThe `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to \".scalan\".\n\nThe `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file.\n\nThis class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. \n\nOverall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module.", + "questions": "1. What is the purpose of the `ModuleInfo` class?\n - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension.\n\n2. What is the `name` property of the `ModuleInfo` class?\n - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names.\n\n3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class?\n - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names." + }, + { + "fileName": "Modules.scala", + "filePath": "graph-ir/src/main/scala/scalan/Modules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala", + "summary": "The code above is a trait called \"Modules\" that extends another trait called \"Base\" and is used in the larger project called \"Scalan\". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process.\n\nThe trait has two methods: \"okRegisterModules\" and \"registerModule\". The \"okRegisterModules\" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses.\n\nThe \"registerModule\" method is called once for each staged module during the cake initialization process. It takes a parameter called \"moduleInfo\" which contains information about the module being registered. If the \"okRegisterModules\" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the \"registerModule\" method needs to be overridden in the subclass.\n\nThis trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the \"okRegisterModules\" method to return true and implementing the \"registerModule\" method to handle the registration of the new module.\n\nHere is an example of how this trait can be used:\n\n```scala\ntrait MyModule extends Scalan {\n override def okRegisterModules: Boolean = true\n\n override protected def registerModule(moduleInfo: ModuleInfo) = {\n // handle registration of MyModule here\n }\n}\n```\n\nIn this example, a new module called \"MyModule\" is defined as a subclass of \"Scalan\". The \"okRegisterModules\" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The \"registerModule\" method is also overridden to handle the registration of \"MyModule\".", + "questions": "1. What is the purpose of the `Modules` trait?\n \n The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization.\n\n2. What is the significance of the `okRegisterModules` method?\n \n The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized.\n\n3. What happens if the `registerModule` method is not overridden in the IR cake?\n \n If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered." + }, + { + "fileName": "MutableLazy.scala", + "filePath": "graph-ir/src/main/scala/scalan/MutableLazy.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala", + "summary": "The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`.\n\nThe `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned.\n\nThe `isSet` method returns the value of the `_isSet` flag.\n\nThe `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called.\n\nThe `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`.\n\nThe `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code.\n\nThe `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1.\n\nThis class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior.", + "questions": "1. What is the purpose of the `@volatile` keyword in this code?\n- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache.\n\n2. Can the `block` parameter be null?\n- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed.\n\n3. Is the `MutableLazy` class thread-safe?\n- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag." + }, + { + "fileName": "Scalan.scala", + "filePath": "graph-ir/src/main/scala/scalan/Scalan.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala", + "summary": "The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project.\n\nThe `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types.\n\nThe typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design.\n\nThe `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project.\n\nFor example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality.\n\nOverall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities.", + "questions": "1. What is the purpose of the `Scalan` class?\n \n The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes.\n\n2. What are some of the traits that the `Scalan` class extends?\n \n The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`.\n\n3. What is the typical usage of the `Scalan` class?\n \n The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations." + }, + { + "fileName": "SigmaLibrary.scala", + "filePath": "graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala", + "summary": "The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation.\n\nThe SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL.\n\nThe sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol.\n\nOverall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project:\n\n```scala\nimport scalan.SigmaLibrary\n\nobject MySigmaProtocol extends SigmaLibrary {\n def myProtocol = {\n val builder = sigmaDslBuilder\n import builder._\n val x = anyVar(\"x\", IntType)\n val y = anyVar(\"y\", IntType)\n val z = anyVar(\"z\", IntType)\n val condition = GT(Plus(x, y), z)\n compile(condition)\n }\n}\n```\n\nIn this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol.", + "questions": "1. What is the purpose of the SigmaLibrary trait?\n \n The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules.\n\n2. What is the significance of the WRType import and the wRTypeAnyElement definition?\n \n The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement.\n\n3. What is the purpose of the sigmaDslBuilder method?\n \n The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation." + }, + { + "fileName": "TypeDescs.scala", + "filePath": "graph-ir/src/main/scala/scalan/TypeDescs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala", + "summary": "The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses.\n\n`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types.\n\n`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type.\n\nThe module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR.\n\nIn summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting.", + "questions": "1. **What is the purpose of the `TypeDescs` abstract class?**\n\n The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors.\n\n2. **How does the `Elem` abstract class work?**\n\n The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility.\n\n3. **What is the purpose of the `Cont` abstract class?**\n\n The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class." + } + ], + "folders": [ + { + "folderName": "meta", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta", + "files": [ + { + "fileName": "SSymName.scala", + "filePath": "graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala", + "summary": "The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. \n\nThe SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name.\n\nThe SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance.\n\nThis code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. \n\nExample usage:\n\n```\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\nval symName = SSymName(\"scala.collection\", \"Seq\")\nval isImported = symName.isImportedBy(importItem) // returns true\n```", + "questions": "1. What is the purpose of the `SSymName` class and how is it used?\n The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`.\n\n2. What is the purpose of the `ImportItem` case class and how is it used?\n The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement.\n\n3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object?\n The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package." + } + ], + "folders": [], + "summary": "The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project.\n\nThe `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example:\n\n```scala\nval importItem = ImportItem(\"scala.collection\", List(\"Seq\", \"Map\"))\n```\n\nThe `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example:\n\n```scala\nval symName = SSymName(\"scala.collection\", \"Seq\")\n```\n\nThe `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`.\n\nThe `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example:\n\n```scala\nval isImported = symName.isImportedBy(importItem) // returns true\n```\n\nIn a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project.", + "questions": "" + }, + { + "folderName": "primitives", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives", + "files": [ + { + "fileName": "Equal.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala", + "summary": "The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not.\n\nThe equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments.\n\nThe trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node.\n\nThis code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them:\n\n```\nval x = 1\nval y = 2\nval z = 1\nval equal = x === z // true\nval notEqual = x !== y // true\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes.\n\n2. What is the significance of the `implicit` keyword in this code?\n- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods.\n\n3. What is the role of the `Base` and `Scalan` traits in this code?\n- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`." + }, + { + "fileName": "Functions.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala", + "summary": "This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait.\n\nThe `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`.\n\n`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`.\n\nThe trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework.\n\nThe `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework.\n\nIn summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions.", + "questions": "1. **What is the purpose of the `useAlphaEquality` variable?**\n\n The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor.\n\n2. **What does the `keepOriginalFunc` variable do?**\n\n The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`.\n\n3. **What is the purpose of the `unfoldWithOriginalFunc` variable?**\n\n The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node." + }, + { + "fileName": "IfThenElse.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala", + "summary": "The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. \n\nThe main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement.\n\nThe trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object.\n\nThe ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement.\n\nOverall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. \n\nExample usage:\n\n```\nval x = 5\nval y = 10\nval z = if (x > y) {\n \"x is greater than y\"\n} else {\n \"y is greater than x\"\n}\n```\n\ncan be written using the IfThenElse trait as:\n\n```\nval x = 5\nval y = 10\nval z = IF(x > y).THEN(\"x is greater than y\").ELSE(\"y is greater than x\")\n```", + "questions": "1. What is the purpose of the `IfThenElse` trait and how is it used in the project?\n \n The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions.\n\n2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class?\n \n The `THEN` method is used to specify the \"then\" branch of the if-then-else expression, while the `ELSE` method is used to specify the \"else\" branch. The `ELSE` method returns the result of the if-then-else expression.\n\n3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method?\n \n The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the \"then\" and \"else\" branches in `ThunkDef` nodes, which are evaluated lazily." + }, + { + "fileName": "LogicalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala", + "summary": "The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. \n\nThe `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. \n\nThe `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. \n\nThe `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. \n\nThe `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. \n\nOverall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants.", + "questions": "1. What is the purpose of the `LogicalOps` trait?\n- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion.\n\n2. What is the difference between `And` and `Or`?\n- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation.\n\n3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`?\n- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations." + }, + { + "fileName": "NumericOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala", + "summary": "The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. \n\nThe `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. \n\nThe `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. \n\nThe `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. \n\nThe descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. \n\nThe `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. \n\nFinally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. \n\nOverall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic.", + "questions": "1. What is the purpose of the `NumericOps` trait?\n- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations.\n\n2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`?\n- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class.\n\n3. What is the purpose of the `isZero` and `isOne` methods?\n- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively." + }, + { + "fileName": "OrderingOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala", + "summary": "The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. \n\nThe `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \n\nThe `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`.\n\nOverall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. \n\nExample usage:\n\n```scala\nimport scalan.primitives.OrderingOps\n\ncase class Person(name: String, age: Int)\n\nobject PersonImplicits {\n implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] {\n override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age)\n }\n}\n\nobject Main extends OrderingOps {\n import PersonImplicits._\n\n val alice = Person(\"Alice\", 25)\n val bob = Person(\"Bob\", 30)\n\n val isAliceYounger = alice < bob // true\n val isBobOlderOrEqual = bob >= alice // true\n val olderPerson = alice.max(bob) // Person(\"Bob\", 30)\n}\n```", + "questions": "1. What is the purpose of this code?\n- This code defines extension methods and descriptors for comparison operations in Scala.\n\n2. What is the role of the `ExactOrdering` type?\n- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`.\n\n3. What are some of the available comparison operations provided by this code?\n- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`." + }, + { + "fileName": "Thunks.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala", + "summary": "The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods.\n\nThe main components of the trait are:\n\n- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`.\n- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions.\n- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`.\n- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`.\n- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`.\n- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class.\n- `ThunkStack`: A class representing the stack of nested thunks during graph construction.\n- `ThunkScope`: A helper object to handle the construction of nested thunks.\n\nThe trait provides several methods for creating, mapping, and forcing thunks:\n\n- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way.\n- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`.\n- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body.\n- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value.\n\nThe code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`.", + "questions": "1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code?\n **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`.\n\n2. **Question**: How does the `thunk_create` function work and when should it be used?\n **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value.\n\n3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code?\n **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes." + }, + { + "fileName": "Tuples.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala", + "summary": "The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. \n\nThe `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. \n\nThe `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. \n\nThe `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. \n\nOverall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. \n\nExample usage:\n\n```\nimport scalan._\nimport scalan.primitives.Tuples\n\ntrait MyModule extends Scalan with Tuples {\n def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = {\n val pair = Pair(a, b)\n val first = pair.head\n val second = pair.tail\n val tuple = (first, second)\n tuple\n }\n}\n```", + "questions": "1. What is the purpose of the `Tuples` trait and what does it provide?\n \n The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists.\n\n2. What is the purpose of the `zipPair` and `unzipPair` methods?\n \n The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework.\n\n3. What is the purpose of the `tuplesCache` variable and when is it used?\n \n The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true." + }, + { + "fileName": "UnBinOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala", + "summary": "The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. \n\nThe `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. \n\nThe `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. \n\nThe trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. \n\nOverall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. \n\nExample usage:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyProg extends Scalan with UnBinOps {\n val double = new UnOp[Int, Int](\"double\") {\n def applySeq(x: Int) = x * 2\n }\n\n val add = new BinOp[Int, Int](\"add\") {\n def applySeq(x: Int, y: Int) = x + y\n }\n\n def test = {\n val x = 10\n val y = 20\n val z = 30\n val res = add(double(x), add(y, z))\n res\n }\n}\n``` \n\nIn this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments.", + "questions": "1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits?\n- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework.\n\n2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class?\n- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated.\n\n3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes?\n- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior." + }, + { + "fileName": "UniversalOps.scala", + "filePath": "graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala", + "summary": "The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. \n\nThe first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument.\n\nThe `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value.\n\nThe `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost.\n\nThe `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`.\n\nThe `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value.\n\nThe `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively.\n\nThe `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion.", + "questions": "1. What is the purpose of the `OpCost` case class and how is it used?\n- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method.\n2. What is the difference between `Downcast` and `Upcast` case classes?\n- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference.\n3. What is the purpose of the `assertValueIdForOpCost` method?\n- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation.\n\nFor example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`.\n\nThe `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions.\n\nThe `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition.\n\nThe `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "staged", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged", + "files": [ + { + "fileName": "AstGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala", + "summary": "The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. \n\nThe AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node.\n\nThe AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes.\n\nThe AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG.\n\nThe code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nOverall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait?\n- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs.\n\n2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class?\n- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence.\n\n3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class?\n- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph." + }, + { + "fileName": "ProgramGraphs.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala", + "summary": "The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs.\n\nThe `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting.\n\nThe `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph.\n\nOverall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`:\n\n```\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```", + "questions": "1. What is the purpose of the `PGraphUsages` class?\n- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`.\n\n2. What is the difference between `ProgramGraph` constructors?\n- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node.\n\n3. What is the purpose of the `transform` method in the `ProgramGraph` class?\n- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it." + }, + { + "fileName": "Transforming.scala", + "filePath": "graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala", + "summary": "The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. \n\nThe `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. \n\nThe `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. \n\nThe `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. \n\nThe `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. \n\nOverall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph.", + "questions": "1. What is the purpose of the `Pass` trait and its subclasses?\n- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another.\n\n2. What is the purpose of the `Rewriter` trait and its subclasses?\n- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter.\n\n3. What is the purpose of the `Mirror` trait and its subclasses?\n- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project.\n\nIn `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG.\n\nFor example, you can create a new `AstGraph` object and manipulate its schedule:\n\n```scala\nval graph = new AstGraph(...)\nval flattenedSchedule = graph.flattenSchedule\n```\n\nIn `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`.\n\nHere's an example of using the `ProgramGraph` object to transform a `Ref`:\n\n```scala\nval s: Ref[Int] = ...\nval rw: Rewriter = ...\nval t: MapTransformer = ...\nval transformedS = ProgramGraph.transform(s, rw, t)\n```\n\nIn `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations.\n\nFor example, you can define a custom compiler pass and apply it to a graph:\n\n```scala\nobject MyPass extends Pass {\n val name = \"MyPass\"\n ...\n}\n\nval graph = ...\ngraph.beginPass(MyPass)\nval transformedGraph = graph.mirrorSymbols(...)\ngraph.endPass()\n```\n\nOverall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code.", + "questions": "" + }, + { + "folderName": "util", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util", + "files": [ + { + "fileName": "Variance.scala", + "filePath": "graph-ir/src/main/scala/scalan/util/Variance.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala", + "summary": "This code defines a sealed trait called \"Variance\" and three case objects that extend it: \"Invariant\", \"Covariant\", and \"Contravariant\". \n\nIn programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. \n\nThe \"Invariant\" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. \n\nThe \"Covariant\" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. \n\nThe \"Contravariant\" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. \n\nThis code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. \n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n``` \n\nBy using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping.", + "questions": "1. What is the purpose of the `Variance` trait and its three case objects?\n \n The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type.\n\n2. Why is the `Variance` trait sealed?\n \n The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file.\n\n3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait?\n \n Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface." + } + ], + "folders": [], + "summary": "The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project.\n\nVariance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters.\n\nThe `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B.\n\n```scala\nclass InvariantContainer[T] // Invariant container\n```\n\nThe `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type.\n\n```scala\nclass CovariantContainer[+T] // Covariant container\n```\n\nThe `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A].\n\n```scala\nclass ContravariantContainer[-T] // Contravariant container\n```\n\nThese case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects:\n\n```scala\nclass Container[+T] // Covariant container\nclass Function[-T, +R] // Contravariant input, covariant output\nclass Pair[T, U <: T] // Invariant T, subtype U\n```\n\nBy using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project.", + "questions": "" + } + ], + "summary": "The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\nThe `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation.\n\nThe `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations.\n\nThe `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR.\n\nHere's an example of how some of these traits can be used together:\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special", + "files": [], + "folders": [ + { + "folderName": "collection", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection", + "files": [ + { + "fileName": "CollsUnit.scala", + "filePath": "graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala", + "summary": "The code above is a part of a project called \"special.collection\". It defines a trait called \"Colls\" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. \n\nThe \"Colls\" trait contains two other traits, \"Coll\" and \"CollBuilder\". The \"Coll\" trait defines methods that can be used to manipulate collections. These methods include \"length\", \"apply\", \"getOrElse\", \"map\", \"zip\", \"exists\", \"forall\", \"filter\", \"foldLeft\", \"indices\", \"flatMap\", \"indexOf\", \"patch\", \"updated\", \"updateMany\", \"slice\", and \"append\". Each of these methods has a corresponding method in the original non-staged class \"special.collection.Coll\". The semantics of each method are the same as in the original class. \n\nThe \"CollBuilder\" trait defines methods that can be used to create collections. These methods include \"fromItems\", \"xor\", and \"replicate\". The \"fromItems\" method creates a collection from a variable number of items. The \"xor\" method performs an exclusive or operation on two collections of bytes. The \"replicate\" method creates a collection of a given length with each element set to a given value. \n\nOverall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. \n\nExample usage of the \"Coll\" trait:\n```\nval coll: Ref[Coll[Int]] = ...\nval length: Ref[Int] = coll.length\nval firstElement: Ref[Int] = coll.apply(0)\nval secondElement: Ref[Int] = coll.getOrElse(1, 0)\nval doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2)\nval zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl)\nval exists: Ref[Boolean] = coll.exists(x => x > 5)\nval filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5)\nval sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x)\nval indices: Ref[Coll[Int]] = coll.indices\nval flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2))\nval index: Ref[Int] = coll.indexOf(5, 0)\nval patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2)\nval updatedColl: Ref[Coll[Int]] = coll.updated(0, 5)\nval updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6))\nval slicedColl: Ref[Coll[Int]] = coll.slice(0, 5)\nval appendedColl: Ref[Coll[Int]] = coll.append(otherColl)\n```\n\nExample usage of the \"CollBuilder\" trait:\n```\nval collBuilder: Ref[CollBuilder] = ...\nval coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3)\nval xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl)\nval replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0)\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner.\n\n2. What are some of the methods available in the Coll trait and what do they do?\n \n The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements.\n\n3. What is the relationship between the Colls trait and the Coll and CollBuilder traits?\n \n The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl", + "files": [ + { + "fileName": "CollsImpl.scala", + "filePath": "graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala", + "summary": "This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`.\n\nThe `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls.\n\nThe `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nHere's an example of using the `Coll` and `CollBuilder` traits:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework.", + "questions": "1. **What is the purpose of the `Coll` trait and its related classes?**\n\n The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances.\n\n2. **How does the `CollBuilder` trait work, and what is its purpose?**\n\n The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances.\n\n3. **How are the `Liftable` instances used in this code?**\n\n The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections." + } + ], + "folders": [], + "summary": "The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + } + ], + "summary": "The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package.\n\nThe `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\nThe `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls.\n\nIn the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used:\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nThis example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project.", + "questions": "" + }, + { + "folderName": "sigma", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma", + "files": [ + { + "fileName": "SigmaDslUnit.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala", + "summary": "The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. \n\nThe `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type.\n\nFor example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid.\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value.\n\nThe `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields.\n\nFinally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. \n\nOverall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "1. What is the purpose of this code?\n- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context.\n\n2. What methods are available for the AvlTree trait?\n- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair.\n\n3. What is the SigmaDslBuilder trait used for?\n- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples." + } + ], + "folders": [ + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala", + "summary": "The code above is a trait called \"WrappersModule\" that extends another trait called \"special.wrappers.WrappersModule\". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nIn this case, the purpose of the \"WrappersModule\" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable.\n\nFor example, the \"WrappersModule\" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\nThe \"WrappersModule\" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\nOverall, the \"WrappersModule\" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "1. What is the purpose of the `WrappersModule` trait?\n - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose.\n\n2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`?\n - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module.\n\n3. What other traits or classes might be part of the `special.sigma.wrappers` package?\n - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them.\n\nThe purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nFor example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library.\n\n```scala\ntrait WrappersModule {\n // Wrapper for Integers\n class IntWrapper(val value: Int) {\n def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value)\n }\n\n // Wrapper for Strings\n class StringWrapper(val value: String) {\n def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value)\n }\n}\n```\n\nThe `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs.\n\n```scala\ntrait WrappersModule {\n // Wrapper for File I/O\n class FileWrapper(val path: String) {\n def read(): String = {\n // Read file content and return as a string\n }\n\n def write(content: String): Unit = {\n // Write content to the file\n }\n }\n\n // Wrapper for Network Communication\n class NetworkWrapper(val url: String) {\n def get(): String = {\n // Send a GET request to the URL and return the response as a string\n }\n\n def post(data: String): String = {\n // Send a POST request to the URL with the given data and return the response as a string\n }\n }\n}\n```\n\nOverall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.", + "questions": "" + } + ], + "summary": "The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nFor instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.\n\n```scala\nval a: BigInt = ...\nval b: BigInt = ...\nval sum: BigInt = a + b\nval product: BigInt = a * b\n```\n\nThe `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid.\n\n```scala\nval outputBox: Box = ...\nval boxId: Array[Byte] = outputBox.id\nval boxValue: Long = outputBox.value\nval boxPropositionBytes: Array[Byte] = outputBox.propositionBytes\n```\n\nThe `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nThe `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts.\n\n```scala\nval sigmaDslBuilder: SigmaDslBuilder = ...\nval message: Array[Byte] = ...\nval hash: Array[Byte] = sigmaDslBuilder.blake2b256(message)\nval signature: Array[Byte] = ...\nval publicKey: GroupElement = ...\nval isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature)\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs.\n\nOverall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers", + "files": [ + { + "fileName": "WrappersModule.scala", + "filePath": "graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala", + "summary": "The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. \n\nThe first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. \n\nBy grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. \n\nOverall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project.", + "questions": "1. What is the purpose of this code?\n- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. \n\n2. What are the dependencies of this code?\n- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project.\n\n3. What is the relationship between the `WrappersModule` trait and the other three modules it extends?\n- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together." + } + ], + "folders": [], + "summary": "The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\nThe modules included in the `WrappersModule` trait are:\n\n1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them.\n\n2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API.\n\n3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations.\n\nHere's an example of how the `WrappersModule` trait might be used in a larger project:\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nIn this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers.", + "questions": "" + } + ], + "summary": "The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval ctx: Context = ...\nval inputs: Coll[Box] = ctx.inputs\nval outputs: Coll[Box] = ctx.outputs\nval dataInputs: Coll[Box] = ctx.dataInputs\nval currentHeight: Int = ctx.height\n```\n\nIn the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability.\n\n```scala\nimport special.wrappers.WrappersModule\n\nobject MyApp extends App with WrappersModule {\n // Use the special pre-defined functions and types from WSpecialPredefsModule\n val mySpecialValue = specialPredefs.mySpecialFunction(42)\n\n // Use the Option wrappers from WOptionsModule to handle null values\n val myOption: Option[String] = getFromDatabase(\"some_key\")\n val myValue: String = myOption.getOrElse(\"default_value\")\n\n // Use the type wrappers from WRTypesModule to work with specific types\n val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue)\n val myConvertedValue = myTypeWrapper.convertToAnotherType()\n}\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + }, + { + "folderName": "wrappers", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala", + "files": [ + { + "fileName": "WOptions.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala", + "summary": "The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values.\n\nThe WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not.\n\nThis code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used:\n\n```\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values.\n\n2. What is the relationship between this code and the rest of the project?\n It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework.\n\n3. What types of values can be used with WOption?\n WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl", + "files": [ + { + "fileName": "WOptionsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala", + "summary": "The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. \n\nThe WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. \n\nThe WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. \n\nThe WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. \n\nThe WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. \n\nThe code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. \n\nExample usage:\n\n```\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```", + "questions": "1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`?\n- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in.\n2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose?\n- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects.\n3. What is the purpose of the `WOptionAdapter` class and how is it used?\n- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary." + } + ], + "folders": [], + "summary": "The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality.\n\nThe main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait.\n\nThe `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nAdditionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`.\n\nThe `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods.\n\nFurthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait.\n\nHere's an example of how this code might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.", + "questions": "" + } + ], + "summary": "The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + }, + { + "folderName": "scalan", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan", + "files": [ + { + "fileName": "WRTypes.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala", + "summary": "This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework.\n\nThe `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type.\n\nThe `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nThis code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address.\n\nHere is an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nIn this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method.\n\n2. What is the relationship between this code and other files in the project?\n It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework.\n\n3. What is the significance of the WrappedArray import?\n The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl", + "files": [ + { + "fileName": "WRTypesImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala", + "summary": "The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities.\n\nThe WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type.\n\nThe WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object.\n\nThe WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types.\n\nThe WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object.\n\nThe WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements.\n\nThe WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph.\n\nThe WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers.", + "questions": "1. What is the purpose of the `WRType` trait and its related classes and methods?\n- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework.\n\n2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules?\n- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class.\n\n3. What is the purpose of the `LiftableRType` class and its `lift` method?\n- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter." + } + ], + "folders": [], + "summary": "The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment.\n\nThe main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nFor example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nThe `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type.\n\nThe `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nThe `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers.\n\nIn summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type.\n\nThe main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types.\n\nHere's an example of how this code could be used to define a wrapped type for non-negative integers:\n\n```scala\ntrait NonNegativeInt\nobject NonNegativeInt extends WRTypeCompanion {\n implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] {\n implicit def eA: Elem[NonNegativeInt] = this\n def name: Ref[String] = \"NonNegativeInt\"\n }\n}\n```\n\nThe `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`.\n\nHere's an example of how this code might be used:\n\n```scala\nval wrappedIntType = WRTypeCls[Int]\nval wrappedIntConst = wrappedIntType.const(42)\nval liftedWrappedInt = LiftableRType.lift(42)\nval adaptedWrappedInt = WRTypeAdapter(wrappedIntConst)\n```\n\nIn this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph.\n\nIn summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph.", + "questions": "" + }, + { + "folderName": "special", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special", + "files": [ + { + "fileName": "WSpecialPredefs.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala", + "summary": "This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. \n\nThe trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. \n\nWOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. \n\nOverall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project.", + "questions": "1. What is the purpose of this code?\n This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]].\n\n2. What is the relationship between this code and other parts of the project?\n This code is part of the special.wrappers package and is used in conjunction with the WrappersModule.\n\n3. What is the significance of the imports at the beginning of the code?\n The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait." + } + ], + "folders": [ + { + "folderName": "impl", + "folderPath": ".autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl", + "files": [ + { + "fileName": "WSpecialPredefsImpl.scala", + "filePath": "graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala", + "summary": "The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module.\n\nThe `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nOverall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "1. What is the purpose of the `WSpecialPredef` object?\n- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value.\n\n2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`?\n- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods.\n\n3. What is the purpose of the `resetContext` method?\n- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed." + } + ], + "folders": [], + "summary": "The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present.\n\nThe `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nThe `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module.\n\nIn summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present.\n\nThe `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object.\n\nThe `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities.\n\nFor example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\n```\n\nThis creates a `WOption` entity containing the value `42`.\n\nThe `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used:\n\n```scala\nval wOption = WSpecialPredef.some(42)\nval value = WSpecialPredefCompanionMethods.some(wOption)\n```\n\nThis extracts the value `42` from the `WOption` entity.\n\nIn summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\nFor instance, consider the following example:\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nIn this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic.\n\nThe `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods.\n\nThe `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types.\n\nHere's an example of how the code in the `impl` subfolder might be used:\n\n```scala\nval opt: Option[Int] = Some(5)\nval wopt: WOption[Int] = opt.toWOption\nval filtered: WOption[Int] = wopt.filter(_ > 3)\nval mapped: WOption[String] = wopt.map(_.toString)\nval value: Int = wopt.getOrElse(0)\n```\n\nIn this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value.\n\nIn summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir/src` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/graph-ir` folder and its subfolders is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\nIn the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming.\n\nFor example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes.\n\n```scala\nimport scalan._\nimport scalan.primitives._\n\ntrait MyModule extends Scalan with NumericOps with OrderingOps with Tuples {\n def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = {\n val sum = a + b\n val max = a.max(b)\n val tuple = Pair(sum, max)\n tuple\n }\n}\n```\n\nIn the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language.\n\n```scala\nval collBuilder = CollBuilder // Get an instance of CollBuilder\nval coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3\nval coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6\nval coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2\nval coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3\n```\n\nIn the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read.\n\n```scala\nval opt: WOption[Int] = ...\nval filtered = opt.filter(x => x > 0)\nval doubled = opt.map(x => x * 2)\nval value = opt.getOrElse(42)\n```\n\nOverall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Imported.json b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Imported.json new file mode 100644 index 0000000000..871fd777de --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Imported.json @@ -0,0 +1,7 @@ +{ + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Platform.json b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Platform.json new file mode 100644 index 0000000000..9f06b4720f --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/Platform.json @@ -0,0 +1,7 @@ +{ + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/summary.json b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/summary.json new file mode 100644 index 0000000000..121a0e6a52 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto/summary.json @@ -0,0 +1,24 @@ +{ + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/summary.json b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/summary.json new file mode 100644 index 0000000000..e4ecdb4e98 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/summary.json @@ -0,0 +1,34 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/scala/summary.json b/.autodoc/docs/json/interpreter/js/src/main/scala/summary.json new file mode 100644 index 0000000000..8c771c50a9 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/scala/summary.json @@ -0,0 +1,44 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/main/summary.json b/.autodoc/docs/json/interpreter/js/src/main/summary.json new file mode 100644 index 0000000000..2f36e6d3f4 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/main/summary.json @@ -0,0 +1,54 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/src/summary.json b/.autodoc/docs/json/interpreter/js/src/summary.json new file mode 100644 index 0000000000..0ec84c5109 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/src/summary.json @@ -0,0 +1,64 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src` folder, specifically in the `main` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/js/summary.json b/.autodoc/docs/json/interpreter/js/summary.json new file mode 100644 index 0000000000..7792fa8ec0 --- /dev/null +++ b/.autodoc/docs/json/interpreter/js/summary.json @@ -0,0 +1,74 @@ +{ + "folderName": "js", + "folderPath": ".autodoc/docs/json/interpreter/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src` folder, specifically in the `main` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src` folder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.json new file mode 100644 index 0000000000..a0c6959391 --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.json @@ -0,0 +1,7 @@ +{ + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.json new file mode 100644 index 0000000000..e394fd5baf --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.json @@ -0,0 +1,7 @@ +{ + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.json new file mode 100644 index 0000000000..a20a1b5e8d --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.json @@ -0,0 +1,7 @@ +{ + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.json new file mode 100644 index 0000000000..e65a530fd1 --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/summary.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/summary.json new file mode 100644 index 0000000000..7845a6b41f --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/summary.json @@ -0,0 +1,41 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/scala/summary.json b/.autodoc/docs/json/interpreter/jvm/src/main/scala/summary.json new file mode 100644 index 0000000000..94ea593490 --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/scala/summary.json @@ -0,0 +1,51 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/main/summary.json b/.autodoc/docs/json/interpreter/jvm/src/main/summary.json new file mode 100644 index 0000000000..1a88f20bd7 --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/main/summary.json @@ -0,0 +1,61 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/src/summary.json b/.autodoc/docs/json/interpreter/jvm/src/summary.json new file mode 100644 index 0000000000..060a2349cd --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/src/summary.json @@ -0,0 +1,71 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/jvm/summary.json b/.autodoc/docs/json/interpreter/jvm/summary.json new file mode 100644 index 0000000000..af38b24a1d --- /dev/null +++ b/.autodoc/docs/json/interpreter/jvm/summary.json @@ -0,0 +1,81 @@ +{ + "folderName": "jvm", + "folderPath": ".autodoc/docs/json/interpreter/jvm", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `src` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.json new file mode 100644 index 0000000000..685705d6b4 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.json new file mode 100644 index 0000000000..c5b727df59 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.json new file mode 100644 index 0000000000..9186ed378f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.json new file mode 100644 index 0000000000..b1c9edba18 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.json new file mode 100644 index 0000000000..14912d5f02 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.json new file mode 100644 index 0000000000..92d9be7a5f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.json new file mode 100644 index 0000000000..815eac68fc --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.json new file mode 100644 index 0000000000..d7a1d4c599 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/Input.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/Input.json new file mode 100644 index 0000000000..120d1546ce --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/Input.json @@ -0,0 +1,7 @@ +{ + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.json new file mode 100644 index 0000000000..15387fcb8e --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.json new file mode 100644 index 0000000000..421229064c --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.json @@ -0,0 +1,7 @@ +{ + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.json new file mode 100644 index 0000000000..a37ca41c0d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.json new file mode 100644 index 0000000000..5ef2401b06 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.json @@ -0,0 +1,7 @@ +{ + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.json new file mode 100644 index 0000000000..54f9c4d95c --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.json new file mode 100644 index 0000000000..01d28c778c --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.json @@ -0,0 +1,27 @@ +{ + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.json new file mode 100644 index 0000000000..e8986d04b2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.json new file mode 100644 index 0000000000..47c3826e39 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.json @@ -0,0 +1,7 @@ +{ + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.json new file mode 100644 index 0000000000..acd8175b08 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.json @@ -0,0 +1,24 @@ +{ + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/summary.json new file mode 100644 index 0000000000..f32efafa90 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/summary.json @@ -0,0 +1,201 @@ +{ + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.json new file mode 100644 index 0000000000..6f3b60ab6f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.json @@ -0,0 +1,7 @@ +{ + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.json new file mode 100644 index 0000000000..fc08e45cd1 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.json new file mode 100644 index 0000000000..677d7b7e44 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.json new file mode 100644 index 0000000000..d69ac5d4e6 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.json new file mode 100644 index 0000000000..074f58a1fb --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.json @@ -0,0 +1,7 @@ +{ + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.json new file mode 100644 index 0000000000..18806402bb --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.json @@ -0,0 +1,7 @@ +{ + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.json new file mode 100644 index 0000000000..612edc1fde --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.json @@ -0,0 +1,52 @@ +{ + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/org/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/summary.json new file mode 100644 index 0000000000..304032a59b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/org/summary.json @@ -0,0 +1,211 @@ +{ + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.json new file mode 100644 index 0000000000..bf3848907d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.json @@ -0,0 +1,7 @@ +{ + "fileName": "AvlTreeData.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/AvlTreeData.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.scala", + "summary": "The code defines two case classes, AvlTreeFlags and AvlTreeData, and an object, AvlTreeFlags. The AvlTreeFlags case class is used to represent the allowed operations on an AVL+ tree, which is a self-balancing binary search tree. The insertAllowed, updateAllowed, and removeAllowed fields are Boolean values that indicate whether the corresponding operation is allowed on the tree. The AvlTreeFlags object provides four predefined instances of AvlTreeFlags, namely ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These instances are used to set the allowed operations on an AVL+ tree.\n\nThe AvlTreeData case class is used to represent the data of an AVL+ tree. It contains the authenticated tree digest, treeFlags, keyLength, and valueLengthOpt fields. The authenticated tree digest is the root hash of the tree along with its height. The treeFlags field is an instance of AvlTreeFlags that specifies the allowed operations on the tree. The keyLength field is an integer that represents the length of the keys in the tree. The valueLengthOpt field is an optional integer that represents the length of the values in the tree.\n\nThe AvlTreeFlags object provides two methods, apply and serializeFlags. The apply method is used to create an instance of AvlTreeFlags from a serialized byte. The serializeFlags method is used to serialize an instance of AvlTreeFlags to a byte. The AvlTreeData object provides a serializer object that implements the SigmaSerializer trait. The serializer object is used to serialize and deserialize an instance of AvlTreeData to and from bytes.\n\nThe AvlTreeData object also provides a method, avlTreeFromDigest, that creates an instance of AvlTreeData from a given digest. The method sets the allowed operations on the tree to insertAllowed, updateAllowed, and removeAllowed. The AvlTreeData object also provides two constants, DigestSize and TreeDataSize, that represent the size of the digest and the size of the tree data, respectively. The dummy field is an instance of AvlTreeData that is used as a placeholder.", + "questions": "1. What is the purpose of the AvlTreeData class?\n- The AvlTreeData class is used to efficiently authenticate a potentially huge dataset with a key-value dictionary interface by storing only the root hash of a dynamic AVL+ tree, tree height, key length, optional value length, and access flags.\n\n2. What are the different flags available in the AvlTreeFlags object?\n- The AvlTreeFlags object has four different flags: ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These flags determine which modifications are allowed on the AVL tree.\n\n3. How is the AvlTreeData class serialized and deserialized?\n- The AvlTreeData class is serialized using the SigmaSerializer interface, which writes the authenticated tree digest, tree flags, key length, and optional value length to a byte stream. It is deserialized by reading the byte stream and reconstructing the AvlTreeData object from the serialized data." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/CostKind.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/CostKind.json new file mode 100644 index 0000000000..60ac4d20d9 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/CostKind.json @@ -0,0 +1,7 @@ +{ + "fileName": "CostKind.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/CostKind.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/CostKind.scala", + "summary": "The code defines a set of classes and traits that describe the cost of executing operations in the SigmaState project. The `CostKind` trait is an abstract class that is extended by other classes to describe different types of costs. The `FixedCost` class describes a simple fixed cost that is associated with a single operation. The `PerItemCost` class describes the cost of an operation over a collection of known length. It takes into account the cost of the operation factored out of the loop iterations, the cost associated with each chunk of items, and the number of items in a chunk. The `TypeBasedCost` trait is an abstract class that describes the cost of an operation that depends on the type of the input. Finally, the `DynamicCost` object describes the cost of an operation that cannot be described using a fixed set of parameters.\n\nThe purpose of this code is to provide a way to estimate the cost of executing operations in the SigmaState project. This information can be used to optimize the execution of the project by identifying operations that are particularly expensive and finding ways to reduce their cost. For example, if an operation has a high fixed cost, it may be beneficial to avoid using that operation in situations where it is not strictly necessary.\n\nHere is an example of how the `PerItemCost` class can be used to compute the cost of an operation:\n\n```\nval baseCost = JitCost(10)\nval perChunkCost = JitCost(5)\nval chunkSize = 100\nval cost = PerItemCost(baseCost, perChunkCost, chunkSize)\nval nItems = 500\nval totalCost = cost.cost(nItems)\n```\n\nIn this example, we create a `PerItemCost` object with a base cost of 10, a per-chunk cost of 5, and a chunk size of 100. We then compute the cost of an operation that processes 500 items. The `cost` method of the `PerItemCost` object computes the total cost of the operation based on the number of items and the chunk size. The `totalCost` variable contains the computed cost.", + "questions": "1. What is the purpose of the `CostKind` class and its subclasses?\n- The `CostKind` class and its subclasses are used to describe the cost of different operations in the `sigmastate` package.\n\n2. What is the difference between `FixedCost` and `PerItemCost`?\n- `FixedCost` describes the cost of a single operation with a fixed cost, while `PerItemCost` describes the cost of an operation over a collection of known length, factoring in the cost of each chunk of items.\n\n3. Why is there an override of `hashCode()` in the `PerItemCost` class?\n- The override of `hashCode()` in the `PerItemCost` class is necessary to avoid JitCost instances allocation in the default generated code for case class." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.json new file mode 100644 index 0000000000..b67dd855b1 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.json @@ -0,0 +1,7 @@ +{ + "fileName": "DataValueComparer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/DataValueComparer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.scala", + "summary": "The `DataValueComparer` object in the given code provides an implementation for comparing two arbitrary ErgoTree data types for equality. It focuses on the high-level purpose of the code and how it may be used in the larger project. The comparison is performed recursively, descending on the value structure regardless of the depth. However, every step costs are accrued to `E.coster`, and the defined limit `E.coster.costLimit` is checked. Thus, the execution of this method is limited and always finishes at least as fast as the costLimit prescribes.\n\nThe `equalDataValues` method is the main function for comparing two data values. It dispatches on the type of the left value and then performs the specific comparison. The method handles various data types, such as numbers, booleans, collections, tuples, group elements, big integers, sigma properties, AVL trees, options, pre-headers, headers, and boxes.\n\nFor example, when comparing two collections, the `equalColls_Dispatch` method is called, which dispatches to the most efficient implementation depending on the actual type `A`. Similarly, when comparing two SigmaBoolean trees, the `equalSigmaBoolean` method is called.\n\nThe code also defines various cost constants for different types of comparisons, which are part of the consensus protocol and cannot be changed without forking. These constants are used to calculate the cost of each comparison operation, ensuring that the comparison process is efficient and adheres to the protocol's cost limits.\n\nOverall, the `DataValueComparer` object provides a comprehensive and efficient way to compare ErgoTree data types, which is essential for various operations in the larger project.", + "questions": "1. **Question**: What is the purpose of the `DataValueComparer` object and its methods?\n **Answer**: The `DataValueComparer` object provides an implementation for comparing two arbitrary ErgoTree data types for equality. It contains various methods for comparing different data types, such as collections, tuples, group elements, big integers, etc., and takes into account the cost of each comparison operation.\n\n2. **Question**: How does the cost of comparison operations affect the execution of the code?\n **Answer**: The cost of comparison operations is used to limit the execution time and resources consumed by the code. The ErgoTreeEvaluator keeps track of the accrued costs during the execution, and if the cost limit is reached, the execution is stopped. This ensures that the code execution is always within the defined limits and prevents potential denial-of-service attacks.\n\n3. **Question**: How does the `equalDataValues` method handle different data types and their comparisons?\n **Answer**: The `equalDataValues` method uses pattern matching to dispatch the comparison based on the type of the left value. It then performs the specific comparison for that data type, recursively descending on the value structure. The method also keeps track of the cost of each comparison step and checks against the defined cost limit to ensure the execution stays within the allowed bounds." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.json new file mode 100644 index 0000000000..3eabfcde5f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.json @@ -0,0 +1,7 @@ +{ + "fileName": "InterpreterReflection.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.scala", + "summary": "The `InterpreterReflection` object in the given code is part of a larger project that deals with the evaluation of ErgoTree scripts. ErgoTree is a language used to define spending conditions in the Ergo blockchain platform. This object is responsible for registering various classes, constructors, and methods related to ErgoTree script evaluation.\n\nThe code registers classes like `AND`, `ArithOp`, `AtLeast`, `BinAnd`, `BinOr`, `BinXor`, `BoolToSigmaProp`, `ByteArrayToBigInt`, and many others. These classes represent various operations and data structures used in ErgoTree scripts. For each class, the code registers one or more constructors using the `mkConstructor` method. These constructors are responsible for creating instances of the respective classes.\n\nAdditionally, the code registers methods for some classes like `SAvlTree`, `SCollection`, and `SGlobal`. These methods are used to perform various operations on instances of the respective classes. For example, the `SAvlTree` class has methods like `update_eval`, `contains_eval`, `get_eval`, `getMany_eval`, `remove_eval`, and `insert_eval` registered. These methods are used to perform operations on AVL trees, which are a data structure used in ErgoTree scripts.\n\nIn summary, the `InterpreterReflection` object is responsible for registering classes, constructors, and methods related to ErgoTree script evaluation. These registered components are used in the larger project to evaluate ErgoTree scripts and perform various operations on the Ergo blockchain platform.", + "questions": "1. **Question**: What is the purpose of the `InterpreterReflection` object and how is it used in the code?\n **Answer**: The `InterpreterReflection` object is used to register class entries, constructors, and methods for various classes in the project. This is done to enable reflection-based operations on these classes, such as creating instances, invoking methods, and accessing properties.\n\n2. **Question**: How are the registered class entries, constructors, and methods used in the code?\n **Answer**: The registered class entries, constructors, and methods are used to perform reflection-based operations on the classes. This allows for dynamic creation of instances, invocation of methods, and access to properties at runtime, without knowing the exact class or method signatures at compile time.\n\n3. **Question**: What is the purpose of the `registerClassEntry` method and how is it used in the code?\n **Answer**: The `registerClassEntry` method is used to register a class entry along with its constructors and methods for reflection-based operations. It takes the class, an array of constructors, and a map of methods as arguments. This method is called multiple times in the `InterpreterReflection` object to register various classes and their constructors and methods for reflection-based operations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/JitCost.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/JitCost.json new file mode 100644 index 0000000000..de4a5e11af --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/JitCost.json @@ -0,0 +1,7 @@ +{ + "fileName": "JitCost.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/JitCost.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/JitCost.scala", + "summary": "The code defines a case class called JitCost, which represents cost estimation computed by JITC interpreter. The JITC costs use 10x more accurate scale compared to block cost values. The purpose of this class is to provide a way to perform arithmetic operations on cost values and convert them between JITC and block cost scales.\n\nThe JitCost class has a private constructor and a private value field, which can only be accessed within the sigmastate package. This ensures that the JitCost instances can only be created and manipulated within the package, which is the intended scope of this class.\n\nThe JitCost class provides several methods for performing arithmetic operations on cost values. The `+` method adds two cost values, the `*` method multiplies a cost value by an integer, and the `/` method divides a cost value by an integer. These methods return a new JitCost instance with the result of the operation.\n\nThe JitCost class also provides two comparison methods, `>` and `>=`, which compare the value of two JitCost instances using the normal Int ordering.\n\nFinally, the JitCost class provides a method called `toBlockCost`, which scales a JitCost value back to block cost value. This method divides the JitCost value by 10 and returns the result as an integer.\n\nThe JitCost object provides a companion method called `fromBlockCost`, which scales a block cost value to the JitCost scale. This method multiplies the block cost value by 10 and returns a new JitCost instance with the result.\n\nOverall, the JitCost class and its companion object provide a convenient way to perform arithmetic operations on cost values and convert them between JITC and block cost scales. This functionality can be used in the larger project to optimize the cost of executing smart contracts on the blockchain. For example, the JitCost values can be used to estimate the gas cost of executing a smart contract and optimize the contract code accordingly.", + "questions": "1. What is the purpose of the JitCost class?\n- The JitCost class represents cost estimation computed by JITC interpreter and uses a more accurate scale than block cost values.\n\n2. What methods are available in the JitCost class?\n- The JitCost class has methods for adding, multiplying, and dividing cost values, as well as comparing values using normal Int ordering. It also has a method for scaling JitCost back to block cost value.\n\n3. What is the purpose of the JitCost object?\n- The JitCost object has a method for scaling block cost to the JitCost scale, which is the inverse of the toBlockCost method in the JitCost class." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/Operations.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/Operations.json new file mode 100644 index 0000000000..26d30c4947 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/Operations.json @@ -0,0 +1,7 @@ +{ + "fileName": "Operations.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/Operations.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/Operations.scala", + "summary": "This code is part of the SigmaState package and defines a set of operations that can be used in the larger project. The `Operations` object contains a collection of `InfoObject` traits, each representing a specific operation. These operations are alphabetically sorted and generated by the `GenInfoObjects` tool.\n\nEach `InfoObject` contains a sequence of `ArgInfo` objects, which represent the arguments required for the operation. For example, the `ANDInfo` object represents the logical AND operation and has a single argument `conditionsArg` representing the conditions to be AND-ed together.\n\nHere are some examples of operations and their arguments:\n\n- `AppendInfo`: Represents the append operation and has two arguments, `thisArg` and `otherArg`.\n- `ApplyInfo`: Represents the apply operation and has two arguments, `funcArg` and `argsArg`.\n- `AtLeastInfo`: Represents the atLeast operation and has two arguments, `boundArg` and `childrenArg`.\n- `BinAndInfo`: Represents the binary AND operation and has two arguments, `leftArg` and `rightArg`.\n\nThese operations can be used in the larger project to perform various tasks, such as mathematical operations, logical operations, and data manipulation. For example, the `PlusInfo` operation can be used to add two numbers, while the `SliceInfo` operation can be used to extract a portion of a collection.\n\nIn summary, this code provides a collection of operations that can be used in the larger project for various purposes. Each operation is represented by an `InfoObject` containing the necessary argument information, making it easy to understand and use these operations in the project.", + "questions": "1. **Question**: What is the purpose of the `Operations` object and its nested objects?\n **Answer**: The `Operations` object contains a collection of nested objects representing various operations, each with their respective argument information. These objects are used to store information about the operations and their arguments, which can be useful for code generation, documentation, or other purposes.\n\n2. **Question**: How are the operations sorted in the `Operations` object?\n **Answer**: The operations are sorted alphabetically by their names in the `Operations` object.\n\n3. **Question**: How can a developer use the `Operations` object and its nested objects in their code?\n **Answer**: A developer can use the `Operations` object and its nested objects to access information about the operations and their arguments. This can be useful for generating code, documentation, or for other purposes where having structured information about the operations is needed." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/SigSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/SigSerializer.json new file mode 100644 index 0000000000..cbccf53a4a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/SigSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/SigSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/SigSerializer.scala", + "summary": "The `SigSerializer` class contains the implementation of signature (aka proof) serialization. It provides two main methods: `toProofBytes` and `parseAndComputeChallenges`. \n\nThe `toProofBytes` method takes an `UncheckedTree` as input and recursively traverses the given node to serialize challenges and prover messages to the given writer. The output is an array of bytes containing all the serialized challenges and prover messages. This method is used to serialize the proof bytes for a given `UncheckedTree`.\n\nThe `parseAndComputeChallenges` method takes a sigma proposition `exp` and a proof as input and extracts challenges from the proof. It performs a top-down traversal of the tree and obtains the challenges for the children of every non-leaf node by reading them from the proof or computing them. For every leaf node, it reads the response `z` provided in the proof. The output is an instance of `UncheckedTree`, which is either `NoProof` or `UncheckedSigmaTree`. This method is used to parse the proof bytes and compute the challenges for a given `UncheckedTree`.\n\nThe `SigSerializer` class also defines some constants and helper methods used in the serialization process. For example, it defines the size of challenge in Sigma protocols, in bits, and the number of bytes to represent any group element as a byte array. It also defines the cost of parsing `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` nodes from proof bytes, the cost of parsing `GF2_192_Poly` from proof bytes, and the cost of evaluating a polynomial.\n\nOverall, the `SigSerializer` class is an important component of the larger project as it provides the implementation of signature serialization and parsing, which is crucial for verifying the correctness of a given proof.", + "questions": "1. What is the purpose of the `SigSerializer` class?\n- The `SigSerializer` class contains implementation of signature (aka proof) serialization and provides methods to serialize and deserialize sigma propositions and commitments.\n\n2. What is the `toProofBytes` method used for?\n- The `toProofBytes` method recursively traverses a given node and serializes challenges and prover messages to a given writer. It returns the proof bytes containing all the serialized challenges and prover messages.\n\n3. What is the purpose of the `parseAndComputeChallenges` method?\n- The `parseAndComputeChallenges` method is used to obtain the challenges for the children of every non-leaf node by reading them from the proof or computing them in a top-down traversal of the tree. It also reads the response z provided in the proof for every leaf node. The method returns an instance of `UncheckedTree` which can be either `NoProof` or `UncheckedSigmaTree`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.json new file mode 100644 index 0000000000..22848c783e --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.json @@ -0,0 +1,7 @@ +{ + "fileName": "UncheckedTree.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/UncheckedTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.scala", + "summary": "This code defines a set of classes and traits that represent an unchecked proof tree for a Sigma protocol. The proof tree is a data structure that represents a proof of knowledge of a secret value without revealing the value itself. The proof tree is constructed by a prover and verified by a verifier. The proof tree consists of nodes that represent the prover's commitments and responses to challenges issued by the verifier. The verifier checks the proof tree by verifying that the commitments and responses satisfy certain properties that depend on the protocol being used.\n\nThe main classes and traits defined in this code are:\n\n- UncheckedTree: a trait that represents a node in an unchecked proof tree.\n- NoProof: an object that represents an empty proof tree.\n- UncheckedSigmaTree: a trait that extends UncheckedTree and adds a challenge field.\n- UncheckedConjecture: a trait that extends UncheckedSigmaTree and represents a conjecture node in the proof tree. A conjecture node represents a logical conjunction or disjunction of its children nodes.\n- UncheckedLeaf: a trait that extends UncheckedSigmaTree and represents a leaf node in the proof tree. A leaf node represents a commitment and response to a challenge issued by the verifier.\n- UncheckedSchnorr: a case class that extends UncheckedLeaf and represents a leaf node for a Schnorr protocol. A Schnorr protocol is a simple Sigma protocol that proves knowledge of a discrete logarithm.\n- UncheckedDiffieHellmanTuple: a case class that extends UncheckedLeaf and represents a leaf node for a Diffie-Hellman protocol. A Diffie-Hellman protocol is a Sigma protocol that proves knowledge of a tuple of discrete logarithms.\n- CAndUncheckedNode: a case class that extends UncheckedConjecture and represents a conjunction node in the proof tree.\n- COrUncheckedNode: a case class that extends UncheckedConjecture and represents a disjunction node in the proof tree.\n- CThresholdUncheckedNode: a case class that extends UncheckedConjecture and represents a threshold node in the proof tree. A threshold node represents a logical threshold of its children nodes.\n\nThe purpose of this code is to provide a data structure for representing an unchecked proof tree for a Sigma protocol. The proof tree can be constructed by a prover and verified by a verifier. The proof tree can be used in the larger project to implement Sigma protocols for various cryptographic applications, such as anonymous credentials, ring signatures, and zero-knowledge proofs. For example, the Schnorr protocol can be used to implement a signature scheme, where the prover proves knowledge of a secret key without revealing the key itself. The Diffie-Hellman protocol can be used to implement a key exchange protocol, where two parties can agree on a shared secret key without revealing the key itself. The conjunction and disjunction nodes can be used to implement logical expressions, such as AND and OR gates, in a circuit that evaluates a boolean function. The threshold node can be used to implement a threshold signature scheme, where a group of signers can jointly sign a message if and only if a certain number of them participate in the signing process.", + "questions": "1. What is the purpose of the `UncheckedTree` trait and its subclasses?\n- The `UncheckedTree` trait and its subclasses define the structure of an unchecked proof tree, which is used in the Sigma protocol for proving and verifying statements about cryptographic primitives.\n\n2. What is the difference between `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple`?\n- `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` are both subclasses of `UncheckedLeaf` and represent different types of SigmaBoolean propositions. `UncheckedSchnorr` is used for proving knowledge of a discrete logarithm, while `UncheckedDiffieHellmanTuple` is used for proving knowledge of a Diffie-Hellman tuple.\n\n3. What is the purpose of the `CThresholdUncheckedNode` class and its `polynomialOpt` field?\n- The `CThresholdUncheckedNode` class represents a threshold conjecture in the proof tree, where a certain number of child nodes must be satisfied for the conjecture to be true. The `polynomialOpt` field is an optional polynomial used in the threshold signature scheme, which can be used to optimize the verification process." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.json new file mode 100644 index 0000000000..82b508e268 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.json @@ -0,0 +1,7 @@ +{ + "fileName": "UnprovenTree.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/UnprovenTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.scala", + "summary": "The code defines a set of data types and traits that represent a proof tree used by the prover in the Sigma protocol. The proof tree is a tree-like structure that represents a set of Sigma-protocol statements to be proven. The tree is constructed by the prover and is used to generate a proof that can be verified by the verifier.\n\nThe code defines several data types that represent the nodes of the proof tree. The `ProofTree` trait is the base trait for all nodes in the tree. The `ProofTreeLeaf` trait represents a leaf node in the tree, which contains a Sigma-protocol statement to be proven and an optional commitment. The `ProofTreeConjecture` trait represents a non-leaf node in the tree, which contains a set of child nodes and a type of conjecture (AND, OR, or Threshold).\n\nThe `UnprovenTree` trait represents an unproven node in the tree, which contains a Sigma-protocol statement to be proven, a position in the tree, and an optional challenge. The `UnprovenLeaf` trait represents an unproven leaf node in the tree, which contains a Sigma-protocol statement to be proven, an optional commitment, a position in the tree, and an optional challenge. The `UnprovenConjecture` trait represents an unproven non-leaf node in the tree, which contains a set of child nodes, a type of conjecture, a position in the tree, and an optional challenge.\n\nThe `CAndUnproven`, `COrUnproven`, and `CThresholdUnproven` case classes represent unproven nodes in the tree for the AND, OR, and Threshold conjectures, respectively. The `UnprovenSchnorr` and `UnprovenDiffieHellmanTuple` case classes represent unproven leaf nodes in the tree for the Schnorr and Diffie-Hellman Tuple Sigma-protocols, respectively.\n\nThe `FiatShamirTree` object provides a method `toBytes` that converts the proof tree to a byte array for input to the Fiat-Shamir hash function. The method serializes the tree in a way that it can be unambiguously parsed and restored given the array. For each non-leaf node, the string contains its type (OR or AND). For each leaf node, the string contains the Sigma-protocol statement being proven and the commitment. The string does not contain information on whether a node is marked \"real\" or \"simulated\", and does not contain challenges, responses, and/or the real/simulated flag for any node.\n\nOverall, this code provides the necessary data types and serialization methods to represent and serialize a proof tree used in the Sigma protocol. This can be used in the larger project to generate and verify proofs for various Sigma-protocol statements.", + "questions": "1. What is the purpose of the `ProofTree` hierarchy and how is it used in the project?\n \n The `ProofTree` hierarchy is used to represent a proof tree used by the prover in the project. It consists of `ProofTreeLeaf` and `ProofTreeConjecture` traits, which are extended by concrete classes representing different types of nodes in the tree. The tree is used to encode the position of a node in a tree, its sigma-protocol statement to be proven, and whether the node represents a simulated sigma-protocol. \n\n2. What is the purpose of the `NodePosition` class and how is it used in the project?\n \n The `NodePosition` class is used to encode the position of a node in a tree in the project. It is used to associate a hint with a position in the tree, which is used during evaluation. The position is encoded as a sequence of integers, where each integer represents the index of a child node in the parent node. \n\n3. What is the purpose of the `FiatShamirTree` object and how is it used in the project?\n \n The `FiatShamirTree` object is used to convert a proof tree to a byte array for input to the Fiat-Shamir hash function in the project. It provides a `toBytes` method that takes a `ProofTree` and a `SigmaByteWriter` and serializes the tree to the writer. It also provides constants representing the cost of serializing different types of nodes in the tree." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.json new file mode 100644 index 0000000000..6f6e39b9c9 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.json @@ -0,0 +1,7 @@ +{ + "fileName": "BcDlogGroup.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala", + "summary": "The code defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. The class is used to perform mathematical operations on group elements, such as exponentiation, multiplication, and inversion. The purpose of this class is to provide a common interface for different types of discrete logarithm groups, which can be used in cryptographic protocols.\n\nThe class has several properties, including the modulus of the field, the order of the group, and the maximum length in bytes of a string to be converted to a group element of this group. It also has a generator, which is a group element that generates the entire group, and an identity element, which is the element that does not change any other element when multiplied by it.\n\nThe class has several methods, including exponentiation, multiplication, and inversion of group elements. It also has a method for creating a random member of the group, checking if the order of the group is greater than a given number of bits, and computing the product of several exponentiations of the same base and distinct exponents.\n\nThe class has a nested class called GroupElementsExponentiations, which performs the actual work of pre-computation of the exponentiations for one base. It is composed of two main elements: the group element for which the optimized computations are built for, called the base, and a vector of group elements that are the result of exponentiations of order 1, 2, 4, 8, etc. The constructor creates a map structure in memory and then calculates the exponentiations of order 1, 2, 4, 8 for the given base and saves them in the map.\n\nThe class also has a map for multExponentiationsWithSameBase calculations, which is used to compute the product of several exponentiations of the same base and distinct exponents more quickly by keeping in memory the result of h1, h2, h4, h8, etc. and using it in the calculation.\n\nFinally, the code defines an object called SecP256K1Group, which is an instance of the BcDlogGroup class with a specific cryptographic context. This object can be used in cryptographic protocols that require a discrete logarithm group with a specific context.", + "questions": "1. What is the purpose of the `GroupElementsExponentiations` class?\n- The `GroupElementsExponentiations` class performs pre-computation of exponentiations for a given base and saves them in a map structure in memory to optimize future exponentiation calculations.\n\n2. What is the significance of the `k` variable?\n- The `k` variable represents the maximum length in bytes of a string that can be converted to a Group Element of this group. It is calculated based on the modulus of the field and is used for encoding and decoding binary strings.\n\n3. What is the purpose of the `exponentiationsCache` map?\n- The `exponentiationsCache` map is used to store pre-computed exponentiations for a given base, so that they can be reused in future exponentiation calculations for the same base. This optimization can significantly speed up exponentiation calculations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.json new file mode 100644 index 0000000000..1d5ad815a9 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.json @@ -0,0 +1,7 @@ +{ + "fileName": "CryptoConstants.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala", + "summary": "The code above defines a set of constants and functions related to cryptography for the SigmaState project. The purpose of this code is to provide a set of tools for secure communication and data transfer within the project. \n\nThe `CryptoConstants` object defines several constants related to the cryptographic operations used in the project. The `EncodedGroupElementLength` constant defines the length of the encoded group element in bytes. The `dlogGroup` constant defines the elliptic curve used in the project, which is the SecP256K1 curve. The `secureRandom` constant defines a secure random number generator based on the elliptic curve. The `groupSizeBits` constant defines the size of the group in bits, which is 256 bits. The `groupSize` constant defines the size of the group in bytes, which is 32 bytes. The `groupOrder` constant defines the order of the group, which is a BigInteger. The `hashLengthBits` constant defines the length of the hash function used in the signature scheme, which is 256 bits. The `hashLength` constant defines the length of the hash function in bytes, which is 32 bytes. The `soundnessBits` constant defines the size of the challenge in Sigma protocols, which is 192 bits. \n\nThe `secureRandomBytes` function generates a secure random byte array of a specified length using the `secureRandom` constant defined above. \n\nOverall, this code provides a set of constants and functions that are used throughout the SigmaState project for secure communication and data transfer. For example, the `secureRandomBytes` function can be used to generate a secure random key for encryption or decryption. The `groupSize` constant can be used to ensure that data is properly encoded and decoded for transfer within the project. The `hashLength` constant can be used to ensure that signatures are properly generated and verified.", + "questions": "1. What is the purpose of this code?\n- This code defines constants and types related to cryptography for the SigmaState project.\n\n2. What cryptographic algorithms or protocols are being used?\n- The code uses the SecP256K1 elliptic curve group, the Blake2b hash function, and Sigma protocols.\n\n3. What is the significance of the `soundnessBits` variable?\n- `soundnessBits` is the size of the challenge in Sigma protocols, and it must be less than the group size in bits. Changing its value requires implementing polynomials over a different field and changing related code." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.json new file mode 100644 index 0000000000..91186474ea --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.json @@ -0,0 +1,7 @@ +{ + "fileName": "CryptoFunctions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala", + "summary": "The code above is a part of the SigmaState project and is located in the sigmastate.basics package. The purpose of this code is to provide a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. \n\nThe `soundnessBytes` value is calculated by dividing the `CryptoConstants.soundnessBits` value by 8. This value is used to determine the number of bytes that should be returned in the resulting hash. \n\nThe `hashFn` method uses the Blake2b256 hash function to generate a 32-byte hash of the input byte array. It then creates a new byte array with a length equal to `soundnessBytes` and copies the first `soundnessBytes` bytes of the hash into the new array. This new array is then returned as the result of the method. \n\nThis code can be used in the larger project to provide a secure and efficient way to hash data. It can be used to hash passwords, user data, and other sensitive information. The resulting hash can be stored in a database or used for authentication purposes. \n\nHere is an example of how this code can be used:\n\n```scala\nval input = \"password123\".getBytes(\"UTF-8\")\nval hashedInput = CryptoFunctions.hashFn(input)\nprintln(s\"Hashed input: ${hashedInput.mkString}\")\n```\n\nThis code takes the string \"password123\" and converts it to a byte array using the UTF-8 encoding. It then passes this byte array to the `hashFn` method, which returns a new byte array containing the first `soundnessBytes` bytes of the hash. Finally, the resulting hash is printed to the console.", + "questions": "1. What is the purpose of the `CryptoFunctions` object?\n- The `CryptoFunctions` object contains a method for hashing an input into a 32-byte hash and returning the first `soundnessBytes` bytes of the hash in a new array.\n\n2. What is the value of `soundnessBytes` and how is it calculated?\n- The value of `soundnessBytes` is calculated by dividing `CryptoConstants.soundnessBits` by 8. It is a lazy val, meaning it is only calculated once and then stored for future use.\n\n3. What hashing algorithm is used in the `hashFn` method?\n- The `hashFn` method uses the Blake2b256 hashing algorithm from the `scorex.crypto.hash` package to hash the input." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.json new file mode 100644 index 0000000000..777ae347f4 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.json @@ -0,0 +1,7 @@ +{ + "fileName": "DLogProtocol.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala", + "summary": "The `DLogProtocol` object contains the implementation of the discrete logarithm signature protocol. The protocol is used to prove knowledge of a secret value `w` such that `g^w = value`, where `g` is a generator of a group and `value` is a public key. The protocol consists of three messages: the first message is a commitment to a random value `r`, the second message is a response `z` computed using the secret value `w`, and the third message is a proof that the response `z` is correct.\n\nThe `DLogSigmaProtocol` trait defines the interface for the discrete logarithm sigma protocol. The `ProveDlog` case class represents a public key of the protocol. It extends the `SigmaProofOfKnowledgeLeaf` trait, which is a leaf node of the sigma protocol tree. The `ProveDlog` object contains a `PropositionCode` that identifies the type of the proposition.\n\nThe `DLogProverInput` case class represents the private input of the protocol. It contains the secret value `w`. The `FirstDLogProverMessage` case class represents the first message of the protocol, which is a commitment to a random value `r`. The `SecondDLogProverMessage` case class represents the second message of the protocol, which is a response `z` computed using the secret value `w`.\n\nThe `DLogInteractiveProver` object contains functions to generate the first and second messages of the protocol, as well as to simulate the protocol. The `firstMessage` function generates a random value `r` and computes the first message `a = g^r`, where `g` is a generator of the group. The `secondMessage` function computes the second message `z = r + ew mod q`, where `e` is the challenge from the verifier and `q` is the order of the group. The `simulate` function simulates the protocol by generating a random value `z` and computing the first message `a = g^z * h^(-e)`, where `h` is the public key and `e` is the challenge.\n\nThe `computeCommitment` function computes the commitment to randomness based on the verifier's challenge and the prover's response. It computes `a = g^z/h^e`, where `g` is the generator of the group, `h` is the public key, `z` is the response, and `e` is the challenge.\n\nOverall, the `DLogProtocol` object provides the implementation of the discrete logarithm signature protocol, which can be used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization.", + "questions": "1. What is the purpose of the `DLogProtocol` object?\n- The `DLogProtocol` object contains implementations of the discrete logarithm signature protocol, including helper functions for generating random secrets and computing commitments.\n\n2. What is the `ProveDlog` case class used for?\n- The `ProveDlog` case class represents a public key in the discrete logarithm signature protocol and is used to construct a new `SigmaBoolean` value.\n\n3. What is the purpose of the `DLogInteractiveProver` object?\n- The `DLogInteractiveProver` object contains functions for generating the first and second messages of the discrete logarithm signature protocol, as well as simulating the protocol and computing the prover's commitment to randomness." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.json new file mode 100644 index 0000000000..277678c009 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.json @@ -0,0 +1,7 @@ +{ + "fileName": "DiffieHellmanTupleProtocol.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala", + "summary": "The code defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme. The DHT protocol is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The protocol is based on the discrete logarithm problem, which is believed to be hard to solve in practice. The Sigma protocol is a type of zero-knowledge proof that allows one party (the prover) to convince another party (the verifier) that they know a secret without revealing the secret itself.\n\nThe code defines several classes and methods that implement the DHT Sigma protocol. The `DiffieHellmanTupleProtocol` trait defines the interface for the protocol, which includes two message types (`FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage`) and a private input type (`DiffieHellmanTupleProverInput`). The `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points (`g`, `h`, `u`, and `v`). The `DiffieHellmanTupleInteractiveProver` object defines methods for generating the two messages required by the protocol (`firstMessage` and `secondMessage`) and for simulating the protocol (`simulate`). The `computeCommitment` method computes the prover's commitment to randomness based on the verifier's challenge and the prover's response.\n\nThe `DiffieHellmanTupleProverInput` case class represents the private input to the protocol, which consists of a random value `w` and the public input `commonInput`. The `random` method generates a random private input by selecting a random value `w` and computing the corresponding elliptic curve points `u` and `v` based on the public input `commonInput`.\n\nThe `FirstDiffieHellmanTupleProverMessage` case class represents the first message sent by the prover to the verifier. The message consists of two elliptic curve points `a` and `b`, which are computed as `a = g^r` and `b = h^r`, where `r` is a random value selected by the prover.\n\nThe `SecondDiffieHellmanTupleProverMessage` case class represents the second message sent by the prover to the verifier. The message consists of a single value `z`, which is computed as `z = r + ew mod q`, where `r` is the random value selected by the prover, `e` is the verifier's challenge, `w` is the prover's private input, and `q` is the order of the elliptic curve group.\n\nThe `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points `g`, `h`, `u`, and `v`. The `size` method returns the number of nodes in the corresponding Sigma tree, which is four in this case. The `ProveDHTupleProp` object provides an extractor for matching SigmaProp values and extracting `ProveDHTuple` objects from them.\n\nOverall, this code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project. The `DiffieHellmanTupleInteractiveProver` object can be used to generate the two messages required by the protocol, while the `computeCommitment` method can be used to compute the prover's commitment to randomness. The `ProveDHTuple` case class represents the public input to the protocol, which can be used to construct a new `SigmaProp` value representing the public key of the DHT signature scheme.", + "questions": "1. What is the purpose of the `DiffieHellmanTupleProtocol` trait and its associated case classes?\n- The `DiffieHellmanTupleProtocol` trait defines the structure of a Sigma protocol for proving knowledge of a Diffie-Hellman tuple. The `FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage` case classes represent the messages sent by the prover during the protocol.\n\n2. What is the `ProveDHTuple` case class used for?\n- The `ProveDHTuple` case class represents the public input to the Diffie-Hellman tuple protocol, consisting of four elliptic curve points. It also implements the `SigmaProofOfKnowledgeLeaf` trait, which defines methods for verifying the protocol.\n\n3. What is the purpose of the `DiffieHellmanTupleInteractiveProver` object?\n- The `DiffieHellmanTupleInteractiveProver` object contains methods for generating the messages sent by the prover during the Diffie-Hellman tuple protocol, as well as simulating the protocol for testing purposes. It also includes a method for computing the prover's commitment to randomness based on the verifier's challenge and the prover's response." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.json new file mode 100644 index 0000000000..ee6b40e64b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.json @@ -0,0 +1,7 @@ +{ + "fileName": "DlogGroup.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala", + "summary": "The code defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. The discrete logarithm problem is a mathematical problem that involves finding a unique integer x given a generator g of a finite group G and a random element h in G such that g^x = h. In cryptography, groups for which the discrete logarithm problem is assumed to be hard are of interest. The most known groups of that kind are some Elliptic curve groups.\n\nThe DlogGroup trait has several methods that are used to perform operations on the group. The generator method returns the generator of the Dlog group, which is an element of the group such that, when written multiplicatively, every element of the group is a power of the generator. The order method returns the order of the Dlog group, and the identity method returns the identity element of the Dlog group.\n\nThe trait also has methods for performing operations on group elements. The inverseOf method calculates the inverse of a given group element, and the exponentiate method raises a base group element to the exponent. The multiplyGroupElements method multiplies two group elements.\n\nThe trait also has methods for creating random elements and generators of the Dlog group. The createRandomElement method creates a random member of the Dlog group, and the createRandomGenerator method creates a random generator of the Dlog group.\n\nThe exponentiateWithPreComputedValues method computes the product of several exponentiations of the same base and distinct exponents. An optimization is used to compute it more quickly by keeping in memory the result of h1, h2, h4,h8,... and using it in the calculation. The endExponentiateWithPreComputedValues method cleans up any resources used by exponentiateWithPreComputedValues for the requested base.\n\nFinally, the maxLengthOfByteArrayForEncoding method returns the maximum length of a string to be encoded to a Group Element of this group. Any string of length k has a numeric value that is less than (p-1)/2 - 1. k is the maximum length a binary string is allowed to be in order to encode the said binary string to a group element and vice-versa. If a string exceeds the k length, it cannot be encoded.\n\nOverall, the DlogGroup trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups.", + "questions": "1. What is the purpose of this code?\n- This code defines the general interface for the discrete logarithm prime-order group and provides methods for performing various operations on the group.\n\n2. What is the significance of the `ElemType` type parameter?\n- `ElemType` is a concrete type that represents an element of the Dlog group. It is used throughout the interface to specify the type of input and output for various methods.\n\n3. What is the purpose of the `createRandomGenerator` method?\n- The `createRandomGenerator` method generates a random generator of the Dlog group. In prime order groups, every element except the identity is a generator, so this method generates a random element and checks if it is the identity. If it is, it generates a new random element until a non-identity element is found." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.json new file mode 100644 index 0000000000..842d6d105b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaProtocolFunctions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala", + "summary": "The code provided is a part of the SigmaState project and contains a set of traits and classes that abstract Sigma protocols. Sigma protocols are a type of cryptographic protocol that allows two parties to prove knowledge of a secret without revealing the secret itself. The purpose of this code is to provide functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization.\n\nThe `TranscriptMessage` trait is an abstract trait that represents a message sent between two parties during a Sigma protocol interaction. The `ProverMessage` and `VerifierMessage` traits extend `TranscriptMessage` and represent messages sent by the prover and verifier, respectively. The `VerifierMessage` object contains a `Challenge` type that represents a challenge from the verifier in a Sigma protocol.\n\nThe `FirstProverMessage` and `SecondProverMessage` traits extend `ProverMessage` and represent the first and second messages sent by the prover in a Sigma protocol. These messages are denoted as `a` and `z` in the Sigma protocol.\n\nThe `SigmaProtocol` trait is an abstract template for Sigma protocols. It defines two associated types, `A` and `Z`, which represent the first and second prover messages, respectively. The `SigmaProtocolCommonInput` trait represents the common input to a Sigma protocol, and the `SigmaProtocolPrivateInput` trait represents the private input to a Sigma protocol.\n\nOverall, this code provides a foundation for creating and interacting with Sigma protocols in a secure and efficient manner. It can be used as a building block for larger projects that require cryptographic protocols for secure communication and data exchange. Below is an example of how the `Challenge` type can be used:\n\n```\nimport sigmastate.basics.VerifierMessage.Challenge\n\nval challenge: Challenge = Challenge(Array[Byte](1, 2, 3))\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code provides functionality for abstracting Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. It also includes serialization/deserialization capabilities.\n\n2. What are the different types of messages defined in this code and how are they used in Sigma protocols?\n \n There are three types of messages defined in this code: `TranscriptMessage`, `ProverMessage`, and `VerifierMessage`. `ProverMessage` and `VerifierMessage` are used in Sigma protocol interactions, with `FirstProverMessage` and `SecondProverMessage` representing the first and second messages from the prover, respectively. `VerifierMessage` includes a `Challenge` object representing the challenge from the verifier.\n\n3. What is the purpose of the `SigmaProtocol` trait and its associated types?\n \n The `SigmaProtocol` trait is an abstract template for Sigma protocols, with associated types `A` and `Z` representing the first and second prover messages, respectively. It is used to define the structure and behavior of Sigma protocols in a generic way, allowing for flexibility and extensibility in implementing specific protocols." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/summary.json new file mode 100644 index 0000000000..fbfe88d3f2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics/summary.json @@ -0,0 +1,59 @@ +{ + "folderName": "basics", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics", + "files": [ + { + "fileName": "BcDlogGroup.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala", + "summary": "The code defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. The class is used to perform mathematical operations on group elements, such as exponentiation, multiplication, and inversion. The purpose of this class is to provide a common interface for different types of discrete logarithm groups, which can be used in cryptographic protocols.\n\nThe class has several properties, including the modulus of the field, the order of the group, and the maximum length in bytes of a string to be converted to a group element of this group. It also has a generator, which is a group element that generates the entire group, and an identity element, which is the element that does not change any other element when multiplied by it.\n\nThe class has several methods, including exponentiation, multiplication, and inversion of group elements. It also has a method for creating a random member of the group, checking if the order of the group is greater than a given number of bits, and computing the product of several exponentiations of the same base and distinct exponents.\n\nThe class has a nested class called GroupElementsExponentiations, which performs the actual work of pre-computation of the exponentiations for one base. It is composed of two main elements: the group element for which the optimized computations are built for, called the base, and a vector of group elements that are the result of exponentiations of order 1, 2, 4, 8, etc. The constructor creates a map structure in memory and then calculates the exponentiations of order 1, 2, 4, 8 for the given base and saves them in the map.\n\nThe class also has a map for multExponentiationsWithSameBase calculations, which is used to compute the product of several exponentiations of the same base and distinct exponents more quickly by keeping in memory the result of h1, h2, h4, h8, etc. and using it in the calculation.\n\nFinally, the code defines an object called SecP256K1Group, which is an instance of the BcDlogGroup class with a specific cryptographic context. This object can be used in cryptographic protocols that require a discrete logarithm group with a specific context.", + "questions": "1. What is the purpose of the `GroupElementsExponentiations` class?\n- The `GroupElementsExponentiations` class performs pre-computation of exponentiations for a given base and saves them in a map structure in memory to optimize future exponentiation calculations.\n\n2. What is the significance of the `k` variable?\n- The `k` variable represents the maximum length in bytes of a string that can be converted to a Group Element of this group. It is calculated based on the modulus of the field and is used for encoding and decoding binary strings.\n\n3. What is the purpose of the `exponentiationsCache` map?\n- The `exponentiationsCache` map is used to store pre-computed exponentiations for a given base, so that they can be reused in future exponentiation calculations for the same base. This optimization can significantly speed up exponentiation calculations." + }, + { + "fileName": "CryptoConstants.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala", + "summary": "The code above defines a set of constants and functions related to cryptography for the SigmaState project. The purpose of this code is to provide a set of tools for secure communication and data transfer within the project. \n\nThe `CryptoConstants` object defines several constants related to the cryptographic operations used in the project. The `EncodedGroupElementLength` constant defines the length of the encoded group element in bytes. The `dlogGroup` constant defines the elliptic curve used in the project, which is the SecP256K1 curve. The `secureRandom` constant defines a secure random number generator based on the elliptic curve. The `groupSizeBits` constant defines the size of the group in bits, which is 256 bits. The `groupSize` constant defines the size of the group in bytes, which is 32 bytes. The `groupOrder` constant defines the order of the group, which is a BigInteger. The `hashLengthBits` constant defines the length of the hash function used in the signature scheme, which is 256 bits. The `hashLength` constant defines the length of the hash function in bytes, which is 32 bytes. The `soundnessBits` constant defines the size of the challenge in Sigma protocols, which is 192 bits. \n\nThe `secureRandomBytes` function generates a secure random byte array of a specified length using the `secureRandom` constant defined above. \n\nOverall, this code provides a set of constants and functions that are used throughout the SigmaState project for secure communication and data transfer. For example, the `secureRandomBytes` function can be used to generate a secure random key for encryption or decryption. The `groupSize` constant can be used to ensure that data is properly encoded and decoded for transfer within the project. The `hashLength` constant can be used to ensure that signatures are properly generated and verified.", + "questions": "1. What is the purpose of this code?\n- This code defines constants and types related to cryptography for the SigmaState project.\n\n2. What cryptographic algorithms or protocols are being used?\n- The code uses the SecP256K1 elliptic curve group, the Blake2b hash function, and Sigma protocols.\n\n3. What is the significance of the `soundnessBits` variable?\n- `soundnessBits` is the size of the challenge in Sigma protocols, and it must be less than the group size in bits. Changing its value requires implementing polynomials over a different field and changing related code." + }, + { + "fileName": "CryptoFunctions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala", + "summary": "The code above is a part of the SigmaState project and is located in the sigmastate.basics package. The purpose of this code is to provide a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. \n\nThe `soundnessBytes` value is calculated by dividing the `CryptoConstants.soundnessBits` value by 8. This value is used to determine the number of bytes that should be returned in the resulting hash. \n\nThe `hashFn` method uses the Blake2b256 hash function to generate a 32-byte hash of the input byte array. It then creates a new byte array with a length equal to `soundnessBytes` and copies the first `soundnessBytes` bytes of the hash into the new array. This new array is then returned as the result of the method. \n\nThis code can be used in the larger project to provide a secure and efficient way to hash data. It can be used to hash passwords, user data, and other sensitive information. The resulting hash can be stored in a database or used for authentication purposes. \n\nHere is an example of how this code can be used:\n\n```scala\nval input = \"password123\".getBytes(\"UTF-8\")\nval hashedInput = CryptoFunctions.hashFn(input)\nprintln(s\"Hashed input: ${hashedInput.mkString}\")\n```\n\nThis code takes the string \"password123\" and converts it to a byte array using the UTF-8 encoding. It then passes this byte array to the `hashFn` method, which returns a new byte array containing the first `soundnessBytes` bytes of the hash. Finally, the resulting hash is printed to the console.", + "questions": "1. What is the purpose of the `CryptoFunctions` object?\n- The `CryptoFunctions` object contains a method for hashing an input into a 32-byte hash and returning the first `soundnessBytes` bytes of the hash in a new array.\n\n2. What is the value of `soundnessBytes` and how is it calculated?\n- The value of `soundnessBytes` is calculated by dividing `CryptoConstants.soundnessBits` by 8. It is a lazy val, meaning it is only calculated once and then stored for future use.\n\n3. What hashing algorithm is used in the `hashFn` method?\n- The `hashFn` method uses the Blake2b256 hashing algorithm from the `scorex.crypto.hash` package to hash the input." + }, + { + "fileName": "DLogProtocol.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala", + "summary": "The `DLogProtocol` object contains the implementation of the discrete logarithm signature protocol. The protocol is used to prove knowledge of a secret value `w` such that `g^w = value`, where `g` is a generator of a group and `value` is a public key. The protocol consists of three messages: the first message is a commitment to a random value `r`, the second message is a response `z` computed using the secret value `w`, and the third message is a proof that the response `z` is correct.\n\nThe `DLogSigmaProtocol` trait defines the interface for the discrete logarithm sigma protocol. The `ProveDlog` case class represents a public key of the protocol. It extends the `SigmaProofOfKnowledgeLeaf` trait, which is a leaf node of the sigma protocol tree. The `ProveDlog` object contains a `PropositionCode` that identifies the type of the proposition.\n\nThe `DLogProverInput` case class represents the private input of the protocol. It contains the secret value `w`. The `FirstDLogProverMessage` case class represents the first message of the protocol, which is a commitment to a random value `r`. The `SecondDLogProverMessage` case class represents the second message of the protocol, which is a response `z` computed using the secret value `w`.\n\nThe `DLogInteractiveProver` object contains functions to generate the first and second messages of the protocol, as well as to simulate the protocol. The `firstMessage` function generates a random value `r` and computes the first message `a = g^r`, where `g` is a generator of the group. The `secondMessage` function computes the second message `z = r + ew mod q`, where `e` is the challenge from the verifier and `q` is the order of the group. The `simulate` function simulates the protocol by generating a random value `z` and computing the first message `a = g^z * h^(-e)`, where `h` is the public key and `e` is the challenge.\n\nThe `computeCommitment` function computes the commitment to randomness based on the verifier's challenge and the prover's response. It computes `a = g^z/h^e`, where `g` is the generator of the group, `h` is the public key, `z` is the response, and `e` is the challenge.\n\nOverall, the `DLogProtocol` object provides the implementation of the discrete logarithm signature protocol, which can be used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization.", + "questions": "1. What is the purpose of the `DLogProtocol` object?\n- The `DLogProtocol` object contains implementations of the discrete logarithm signature protocol, including helper functions for generating random secrets and computing commitments.\n\n2. What is the `ProveDlog` case class used for?\n- The `ProveDlog` case class represents a public key in the discrete logarithm signature protocol and is used to construct a new `SigmaBoolean` value.\n\n3. What is the purpose of the `DLogInteractiveProver` object?\n- The `DLogInteractiveProver` object contains functions for generating the first and second messages of the discrete logarithm signature protocol, as well as simulating the protocol and computing the prover's commitment to randomness." + }, + { + "fileName": "DiffieHellmanTupleProtocol.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala", + "summary": "The code defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme. The DHT protocol is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The protocol is based on the discrete logarithm problem, which is believed to be hard to solve in practice. The Sigma protocol is a type of zero-knowledge proof that allows one party (the prover) to convince another party (the verifier) that they know a secret without revealing the secret itself.\n\nThe code defines several classes and methods that implement the DHT Sigma protocol. The `DiffieHellmanTupleProtocol` trait defines the interface for the protocol, which includes two message types (`FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage`) and a private input type (`DiffieHellmanTupleProverInput`). The `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points (`g`, `h`, `u`, and `v`). The `DiffieHellmanTupleInteractiveProver` object defines methods for generating the two messages required by the protocol (`firstMessage` and `secondMessage`) and for simulating the protocol (`simulate`). The `computeCommitment` method computes the prover's commitment to randomness based on the verifier's challenge and the prover's response.\n\nThe `DiffieHellmanTupleProverInput` case class represents the private input to the protocol, which consists of a random value `w` and the public input `commonInput`. The `random` method generates a random private input by selecting a random value `w` and computing the corresponding elliptic curve points `u` and `v` based on the public input `commonInput`.\n\nThe `FirstDiffieHellmanTupleProverMessage` case class represents the first message sent by the prover to the verifier. The message consists of two elliptic curve points `a` and `b`, which are computed as `a = g^r` and `b = h^r`, where `r` is a random value selected by the prover.\n\nThe `SecondDiffieHellmanTupleProverMessage` case class represents the second message sent by the prover to the verifier. The message consists of a single value `z`, which is computed as `z = r + ew mod q`, where `r` is the random value selected by the prover, `e` is the verifier's challenge, `w` is the prover's private input, and `q` is the order of the elliptic curve group.\n\nThe `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points `g`, `h`, `u`, and `v`. The `size` method returns the number of nodes in the corresponding Sigma tree, which is four in this case. The `ProveDHTupleProp` object provides an extractor for matching SigmaProp values and extracting `ProveDHTuple` objects from them.\n\nOverall, this code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project. The `DiffieHellmanTupleInteractiveProver` object can be used to generate the two messages required by the protocol, while the `computeCommitment` method can be used to compute the prover's commitment to randomness. The `ProveDHTuple` case class represents the public input to the protocol, which can be used to construct a new `SigmaProp` value representing the public key of the DHT signature scheme.", + "questions": "1. What is the purpose of the `DiffieHellmanTupleProtocol` trait and its associated case classes?\n- The `DiffieHellmanTupleProtocol` trait defines the structure of a Sigma protocol for proving knowledge of a Diffie-Hellman tuple. The `FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage` case classes represent the messages sent by the prover during the protocol.\n\n2. What is the `ProveDHTuple` case class used for?\n- The `ProveDHTuple` case class represents the public input to the Diffie-Hellman tuple protocol, consisting of four elliptic curve points. It also implements the `SigmaProofOfKnowledgeLeaf` trait, which defines methods for verifying the protocol.\n\n3. What is the purpose of the `DiffieHellmanTupleInteractiveProver` object?\n- The `DiffieHellmanTupleInteractiveProver` object contains methods for generating the messages sent by the prover during the Diffie-Hellman tuple protocol, as well as simulating the protocol for testing purposes. It also includes a method for computing the prover's commitment to randomness based on the verifier's challenge and the prover's response." + }, + { + "fileName": "DlogGroup.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala", + "summary": "The code defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. The discrete logarithm problem is a mathematical problem that involves finding a unique integer x given a generator g of a finite group G and a random element h in G such that g^x = h. In cryptography, groups for which the discrete logarithm problem is assumed to be hard are of interest. The most known groups of that kind are some Elliptic curve groups.\n\nThe DlogGroup trait has several methods that are used to perform operations on the group. The generator method returns the generator of the Dlog group, which is an element of the group such that, when written multiplicatively, every element of the group is a power of the generator. The order method returns the order of the Dlog group, and the identity method returns the identity element of the Dlog group.\n\nThe trait also has methods for performing operations on group elements. The inverseOf method calculates the inverse of a given group element, and the exponentiate method raises a base group element to the exponent. The multiplyGroupElements method multiplies two group elements.\n\nThe trait also has methods for creating random elements and generators of the Dlog group. The createRandomElement method creates a random member of the Dlog group, and the createRandomGenerator method creates a random generator of the Dlog group.\n\nThe exponentiateWithPreComputedValues method computes the product of several exponentiations of the same base and distinct exponents. An optimization is used to compute it more quickly by keeping in memory the result of h1, h2, h4,h8,... and using it in the calculation. The endExponentiateWithPreComputedValues method cleans up any resources used by exponentiateWithPreComputedValues for the requested base.\n\nFinally, the maxLengthOfByteArrayForEncoding method returns the maximum length of a string to be encoded to a Group Element of this group. Any string of length k has a numeric value that is less than (p-1)/2 - 1. k is the maximum length a binary string is allowed to be in order to encode the said binary string to a group element and vice-versa. If a string exceeds the k length, it cannot be encoded.\n\nOverall, the DlogGroup trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups.", + "questions": "1. What is the purpose of this code?\n- This code defines the general interface for the discrete logarithm prime-order group and provides methods for performing various operations on the group.\n\n2. What is the significance of the `ElemType` type parameter?\n- `ElemType` is a concrete type that represents an element of the Dlog group. It is used throughout the interface to specify the type of input and output for various methods.\n\n3. What is the purpose of the `createRandomGenerator` method?\n- The `createRandomGenerator` method generates a random generator of the Dlog group. In prime order groups, every element except the identity is a generator, so this method generates a random element and checks if it is the identity. If it is, it generates a new random element until a non-identity element is found." + }, + { + "fileName": "SigmaProtocolFunctions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala", + "summary": "The code provided is a part of the SigmaState project and contains a set of traits and classes that abstract Sigma protocols. Sigma protocols are a type of cryptographic protocol that allows two parties to prove knowledge of a secret without revealing the secret itself. The purpose of this code is to provide functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization.\n\nThe `TranscriptMessage` trait is an abstract trait that represents a message sent between two parties during a Sigma protocol interaction. The `ProverMessage` and `VerifierMessage` traits extend `TranscriptMessage` and represent messages sent by the prover and verifier, respectively. The `VerifierMessage` object contains a `Challenge` type that represents a challenge from the verifier in a Sigma protocol.\n\nThe `FirstProverMessage` and `SecondProverMessage` traits extend `ProverMessage` and represent the first and second messages sent by the prover in a Sigma protocol. These messages are denoted as `a` and `z` in the Sigma protocol.\n\nThe `SigmaProtocol` trait is an abstract template for Sigma protocols. It defines two associated types, `A` and `Z`, which represent the first and second prover messages, respectively. The `SigmaProtocolCommonInput` trait represents the common input to a Sigma protocol, and the `SigmaProtocolPrivateInput` trait represents the private input to a Sigma protocol.\n\nOverall, this code provides a foundation for creating and interacting with Sigma protocols in a secure and efficient manner. It can be used as a building block for larger projects that require cryptographic protocols for secure communication and data exchange. Below is an example of how the `Challenge` type can be used:\n\n```\nimport sigmastate.basics.VerifierMessage.Challenge\n\nval challenge: Challenge = Challenge(Array[Byte](1, 2, 3))\n```", + "questions": "1. What is the purpose of this code and what problem does it solve?\n \n This code provides functionality for abstracting Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. It also includes serialization/deserialization capabilities.\n\n2. What are the different types of messages defined in this code and how are they used in Sigma protocols?\n \n There are three types of messages defined in this code: `TranscriptMessage`, `ProverMessage`, and `VerifierMessage`. `ProverMessage` and `VerifierMessage` are used in Sigma protocol interactions, with `FirstProverMessage` and `SecondProverMessage` representing the first and second messages from the prover, respectively. `VerifierMessage` includes a `Challenge` object representing the challenge from the verifier.\n\n3. What is the purpose of the `SigmaProtocol` trait and its associated types?\n \n The `SigmaProtocol` trait is an abstract template for Sigma protocols, with associated types `A` and `Z` representing the first and second prover messages, respectively. It is used to define the structure and behavior of Sigma protocols in a generic way, allowing for flexibility and extensibility in implementing specific protocols." + } + ], + "folders": [], + "summary": "The code in this folder provides the foundation for working with discrete logarithm groups and Sigma protocols in the SigmaState project. Discrete logarithm groups are used in cryptography for secure communication and data transfer, while Sigma protocols are cryptographic protocols that allow two parties to prove knowledge of a secret without revealing the secret itself.\n\nThe `BcDlogGroup.scala` file defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. This class provides a common interface for different types of discrete logarithm groups and can be used in cryptographic protocols. The `SecP256K1Group` object is an instance of the BcDlogGroup class with a specific cryptographic context, which can be used in cryptographic protocols that require a discrete logarithm group with a specific context.\n\nThe `CryptoConstants.scala` file defines a set of constants and functions related to cryptography for the SigmaState project. These constants and functions are used throughout the project for secure communication and data transfer, such as generating secure random keys for encryption or decryption, and ensuring that data is properly encoded and decoded for transfer within the project.\n\nThe `CryptoFunctions.scala` file provides a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. This code can be used to hash passwords, user data, and other sensitive information, and the resulting hash can be stored in a database or used for authentication purposes.\n\nThe `DLogProtocol.scala` file contains the implementation of the discrete logarithm signature protocol, which is used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization.\n\nThe `DiffieHellmanTupleProtocol.scala` file defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme, which is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project.\n\nThe `DlogGroup.scala` file defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. This trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups.\n\nThe `SigmaProtocolFunctions.scala` file contains a set of traits and classes that abstract Sigma protocols, providing functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization.\n\nOverall, the code in this folder serves as a building block for larger projects that require cryptographic protocols for secure communication and data exchange.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.json new file mode 100644 index 0000000000..7e3ba414c7 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.json @@ -0,0 +1,7 @@ +{ + "fileName": "BigIntegers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala", + "summary": "The `BigIntegers` object in the `sigmastate.crypto` package provides utility functions for working with `BigInteger` objects in Scala. \n\nThe `createRandom` method generates a random byte array of length `nBytes` (calculated from the input `bitLength`), and then strips off any excess bits in the most significant byte to ensure that the resulting `BigInteger` has the desired bit length. This method is used internally by the other methods in the object to generate random `BigInteger` values.\n\nThe `createRandomBigInteger` method generates a random `BigInteger` with the specified bit length using the `createRandom` method. The resulting `BigInteger` is guaranteed to be positive.\n\nThe `createRandomInRange` method generates a random `BigInteger` between the specified `min` and `max` values (inclusive) using the `createRandomBigInteger` method. If `min` is greater than `max`, the method throws an `IllegalArgumentException`. If `min` has a bit length greater than half of `max`'s bit length, the method recursively calls itself with `min` set to 0 and `max` set to `max - min`, and then adds `min` to the resulting `BigInteger`. This is done to avoid bias in the random number generation when the range is small compared to the maximum possible value of a `BigInteger`. If the maximum number of iterations is reached without finding a suitable `BigInteger`, the method falls back to a faster (but less secure) method of generating a random `BigInteger`.\n\nThe `asUnsignedByteArray` methods convert a `BigInteger` to an unsigned byte array of the specified length. The first method pads the resulting byte array with leading zeros as necessary, while the second method removes any leading zero byte that may be present in the signed encoding of the `BigInteger`.\n\nOverall, the `BigIntegers` object provides convenient methods for generating and manipulating random `BigInteger` values in a secure and unbiased manner. These methods may be used in various cryptographic protocols and applications that require the use of large integers. \n\nExample usage:\n\n```scala\nimport sigmastate.crypto.BigIntegers\nimport scala.util.Random\n\nval random = new Random()\n\n// Generate a random 256-bit positive BigInteger\nval randomBigInt = BigIntegers.createRandomBigInteger(256, random)\n\n// Generate a random BigInteger between 100 and 200 (inclusive)\nval min = new BigInteger(\"100\")\nval max = new BigInteger(\"200\")\nval randomInRange = BigIntegers.createRandomInRange(min, max, random)\n\n// Convert a BigInteger to an unsigned byte array of length 32\nval byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt)\n```", + "questions": "1. What is the purpose of this code?\n- This code provides utility functions for working with BigIntegers in the context of cryptography, including generating random BigIntegers and converting them to byte arrays.\n\n2. What is the significance of the MAX_ITERATIONS constant?\n- The MAX_ITERATIONS constant is used as a limit for the number of attempts to generate a random BigInteger within a specified range. If the limit is reached without finding a suitable value, a fallback method is used.\n\n3. Why is the asUnsignedByteArray method necessary?\n- The asUnsignedByteArray method is necessary because the toByteArray method of BigInteger includes a leading sign bit, which may cause issues when working with cryptographic protocols that require unsigned byte arrays. This method removes the sign bit and pads the resulting byte array with leading zeros as necessary." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.json new file mode 100644 index 0000000000..5ab67a7339 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "CryptoContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala", + "summary": "The code above defines an abstract class called CryptoContext, which serves as a blueprint for implementing cryptographic operations in a larger project. The class contains several abstract methods that must be implemented by any concrete class that extends it. \n\nThe first two methods, getModulus and getOrder, return BigInteger values that represent the modulus and order of the elliptic curve used in the cryptographic operations. These values are important for ensuring the security of the cryptographic system. \n\nThe next three methods, validatePoint, getInfinity, and decodePoint, all deal with elliptic curve points. The validatePoint method takes two BigInteger values, x and y, and returns an Ecp object that represents a point on the elliptic curve. This method is used to validate that a given point is indeed on the curve. The getInfinity method returns an Ecp object that represents the point at infinity on the elliptic curve. Finally, the decodePoint method takes an array of bytes that represents a point on the curve and returns an Ecp object that represents that point. \n\nThe last method, getGenerator, returns an Ecp object that represents the generator point of the elliptic curve. This point is used in various cryptographic operations, such as key generation and signature verification. \n\nOverall, the CryptoContext class provides a high-level interface for performing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve. \n\nExample usage:\n\n```\n// create a concrete class that extends CryptoContext\nclass MyCryptoContext extends CryptoContext {\n def getModulus: BigInteger = ...\n\n def getOrder: BigInteger = ...\n\n def validatePoint(x: BigInteger, y: BigInteger): Ecp = ...\n\n def getInfinity(): Ecp = ...\n\n def decodePoint(encoded: Array[Byte]): Ecp = ...\n\n def getGenerator: Ecp = ...\n}\n\n// use the concrete class to perform cryptographic operations\nval context = new MyCryptoContext()\nval point = context.validatePoint(x, y)\nval generator = context.getGenerator()\n```", + "questions": "1. What is the purpose of this `CryptoContext` class?\n - The `CryptoContext` class is an abstract class that defines methods for working with elliptic curve cryptography, including getting the modulus and order, validating points, getting the infinity point, decoding points, and getting the generator.\n\n2. What is the `Ecp` class and how is it related to this `CryptoContext` class?\n - The `Ecp` class is likely a class that represents a point on an elliptic curve. It is related to the `CryptoContext` class because several of the methods in `CryptoContext` take `Ecp` objects as parameters or return them.\n\n3. What is the expected input and output of the `validatePoint` method?\n - The `validatePoint` method takes two `BigInteger` parameters (`x` and `y`) that likely represent the coordinates of a point on an elliptic curve. It returns an `Ecp` object, which may represent the same point if it is valid, or throw an exception if it is not valid." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.json new file mode 100644 index 0000000000..a00bdfb8d8 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.json @@ -0,0 +1,7 @@ +{ + "fileName": "CryptoFacade.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala", + "summary": "The `CryptoFacade` object in the `sigmastate.crypto` package provides a set of utility functions for cryptographic operations used in the larger project. \n\nThe object defines several constants, including `Encoding`, which is set to \"UTF-8\", `SecretKeyLength`, which is set to 32, and `BitcoinSeed`, which is an array of bytes representing the string \"Bitcoin seed\". It also defines `Pbkdf2Algorithm`, which is set to \"PBKDF2WithHmacSHA512\", `Pbkdf2Iterations`, which is set to 2048, and `Pbkdf2KeyLength`, which is set to 512. These constants are used in various functions defined in the object.\n\nThe object defines several utility functions for elliptic curve cryptography (ECC) operations, including `normalizePoint`, `negatePoint`, `isInfinityPoint`, `exponentiatePoint`, `multiplyPoints`, `showPoint`, `testBitZeroOfFieldElem`, `getEncodedOfFieldElem`, `getEncodedPoint`, `getXCoord`, `getYCoord`, `getAffineXCoord`, and `getAffineYCoord`. These functions take as input and output various ECC-related data types, such as `Ecp` and `ECFieldElem`. These functions are used to perform ECC operations in the larger project.\n\nThe object also defines several utility functions for generating and manipulating cryptographic keys and random numbers, including `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These functions are used to generate and manipulate cryptographic keys and random numbers in the larger project.\n\nFinally, the object defines a function `normalizeChars` that normalizes a sequence of char values using NFKD normalization form. This function is used to normalize mnemonic phrases and passwords before generating a PBKDF2 key.\n\nOverall, the `CryptoFacade` object provides a set of utility functions for performing various cryptographic operations used in the larger project, including ECC operations, key generation and manipulation, and random number generation.", + "questions": "1. What is the purpose of the CryptoFacade object?\n- The CryptoFacade object provides various utility functions related to cryptography, such as point operations, random number generation, and key derivation.\n\n2. What is the significance of the BitcoinSeed constant?\n- The BitcoinSeed constant is used as the key parameter for the hashHmacSHA512 function, which is used in key derivation.\n\n3. What is the role of the Platform object in this code?\n- The Platform object provides an abstraction layer for platform-specific implementations of cryptographic operations, allowing the code to be used across different platforms." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.json new file mode 100644 index 0000000000..defbf611b0 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.json @@ -0,0 +1,7 @@ +{ + "fileName": "GF2_192_Poly.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala", + "summary": "The GF2_192_Poly class is a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. \n\nThe constructor GF2_192_Poly(coeff0, moreCoeffs) constructs the polynomial given the byte array representation of the coefficients. The coefficient of degree zero is given separately, and each coefficient should be given as a 24-byte representation of a GF2_192 value. Coefficient of degree 1 should start at moreCoeffs[0]. \n\nThe method evaluate(x) evaluates the polynomial at a given point x. The method addMonicTimesConstantTo(p, r) adds r*p to this polynomial, assuming p is monic, c.length>p.deg, and (p.deg == this.deg+1, or this==0 and p==1). The method monicTimesMonomial(r) multiplies this polynomial by (x+r), assuming this is monic of degree deg (i.e. assumed c[deg]==1). \n\nThe method toByteArray(coeff0) returns a byte array that contains the concatenation of all the coefficients (except possibly the degree-0 coefficient, which is omitted if coeff0 is false). The lowest-degree coefficient (0 or 1 depending on coeff0) starts at index 0 of the returned array. Each coefficient takes 24 bytes, for a total of degree*24 bytes if coeff0 is false, or (degree+1)*24 bytes if coeff0 is true. \n\nThe method interpolate(points, values, valueAt0) interpolates the polynomial at given points (and at point 0, if valueAt0!=null). If points are not all distinct, or if 0 is in the points array and valueAt0!=null, behavior is undefined. valueAt0 is separated only for efficiency reason; the caller can treat 0 like any other point instead (i.e., the points array can include 0 if valueAt0==null, but computation will be slightly less efficient). If points is null, or values is null, or if lengths of points and values arrays differ, or if the arrays are 0 length and valueAt0 is null, returns null. The method returns the unique lowest-degree polynomial p such that for every i, p(points[i]) = values[i] and p(0)=valueAt0 (if valueAt0!=null). \n\nOverall, the GF2_192_Poly class provides a useful tool for working with polynomials over the finite field GF(2^192) and can be used in cryptographic applications that require polynomial interpolation and evaluation.", + "questions": "1. What is the purpose of the GF2_192_Poly class?\n- The GF2_192_Poly class represents a polynomial with coefficients in the finite field GF(2^192). It provides methods for constructing, evaluating, and manipulating such polynomials.\n\n2. What is the format of the byte arrays used to represent the polynomial coefficients?\n- Each coefficient is represented as a 24-byte array, which is the byte representation of a GF2_192 value. The byte arrays for the coefficients are concatenated to form a larger byte array.\n\n3. What is the purpose of the interpolate method in the GF2_192_Poly object?\n- The interpolate method takes in arrays of distinct points and their corresponding values, and returns the unique lowest-degree polynomial that passes through those points. If a value is provided for the point x=0, the resulting polynomial will also evaluate to that value at x=0." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/package.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/package.json new file mode 100644 index 0000000000..10a9c0900d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/package.scala", + "summary": "This code defines two type aliases, `Ecp` and `ECFieldElem`, within the `crypto` package object of the `sigmastate` project. These aliases are used to refer to instances of an Elliptic Curve point and an Elliptic Curve field element, respectively. \n\nThe purpose of this code is to provide a convenient way to refer to these types throughout the `sigmastate` project. By defining these aliases, developers can use `Ecp` and `ECFieldElem` instead of typing out the full names of these types every time they are used. This can make the code more readable and easier to maintain.\n\nHere is an example of how these aliases might be used in the larger project:\n\n```scala\nimport sigmastate.crypto._\n\nval point1: Ecp = // create an instance of an Elliptic Curve point\nval point2: Ecp = // create another instance of an Elliptic Curve point\n\nval sum: Ecp = point1.add(point2) // add the two points together\n```\n\nIn this example, we import the `crypto` package object from the `sigmastate` project, which includes the `Ecp` type alias. We then create two instances of `Ecp` and add them together using the `add` method provided by the `Ecp` class. By using the `Ecp` alias instead of the full class name, the code is more concise and easier to read.\n\nOverall, this code provides a simple but useful abstraction for working with Elliptic Curve points and field elements in the `sigmastate` project.", + "questions": "1. What is the purpose of the `crypto` package object?\n \n The `crypto` package object defines type aliases for `Ecp` and `ECFieldElem` from the `Platform` object, which are likely used for cryptographic operations involving elliptic curves.\n\n2. What is the `Ecp` type alias used for?\n \n The `Ecp` type alias is used to represent an instance of an elliptic curve point, which is likely used in cryptographic operations involving elliptic curves.\n\n3. What is the `ECFieldElem` type alias used for?\n \n The `ECFieldElem` type alias is used to represent an element of an elliptic curve field, which is likely used in cryptographic operations involving elliptic curves." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/summary.json new file mode 100644 index 0000000000..0a20b91f78 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto/summary.json @@ -0,0 +1,38 @@ +{ + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "BigIntegers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala", + "summary": "The `BigIntegers` object in the `sigmastate.crypto` package provides utility functions for working with `BigInteger` objects in Scala. \n\nThe `createRandom` method generates a random byte array of length `nBytes` (calculated from the input `bitLength`), and then strips off any excess bits in the most significant byte to ensure that the resulting `BigInteger` has the desired bit length. This method is used internally by the other methods in the object to generate random `BigInteger` values.\n\nThe `createRandomBigInteger` method generates a random `BigInteger` with the specified bit length using the `createRandom` method. The resulting `BigInteger` is guaranteed to be positive.\n\nThe `createRandomInRange` method generates a random `BigInteger` between the specified `min` and `max` values (inclusive) using the `createRandomBigInteger` method. If `min` is greater than `max`, the method throws an `IllegalArgumentException`. If `min` has a bit length greater than half of `max`'s bit length, the method recursively calls itself with `min` set to 0 and `max` set to `max - min`, and then adds `min` to the resulting `BigInteger`. This is done to avoid bias in the random number generation when the range is small compared to the maximum possible value of a `BigInteger`. If the maximum number of iterations is reached without finding a suitable `BigInteger`, the method falls back to a faster (but less secure) method of generating a random `BigInteger`.\n\nThe `asUnsignedByteArray` methods convert a `BigInteger` to an unsigned byte array of the specified length. The first method pads the resulting byte array with leading zeros as necessary, while the second method removes any leading zero byte that may be present in the signed encoding of the `BigInteger`.\n\nOverall, the `BigIntegers` object provides convenient methods for generating and manipulating random `BigInteger` values in a secure and unbiased manner. These methods may be used in various cryptographic protocols and applications that require the use of large integers. \n\nExample usage:\n\n```scala\nimport sigmastate.crypto.BigIntegers\nimport scala.util.Random\n\nval random = new Random()\n\n// Generate a random 256-bit positive BigInteger\nval randomBigInt = BigIntegers.createRandomBigInteger(256, random)\n\n// Generate a random BigInteger between 100 and 200 (inclusive)\nval min = new BigInteger(\"100\")\nval max = new BigInteger(\"200\")\nval randomInRange = BigIntegers.createRandomInRange(min, max, random)\n\n// Convert a BigInteger to an unsigned byte array of length 32\nval byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt)\n```", + "questions": "1. What is the purpose of this code?\n- This code provides utility functions for working with BigIntegers in the context of cryptography, including generating random BigIntegers and converting them to byte arrays.\n\n2. What is the significance of the MAX_ITERATIONS constant?\n- The MAX_ITERATIONS constant is used as a limit for the number of attempts to generate a random BigInteger within a specified range. If the limit is reached without finding a suitable value, a fallback method is used.\n\n3. Why is the asUnsignedByteArray method necessary?\n- The asUnsignedByteArray method is necessary because the toByteArray method of BigInteger includes a leading sign bit, which may cause issues when working with cryptographic protocols that require unsigned byte arrays. This method removes the sign bit and pads the resulting byte array with leading zeros as necessary." + }, + { + "fileName": "CryptoContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala", + "summary": "The code above defines an abstract class called CryptoContext, which serves as a blueprint for implementing cryptographic operations in a larger project. The class contains several abstract methods that must be implemented by any concrete class that extends it. \n\nThe first two methods, getModulus and getOrder, return BigInteger values that represent the modulus and order of the elliptic curve used in the cryptographic operations. These values are important for ensuring the security of the cryptographic system. \n\nThe next three methods, validatePoint, getInfinity, and decodePoint, all deal with elliptic curve points. The validatePoint method takes two BigInteger values, x and y, and returns an Ecp object that represents a point on the elliptic curve. This method is used to validate that a given point is indeed on the curve. The getInfinity method returns an Ecp object that represents the point at infinity on the elliptic curve. Finally, the decodePoint method takes an array of bytes that represents a point on the curve and returns an Ecp object that represents that point. \n\nThe last method, getGenerator, returns an Ecp object that represents the generator point of the elliptic curve. This point is used in various cryptographic operations, such as key generation and signature verification. \n\nOverall, the CryptoContext class provides a high-level interface for performing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve. \n\nExample usage:\n\n```\n// create a concrete class that extends CryptoContext\nclass MyCryptoContext extends CryptoContext {\n def getModulus: BigInteger = ...\n\n def getOrder: BigInteger = ...\n\n def validatePoint(x: BigInteger, y: BigInteger): Ecp = ...\n\n def getInfinity(): Ecp = ...\n\n def decodePoint(encoded: Array[Byte]): Ecp = ...\n\n def getGenerator: Ecp = ...\n}\n\n// use the concrete class to perform cryptographic operations\nval context = new MyCryptoContext()\nval point = context.validatePoint(x, y)\nval generator = context.getGenerator()\n```", + "questions": "1. What is the purpose of this `CryptoContext` class?\n - The `CryptoContext` class is an abstract class that defines methods for working with elliptic curve cryptography, including getting the modulus and order, validating points, getting the infinity point, decoding points, and getting the generator.\n\n2. What is the `Ecp` class and how is it related to this `CryptoContext` class?\n - The `Ecp` class is likely a class that represents a point on an elliptic curve. It is related to the `CryptoContext` class because several of the methods in `CryptoContext` take `Ecp` objects as parameters or return them.\n\n3. What is the expected input and output of the `validatePoint` method?\n - The `validatePoint` method takes two `BigInteger` parameters (`x` and `y`) that likely represent the coordinates of a point on an elliptic curve. It returns an `Ecp` object, which may represent the same point if it is valid, or throw an exception if it is not valid." + }, + { + "fileName": "CryptoFacade.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala", + "summary": "The `CryptoFacade` object in the `sigmastate.crypto` package provides a set of utility functions for cryptographic operations used in the larger project. \n\nThe object defines several constants, including `Encoding`, which is set to \"UTF-8\", `SecretKeyLength`, which is set to 32, and `BitcoinSeed`, which is an array of bytes representing the string \"Bitcoin seed\". It also defines `Pbkdf2Algorithm`, which is set to \"PBKDF2WithHmacSHA512\", `Pbkdf2Iterations`, which is set to 2048, and `Pbkdf2KeyLength`, which is set to 512. These constants are used in various functions defined in the object.\n\nThe object defines several utility functions for elliptic curve cryptography (ECC) operations, including `normalizePoint`, `negatePoint`, `isInfinityPoint`, `exponentiatePoint`, `multiplyPoints`, `showPoint`, `testBitZeroOfFieldElem`, `getEncodedOfFieldElem`, `getEncodedPoint`, `getXCoord`, `getYCoord`, `getAffineXCoord`, and `getAffineYCoord`. These functions take as input and output various ECC-related data types, such as `Ecp` and `ECFieldElem`. These functions are used to perform ECC operations in the larger project.\n\nThe object also defines several utility functions for generating and manipulating cryptographic keys and random numbers, including `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These functions are used to generate and manipulate cryptographic keys and random numbers in the larger project.\n\nFinally, the object defines a function `normalizeChars` that normalizes a sequence of char values using NFKD normalization form. This function is used to normalize mnemonic phrases and passwords before generating a PBKDF2 key.\n\nOverall, the `CryptoFacade` object provides a set of utility functions for performing various cryptographic operations used in the larger project, including ECC operations, key generation and manipulation, and random number generation.", + "questions": "1. What is the purpose of the CryptoFacade object?\n- The CryptoFacade object provides various utility functions related to cryptography, such as point operations, random number generation, and key derivation.\n\n2. What is the significance of the BitcoinSeed constant?\n- The BitcoinSeed constant is used as the key parameter for the hashHmacSHA512 function, which is used in key derivation.\n\n3. What is the role of the Platform object in this code?\n- The Platform object provides an abstraction layer for platform-specific implementations of cryptographic operations, allowing the code to be used across different platforms." + }, + { + "fileName": "GF2_192_Poly.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala", + "summary": "The GF2_192_Poly class is a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. \n\nThe constructor GF2_192_Poly(coeff0, moreCoeffs) constructs the polynomial given the byte array representation of the coefficients. The coefficient of degree zero is given separately, and each coefficient should be given as a 24-byte representation of a GF2_192 value. Coefficient of degree 1 should start at moreCoeffs[0]. \n\nThe method evaluate(x) evaluates the polynomial at a given point x. The method addMonicTimesConstantTo(p, r) adds r*p to this polynomial, assuming p is monic, c.length>p.deg, and (p.deg == this.deg+1, or this==0 and p==1). The method monicTimesMonomial(r) multiplies this polynomial by (x+r), assuming this is monic of degree deg (i.e. assumed c[deg]==1). \n\nThe method toByteArray(coeff0) returns a byte array that contains the concatenation of all the coefficients (except possibly the degree-0 coefficient, which is omitted if coeff0 is false). The lowest-degree coefficient (0 or 1 depending on coeff0) starts at index 0 of the returned array. Each coefficient takes 24 bytes, for a total of degree*24 bytes if coeff0 is false, or (degree+1)*24 bytes if coeff0 is true. \n\nThe method interpolate(points, values, valueAt0) interpolates the polynomial at given points (and at point 0, if valueAt0!=null). If points are not all distinct, or if 0 is in the points array and valueAt0!=null, behavior is undefined. valueAt0 is separated only for efficiency reason; the caller can treat 0 like any other point instead (i.e., the points array can include 0 if valueAt0==null, but computation will be slightly less efficient). If points is null, or values is null, or if lengths of points and values arrays differ, or if the arrays are 0 length and valueAt0 is null, returns null. The method returns the unique lowest-degree polynomial p such that for every i, p(points[i]) = values[i] and p(0)=valueAt0 (if valueAt0!=null). \n\nOverall, the GF2_192_Poly class provides a useful tool for working with polynomials over the finite field GF(2^192) and can be used in cryptographic applications that require polynomial interpolation and evaluation.", + "questions": "1. What is the purpose of the GF2_192_Poly class?\n- The GF2_192_Poly class represents a polynomial with coefficients in the finite field GF(2^192). It provides methods for constructing, evaluating, and manipulating such polynomials.\n\n2. What is the format of the byte arrays used to represent the polynomial coefficients?\n- Each coefficient is represented as a 24-byte array, which is the byte representation of a GF2_192 value. The byte arrays for the coefficients are concatenated to form a larger byte array.\n\n3. What is the purpose of the interpolate method in the GF2_192_Poly object?\n- The interpolate method takes in arrays of distinct points and their corresponding values, and returns the unique lowest-degree polynomial that passes through those points. If a value is provided for the point x=0, the resulting polynomial will also evaluate to that value at x=0." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder provides utility functions and classes for cryptographic operations used in the larger project. It contains several files that deal with different aspects of cryptography, such as working with large integers, elliptic curve cryptography, and polynomial operations over finite fields.\n\n`BigIntegers.scala` provides utility functions for working with `BigInteger` objects in Scala. It includes methods for generating random `BigInteger` values with specified bit lengths and ranges, as well as converting `BigInteger` objects to unsigned byte arrays. These methods can be used in various cryptographic protocols and applications that require the use of large integers.\n\n```scala\nimport sigmastate.crypto.BigIntegers\nimport scala.util.Random\n\nval random = new Random()\n\n// Generate a random 256-bit positive BigInteger\nval randomBigInt = BigIntegers.createRandomBigInteger(256, random)\n\n// Generate a random BigInteger between 100 and 200 (inclusive)\nval min = new BigInteger(\"100\")\nval max = new BigInteger(\"200\")\nval randomInRange = BigIntegers.createRandomInRange(min, max, random)\n\n// Convert a BigInteger to an unsigned byte array of length 32\nval byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt)\n```\n\n`CryptoContext.scala` defines an abstract class called `CryptoContext`, which serves as a blueprint for implementing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve.\n\n```scala\n// create a concrete class that extends CryptoContext\nclass MyCryptoContext extends CryptoContext {\n def getModulus: BigInteger = ...\n\n def getOrder: BigInteger = ...\n\n def validatePoint(x: BigInteger, y: BigInteger): Ecp = ...\n\n def getInfinity(): Ecp = ...\n\n def decodePoint(encoded: Array[Byte]): Ecp = ...\n\n def getGenerator: Ecp = ...\n}\n\n// use the concrete class to perform cryptographic operations\nval context = new MyCryptoContext()\nval point = context.validatePoint(x, y)\nval generator = context.getGenerator()\n```\n\n`CryptoFacade.scala` provides a set of utility functions for cryptographic operations, including elliptic curve cryptography (ECC) operations, key generation and manipulation, and random number generation. These functions can be used throughout the larger project for various cryptographic tasks.\n\n`GF2_192_Poly.scala` defines a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. This class can be used in cryptographic applications that require polynomial interpolation and evaluation.\n\nOverall, the `sigmastate.crypto` package provides a collection of utility functions and classes for performing various cryptographic operations, which can be used throughout the larger project to ensure the security and correctness of the implemented protocols and applications.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.json new file mode 100644 index 0000000000..546097ce54 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.json @@ -0,0 +1,7 @@ +{ + "fileName": "BigIntegerOps.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala", + "summary": "The code provided defines two objects, `OrderingOps` and `NumericOps`, which contain traits and implicit objects for handling ordering and arithmetic operations on BigIntegers. \n\nThe `OrderingOps` object defines two traits, `BigIntegerOrdering` and `BigIntOrdering`, which extend the `Ordering` trait and implement the `compare` method for comparing `BigInteger` and `BigInt` values, respectively. The object also defines implicit objects for each trait, which can be used to provide ordering for `BigInteger` and `BigInt` values in other parts of the code.\n\nThe `NumericOps` object defines two traits, `BigIntIsIntegral` and `BigIntIsExactIntegral`, which extend the `Integral` and `ExactIntegral` traits, respectively, and provide implementations for arithmetic operations on `BigInt` values. The `BigIntIsIntegral` trait defines methods for addition, subtraction, multiplication, negation, and conversion to various numeric types, as well as a `rem` method for computing the remainder of a division operation. The `BigIntIsExactIntegral` trait extends `ExactIntegral` and provides implementations for the same arithmetic operations, as well as a `divisionRemainder` method for computing the remainder of a division operation. \n\nThe `BigIntIsExactOrdering` object extends `ExactOrderingImpl` and provides an implementation of the `compare` method for comparing `BigInt` values using the `BigIntIsIntegral` trait. \n\nOverall, these objects provide a set of tools for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values, which can be used in other parts of the project to perform computations and comparisons involving these types. For example, the `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively.", + "questions": "1. What is the purpose of the `OrderingOps` object?\n- The `OrderingOps` object provides implicit ordering instances for `BigInteger` and `BigInt` types.\n\n2. What is the difference between `BigIntIsIntegral` and `BigIntIsExactIntegral`?\n- `BigIntIsIntegral` provides a base implementation of integral methods for `BigInt`, while `BigIntIsExactIntegral` is an instance of the `ExactIntegral` typeclass for `BigInt` that provides exact arithmetic operations.\n\n3. What is the purpose of the `divisionRemainder` method in `BigIntIsExactIntegral`?\n- The `divisionRemainder` method is used to implement the `%` operation of ErgoTree for all numeric types, including `BigInt`. It corresponds to the `mod` method of `java.math.BigInteger`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.json new file mode 100644 index 0000000000..e75b5b647f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "CostingDataContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala", + "summary": "This code provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. The main purpose of this code is to provide a way to work with Sigma-State values and operations in a more user-friendly manner, by wrapping them in higher-level abstractions.\n\nThe main classes and traits implemented in this code are:\n\n- `WrapperOf[T]`: A trait for wrapper classes that provide access to the underlying wrapped value of type `T`.\n- `CBigInt`: A default implementation of the `BigInt` interface, wrapping a `BigInteger` value.\n- `CGroupElement`: A default implementation of the `GroupElement` interface, wrapping an `Ecp` value (elliptic curve point).\n- `CSigmaProp`: A default implementation of the `SigmaProp` interface, wrapping a `SigmaBoolean` value.\n- `CAvlTreeVerifier`: An implementation of the `AvlTreeVerifier` trait based on `BatchAVLVerifier`.\n- `CAvlTree`: A default implementation of the `AvlTree` interface, wrapping an `AvlTreeData` value.\n- `CAnyValue`: A default implementation of the `AnyValue` interface, wrapping a value of any type `A`.\n- `CostingBox`: A default implementation of the `Box` interface, wrapping an `ErgoBox` value.\n- `CPreHeader`: A default implementation of the `PreHeader` interface.\n- `CHeader`: A default implementation of the `Header` interface.\n- `CostingSigmaDslBuilder`: A default implementation of the `SigmaDslBuilder` interface, providing methods for constructing Sigma-State values and operations.\n- `CostingDataContext`: A default implementation of the `Context` interface, providing access to various context data and methods.\n\nThese implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods.", + "questions": "1. **Question**: What is the purpose of the `WrapperOf[T]` trait?\n **Answer**: The `WrapperOf[T]` trait is an interface implemented by wrapper classes to provide access to the underlying wrapped value of type `T`. It has a single method `wrappedValue` which returns the data value wrapped by the implementing class.\n\n2. **Question**: How does the `CBigInt` class handle arithmetic operations like addition, subtraction, and multiplication?\n **Answer**: The `CBigInt` class handles arithmetic operations by calling the corresponding methods on the wrapped `BigInteger` value and then wrapping the result back into a `CBigInt` instance. For example, in the `add` method, it calls `wrappedValue.add(...)` and then wraps the result using `dsl.BigInt(...)`. It also ensures that the result is a 256-bit value using the `to256BitValueExact` method.\n\n3. **Question**: How does the `CAvlTree` class handle tree operations like insert, update, and remove?\n **Answer**: The `CAvlTree` class handles tree operations by creating a `CAvlTreeVerifier` instance with the current tree data and then performing the corresponding operation using the `BatchAVLVerifier` methods. For example, in the `insert` method, it calls `bv.performOneOperation(Insert(...))` for each entry to be inserted. After all operations are performed, it updates the tree digest if the operation was successful." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.json new file mode 100644 index 0000000000..70275d67bc --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.json @@ -0,0 +1,7 @@ +{ + "fileName": "Evaluation.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala", + "summary": "The Evaluation object in the sigmastate.eval package provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object contains several methods that are used to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl, which is used during evaluation. \n\nThe stypeToRType method takes an SType object and returns the corresponding RType descriptor of SigmaDsl. The method uses pattern matching to match the SType object with the corresponding RType descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeToSType method takes an RType descriptor of SigmaDsl and returns the corresponding serializable ErgoTree type descriptor. The method uses pattern matching to match the RType descriptor with the corresponding ErgoTree type descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeOf method tries to reconstruct the RType of a given value. If successful, it returns the RType descriptor. The method uses pattern matching to match the value with the corresponding RType descriptor. \n\nThe fromDslTuple method converts SigmaDsl representation of a tuple to ErgoTree serializable representation. The method takes a value and a tuple type descriptor and returns a collection of values. \n\nThe toDslTuple method converts ErgoTree serializable representation of a tuple to SigmaDsl representation. The method takes a collection of values and a tuple type descriptor and returns a tuple. \n\nOverall, the Evaluation object provides essential helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object is used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl.", + "questions": "1. What is the purpose of the `Evaluation` object?\n- The `Evaluation` object provides helper methods for evaluating ErgoScript expressions.\n\n2. What is the `addCostChecked` method used for?\n- The `addCostChecked` method is used to accumulate cost while checking if the total cost exceeds a given limit. If the new cost exceeds the limit, a `CostLimitException` is thrown.\n\n3. What is the purpose of the `rtypeOf` method?\n- The `rtypeOf` method tries to reconstruct the `RType` of a given value. If successful, it returns the `RType`. If not, it returns a failure." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.json new file mode 100644 index 0000000000..276c88f0a3 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Exceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala", + "summary": "The code above defines a final class called \"InvalidType\" that extends the built-in Exception class in Scala. The purpose of this class is to provide a custom exception that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. \n\nIn the context of the larger project, this class is likely used in conjunction with other classes and methods in the \"sigmastate.eval\" package to evaluate Sigma expressions. Sigma is a language for writing smart contracts on the blockchain, and the \"sigmastate.eval\" package contains classes and methods for evaluating Sigma expressions in a type-safe manner. \n\nWhen an invalid type is encountered during evaluation, the \"InvalidType\" exception can be thrown with a custom error message. This allows the calling code to handle the exception in a way that is appropriate for the specific use case. For example, if the Sigma expression is part of a smart contract, the exception could be caught and handled in a way that ensures the contract is executed correctly and securely. \n\nHere is an example of how the \"InvalidType\" exception could be used in code:\n\n```\ndef evaluateExpression(expr: SigmaExpr): Any = {\n expr match {\n case IntConstant(i) => i\n case BooleanConstant(b) => b\n case StringConstant(s) => s\n case _ => throw new InvalidType(\"Invalid expression type\")\n }\n}\n```\n\nIn this example, the \"evaluateExpression\" method takes a Sigma expression as input and returns the result of evaluating the expression. If the expression is not an integer, boolean, or string constant, the \"InvalidType\" exception is thrown with a custom error message. This ensures that the calling code can handle the exception appropriately and prevent any unexpected behavior or security vulnerabilities.", + "questions": "1. What is the purpose of the `InvalidType` class?\n \n The `InvalidType` class is an exception class that is used to indicate an invalid type in the Sigma programming language.\n\n2. Why is the `InvalidType` class marked as `final`?\n \n The `final` keyword is used to indicate that the `InvalidType` class cannot be subclassed. This is likely done to prevent unintended modifications to the exception handling behavior.\n\n3. Where is the `InvalidType` class used in the project?\n \n Without additional context, it is difficult to determine where the `InvalidType` class is used in the project. It is possible that it is used in various places throughout the codebase to handle invalid type errors." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.json new file mode 100644 index 0000000000..123e6615fa --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Extensions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala", + "summary": "The code in this file defines various extension methods and implicit classes that can be used throughout the larger project. These extensions and classes provide additional functionality and convenience methods for working with various data types and structures.\n\nThe `ByteExt`, `IntExt`, and `LongExt` implicit classes provide methods for converting these primitive types to `BigInt`. This can be useful when working with cryptographic operations that require large integers.\n\nThe `ArrayOps` and `EvalIterableOps` implicit classes provide a `toColl` method that converts an array or iterable to a `Coll` object from the `special.collection` package. This can be useful when working with collections in the project.\n\nThe `EvalCollOps` implicit class provides a `toConstant` method that wraps a `Coll` object into a `ConstantNode` with the appropriate `SCollectionType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `DslDataOps` implicit class provides a `toTreeData` method that creates a `Constant` object from any data type that has an associated `RType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `toAnyValue` method creates a `CAnyValue` object from any data type that has an associated `RType`. This can be useful when working with generic data types.\n\nThe `ErgoBoxOps` implicit class provides a `toTestBox` method that converts an `ErgoBox` object to a `CostingBox` object. This can be useful when working with boxes in the Ergo platform.\n\nThe `showECPoint` method converts an `Ecp` object to a string representation. This can be useful when working with elliptic curve cryptography.\n\nThe `EcpOps` implicit class provides a `toGroupElement` method that converts an `Ecp` object to a `GroupElement` object from the `special.sigma` package. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `GroupElementOps` implicit class provides a `showToString` method that converts a `GroupElement` object to a string representation. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `DBufferOps` implicit class provides a `sumAll` method that sums all elements in a `DBuffer` object from the `debox` package. This can be useful when working with buffers in the project.\n\nOverall, this file provides a variety of extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures.", + "questions": "1. What is the purpose of the `Extensions` object?\n- The `Extensions` object contains several implicit classes and methods that extend the functionality of existing classes and types.\n\n2. What is the purpose of the `toConstant` method in the `EvalCollOps` class?\n- The `toConstant` method wraps a collection into a `ConstantNode` using the collection's element type, which can be useful for passing collections as arguments to functions that expect constants.\n\n3. What is the purpose of the `showECPoint` method?\n- The `showECPoint` method takes an `Ecp` object and returns a string representation of the point, either \"INF\" if the point is infinity or the result of calling `CryptoFacade.showPoint` on the point otherwise." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.json new file mode 100644 index 0000000000..fcd9cac67f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.json @@ -0,0 +1,7 @@ +{ + "fileName": "Profiler.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala", + "summary": "The code defines a simple profiler to measure the average execution times of ErgoTree operations. It consists of several classes and methods to collect, store, and analyze the profile measurements.\n\n`StatHolder` is an abstract class that holds a series of profile measurements associated with a key. It provides methods to compute simple statistics like count, sum, average, and mean.\n\n`StatCollection` is a class that collects profiler measured data points associated with keys. It groups points by key into `StatHolder`s. It provides methods to get the mean value for a given key, add a data point, and map each entry of the collected mapping to a new array of values using a given function.\n\n`Profiler` is the main class that measures the execution times of ErgoTree operations. It maintains a stack of `OpStat` instances, which represent the evaluation of a node in the ErgoTree. The `onBeforeNode` and `onAfterNode` methods are called before and after the evaluation of a node, respectively. These methods update the timing stats for the operations and methods using `addOpTime` and `addMcTime`.\n\nThe `addCostItem` method is used to add the cost item and its execution time to the `costItemsStat` collection. The `addEstimation` and `addJitEstimation` methods are used to add estimated cost and actual measured time data points to the `estimationCostStat` and `measuredTimeStat` collections for a given script.\n\nThe `generateReport` method generates a report containing operation timing tables using the collected execution profile information. It sorts and formats the data into a readable string representation.\n\nIn the larger project, this profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times.", + "questions": "1. **What is the purpose of the `StatHolder` and `StatCollection` classes?**\n\n The `StatHolder` class holds a series of profile measurements associated with a key and allows computing simple statistic data. The `StatCollection` class collects profiler measured data points associated with keys, grouping points by key into `StatHolder`s.\n\n2. **How does the `Profiler` class work and what is its main functionality?**\n\n The `Profiler` class is a simple profiler to measure average execution times of ErgoTree operations. It maintains a stack of `OpStat` objects to track the execution times of operations and provides methods like `onBeforeNode` and `onAfterNode` to be called by the evaluator during the execution of nodes. It also collects and maintains various statistics related to operation timings, method calls, and cost items.\n\n3. **How does the `generateReport` method work and what information does it provide?**\n\n The `generateReport` method generates a report based on the collected execution profile information. It creates tables for operation timings, method calls, cost items, and estimation costs, sorting and formatting the data for better readability. The report provides information about execution times, counts, suggested costs, actual costs, and other relevant details for each operation, method call, and cost item." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/package.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/package.json new file mode 100644 index 0000000000..9b88144351 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/package.scala", + "summary": "The code defines a package object called \"eval\" within the \"sigmastate\" package. It contains several implicit conversions and utility functions that can be used in the larger project. \n\nThe `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods that are not available in Dsl code and not in the `SigmaDslBuilder` interface. For example, methods like `Box` and `toErgoBox` are available here but not in Dsl. \n\nThe `Colls` object is the primary reference to global `Coll` operations. It can be used to create collections from an array, etc. \n\nThe `TupleColl` function is a constructor of tuple values with more than two items. Such long tuples are represented as `Coll[Any]`. This representation of tuples is different from the representation of pairs `(x, y)`, where `Tuple2` type is used instead of `Coll`. \n\nThe `BaseDigestColl` trait is a tagged type for `Coll[Byte]`. The `Digest32Coll` object extends `BaseDigestColl` and defines a type alias `Digest32Coll` for `Digest32Coll.Type`. The `Digest32CollRType` and `Digest32RType` are implicit conversions between `Coll[Byte]` and `Digest32Coll` and `Array[Byte]` and `Digest32`, respectively. \n\nThe code also defines several implicit conversions between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` and `bigIntToBigInteger` are implicit conversions between `BigInteger` and `BigInt`. Similarly, `ecPointToGroupElement` and `groupElementToECPoint` are implicit conversions between `EcPointType` and `GroupElement`, and `sigmaBooleanToSigmaProp` and `sigmaPropToSigmaBoolean` are implicit conversions between `SigmaBoolean` and `SigmaProp`. \n\nFinally, the code defines implicit conversions between `AvlTreeData` and `AvlTree` and between `ErgoBox` and `Box`. \n\nOverall, this code provides utility functions and implicit conversions that can be used in the larger project to simplify code and improve readability.", + "questions": "1. What is the purpose of the `SigmaDsl` object and what methods does it contain?\n- The `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods such as `Box` and `toErgoBox` that are not available in Dsl code or in the `SigmaDslBuilder` interface.\n\n2. What is the purpose of the `Colls` object and how can it be used?\n- The `Colls` object is the primary reference to global `Coll` operations and can be used to create collections from arrays, etc.\n\n3. What are the implicit conversions defined in this code and what types do they convert between?\n- The implicit conversions defined in this code convert between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` converts from `java.math.BigInteger` to `BigInt`, while `sigmaBooleanToSigmaProp` converts from `SigmaBoolean` to `SigmaProp`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/summary.json new file mode 100644 index 0000000000..de46fdf032 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval/summary.json @@ -0,0 +1,52 @@ +{ + "folderName": "eval", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "BigIntegerOps.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala", + "summary": "The code provided defines two objects, `OrderingOps` and `NumericOps`, which contain traits and implicit objects for handling ordering and arithmetic operations on BigIntegers. \n\nThe `OrderingOps` object defines two traits, `BigIntegerOrdering` and `BigIntOrdering`, which extend the `Ordering` trait and implement the `compare` method for comparing `BigInteger` and `BigInt` values, respectively. The object also defines implicit objects for each trait, which can be used to provide ordering for `BigInteger` and `BigInt` values in other parts of the code.\n\nThe `NumericOps` object defines two traits, `BigIntIsIntegral` and `BigIntIsExactIntegral`, which extend the `Integral` and `ExactIntegral` traits, respectively, and provide implementations for arithmetic operations on `BigInt` values. The `BigIntIsIntegral` trait defines methods for addition, subtraction, multiplication, negation, and conversion to various numeric types, as well as a `rem` method for computing the remainder of a division operation. The `BigIntIsExactIntegral` trait extends `ExactIntegral` and provides implementations for the same arithmetic operations, as well as a `divisionRemainder` method for computing the remainder of a division operation. \n\nThe `BigIntIsExactOrdering` object extends `ExactOrderingImpl` and provides an implementation of the `compare` method for comparing `BigInt` values using the `BigIntIsIntegral` trait. \n\nOverall, these objects provide a set of tools for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values, which can be used in other parts of the project to perform computations and comparisons involving these types. For example, the `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively.", + "questions": "1. What is the purpose of the `OrderingOps` object?\n- The `OrderingOps` object provides implicit ordering instances for `BigInteger` and `BigInt` types.\n\n2. What is the difference between `BigIntIsIntegral` and `BigIntIsExactIntegral`?\n- `BigIntIsIntegral` provides a base implementation of integral methods for `BigInt`, while `BigIntIsExactIntegral` is an instance of the `ExactIntegral` typeclass for `BigInt` that provides exact arithmetic operations.\n\n3. What is the purpose of the `divisionRemainder` method in `BigIntIsExactIntegral`?\n- The `divisionRemainder` method is used to implement the `%` operation of ErgoTree for all numeric types, including `BigInt`. It corresponds to the `mod` method of `java.math.BigInteger`." + }, + { + "fileName": "CostingDataContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala", + "summary": "This code provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. The main purpose of this code is to provide a way to work with Sigma-State values and operations in a more user-friendly manner, by wrapping them in higher-level abstractions.\n\nThe main classes and traits implemented in this code are:\n\n- `WrapperOf[T]`: A trait for wrapper classes that provide access to the underlying wrapped value of type `T`.\n- `CBigInt`: A default implementation of the `BigInt` interface, wrapping a `BigInteger` value.\n- `CGroupElement`: A default implementation of the `GroupElement` interface, wrapping an `Ecp` value (elliptic curve point).\n- `CSigmaProp`: A default implementation of the `SigmaProp` interface, wrapping a `SigmaBoolean` value.\n- `CAvlTreeVerifier`: An implementation of the `AvlTreeVerifier` trait based on `BatchAVLVerifier`.\n- `CAvlTree`: A default implementation of the `AvlTree` interface, wrapping an `AvlTreeData` value.\n- `CAnyValue`: A default implementation of the `AnyValue` interface, wrapping a value of any type `A`.\n- `CostingBox`: A default implementation of the `Box` interface, wrapping an `ErgoBox` value.\n- `CPreHeader`: A default implementation of the `PreHeader` interface.\n- `CHeader`: A default implementation of the `Header` interface.\n- `CostingSigmaDslBuilder`: A default implementation of the `SigmaDslBuilder` interface, providing methods for constructing Sigma-State values and operations.\n- `CostingDataContext`: A default implementation of the `Context` interface, providing access to various context data and methods.\n\nThese implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods.", + "questions": "1. **Question**: What is the purpose of the `WrapperOf[T]` trait?\n **Answer**: The `WrapperOf[T]` trait is an interface implemented by wrapper classes to provide access to the underlying wrapped value of type `T`. It has a single method `wrappedValue` which returns the data value wrapped by the implementing class.\n\n2. **Question**: How does the `CBigInt` class handle arithmetic operations like addition, subtraction, and multiplication?\n **Answer**: The `CBigInt` class handles arithmetic operations by calling the corresponding methods on the wrapped `BigInteger` value and then wrapping the result back into a `CBigInt` instance. For example, in the `add` method, it calls `wrappedValue.add(...)` and then wraps the result using `dsl.BigInt(...)`. It also ensures that the result is a 256-bit value using the `to256BitValueExact` method.\n\n3. **Question**: How does the `CAvlTree` class handle tree operations like insert, update, and remove?\n **Answer**: The `CAvlTree` class handles tree operations by creating a `CAvlTreeVerifier` instance with the current tree data and then performing the corresponding operation using the `BatchAVLVerifier` methods. For example, in the `insert` method, it calls `bv.performOneOperation(Insert(...))` for each entry to be inserted. After all operations are performed, it updates the tree digest if the operation was successful." + }, + { + "fileName": "Evaluation.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala", + "summary": "The Evaluation object in the sigmastate.eval package provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object contains several methods that are used to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl, which is used during evaluation. \n\nThe stypeToRType method takes an SType object and returns the corresponding RType descriptor of SigmaDsl. The method uses pattern matching to match the SType object with the corresponding RType descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeToSType method takes an RType descriptor of SigmaDsl and returns the corresponding serializable ErgoTree type descriptor. The method uses pattern matching to match the RType descriptor with the corresponding ErgoTree type descriptor. The method also optimizes the conversion process using memoization. \n\nThe rtypeOf method tries to reconstruct the RType of a given value. If successful, it returns the RType descriptor. The method uses pattern matching to match the value with the corresponding RType descriptor. \n\nThe fromDslTuple method converts SigmaDsl representation of a tuple to ErgoTree serializable representation. The method takes a value and a tuple type descriptor and returns a collection of values. \n\nThe toDslTuple method converts ErgoTree serializable representation of a tuple to SigmaDsl representation. The method takes a collection of values and a tuple type descriptor and returns a tuple. \n\nOverall, the Evaluation object provides essential helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object is used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl.", + "questions": "1. What is the purpose of the `Evaluation` object?\n- The `Evaluation` object provides helper methods for evaluating ErgoScript expressions.\n\n2. What is the `addCostChecked` method used for?\n- The `addCostChecked` method is used to accumulate cost while checking if the total cost exceeds a given limit. If the new cost exceeds the limit, a `CostLimitException` is thrown.\n\n3. What is the purpose of the `rtypeOf` method?\n- The `rtypeOf` method tries to reconstruct the `RType` of a given value. If successful, it returns the `RType`. If not, it returns a failure." + }, + { + "fileName": "Exceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala", + "summary": "The code above defines a final class called \"InvalidType\" that extends the built-in Exception class in Scala. The purpose of this class is to provide a custom exception that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. \n\nIn the context of the larger project, this class is likely used in conjunction with other classes and methods in the \"sigmastate.eval\" package to evaluate Sigma expressions. Sigma is a language for writing smart contracts on the blockchain, and the \"sigmastate.eval\" package contains classes and methods for evaluating Sigma expressions in a type-safe manner. \n\nWhen an invalid type is encountered during evaluation, the \"InvalidType\" exception can be thrown with a custom error message. This allows the calling code to handle the exception in a way that is appropriate for the specific use case. For example, if the Sigma expression is part of a smart contract, the exception could be caught and handled in a way that ensures the contract is executed correctly and securely. \n\nHere is an example of how the \"InvalidType\" exception could be used in code:\n\n```\ndef evaluateExpression(expr: SigmaExpr): Any = {\n expr match {\n case IntConstant(i) => i\n case BooleanConstant(b) => b\n case StringConstant(s) => s\n case _ => throw new InvalidType(\"Invalid expression type\")\n }\n}\n```\n\nIn this example, the \"evaluateExpression\" method takes a Sigma expression as input and returns the result of evaluating the expression. If the expression is not an integer, boolean, or string constant, the \"InvalidType\" exception is thrown with a custom error message. This ensures that the calling code can handle the exception appropriately and prevent any unexpected behavior or security vulnerabilities.", + "questions": "1. What is the purpose of the `InvalidType` class?\n \n The `InvalidType` class is an exception class that is used to indicate an invalid type in the Sigma programming language.\n\n2. Why is the `InvalidType` class marked as `final`?\n \n The `final` keyword is used to indicate that the `InvalidType` class cannot be subclassed. This is likely done to prevent unintended modifications to the exception handling behavior.\n\n3. Where is the `InvalidType` class used in the project?\n \n Without additional context, it is difficult to determine where the `InvalidType` class is used in the project. It is possible that it is used in various places throughout the codebase to handle invalid type errors." + }, + { + "fileName": "Extensions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala", + "summary": "The code in this file defines various extension methods and implicit classes that can be used throughout the larger project. These extensions and classes provide additional functionality and convenience methods for working with various data types and structures.\n\nThe `ByteExt`, `IntExt`, and `LongExt` implicit classes provide methods for converting these primitive types to `BigInt`. This can be useful when working with cryptographic operations that require large integers.\n\nThe `ArrayOps` and `EvalIterableOps` implicit classes provide a `toColl` method that converts an array or iterable to a `Coll` object from the `special.collection` package. This can be useful when working with collections in the project.\n\nThe `EvalCollOps` implicit class provides a `toConstant` method that wraps a `Coll` object into a `ConstantNode` with the appropriate `SCollectionType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `DslDataOps` implicit class provides a `toTreeData` method that creates a `Constant` object from any data type that has an associated `RType`. This can be useful when constructing expressions for the Sigma protocol.\n\nThe `toAnyValue` method creates a `CAnyValue` object from any data type that has an associated `RType`. This can be useful when working with generic data types.\n\nThe `ErgoBoxOps` implicit class provides a `toTestBox` method that converts an `ErgoBox` object to a `CostingBox` object. This can be useful when working with boxes in the Ergo platform.\n\nThe `showECPoint` method converts an `Ecp` object to a string representation. This can be useful when working with elliptic curve cryptography.\n\nThe `EcpOps` implicit class provides a `toGroupElement` method that converts an `Ecp` object to a `GroupElement` object from the `special.sigma` package. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `GroupElementOps` implicit class provides a `showToString` method that converts a `GroupElement` object to a string representation. This can be useful when working with elliptic curve cryptography in the Sigma protocol.\n\nThe `DBufferOps` implicit class provides a `sumAll` method that sums all elements in a `DBuffer` object from the `debox` package. This can be useful when working with buffers in the project.\n\nOverall, this file provides a variety of extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures.", + "questions": "1. What is the purpose of the `Extensions` object?\n- The `Extensions` object contains several implicit classes and methods that extend the functionality of existing classes and types.\n\n2. What is the purpose of the `toConstant` method in the `EvalCollOps` class?\n- The `toConstant` method wraps a collection into a `ConstantNode` using the collection's element type, which can be useful for passing collections as arguments to functions that expect constants.\n\n3. What is the purpose of the `showECPoint` method?\n- The `showECPoint` method takes an `Ecp` object and returns a string representation of the point, either \"INF\" if the point is infinity or the result of calling `CryptoFacade.showPoint` on the point otherwise." + }, + { + "fileName": "Profiler.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala", + "summary": "The code defines a simple profiler to measure the average execution times of ErgoTree operations. It consists of several classes and methods to collect, store, and analyze the profile measurements.\n\n`StatHolder` is an abstract class that holds a series of profile measurements associated with a key. It provides methods to compute simple statistics like count, sum, average, and mean.\n\n`StatCollection` is a class that collects profiler measured data points associated with keys. It groups points by key into `StatHolder`s. It provides methods to get the mean value for a given key, add a data point, and map each entry of the collected mapping to a new array of values using a given function.\n\n`Profiler` is the main class that measures the execution times of ErgoTree operations. It maintains a stack of `OpStat` instances, which represent the evaluation of a node in the ErgoTree. The `onBeforeNode` and `onAfterNode` methods are called before and after the evaluation of a node, respectively. These methods update the timing stats for the operations and methods using `addOpTime` and `addMcTime`.\n\nThe `addCostItem` method is used to add the cost item and its execution time to the `costItemsStat` collection. The `addEstimation` and `addJitEstimation` methods are used to add estimated cost and actual measured time data points to the `estimationCostStat` and `measuredTimeStat` collections for a given script.\n\nThe `generateReport` method generates a report containing operation timing tables using the collected execution profile information. It sorts and formats the data into a readable string representation.\n\nIn the larger project, this profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times.", + "questions": "1. **What is the purpose of the `StatHolder` and `StatCollection` classes?**\n\n The `StatHolder` class holds a series of profile measurements associated with a key and allows computing simple statistic data. The `StatCollection` class collects profiler measured data points associated with keys, grouping points by key into `StatHolder`s.\n\n2. **How does the `Profiler` class work and what is its main functionality?**\n\n The `Profiler` class is a simple profiler to measure average execution times of ErgoTree operations. It maintains a stack of `OpStat` objects to track the execution times of operations and provides methods like `onBeforeNode` and `onAfterNode` to be called by the evaluator during the execution of nodes. It also collects and maintains various statistics related to operation timings, method calls, and cost items.\n\n3. **How does the `generateReport` method work and what information does it provide?**\n\n The `generateReport` method generates a report based on the collected execution profile information. It creates tables for operation timings, method calls, cost items, and estimation costs, sorting and formatting the data for better readability. The report provides information about execution times, counts, suggested costs, actual costs, and other relevant details for each operation, method call, and cost item." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval` folder provides essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol. These tools are used throughout the larger project to perform computations, comparisons, and evaluations involving data types such as `BigInteger`, `BigInt`, `ErgoTree`, and `SigmaDsl`.\n\nFor example, the `BigIntegerOps.scala` file provides traits and implicit objects for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values. These tools can be used in other parts of the project to perform computations and comparisons involving these types. The `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively.\n\nThe `CostingDataContext.scala` file provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. These implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods.\n\nThe `Evaluation.scala` file provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. These methods are used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl.\n\nThe `Exceptions.scala` file defines a custom exception class called \"InvalidType\" that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. This allows the calling code to handle the exception in a way that is appropriate for the specific use case.\n\nThe `Extensions.scala` file defines various extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures.\n\nFinally, the `Profiler.scala` file defines a simple profiler to measure the average execution times of ErgoTree operations. This profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times.\n\nOverall, the code in this folder plays a crucial role in the larger project by providing essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.json new file mode 100644 index 0000000000..828cf42fc2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "CompilerExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala", + "summary": "The code provided is a set of exception classes that are used in the Sigma programming language compiler. The Sigma programming language is used to write smart contracts on the Ergo blockchain. The purpose of these exception classes is to provide detailed error messages to the user when an error occurs during the compilation process. \n\nThe `CompilerException` class is the base class for all the other exception classes. It takes in a message, an optional `SourceContext` object, and an optional `Throwable` object. The `SourceContext` object is used to provide information about the location of the error in the source code. The `getMessage` method is overridden to provide a more detailed error message that includes the line number and column where the error occurred.\n\nThe `BinderException`, `TyperException`, `BuilderException`, and `CosterException` classes are all subclasses of `CompilerException`. They are used to represent specific types of errors that can occur during the compilation process. The `BinderException` class is used to represent errors that occur during the binding phase of compilation. The `TyperException` class is used to represent errors that occur during the type checking phase of compilation. The `BuilderException` class is used to represent errors that occur during the construction phase of compilation. The `CosterException` class is used to represent errors that occur during the cost estimation phase of compilation.\n\nOverall, these exception classes are an important part of the Sigma programming language compiler. They provide detailed error messages to the user, which can help them identify and fix errors in their code. Here is an example of how these exception classes might be used in the larger project:\n\n```\ntry {\n // code that compiles Sigma smart contract\n} catch {\n case e: BinderException => println(\"Error during binding phase: \" + e.getMessage)\n case e: TyperException => println(\"Error during type checking phase: \" + e.getMessage)\n case e: BuilderException => println(\"Error during construction phase: \" + e.getMessage)\n case e: CosterException => println(\"Error during cost estimation phase: \" + e.getMessage)\n case e: CompilerException => println(\"Error during compilation: \" + e.getMessage)\n}\n```\n\nIn this example, the code that compiles the Sigma smart contract is wrapped in a try-catch block. If an exception is thrown during the compilation process, the appropriate exception class is caught and a detailed error message is printed to the console.", + "questions": "1. What is the purpose of the `CompilerException` class?\n \n The `CompilerException` class is a custom exception class that extends `SigmaException` and is used to handle exceptions that occur during the compilation process of the Sigma programming language. It takes a message, an optional source context, and an optional cause as parameters.\n\n2. What are the differences between the `BinderException`, `TyperException`, and `BuilderException` classes?\n\n The `BinderException`, `TyperException`, and `BuilderException` classes are all custom exception classes that extend `CompilerException`. They are used to handle exceptions that occur during the binding, typing, and building phases of the compilation process, respectively. Each class takes a message and an optional source context as parameters.\n\n3. What is the purpose of the `CosterException` class?\n\n The `CosterException` class is a custom exception class that extends `CompilerException` and is used to handle exceptions that occur during the cost estimation phase of the compilation process. It takes a message, an optional source context, and an optional cause as parameters." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.json new file mode 100644 index 0000000000..15e1dea8bc --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConstraintFailed.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala", + "summary": "The code above defines a class called `ConstraintFailed` that extends the `BuilderException` class. The purpose of this class is to represent an exception that occurs when a constraint is not satisfied in the context of the Sigma state language. \n\nThe `ConstraintFailed` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThis class is part of the `sigmastate.exceptions` package, which is likely used throughout the larger project to handle exceptions related to the Sigma state language. \n\nHere is an example of how this class might be used in the larger project:\n\n```scala\nimport sigmastate.exceptions.ConstraintFailed\nimport sigmastate.lang.SourceContext\n\ndef checkConstraint(value: Int): Unit = {\n if (value < 0) {\n throw new ConstraintFailed(\"Value must be greater than or equal to 0\", Some(SourceContext.current()))\n }\n}\n\ntry {\n checkConstraint(-1)\n} catch {\n case e: ConstraintFailed => println(e.getMessage)\n}\n```\n\nIn this example, the `checkConstraint` function checks if a given value is greater than or equal to 0. If the value is less than 0, a `ConstraintFailed` exception is thrown with an appropriate error message and source context. The exception is then caught and the error message is printed to the console. \n\nOverall, the `ConstraintFailed` class is an important part of the larger project's error handling system for the Sigma state language. It allows developers to easily handle exceptions related to constraints not being satisfied.", + "questions": "1. What is the purpose of the `ConstraintFailed` class?\n \n The `ConstraintFailed` class is a final class that extends the `BuilderException` class and is used to represent an exception that occurs when a constraint fails.\n\n2. What is the significance of the `source` parameter in the `ConstraintFailed` constructor?\n \n The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes.\n\n3. What is the relationship between the `ConstraintFailed` class and the `sigmastate.exceptions` package?\n \n The `ConstraintFailed` class is defined within the `sigmastate.exceptions` package, which suggests that it is part of a larger set of exception classes that are specific to the `sigmastate` module." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.json new file mode 100644 index 0000000000..5b1d4a638d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.json @@ -0,0 +1,7 @@ +{ + "fileName": "InvalidArguments.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala", + "summary": "The code above defines a class called `InvalidArguments` that extends the `BinderException` class. This class is located in the `sigmastate.exceptions` package. The purpose of this class is to represent an exception that occurs when invalid arguments are passed to a function or method. \n\nThe `InvalidArguments` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThe `InvalidArguments` class is marked as `final`, which means that it cannot be extended by any other class. This is likely done to ensure that the behavior of the exception is consistent across the entire project. \n\nThis class can be used in the larger project to handle exceptions that occur when invalid arguments are passed to functions or methods. For example, if a function expects an integer as an argument, but a string is passed instead, the `InvalidArguments` exception can be thrown with an appropriate error message. \n\nHere is an example of how this class can be used:\n\n```scala\ndef divide(a: Int, b: Int): Int = {\n if (b == 0) {\n throw new InvalidArguments(\"Cannot divide by zero\")\n }\n a / b\n}\n```\n\nIn the example above, the `divide` function checks if the `b` parameter is zero. If it is, the `InvalidArguments` exception is thrown with the error message \"Cannot divide by zero\". This ensures that the function does not attempt to divide by zero, which would result in a runtime error. \n\nOverall, the `InvalidArguments` class is an important part of the project's error handling mechanism. It allows developers to handle exceptions related to invalid arguments in a consistent and predictable way.", + "questions": "1. What is the purpose of the `InvalidArguments` class?\n \n The `InvalidArguments` class is a custom exception class that extends the `BinderException` class. It is used to handle errors related to invalid arguments passed to a function or method.\n\n2. What is the significance of the `SourceContext` parameter in the constructor of `InvalidArguments`?\n\n The `SourceContext` parameter is an optional parameter that can be used to provide additional context information about where the exception occurred in the source code. This can be useful for debugging purposes.\n\n3. What other exceptions does the `sigmastate.exceptions` package contain?\n\n Without further information, it is impossible to determine what other exceptions the `sigmastate.exceptions` package contains. However, it is likely that it contains other custom exception classes that are used to handle specific types of errors in the `sigmastate` library." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.json new file mode 100644 index 0000000000..e8b1441484 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala", + "summary": "The code above defines several exception classes that are used in the larger project. These exceptions are used to handle errors that may occur during the execution of the project. \n\nThe `SigmaException` class is the base class for all the exceptions defined in this file. It takes in a message and an optional cause, which is a Throwable object that caused the exception. This class extends the built-in `Exception` class in Scala.\n\nThe `SerializerException` class is a subclass of `SigmaException` and is used to handle errors that occur during serialization. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `InterpreterException` class is another subclass of `SigmaException` and is used to handle errors that occur during interpretation. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `CostLimitException` class is also a subclass of `SigmaException` and is used to handle errors that occur when the estimated cost of executing a program exceeds a certain limit. It takes in an estimated cost, a message, and an optional cause. The estimated cost is a long value that represents the estimated cost of executing a program, while the message is a string that describes the error. \n\nThe `CostLimitException` class also defines a companion object that contains a single method called `msgCostLimitError`. This method takes in two `JitCost` objects, `cost` and `limit`, and returns a string that describes the error. This method is used to generate error messages when a `CostLimitException` is thrown.\n\nOverall, this code provides a set of exception classes that can be used to handle errors that may occur during the execution of the larger project. These exceptions can be thrown when an error occurs, and the appropriate error message can be generated using the methods provided by these classes. For example, if the estimated cost of executing a program exceeds a certain limit, a `CostLimitException` can be thrown with an appropriate error message generated using the `msgCostLimitError` method.", + "questions": "1. What is the purpose of the `SigmaException` class and its subclasses?\n- The `SigmaException` class and its subclasses (`SerializerException`, `InterpreterException`, and `CostLimitException`) are used to represent different types of exceptions that can occur in the `sigmastate` package.\n\n2. What is the `CostLimitException` class used for?\n- The `CostLimitException` class is used to represent an exception that occurs when the estimated execution cost of a program exceeds a specified limit.\n\n3. What is the `msgCostLimitError` method in the `CostLimitException` object used for?\n- The `msgCostLimitError` method in the `CostLimitException` object is used to generate an error message for a `CostLimitException` instance, given the estimated cost and the limit." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.json new file mode 100644 index 0000000000..729067b1a8 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaSerializerExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala", + "summary": "This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle specific error scenarios that may occur during serialization and deserialization of data. \n\nThe first exception, `InvalidTypePrefix`, is thrown by the `TypeSerializer` class when the type prefix is less than or equal to zero. This exception is used to handle cases where the type prefix is invalid, which can occur when the serialized data is corrupted or malformed. \n\nThe second exception, `ReaderPositionLimitExceeded`, is thrown when the current reader position is greater than the position limit set in the `Reader` class. This exception is used to handle cases where the serialized data is too large or exceeds the specified limit. \n\nThe third exception, `DeserializeCallDepthExceeded`, is thrown when the current depth level is greater than the maximum depth level set in the `Reader` class. This exception is used to handle cases where the serialized data contains too many nested structures, which can cause a stack overflow or other memory-related issues. \n\nThe fourth exception, `InvalidOpCode`, is thrown by the `ValidationRules.CheckValidOpCode` validation rule. This exception is used to handle cases where the serialized data contains an invalid opcode, which can occur when the data is corrupted or malformed. \n\nOverall, these custom exceptions are an important part of the larger project as they provide a way to handle specific error scenarios that may occur during serialization and deserialization of data. By using these exceptions, the project can ensure that errors are handled in a consistent and predictable manner, which can help to improve the overall reliability and stability of the system. \n\nExample usage of these exceptions in the project may look like this:\n\n```\ntry {\n // code that performs serialization or deserialization\n} catch {\n case e: InvalidTypePrefix => // handle invalid type prefix error\n case e: ReaderPositionLimitExceeded => // handle reader position limit exceeded error\n case e: DeserializeCallDepthExceeded => // handle deserialize call depth exceeded error\n case e: InvalidOpCode => // handle invalid opcode error\n case _ => // handle other errors\n}\n```", + "questions": "1. What is the purpose of the `SerializerException` class?\n - The `SerializerException` class is the parent class for all the exceptions defined in this file and is used to handle exceptions related to serialization.\n\n2. What are the different types of exceptions defined in this file and when are they thrown?\n - The different types of exceptions defined in this file are `InvalidTypePrefix`, `ReaderPositionLimitExceeded`, `DeserializeCallDepthExceeded`, and `InvalidOpCode`. They are thrown when the type prefix is less than or equal to 0, the current reader position exceeds the position limit, the current depth level exceeds the maximum depth level, and the opcode is invalid respectively.\n\n3. What is the purpose of the `cause` parameter in the exception classes?\n - The `cause` parameter is an optional parameter that can be used to specify the underlying cause of the exception. It can be used to provide additional information about the exception to aid in debugging." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.json new file mode 100644 index 0000000000..c9b824318a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaTyperExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala", + "summary": "This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle errors related to invalid binary and unary operation parameters, method not found, and non-applicable method. \n\nThe `InvalidBinaryOperationParameters` and `InvalidUnaryOperationParameters` classes are used to handle errors that occur when the parameters passed to a binary or unary operation are invalid. These exceptions are thrown when the type of the parameters is not compatible with the operation being performed. For example, if the code tries to perform a binary operation on two values of different types, an `InvalidBinaryOperationParameters` exception will be thrown.\n\nThe `MethodNotFound` class is used to handle errors that occur when a method is not found. This exception is thrown when the code tries to call a method that does not exist. For example, if the code tries to call a method that has been misspelled or does not exist in the current context, a `MethodNotFound` exception will be thrown.\n\nThe `NonApplicableMethod` class is used to handle errors that occur when a method is not applicable. This exception is thrown when the code tries to call a method with parameters that are not compatible with the method's signature. For example, if the code tries to call a method that expects an integer parameter with a string parameter, a `NonApplicableMethod` exception will be thrown.\n\nOverall, these custom exception classes are an important part of the larger project as they help to handle errors that occur during the execution of the code. By defining these custom exceptions, the code can provide more detailed error messages to the user, making it easier to identify and fix issues. \n\nExample usage:\n\n```\ntry {\n // perform a binary operation with invalid parameters\n val result = 5 + \"hello\"\n} catch {\n case e: InvalidBinaryOperationParameters => println(e.getMessage)\n}\n\ntry {\n // call a non-existent method\n val result = someObject.nonExistentMethod()\n} catch {\n case e: MethodNotFound => println(e.getMessage)\n}\n\ntry {\n // call a method with non-applicable parameters\n val result = someObject.someMethod(\"hello\")\n} catch {\n case e: NonApplicableMethod => println(e.getMessage)\n}\n```", + "questions": "1. What is the purpose of the `sigmastate.exceptions` package?\n- The `sigmastate.exceptions` package contains classes that define custom exceptions related to type checking in the Sigma programming language.\n\n2. What is the parent class of the `InvalidBinaryOperationParameters`, `InvalidUnaryOperationParameters`, `MethodNotFound`, and `NonApplicableMethod` classes?\n- The parent class of these classes is `TyperException`.\n\n3. What is the significance of the `source` parameter in the constructor of each of these classes?\n- The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.json new file mode 100644 index 0000000000..56dd4cbdaf --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.json @@ -0,0 +1,52 @@ +{ + "folderName": "exceptions", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions", + "files": [ + { + "fileName": "CompilerExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala", + "summary": "The code provided is a set of exception classes that are used in the Sigma programming language compiler. The Sigma programming language is used to write smart contracts on the Ergo blockchain. The purpose of these exception classes is to provide detailed error messages to the user when an error occurs during the compilation process. \n\nThe `CompilerException` class is the base class for all the other exception classes. It takes in a message, an optional `SourceContext` object, and an optional `Throwable` object. The `SourceContext` object is used to provide information about the location of the error in the source code. The `getMessage` method is overridden to provide a more detailed error message that includes the line number and column where the error occurred.\n\nThe `BinderException`, `TyperException`, `BuilderException`, and `CosterException` classes are all subclasses of `CompilerException`. They are used to represent specific types of errors that can occur during the compilation process. The `BinderException` class is used to represent errors that occur during the binding phase of compilation. The `TyperException` class is used to represent errors that occur during the type checking phase of compilation. The `BuilderException` class is used to represent errors that occur during the construction phase of compilation. The `CosterException` class is used to represent errors that occur during the cost estimation phase of compilation.\n\nOverall, these exception classes are an important part of the Sigma programming language compiler. They provide detailed error messages to the user, which can help them identify and fix errors in their code. Here is an example of how these exception classes might be used in the larger project:\n\n```\ntry {\n // code that compiles Sigma smart contract\n} catch {\n case e: BinderException => println(\"Error during binding phase: \" + e.getMessage)\n case e: TyperException => println(\"Error during type checking phase: \" + e.getMessage)\n case e: BuilderException => println(\"Error during construction phase: \" + e.getMessage)\n case e: CosterException => println(\"Error during cost estimation phase: \" + e.getMessage)\n case e: CompilerException => println(\"Error during compilation: \" + e.getMessage)\n}\n```\n\nIn this example, the code that compiles the Sigma smart contract is wrapped in a try-catch block. If an exception is thrown during the compilation process, the appropriate exception class is caught and a detailed error message is printed to the console.", + "questions": "1. What is the purpose of the `CompilerException` class?\n \n The `CompilerException` class is a custom exception class that extends `SigmaException` and is used to handle exceptions that occur during the compilation process of the Sigma programming language. It takes a message, an optional source context, and an optional cause as parameters.\n\n2. What are the differences between the `BinderException`, `TyperException`, and `BuilderException` classes?\n\n The `BinderException`, `TyperException`, and `BuilderException` classes are all custom exception classes that extend `CompilerException`. They are used to handle exceptions that occur during the binding, typing, and building phases of the compilation process, respectively. Each class takes a message and an optional source context as parameters.\n\n3. What is the purpose of the `CosterException` class?\n\n The `CosterException` class is a custom exception class that extends `CompilerException` and is used to handle exceptions that occur during the cost estimation phase of the compilation process. It takes a message, an optional source context, and an optional cause as parameters." + }, + { + "fileName": "ConstraintFailed.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala", + "summary": "The code above defines a class called `ConstraintFailed` that extends the `BuilderException` class. The purpose of this class is to represent an exception that occurs when a constraint is not satisfied in the context of the Sigma state language. \n\nThe `ConstraintFailed` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThis class is part of the `sigmastate.exceptions` package, which is likely used throughout the larger project to handle exceptions related to the Sigma state language. \n\nHere is an example of how this class might be used in the larger project:\n\n```scala\nimport sigmastate.exceptions.ConstraintFailed\nimport sigmastate.lang.SourceContext\n\ndef checkConstraint(value: Int): Unit = {\n if (value < 0) {\n throw new ConstraintFailed(\"Value must be greater than or equal to 0\", Some(SourceContext.current()))\n }\n}\n\ntry {\n checkConstraint(-1)\n} catch {\n case e: ConstraintFailed => println(e.getMessage)\n}\n```\n\nIn this example, the `checkConstraint` function checks if a given value is greater than or equal to 0. If the value is less than 0, a `ConstraintFailed` exception is thrown with an appropriate error message and source context. The exception is then caught and the error message is printed to the console. \n\nOverall, the `ConstraintFailed` class is an important part of the larger project's error handling system for the Sigma state language. It allows developers to easily handle exceptions related to constraints not being satisfied.", + "questions": "1. What is the purpose of the `ConstraintFailed` class?\n \n The `ConstraintFailed` class is a final class that extends the `BuilderException` class and is used to represent an exception that occurs when a constraint fails.\n\n2. What is the significance of the `source` parameter in the `ConstraintFailed` constructor?\n \n The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes.\n\n3. What is the relationship between the `ConstraintFailed` class and the `sigmastate.exceptions` package?\n \n The `ConstraintFailed` class is defined within the `sigmastate.exceptions` package, which suggests that it is part of a larger set of exception classes that are specific to the `sigmastate` module." + }, + { + "fileName": "InvalidArguments.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala", + "summary": "The code above defines a class called `InvalidArguments` that extends the `BinderException` class. This class is located in the `sigmastate.exceptions` package. The purpose of this class is to represent an exception that occurs when invalid arguments are passed to a function or method. \n\nThe `InvalidArguments` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. \n\nThe `InvalidArguments` class is marked as `final`, which means that it cannot be extended by any other class. This is likely done to ensure that the behavior of the exception is consistent across the entire project. \n\nThis class can be used in the larger project to handle exceptions that occur when invalid arguments are passed to functions or methods. For example, if a function expects an integer as an argument, but a string is passed instead, the `InvalidArguments` exception can be thrown with an appropriate error message. \n\nHere is an example of how this class can be used:\n\n```scala\ndef divide(a: Int, b: Int): Int = {\n if (b == 0) {\n throw new InvalidArguments(\"Cannot divide by zero\")\n }\n a / b\n}\n```\n\nIn the example above, the `divide` function checks if the `b` parameter is zero. If it is, the `InvalidArguments` exception is thrown with the error message \"Cannot divide by zero\". This ensures that the function does not attempt to divide by zero, which would result in a runtime error. \n\nOverall, the `InvalidArguments` class is an important part of the project's error handling mechanism. It allows developers to handle exceptions related to invalid arguments in a consistent and predictable way.", + "questions": "1. What is the purpose of the `InvalidArguments` class?\n \n The `InvalidArguments` class is a custom exception class that extends the `BinderException` class. It is used to handle errors related to invalid arguments passed to a function or method.\n\n2. What is the significance of the `SourceContext` parameter in the constructor of `InvalidArguments`?\n\n The `SourceContext` parameter is an optional parameter that can be used to provide additional context information about where the exception occurred in the source code. This can be useful for debugging purposes.\n\n3. What other exceptions does the `sigmastate.exceptions` package contain?\n\n Without further information, it is impossible to determine what other exceptions the `sigmastate.exceptions` package contains. However, it is likely that it contains other custom exception classes that are used to handle specific types of errors in the `sigmastate` library." + }, + { + "fileName": "SigmaExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala", + "summary": "The code above defines several exception classes that are used in the larger project. These exceptions are used to handle errors that may occur during the execution of the project. \n\nThe `SigmaException` class is the base class for all the exceptions defined in this file. It takes in a message and an optional cause, which is a Throwable object that caused the exception. This class extends the built-in `Exception` class in Scala.\n\nThe `SerializerException` class is a subclass of `SigmaException` and is used to handle errors that occur during serialization. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `InterpreterException` class is another subclass of `SigmaException` and is used to handle errors that occur during interpretation. It takes in a message and an optional cause, just like `SigmaException`.\n\nThe `CostLimitException` class is also a subclass of `SigmaException` and is used to handle errors that occur when the estimated cost of executing a program exceeds a certain limit. It takes in an estimated cost, a message, and an optional cause. The estimated cost is a long value that represents the estimated cost of executing a program, while the message is a string that describes the error. \n\nThe `CostLimitException` class also defines a companion object that contains a single method called `msgCostLimitError`. This method takes in two `JitCost` objects, `cost` and `limit`, and returns a string that describes the error. This method is used to generate error messages when a `CostLimitException` is thrown.\n\nOverall, this code provides a set of exception classes that can be used to handle errors that may occur during the execution of the larger project. These exceptions can be thrown when an error occurs, and the appropriate error message can be generated using the methods provided by these classes. For example, if the estimated cost of executing a program exceeds a certain limit, a `CostLimitException` can be thrown with an appropriate error message generated using the `msgCostLimitError` method.", + "questions": "1. What is the purpose of the `SigmaException` class and its subclasses?\n- The `SigmaException` class and its subclasses (`SerializerException`, `InterpreterException`, and `CostLimitException`) are used to represent different types of exceptions that can occur in the `sigmastate` package.\n\n2. What is the `CostLimitException` class used for?\n- The `CostLimitException` class is used to represent an exception that occurs when the estimated execution cost of a program exceeds a specified limit.\n\n3. What is the `msgCostLimitError` method in the `CostLimitException` object used for?\n- The `msgCostLimitError` method in the `CostLimitException` object is used to generate an error message for a `CostLimitException` instance, given the estimated cost and the limit." + }, + { + "fileName": "SigmaSerializerExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala", + "summary": "This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle specific error scenarios that may occur during serialization and deserialization of data. \n\nThe first exception, `InvalidTypePrefix`, is thrown by the `TypeSerializer` class when the type prefix is less than or equal to zero. This exception is used to handle cases where the type prefix is invalid, which can occur when the serialized data is corrupted or malformed. \n\nThe second exception, `ReaderPositionLimitExceeded`, is thrown when the current reader position is greater than the position limit set in the `Reader` class. This exception is used to handle cases where the serialized data is too large or exceeds the specified limit. \n\nThe third exception, `DeserializeCallDepthExceeded`, is thrown when the current depth level is greater than the maximum depth level set in the `Reader` class. This exception is used to handle cases where the serialized data contains too many nested structures, which can cause a stack overflow or other memory-related issues. \n\nThe fourth exception, `InvalidOpCode`, is thrown by the `ValidationRules.CheckValidOpCode` validation rule. This exception is used to handle cases where the serialized data contains an invalid opcode, which can occur when the data is corrupted or malformed. \n\nOverall, these custom exceptions are an important part of the larger project as they provide a way to handle specific error scenarios that may occur during serialization and deserialization of data. By using these exceptions, the project can ensure that errors are handled in a consistent and predictable manner, which can help to improve the overall reliability and stability of the system. \n\nExample usage of these exceptions in the project may look like this:\n\n```\ntry {\n // code that performs serialization or deserialization\n} catch {\n case e: InvalidTypePrefix => // handle invalid type prefix error\n case e: ReaderPositionLimitExceeded => // handle reader position limit exceeded error\n case e: DeserializeCallDepthExceeded => // handle deserialize call depth exceeded error\n case e: InvalidOpCode => // handle invalid opcode error\n case _ => // handle other errors\n}\n```", + "questions": "1. What is the purpose of the `SerializerException` class?\n - The `SerializerException` class is the parent class for all the exceptions defined in this file and is used to handle exceptions related to serialization.\n\n2. What are the different types of exceptions defined in this file and when are they thrown?\n - The different types of exceptions defined in this file are `InvalidTypePrefix`, `ReaderPositionLimitExceeded`, `DeserializeCallDepthExceeded`, and `InvalidOpCode`. They are thrown when the type prefix is less than or equal to 0, the current reader position exceeds the position limit, the current depth level exceeds the maximum depth level, and the opcode is invalid respectively.\n\n3. What is the purpose of the `cause` parameter in the exception classes?\n - The `cause` parameter is an optional parameter that can be used to specify the underlying cause of the exception. It can be used to provide additional information about the exception to aid in debugging." + }, + { + "fileName": "SigmaTyperExceptions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala", + "summary": "This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle errors related to invalid binary and unary operation parameters, method not found, and non-applicable method. \n\nThe `InvalidBinaryOperationParameters` and `InvalidUnaryOperationParameters` classes are used to handle errors that occur when the parameters passed to a binary or unary operation are invalid. These exceptions are thrown when the type of the parameters is not compatible with the operation being performed. For example, if the code tries to perform a binary operation on two values of different types, an `InvalidBinaryOperationParameters` exception will be thrown.\n\nThe `MethodNotFound` class is used to handle errors that occur when a method is not found. This exception is thrown when the code tries to call a method that does not exist. For example, if the code tries to call a method that has been misspelled or does not exist in the current context, a `MethodNotFound` exception will be thrown.\n\nThe `NonApplicableMethod` class is used to handle errors that occur when a method is not applicable. This exception is thrown when the code tries to call a method with parameters that are not compatible with the method's signature. For example, if the code tries to call a method that expects an integer parameter with a string parameter, a `NonApplicableMethod` exception will be thrown.\n\nOverall, these custom exception classes are an important part of the larger project as they help to handle errors that occur during the execution of the code. By defining these custom exceptions, the code can provide more detailed error messages to the user, making it easier to identify and fix issues. \n\nExample usage:\n\n```\ntry {\n // perform a binary operation with invalid parameters\n val result = 5 + \"hello\"\n} catch {\n case e: InvalidBinaryOperationParameters => println(e.getMessage)\n}\n\ntry {\n // call a non-existent method\n val result = someObject.nonExistentMethod()\n} catch {\n case e: MethodNotFound => println(e.getMessage)\n}\n\ntry {\n // call a method with non-applicable parameters\n val result = someObject.someMethod(\"hello\")\n} catch {\n case e: NonApplicableMethod => println(e.getMessage)\n}\n```", + "questions": "1. What is the purpose of the `sigmastate.exceptions` package?\n- The `sigmastate.exceptions` package contains classes that define custom exceptions related to type checking in the Sigma programming language.\n\n2. What is the parent class of the `InvalidBinaryOperationParameters`, `InvalidUnaryOperationParameters`, `MethodNotFound`, and `NonApplicableMethod` classes?\n- The parent class of these classes is `TyperException`.\n\n3. What is the significance of the `source` parameter in the constructor of each of these classes?\n- The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions` folder contains exception classes that are used to handle errors in the Sigma programming language compiler, which is used for writing smart contracts on the Ergo blockchain. These exception classes provide detailed error messages to help users identify and fix errors in their code.\n\nFor example, the `CompilerExceptions.scala` file contains the base `CompilerException` class and its subclasses, which represent specific types of errors that can occur during the compilation process. These subclasses include `BinderException`, `TyperException`, `BuilderException`, and `CosterException`. They can be used in a try-catch block to catch and handle errors during different phases of the compilation process:\n\n```scala\ntry {\n // code that compiles Sigma smart contract\n} catch {\n case e: BinderException => println(\"Error during binding phase: \" + e.getMessage)\n case e: TyperException => println(\"Error during type checking phase: \" + e.getMessage)\n case e: BuilderException => println(\"Error during construction phase: \" + e.getMessage)\n case e: CosterException => println(\"Error during cost estimation phase: \" + e.getMessage)\n case e: CompilerException => println(\"Error during compilation: \" + e.getMessage)\n}\n```\n\nOther exception classes in this folder, such as `ConstraintFailed`, `InvalidArguments`, and the exceptions in `SigmaExceptions.scala`, handle specific error scenarios related to the Sigma state language, invalid arguments, and execution errors. These exceptions can be used in the larger project to handle errors in a consistent and predictable manner, improving the overall reliability and stability of the system.\n\nFor instance, the `InvalidArguments` exception can be used to handle cases where a function receives an invalid argument:\n\n```scala\ndef divide(a: Int, b: Int): Int = {\n if (b == 0) {\n throw new InvalidArguments(\"Cannot divide by zero\")\n }\n a / b\n}\n```\n\nIn summary, the exception classes in this folder play a crucial role in the error handling mechanism of the larger project. They help developers handle errors related to the Sigma programming language, invalid arguments, and execution issues in a consistent and predictable way, ultimately improving the overall reliability and stability of the system.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.json new file mode 100644 index 0000000000..622804831e --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.json @@ -0,0 +1,7 @@ +{ + "fileName": "CostAccumulator.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala", + "summary": "The code defines two classes, `CostCounter` and `CostAccumulator`, which are used to track the cost of executing a program. \n\n`CostCounter` is a simple class that encapsulates a monotonic counter that can only be incremented. It has an initial cost value, which is set when the counter is created, and a current cost value, which is updated each time the counter is incremented. The `resetCost()` method can be used to reset the current cost value to the initial value.\n\n`CostAccumulator` is a more complex class that implements a finite state machine with a stack of graph blocks (scopes), which correspond to lambdas and thunks. It accepts messages: `startScope()`, `endScope()`, `add()`, and `reset()`. At any time, `totalCost` is the currently accumulated cost.\n\nThe `Scope` class represents a single scope during execution of the graph. When the evaluation enters a new scope (e.g. calling a lambda), a new `Scope` instance is created and pushed to the `_scopeStack`, then it starts receiving `add` method calls. When the evaluation leaves the scope, the top is popped off the stack. The `add` method is called once for each operation of a scope (lambda or thunk), and it updates the current cost of the current scope. If the current accumulated cost exceeds the `costLimit`, a `CostLimitException` is thrown.\n\nThe `reset()` method resets the accumulator into its initial state to be ready for new graph execution. The `totalCost` method returns the total accumulated cost.\n\nOverall, these classes are used to track the cost of executing a program and ensure that it does not exceed a certain limit. They can be used in the larger project to optimize the execution of the program and prevent it from consuming too many resources. For example, the `CostAccumulator` class could be used to optimize the execution of smart contracts on a blockchain by limiting their resource consumption.", + "questions": "1. What is the purpose of the `CostCounter` class?\n- The `CostCounter` class encapsulates a simple monotonic counter with reset and is used to keep track of the current cost.\n\n2. What is the purpose of the `Scope` class?\n- The `Scope` class represents a single scope during execution of the graph and is used to accumulate costs for each operation of a scope.\n\n3. What is the purpose of the `CostAccumulator` class?\n- The `CostAccumulator` class implements a finite state machine with a stack of graph blocks (scopes) and is used to accumulate costs for each operation of a scope. It also checks if the accumulated cost exceeds the cost limit and throws a `CostLimitException` if it does." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.json new file mode 100644 index 0000000000..f82a6cfa8a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.json @@ -0,0 +1,7 @@ +{ + "fileName": "CostDetails.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala", + "summary": "The code defines an abstract representation of cost results obtained during evaluation. It provides two concrete implementations of the abstract class `CostDetails`: `TracedCost` and `GivenCost`. The former is used to represent detailed results of cost evaluation, while the latter is used to represent the cost of Ahead-Of-Time (AOT) costing. \n\nThe `CostDetails` class has three methods: `cost`, `trace`, and `actualTimeNano`. The `cost` method returns the total cost of evaluation, which is a `JitCost` object. The `trace` method returns the trace of costed operations performed during evaluation, which is a sequence of `CostItem` objects. The `actualTimeNano` method returns the actual execution time (in nanoseconds) if defined. \n\nThe `TracedCost` class extends `CostDetails` and has two fields: `trace` and `actualTimeNano`. The `trace` field is the accumulated trace of all cost items obtained during execution of `ErgoTree` operations. The `actualTimeNano` field is the measured time of execution (if some). The `cost` method of `TracedCost` calculates the total cost of all cost items by iterating over the `trace` sequence and summing up the costs of each `CostItem`. \n\nThe `GivenCost` class also extends `CostDetails` and has one field: `cost`. The `cost` field is the given value of the total cost obtained from AOT costing. The `actualTimeNano` field is the measured time of execution (if some). The `trace` method of `GivenCost` returns an empty sequence of `CostItem` objects since there is no trace available for AOT costing. \n\nThe `CostDetails` object provides three methods: `EmptyTrace`, `ZeroCost`, and `apply`. The `EmptyTrace` method returns an empty sequence of `CostItem` objects and should be used whenever possible to avoid allocations. The `ZeroCost` method returns a `TracedCost` object with an empty trace and zero total cost. The `apply` method is a helper factory method to create `CostDetails` objects from the given trace. \n\nThe `unapply` method of `CostDetails` is a helper recognizer to work with different representations of costs in patterns uniformly. It takes a `CostDetails` object as input and returns an `Option` of a tuple containing the total cost and the trace of cost items. It matches the input object against `TracedCost` and `GivenCost` and returns the appropriate tuple based on the type of the input object. \n\nOverall, this code provides a way to represent and manipulate cost results obtained during evaluation in a flexible and extensible manner. It can be used in the larger project to optimize the performance of `ErgoTree` operations and reduce the computational cost of evaluating complex scripts. \n\nExample usage:\n\n```\nval trace = Seq(CostItem(op1, cost1), CostItem(op2, cost2), CostItem(op3, cost3))\nval costDetails = CostDetails(trace)\nval totalCost = costDetails.cost\nval traceItems = costDetails.trace\nval actualTime = costDetails.actualTimeNano.getOrElse(0L)\n```", + "questions": "1. What is the purpose of the `CostDetails` class and its subclasses?\n- The `CostDetails` class and its subclasses are used to represent the results of cost evaluation during code execution, including the total cost, trace of costed operations, and actual execution time.\n\n2. What is the difference between `TracedCost` and `GivenCost`?\n- `TracedCost` represents the detailed results of cost evaluation obtained during execution of `ErgoTree` operations, while `GivenCost` represents the cost of AOT (ahead-of-time) costing using a given value.\n\n3. What is the purpose of the `unapply` method in the `CostDetails` object?\n- The `unapply` method is a helper recognizer that allows for working with different representations of costs in patterns uniformly, by matching against the `CostDetails` subclasses and returning a tuple of the total cost and trace of costed operations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.json new file mode 100644 index 0000000000..aeb3d8a513 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.json @@ -0,0 +1,7 @@ +{ + "fileName": "CostItem.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala", + "summary": "This code defines several classes and objects that represent different types of cost items in the context of evaluating an ErgoTree, which is a data structure used in the Ergo blockchain. The purpose of these cost items is to track the cost of evaluating an ErgoTree, which is important for determining transaction fees and preventing denial-of-service attacks.\n\nThe `CostItem` abstract class defines the basic structure of a cost item, with two properties: `opName`, which is a string representing the name of the operation being performed, and `cost`, which is a `JitCost` object representing the cost of the operation.\n\nThe `FixedCostItem` class represents the cost of a simple operation that has a fixed cost, such as adding two numbers together. It takes an `OperationDesc` object and a `FixedCost` object as parameters, which describe the operation being performed and the cost of that operation, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the fixed cost.\n\nThe `TypeBasedCostItem` class represents the cost of an operation that depends on the type of the arguments being passed in, such as comparing two values of different types. It takes an `OperationDesc` object, a `TypeBasedCost` object, and an `SType` object as parameters, which describe the operation being performed, the cost of that operation based on the type of the arguments, and the concrete type on which the operation is being executed, respectively. The `opName` property is set to the name of the operation followed by the concrete type, and the `cost` property is set to the cost of the operation based on the concrete type.\n\nThe `SeqCostItem` class represents the cost of a sequence of operations, such as iterating over a collection of values. It takes an `OperationDesc` object, a `PerItemCost` object, and an integer representing the number of items in the sequence as parameters, which describe the operation being performed, the cost of that operation per item, and the number of items in the sequence, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the cost of the operation multiplied by the number of items in the sequence.\n\nThe `MethodCallCostItem` class represents the cost of a method call operation, which is a special type of operation that calls a method on an object. It takes a `CostDetails` object as a parameter, which contains the cost details obtained as part of the method call evaluation. The `opName` property is set to the name of the method call operation, and the `cost` property is set to the cost of the method call.\n\nOverall, these classes and objects provide a way to track the cost of evaluating an ErgoTree, which is important for ensuring the security and stability of the Ergo blockchain. They can be used for debugging, testing, and profiling of costing, and can be integrated into larger projects that involve ErgoTree evaluation. For example, a transaction validation system might use these cost items to determine the transaction fee and prevent denial-of-service attacks.", + "questions": "1. What is the purpose of the `CostItem` class and its subclasses?\n- The `CostItem` class and its subclasses represent items in the cost accumulation trace of an `ErgoTree` evaluation, used for debugging, testing, and profiling of costing.\n\n2. What is the difference between `FixedCostItem` and `TypeBasedCostItem`?\n- `FixedCostItem` represents the cost of a simple operation, while `TypeBasedCostItem` represents the cost of an operation that depends on type (e.g. type of arguments).\n\n3. What is the purpose of the `SeqCostItem` class and its `chunks` method?\n- The `SeqCostItem` class represents the cost of a sequence of operations, and the `chunks` method returns the number of data chunks in this cost item." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.json new file mode 100644 index 0000000000..cef1d23216 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoTreeEvaluator.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala", + "summary": "The `ErgoTreeEvaluator` class in this code is a simple and fast direct-style interpreter for ErgoTrees. ErgoTree is a declarative intermediate representation for Ergo contracts, designed to be compact in serialized form and directly executable. The interpreter works directly with ErgoTree's higher-order abstract syntax (HOAS) and follows its denotational semantics.\n\nThe main method of the `ErgoTreeEvaluator` class is `eval`, which evaluates a given expression in a given data environment. The class also provides methods for evaluating expressions with cost, such as `evalWithCost`, which returns the value of the expression and the total accumulated cost in the coster.\n\nThe `EvalSettings` case class contains configuration parameters for the evaluation run, such as flags for measuring operation time, enabling debug mode, logging, cost tracing, and specifying evaluation mode. The `EvaluationMode` object defines two evaluation modes: `AotEvaluationMode` for executing using AOT costing implementation of v4.x protocol, and `JitEvaluationMode` for executing using JIT costing implementation of v5.x protocol.\n\nThe `ErgoTreeEvaluator` class also provides methods for adding costs to the coster, such as `addCost`, `addTypeBasedCost`, `addFixedCost`, and `addSeqCost`. These methods are used to accumulate costs during the evaluation of expressions, and can be associated with operation descriptors for tracing and profiling purposes.\n\nExample usage of the `ErgoTreeEvaluator` class would involve creating an instance with the desired context, constants, cost accumulator, profiler, and settings, and then using the `eval` method to evaluate an ErgoTree expression in a given data environment.\n\n```scala\nval context: ErgoLikeContext = ...\nval constants: Seq[Constant[SType]] = ...\nval costAccumulator = new CostAccumulator(...)\nval profiler = new Profiler\nval settings = EvalSettings(...)\n\nval evaluator = new ErgoTreeEvaluator(context, constants, costAccumulator, profiler, settings)\nval env: DataEnv = ...\nval exp: SValue = ...\n\nval result: Any = evaluator.eval(env, exp)\n```", + "questions": "1. **What is the purpose of the `ErgoTreeEvaluator` class?**\n\n The `ErgoTreeEvaluator` class is an interpreter for ErgoTrees, which are a simple declarative intermediate representation for Ergo contracts. It is designed to be compact in serialized form and directly executable. The evaluator follows the denotational semantics of ErgoTree and is purely functional with immutable data structures.\n\n2. **How does the `ErgoTreeEvaluator` handle costs and profiling?**\n\n The `ErgoTreeEvaluator` uses a `CostAccumulator` to accumulate computation costs during evaluation. It also supports cost tracing and operation time measurement through the `Profiler` class if enabled in the `EvalSettings`. Various methods like `addFixedCost`, `addTypeBasedCost`, and `addSeqCost` are used to add costs associated with different operations.\n\n3. **What are the different evaluation modes available in `EvalSettings`?**\n\n The `EvalSettings` class has an `evaluationMode` field, which can be set to either `AotEvaluationMode` (AOT costing implementation of v4.x protocol) or `JitEvaluationMode` (JIT costing implementation of v5.x protocol). The default value is `None`, which means the version is defined by `ErgoTree.version` and `Context.activatedScriptVersion`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.json new file mode 100644 index 0000000000..5fb8bb72ae --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.json @@ -0,0 +1,7 @@ +{ + "fileName": "Hint.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala", + "summary": "The `Hint` trait and its subclasses define a set of hints that can be used by a prover to prove a statement. The `SecretProven` abstract class extends the `Hint` trait and defines a hint that indicates that a secret associated with its public image is already proven. The `RealSecretProof` and `SimulatedSecretProof` case classes extend the `SecretProven` class and define hints that contain a proof-of-knowledge for a secret associated with its public image, with the mark that the proof is real or simulated. \n\nThe `CommitmentHint` abstract class extends the `Hint` trait and defines a family of hints that are about a correspondence between a public image of a secret image and prover's commitment to randomness. The `OwnCommitment`, `RealCommitment`, and `SimulatedCommitment` case classes extend the `CommitmentHint` class and define hints that contain a commitment to randomness associated with a public image of a secret, with or without randomness itself.\n\nThe `HintsBag` case class defines a collection of hints to be used by a prover. It contains a sequence of hints and provides methods to add hints to the bag, concatenate bags, and extract specific types of hints from the bag. The `empty` object is a pre-defined empty `HintsBag`.\n\nThis code can be used in the larger project to facilitate the proving process of statements that involve secrets and commitments to randomness. The hints can be generated by the prover or obtained from other sources, and then added to the `HintsBag`. The bag can be passed to the proving function, which can use the hints to construct a proof. The hints can also be used to verify a proof by checking the correspondence between the public images and the commitments. \n\nFor example, a prover can use the `RealSecretProof` hint to prove that they know a secret associated with a public image, and the verifier can use the `RealCommitment` hint to verify that the commitment used in the proof corresponds to the public image. The `OwnCommitment` hint can be used to prove that the prover has a commitment to randomness that is used in the proof, and the verifier can use the `SimulatedCommitment` hint to simulate the commitment and check its validity.", + "questions": "1. What is the purpose of the `Hint` trait and its subclasses?\n- The `Hint` trait and its subclasses provide hints to a prover to help them prove a statement, such as indicating that a secret associated with a public image is already proven or providing a commitment to randomness.\n\n2. What is the difference between `RealSecretProof` and `SimulatedSecretProof`?\n- Both `RealSecretProof` and `SimulatedSecretProof` contain a proof-of-knowledge for a secret associated with a public image, but `RealSecretProof` also marks the proof as real, while `SimulatedSecretProof` does not.\n\n3. What is the purpose of the `HintsBag` class and its methods?\n- The `HintsBag` class is a collection of hints to be used by a prover. Its methods allow for adding hints to the bag, combining bags, and extracting specific types of hints from the bag." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.json new file mode 100644 index 0000000000..5013b79cda --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.json @@ -0,0 +1,7 @@ +{ + "fileName": "Interpreter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala", + "summary": "The `Interpreter` trait in the given code is a base verifying interpreter for ErgoTrees. It is responsible for evaluating ErgoTree expressions in a given context and verifying them. The interpreter supports two alternative implementations: the old implementation from v4.x based on AOT (Ahead-Of-Time) costing, and the new implementation added in v5.0 based on JIT (Just-In-Time) costing. Both implementations are equivalent in v5.0 but have different performance, resulting in different cost estimations.\n\nThe interpreter provides methods for ErgoTree evaluation (reduction) to a sigma proposition (SigmaBoolean) in a given context, and for verification of ErgoTree in a given context. It also handles soft-fork conditions and deserialization of context variables.\n\nHere's an example of how the interpreter is used in the larger project:\n\n```scala\nval interpreter = new Interpreter()\nval ergoTree: ErgoTree = ...\nval context: CTX = ...\nval env: ScriptEnv = ...\nval reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env)\n```\n\nThe `fullReduction` method takes an ErgoTree, a context, and an environment, and returns a `ReductionResult` containing the reduced SigmaBoolean value and the estimated cost of the contract execution.\n\nThe `verify` method is used to execute a script in a given context and verify its result:\n\n```scala\nval proof: Array[Byte] = ...\nval message: Array[Byte] = ...\nval verificationResult: Try[VerificationResult] = interpreter.verify(env, ergoTree, context, proof, message)\n```\n\nThe `verify` method returns a `Try[VerificationResult]`, which contains a boolean indicating whether the script executed successfully and the estimated cost of the script execution.", + "questions": "1. **Question**: What is the purpose of the `deserializeMeasured` method and why is it using `ValueSerializer` instead of `ErgoTreeSerializer`?\n \n **Answer**: The `deserializeMeasured` method is used to deserialize the given script bytes using `ValueSerializer` while also measuring the tree complexity and updating the context's initial cost. It uses `ValueSerializer` because, although ErgoTree is always of type SigmaProp, `ValueSerializer` can serialize expressions of any type, making it more versatile in this case.\n\n2. **Question**: How does the `checkSoftForkCondition` method handle soft-fork conditions in the interpreter?\n\n **Answer**: The `checkSoftForkCondition` method checks if the activated script version is higher than the maximum supported script version or if the ErgoTree version is higher than the activated script version. If a soft-fork condition is detected, it returns a `VerificationResult` with a true value and the initial cost. If no soft-fork condition is detected, it proceeds with the normal execution.\n\n3. **Question**: What is the purpose of the `estimateCryptoVerifyCost` method and how does it work?\n\n **Answer**: The `estimateCryptoVerifyCost` method computes the estimated cost of verification of a given sigma proposition without actually performing expensive crypto operations. It does this by recursively computing the total cost of the given children in the proposition tree and summing up the costs for each type of node (e.g., ProveDlog, ProveDHTuple, CAND, COR, CTHRESHOLD)." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.json new file mode 100644 index 0000000000..209ab5f87b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "InterpreterContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala", + "summary": "The code defines the ContextExtension and InterpreterContext classes, which are used to manage user-defined variables and context data in the ErgoScript interpreter. \n\nThe ContextExtension class represents a container for key-value pairs, where each key is identified by a Byte and can be accessed from a script using the getVar[T](id) operation. The value of the variable is represented by a Constant instance, which contains both data value and SType descriptor. The descriptor is checked against the type T expected in the script operation. If the types don't match, an exception is thrown and the box spending (protected by the script) fails. The class provides an add method to add new bindings to the internal container.\n\nThe InterpreterContext trait is a base class for the context passed to verifier and prover. It defines several properties, including extension, validationSettings, costLimit, initCost, and activatedScriptVersion. The extension property is an instance of the ContextExtension class, which represents prover-defined key-value pairs that may be used inside a script. The validationSettings property is used to detect soft-fork conditions. The costLimit property is a hard limit on accumulated execution cost, and the initCost property is the initial value of execution cost already accumulated before Interpreter.verify (or prove) is called. The activatedScriptVersion property defines the maximum version of ErgoTree currently activated on the network. \n\nThe InterpreterContext trait also defines several methods to create a new instance with updated properties, including withErgoTreeVersion, withCostLimit, withInitCost, withExtension, withBindings, and withValidationSettings. The toSigmaContext method creates a special.sigma.Context instance based on this context, which contains all data represented using types from the special.sigma package. These types are used internally by the ErgoTree interpreter. \n\nOverall, the code provides a flexible and extensible way to manage context data and user-defined variables in the ErgoScript interpreter. It can be used in the larger project to enable more complex and sophisticated smart contracts. \n\nExample usage:\n\n```\nval ext = ContextExtension(Map(1.toByte -> Constant(10, SInt)))\nval ctx = new InterpreterContext {\n val extension: ContextExtension = ext\n val validationSettings: SigmaValidationSettings = SigmaValidationSettings.empty\n val costLimit: Long = 1000\n val initCost: Long = 0\n def activatedScriptVersion: Byte = 0\n def withErgoTreeVersion(newVersion: Byte): InterpreterContext = ???\n def withCostLimit(newCostLimit: Long): InterpreterContext = ???\n def withInitCost(newCost: Long): InterpreterContext = ???\n def withExtension(newExtension: ContextExtension): InterpreterContext = ???\n def withValidationSettings(newVs: SigmaValidationSettings): InterpreterContext = ???\n def toSigmaContext(extensions: Map[Byte, AnyValue] = Map()): sigma.Context = ???\n}\n```", + "questions": "1. What is the purpose of the `ContextExtension` class and how is it used in the script?\n- The `ContextExtension` class is used to store user-defined variables that can be accessed from a script using `getVar[T](id)` operation. The value of the variable is represented by a `Constant` instance, which contains both data value and `SType` descriptor. The descriptor is checked against the type `T` expected in the script operation.\n\n2. What is the purpose of the `InterpreterContext` trait and what are some of its key properties?\n- The `InterpreterContext` trait is the base class of the context passed to verifier and prover. Some of its key properties include `extension` which stores prover-defined key-value pairs that may be used inside a script, `validationSettings` which are validation parameters passed to `Interpreter.verify` to detect soft-fork conditions, `costLimit` which is a hard limit on accumulated execution cost, and `activatedScriptVersion` which is the maximum version of ErgoTree currently activated on the network.\n\n3. What is the purpose of the `toSigmaContext` method and what does it do?\n- The `toSigmaContext` method creates a `special.sigma.Context` instance based on the current context. The created instance contains all data represented using types from the `special.sigma` package, which are used internally by ErgoTree interpreter. This method performs transformation from Ergo to internal Sigma representation of all context data. It can also take additional context variables which will be merged with those in the `extension` of the current instance, overriding existing bindings in case variable ids overlap." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.json new file mode 100644 index 0000000000..130fd8ba6b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.json @@ -0,0 +1,7 @@ +{ + "fileName": "OperationDesc.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala", + "summary": "The code defines a set of classes and traits that describe the cost of operations in the Ergo blockchain. The `OperationDesc` trait is an abstract class that defines the `operationName` method, which returns the name of the operation. There are three concrete classes that extend `OperationDesc`: `CompanionDesc`, `MethodDesc`, and `NamedDesc`. \n\n`CompanionDesc` is a case class that takes a `ValueCompanion` as a parameter and returns the `typeName` of the companion object as the `operationName`. `ValueCompanion` is a trait that defines methods for creating and parsing values of a specific type. \n\n`MethodDesc` is a case class that takes an `SMethod` as a parameter and returns the `opName` of the method as the `operationName`. `SMethod` is a class that represents an operation as a method. \n\n`NamedDesc` is a case class that takes a `String` as a parameter and returns the same `String` as the `operationName`. This is used for intermediate sub-operations that are present in the cost model but are not separate operations in the ErgoTree.\n\n`OperationCostInfo` is a case class that combines a `CostKind` and an `OperationDesc`. `CostKind` is a trait that defines the cost of an operation. \n\nOverall, this code provides a way to describe the cost of operations in the Ergo blockchain. It can be used in the larger project to optimize the execution of transactions by estimating the cost of each operation and minimizing the total cost. For example, a developer could use the `MethodDesc` class to estimate the cost of a specific method and optimize the code accordingly. \n\nExample usage:\n\n```\nval method = SMethod(\"add\", Seq(IntConstant(1), IntConstant(2)))\nval methodDesc = MethodDesc(method)\nval costInfo = OperationCostInfo(ComputationalCost, methodDesc)\n```", + "questions": "1. What is the purpose of the `OperationDesc` abstract class?\n \n `OperationDesc` is an abstract class that defines the common interface for operation descriptors. It provides a method `operationName` that returns the name of the operation.\n\n2. What are the different ways in which a costable operation can be described?\n \n A costable operation can be described in one of the following ways: (1) using `ValueCompanion`, (2) using `SMethod`, or (3) using a string name.\n\n3. What is the purpose of the `OperationCostInfo` case class?\n \n `OperationCostInfo` is a case class that combines an operation descriptor (`opDesc`) with a cost kind (`costKind`). It is used to represent the cost information for a costable operation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.json new file mode 100644 index 0000000000..57b4c85f7f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProverInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala", + "summary": "The `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain.\n\nThe main methods provided by this trait are:\n\n- `generateCommitments`: Generates commitments for a given ErgoTree or SigmaBoolean using the prover's secrets.\n- `prove`: Generates a proof for a given ErgoTree, context, and message, using the prover's secrets and optional hints.\n- `signMessage`: Signs an arbitrary message under a key representing a statement provable via a sigma-protocol.\n\nThe `ProverInterpreter` trait also defines several helper methods and strategies for generating proofs, such as `markReal`, `polishSimulated`, `simulateAndCommit`, and `proving`. These methods are used in the main `prove` method to perform various steps of the proving process, such as marking nodes as real or simulated, generating challenges for simulated nodes, and computing commitments and responses for real nodes.\n\nHere's an example of how the `ProverInterpreter` trait might be used in a larger project:\n\n```scala\nval prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter\nval ergoTree = ... // An ErgoTree script to prove\nval context = ... // A context for the script\nval message = ... // A message to sign\n\nval result = prover.prove(ergoTree, context, message) match {\n case Success(proof) => // Use the proof for validation or other purposes\n case Failure(e) => // Handle the error\n}\n```\n\nIn this example, a custom implementation of `ProverInterpreter` called `MyProverInterpreter` is used to generate a proof for a given ErgoTree script, context, and message. The resulting proof can then be used for validation or other purposes.", + "questions": "1. **Question**: What is the purpose of the `ProverInterpreter` trait?\n **Answer**: The `ProverInterpreter` trait is an interpreter with enhanced functionality to prove statements. It is responsible for generating commitments, proving statements, and signing messages under a key representing a statement provable via a sigma-protocol.\n\n2. **Question**: How does the `prove` method work in the `ProverInterpreter` trait?\n **Answer**: The `prove` method takes an ErgoTree, a context, a message, and a hints bag as input. It performs a series of steps to reduce the ErgoTree to a crypto-tree, generate commitments, simulate and commit, and compute challenges and responses for real and simulated nodes. Finally, it outputs a `CostedProverResult` containing the proof, context extension, and cost.\n\n3. **Question**: What is the role of the `HintsBag` in the `ProverInterpreter` trait?\n **Answer**: The `HintsBag` is used to store additional hints for a signer, which can be useful for distributed signing. It contains real images, commitments, and proofs that can be used during the proving process to help generate the final proof more efficiently or securely." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.json new file mode 100644 index 0000000000..8889f75ef6 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProverResult.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala", + "summary": "The code defines two classes, `ProverResult` and `CostedProverResult`, and an object `ProverResult` with a serializer. These classes are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. \n\nThe `ProverResult` class takes two parameters: `proof`, which is an array of bytes representing the proof that satisfies the final Sigma proposition, and `extension`, which is a user-defined variable to be put into context. The `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter, which represents the cost of the proof. \n\nThe `ProverResult` class overrides the `hashCode`, `equals`, and `toString` methods. The `hashCode` method calculates the hash code of the `proof` and `extension` parameters using the `util.Arrays.hashCode` method. The `equals` method checks if the object being compared is the same as `this` or if it is an instance of `ProverResult` with the same `proof` and `extension` parameters. The `toString` method returns a string representation of the `ProverResult` object, including the `proof` and `extension` parameters encoded in Base16.\n\nThe `ProverResult` object provides an `empty` method that returns an empty `ProverResult` object with an empty `proof` and `extension`. It also provides a `serializer` object that extends the `SigmaSerializer` trait. The `serializer` object provides methods to serialize and parse `ProverResult` objects. The `serialize` method writes the `proof` parameter to the `SigmaByteWriter` object `w` along with its length and then calls the `serialize` method of the `ContextExtension` object `extension`. The `parse` method reads the `proof` parameter from the `SigmaByteReader` object `r` along with its length and then calls the `parse` method of the `ContextExtension` object `extension`.\n\nThe `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter. It takes the same parameters as `ProverResult` and calls the constructor of `ProverResult` with the `proof` and `extension` parameters. It then adds a `cost` parameter to the resulting object. \n\nOverall, these classes and object are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. The `ProverResult` class represents a basic result, while the `CostedProverResult` class adds a cost parameter to the result. The `ProverResult` object provides methods to serialize and parse `ProverResult` objects.", + "questions": "1. What is the purpose of the `ProverResult` class?\n- The `ProverResult` class represents the proof of correctness of transaction spending and contains a proof that satisfies the final sigma proposition and user-defined variables to be put into context.\n\n2. What is the `ProverResult.serializer` object used for?\n- The `ProverResult.serializer` object is used to serialize and deserialize `ProverResult` objects.\n\n3. What is the `CostedProverResult` case class and how does it differ from `ProverResult`?\n- The `CostedProverResult` case class extends `ProverResult` and adds a `cost` field to represent the cost of the proof." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.json new file mode 100644 index 0000000000..6fc7f1fa52 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProverUtils.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala", + "summary": "The `ProverUtils` trait is a collection of utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. The trait extends the `Interpreter` trait, which provides methods for evaluating ErgoScript expressions.\n\nThe `generateCommitmentsFor` method takes an `ErgoTree` and a `CTX` (context) and generates commitments for all the public keys provided. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates commitments for the public keys using the `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys. Currently, only keys in the form of `ProveDlog` and `ProveDiffieHellman` are supported, not more complex subtrees.\n\nThe `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys generates commitments (private, containing secret randomness, and public, containing only commitments) for all the public keys provided. The method traverses the sigma-tree and generates commitments for the public keys that match the keys in the `generateFor` sequence. The method uses the `DLogInteractiveProver` and `DiffieHellmanTupleInteractiveProver` classes to generate commitments for `ProveDlog` and `ProveDHTuple` public keys, respectively.\n\nThe `bagForMultisig` method extracts partial proofs of secret knowledge for particular secrets with their respective public images given. The method takes a `CTX`, an `ErgoTree`, a signature for the key, and sequences of `SigmaBoolean` public keys for real and simulated proofs. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates a proof tree using the `computeCommitments` method and the `SigSerializer` class. Finally, the method traverses the proof tree and extracts partial proofs of secret knowledge for the public keys that match the keys in the `realSecretsToExtract` and `simulatedSecretsToExtract` sequences. The method uses the `RealCommitment`, `RealSecretProof`, `SimulatedCommitment`, and `SimulatedSecretProof` classes to generate the partial proofs.\n\nOverall, the `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. These methods are used in the larger project to enable secure and efficient multi-party signing of transactions on the Ergo blockchain.", + "questions": "1. What is the purpose of the `ProverUtils` trait?\n- The `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for distributed signature applications.\n\n2. What types of public keys are currently supported by the `generateCommitmentsFor` method?\n- The `generateCommitmentsFor` method currently supports keys in the form of `ProveDlog` and `ProveDiffieHellman`, but not more complex subtrees.\n\n3. What is the input and output of the `bagForMultisig` method?\n- The `bagForMultisig` method takes in a context, a proposition to reduce, a proof for the reduced proposition, and public keys of secrets with real and simulated proofs. It returns a bag of `OtherSecretProven` and `OtherCommitment` hints." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.json new file mode 100644 index 0000000000..c0bfa76ed7 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.json @@ -0,0 +1,87 @@ +{ + "folderName": "interpreter", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter", + "files": [ + { + "fileName": "CostAccumulator.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala", + "summary": "The code defines two classes, `CostCounter` and `CostAccumulator`, which are used to track the cost of executing a program. \n\n`CostCounter` is a simple class that encapsulates a monotonic counter that can only be incremented. It has an initial cost value, which is set when the counter is created, and a current cost value, which is updated each time the counter is incremented. The `resetCost()` method can be used to reset the current cost value to the initial value.\n\n`CostAccumulator` is a more complex class that implements a finite state machine with a stack of graph blocks (scopes), which correspond to lambdas and thunks. It accepts messages: `startScope()`, `endScope()`, `add()`, and `reset()`. At any time, `totalCost` is the currently accumulated cost.\n\nThe `Scope` class represents a single scope during execution of the graph. When the evaluation enters a new scope (e.g. calling a lambda), a new `Scope` instance is created and pushed to the `_scopeStack`, then it starts receiving `add` method calls. When the evaluation leaves the scope, the top is popped off the stack. The `add` method is called once for each operation of a scope (lambda or thunk), and it updates the current cost of the current scope. If the current accumulated cost exceeds the `costLimit`, a `CostLimitException` is thrown.\n\nThe `reset()` method resets the accumulator into its initial state to be ready for new graph execution. The `totalCost` method returns the total accumulated cost.\n\nOverall, these classes are used to track the cost of executing a program and ensure that it does not exceed a certain limit. They can be used in the larger project to optimize the execution of the program and prevent it from consuming too many resources. For example, the `CostAccumulator` class could be used to optimize the execution of smart contracts on a blockchain by limiting their resource consumption.", + "questions": "1. What is the purpose of the `CostCounter` class?\n- The `CostCounter` class encapsulates a simple monotonic counter with reset and is used to keep track of the current cost.\n\n2. What is the purpose of the `Scope` class?\n- The `Scope` class represents a single scope during execution of the graph and is used to accumulate costs for each operation of a scope.\n\n3. What is the purpose of the `CostAccumulator` class?\n- The `CostAccumulator` class implements a finite state machine with a stack of graph blocks (scopes) and is used to accumulate costs for each operation of a scope. It also checks if the accumulated cost exceeds the cost limit and throws a `CostLimitException` if it does." + }, + { + "fileName": "CostDetails.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala", + "summary": "The code defines an abstract representation of cost results obtained during evaluation. It provides two concrete implementations of the abstract class `CostDetails`: `TracedCost` and `GivenCost`. The former is used to represent detailed results of cost evaluation, while the latter is used to represent the cost of Ahead-Of-Time (AOT) costing. \n\nThe `CostDetails` class has three methods: `cost`, `trace`, and `actualTimeNano`. The `cost` method returns the total cost of evaluation, which is a `JitCost` object. The `trace` method returns the trace of costed operations performed during evaluation, which is a sequence of `CostItem` objects. The `actualTimeNano` method returns the actual execution time (in nanoseconds) if defined. \n\nThe `TracedCost` class extends `CostDetails` and has two fields: `trace` and `actualTimeNano`. The `trace` field is the accumulated trace of all cost items obtained during execution of `ErgoTree` operations. The `actualTimeNano` field is the measured time of execution (if some). The `cost` method of `TracedCost` calculates the total cost of all cost items by iterating over the `trace` sequence and summing up the costs of each `CostItem`. \n\nThe `GivenCost` class also extends `CostDetails` and has one field: `cost`. The `cost` field is the given value of the total cost obtained from AOT costing. The `actualTimeNano` field is the measured time of execution (if some). The `trace` method of `GivenCost` returns an empty sequence of `CostItem` objects since there is no trace available for AOT costing. \n\nThe `CostDetails` object provides three methods: `EmptyTrace`, `ZeroCost`, and `apply`. The `EmptyTrace` method returns an empty sequence of `CostItem` objects and should be used whenever possible to avoid allocations. The `ZeroCost` method returns a `TracedCost` object with an empty trace and zero total cost. The `apply` method is a helper factory method to create `CostDetails` objects from the given trace. \n\nThe `unapply` method of `CostDetails` is a helper recognizer to work with different representations of costs in patterns uniformly. It takes a `CostDetails` object as input and returns an `Option` of a tuple containing the total cost and the trace of cost items. It matches the input object against `TracedCost` and `GivenCost` and returns the appropriate tuple based on the type of the input object. \n\nOverall, this code provides a way to represent and manipulate cost results obtained during evaluation in a flexible and extensible manner. It can be used in the larger project to optimize the performance of `ErgoTree` operations and reduce the computational cost of evaluating complex scripts. \n\nExample usage:\n\n```\nval trace = Seq(CostItem(op1, cost1), CostItem(op2, cost2), CostItem(op3, cost3))\nval costDetails = CostDetails(trace)\nval totalCost = costDetails.cost\nval traceItems = costDetails.trace\nval actualTime = costDetails.actualTimeNano.getOrElse(0L)\n```", + "questions": "1. What is the purpose of the `CostDetails` class and its subclasses?\n- The `CostDetails` class and its subclasses are used to represent the results of cost evaluation during code execution, including the total cost, trace of costed operations, and actual execution time.\n\n2. What is the difference between `TracedCost` and `GivenCost`?\n- `TracedCost` represents the detailed results of cost evaluation obtained during execution of `ErgoTree` operations, while `GivenCost` represents the cost of AOT (ahead-of-time) costing using a given value.\n\n3. What is the purpose of the `unapply` method in the `CostDetails` object?\n- The `unapply` method is a helper recognizer that allows for working with different representations of costs in patterns uniformly, by matching against the `CostDetails` subclasses and returning a tuple of the total cost and trace of costed operations." + }, + { + "fileName": "CostItem.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala", + "summary": "This code defines several classes and objects that represent different types of cost items in the context of evaluating an ErgoTree, which is a data structure used in the Ergo blockchain. The purpose of these cost items is to track the cost of evaluating an ErgoTree, which is important for determining transaction fees and preventing denial-of-service attacks.\n\nThe `CostItem` abstract class defines the basic structure of a cost item, with two properties: `opName`, which is a string representing the name of the operation being performed, and `cost`, which is a `JitCost` object representing the cost of the operation.\n\nThe `FixedCostItem` class represents the cost of a simple operation that has a fixed cost, such as adding two numbers together. It takes an `OperationDesc` object and a `FixedCost` object as parameters, which describe the operation being performed and the cost of that operation, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the fixed cost.\n\nThe `TypeBasedCostItem` class represents the cost of an operation that depends on the type of the arguments being passed in, such as comparing two values of different types. It takes an `OperationDesc` object, a `TypeBasedCost` object, and an `SType` object as parameters, which describe the operation being performed, the cost of that operation based on the type of the arguments, and the concrete type on which the operation is being executed, respectively. The `opName` property is set to the name of the operation followed by the concrete type, and the `cost` property is set to the cost of the operation based on the concrete type.\n\nThe `SeqCostItem` class represents the cost of a sequence of operations, such as iterating over a collection of values. It takes an `OperationDesc` object, a `PerItemCost` object, and an integer representing the number of items in the sequence as parameters, which describe the operation being performed, the cost of that operation per item, and the number of items in the sequence, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the cost of the operation multiplied by the number of items in the sequence.\n\nThe `MethodCallCostItem` class represents the cost of a method call operation, which is a special type of operation that calls a method on an object. It takes a `CostDetails` object as a parameter, which contains the cost details obtained as part of the method call evaluation. The `opName` property is set to the name of the method call operation, and the `cost` property is set to the cost of the method call.\n\nOverall, these classes and objects provide a way to track the cost of evaluating an ErgoTree, which is important for ensuring the security and stability of the Ergo blockchain. They can be used for debugging, testing, and profiling of costing, and can be integrated into larger projects that involve ErgoTree evaluation. For example, a transaction validation system might use these cost items to determine the transaction fee and prevent denial-of-service attacks.", + "questions": "1. What is the purpose of the `CostItem` class and its subclasses?\n- The `CostItem` class and its subclasses represent items in the cost accumulation trace of an `ErgoTree` evaluation, used for debugging, testing, and profiling of costing.\n\n2. What is the difference between `FixedCostItem` and `TypeBasedCostItem`?\n- `FixedCostItem` represents the cost of a simple operation, while `TypeBasedCostItem` represents the cost of an operation that depends on type (e.g. type of arguments).\n\n3. What is the purpose of the `SeqCostItem` class and its `chunks` method?\n- The `SeqCostItem` class represents the cost of a sequence of operations, and the `chunks` method returns the number of data chunks in this cost item." + }, + { + "fileName": "ErgoTreeEvaluator.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala", + "summary": "The `ErgoTreeEvaluator` class in this code is a simple and fast direct-style interpreter for ErgoTrees. ErgoTree is a declarative intermediate representation for Ergo contracts, designed to be compact in serialized form and directly executable. The interpreter works directly with ErgoTree's higher-order abstract syntax (HOAS) and follows its denotational semantics.\n\nThe main method of the `ErgoTreeEvaluator` class is `eval`, which evaluates a given expression in a given data environment. The class also provides methods for evaluating expressions with cost, such as `evalWithCost`, which returns the value of the expression and the total accumulated cost in the coster.\n\nThe `EvalSettings` case class contains configuration parameters for the evaluation run, such as flags for measuring operation time, enabling debug mode, logging, cost tracing, and specifying evaluation mode. The `EvaluationMode` object defines two evaluation modes: `AotEvaluationMode` for executing using AOT costing implementation of v4.x protocol, and `JitEvaluationMode` for executing using JIT costing implementation of v5.x protocol.\n\nThe `ErgoTreeEvaluator` class also provides methods for adding costs to the coster, such as `addCost`, `addTypeBasedCost`, `addFixedCost`, and `addSeqCost`. These methods are used to accumulate costs during the evaluation of expressions, and can be associated with operation descriptors for tracing and profiling purposes.\n\nExample usage of the `ErgoTreeEvaluator` class would involve creating an instance with the desired context, constants, cost accumulator, profiler, and settings, and then using the `eval` method to evaluate an ErgoTree expression in a given data environment.\n\n```scala\nval context: ErgoLikeContext = ...\nval constants: Seq[Constant[SType]] = ...\nval costAccumulator = new CostAccumulator(...)\nval profiler = new Profiler\nval settings = EvalSettings(...)\n\nval evaluator = new ErgoTreeEvaluator(context, constants, costAccumulator, profiler, settings)\nval env: DataEnv = ...\nval exp: SValue = ...\n\nval result: Any = evaluator.eval(env, exp)\n```", + "questions": "1. **What is the purpose of the `ErgoTreeEvaluator` class?**\n\n The `ErgoTreeEvaluator` class is an interpreter for ErgoTrees, which are a simple declarative intermediate representation for Ergo contracts. It is designed to be compact in serialized form and directly executable. The evaluator follows the denotational semantics of ErgoTree and is purely functional with immutable data structures.\n\n2. **How does the `ErgoTreeEvaluator` handle costs and profiling?**\n\n The `ErgoTreeEvaluator` uses a `CostAccumulator` to accumulate computation costs during evaluation. It also supports cost tracing and operation time measurement through the `Profiler` class if enabled in the `EvalSettings`. Various methods like `addFixedCost`, `addTypeBasedCost`, and `addSeqCost` are used to add costs associated with different operations.\n\n3. **What are the different evaluation modes available in `EvalSettings`?**\n\n The `EvalSettings` class has an `evaluationMode` field, which can be set to either `AotEvaluationMode` (AOT costing implementation of v4.x protocol) or `JitEvaluationMode` (JIT costing implementation of v5.x protocol). The default value is `None`, which means the version is defined by `ErgoTree.version` and `Context.activatedScriptVersion`." + }, + { + "fileName": "Hint.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala", + "summary": "The `Hint` trait and its subclasses define a set of hints that can be used by a prover to prove a statement. The `SecretProven` abstract class extends the `Hint` trait and defines a hint that indicates that a secret associated with its public image is already proven. The `RealSecretProof` and `SimulatedSecretProof` case classes extend the `SecretProven` class and define hints that contain a proof-of-knowledge for a secret associated with its public image, with the mark that the proof is real or simulated. \n\nThe `CommitmentHint` abstract class extends the `Hint` trait and defines a family of hints that are about a correspondence between a public image of a secret image and prover's commitment to randomness. The `OwnCommitment`, `RealCommitment`, and `SimulatedCommitment` case classes extend the `CommitmentHint` class and define hints that contain a commitment to randomness associated with a public image of a secret, with or without randomness itself.\n\nThe `HintsBag` case class defines a collection of hints to be used by a prover. It contains a sequence of hints and provides methods to add hints to the bag, concatenate bags, and extract specific types of hints from the bag. The `empty` object is a pre-defined empty `HintsBag`.\n\nThis code can be used in the larger project to facilitate the proving process of statements that involve secrets and commitments to randomness. The hints can be generated by the prover or obtained from other sources, and then added to the `HintsBag`. The bag can be passed to the proving function, which can use the hints to construct a proof. The hints can also be used to verify a proof by checking the correspondence between the public images and the commitments. \n\nFor example, a prover can use the `RealSecretProof` hint to prove that they know a secret associated with a public image, and the verifier can use the `RealCommitment` hint to verify that the commitment used in the proof corresponds to the public image. The `OwnCommitment` hint can be used to prove that the prover has a commitment to randomness that is used in the proof, and the verifier can use the `SimulatedCommitment` hint to simulate the commitment and check its validity.", + "questions": "1. What is the purpose of the `Hint` trait and its subclasses?\n- The `Hint` trait and its subclasses provide hints to a prover to help them prove a statement, such as indicating that a secret associated with a public image is already proven or providing a commitment to randomness.\n\n2. What is the difference between `RealSecretProof` and `SimulatedSecretProof`?\n- Both `RealSecretProof` and `SimulatedSecretProof` contain a proof-of-knowledge for a secret associated with a public image, but `RealSecretProof` also marks the proof as real, while `SimulatedSecretProof` does not.\n\n3. What is the purpose of the `HintsBag` class and its methods?\n- The `HintsBag` class is a collection of hints to be used by a prover. Its methods allow for adding hints to the bag, combining bags, and extracting specific types of hints from the bag." + }, + { + "fileName": "Interpreter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala", + "summary": "The `Interpreter` trait in the given code is a base verifying interpreter for ErgoTrees. It is responsible for evaluating ErgoTree expressions in a given context and verifying them. The interpreter supports two alternative implementations: the old implementation from v4.x based on AOT (Ahead-Of-Time) costing, and the new implementation added in v5.0 based on JIT (Just-In-Time) costing. Both implementations are equivalent in v5.0 but have different performance, resulting in different cost estimations.\n\nThe interpreter provides methods for ErgoTree evaluation (reduction) to a sigma proposition (SigmaBoolean) in a given context, and for verification of ErgoTree in a given context. It also handles soft-fork conditions and deserialization of context variables.\n\nHere's an example of how the interpreter is used in the larger project:\n\n```scala\nval interpreter = new Interpreter()\nval ergoTree: ErgoTree = ...\nval context: CTX = ...\nval env: ScriptEnv = ...\nval reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env)\n```\n\nThe `fullReduction` method takes an ErgoTree, a context, and an environment, and returns a `ReductionResult` containing the reduced SigmaBoolean value and the estimated cost of the contract execution.\n\nThe `verify` method is used to execute a script in a given context and verify its result:\n\n```scala\nval proof: Array[Byte] = ...\nval message: Array[Byte] = ...\nval verificationResult: Try[VerificationResult] = interpreter.verify(env, ergoTree, context, proof, message)\n```\n\nThe `verify` method returns a `Try[VerificationResult]`, which contains a boolean indicating whether the script executed successfully and the estimated cost of the script execution.", + "questions": "1. **Question**: What is the purpose of the `deserializeMeasured` method and why is it using `ValueSerializer` instead of `ErgoTreeSerializer`?\n \n **Answer**: The `deserializeMeasured` method is used to deserialize the given script bytes using `ValueSerializer` while also measuring the tree complexity and updating the context's initial cost. It uses `ValueSerializer` because, although ErgoTree is always of type SigmaProp, `ValueSerializer` can serialize expressions of any type, making it more versatile in this case.\n\n2. **Question**: How does the `checkSoftForkCondition` method handle soft-fork conditions in the interpreter?\n\n **Answer**: The `checkSoftForkCondition` method checks if the activated script version is higher than the maximum supported script version or if the ErgoTree version is higher than the activated script version. If a soft-fork condition is detected, it returns a `VerificationResult` with a true value and the initial cost. If no soft-fork condition is detected, it proceeds with the normal execution.\n\n3. **Question**: What is the purpose of the `estimateCryptoVerifyCost` method and how does it work?\n\n **Answer**: The `estimateCryptoVerifyCost` method computes the estimated cost of verification of a given sigma proposition without actually performing expensive crypto operations. It does this by recursively computing the total cost of the given children in the proposition tree and summing up the costs for each type of node (e.g., ProveDlog, ProveDHTuple, CAND, COR, CTHRESHOLD)." + }, + { + "fileName": "InterpreterContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala", + "summary": "The code defines the ContextExtension and InterpreterContext classes, which are used to manage user-defined variables and context data in the ErgoScript interpreter. \n\nThe ContextExtension class represents a container for key-value pairs, where each key is identified by a Byte and can be accessed from a script using the getVar[T](id) operation. The value of the variable is represented by a Constant instance, which contains both data value and SType descriptor. The descriptor is checked against the type T expected in the script operation. If the types don't match, an exception is thrown and the box spending (protected by the script) fails. The class provides an add method to add new bindings to the internal container.\n\nThe InterpreterContext trait is a base class for the context passed to verifier and prover. It defines several properties, including extension, validationSettings, costLimit, initCost, and activatedScriptVersion. The extension property is an instance of the ContextExtension class, which represents prover-defined key-value pairs that may be used inside a script. The validationSettings property is used to detect soft-fork conditions. The costLimit property is a hard limit on accumulated execution cost, and the initCost property is the initial value of execution cost already accumulated before Interpreter.verify (or prove) is called. The activatedScriptVersion property defines the maximum version of ErgoTree currently activated on the network. \n\nThe InterpreterContext trait also defines several methods to create a new instance with updated properties, including withErgoTreeVersion, withCostLimit, withInitCost, withExtension, withBindings, and withValidationSettings. The toSigmaContext method creates a special.sigma.Context instance based on this context, which contains all data represented using types from the special.sigma package. These types are used internally by the ErgoTree interpreter. \n\nOverall, the code provides a flexible and extensible way to manage context data and user-defined variables in the ErgoScript interpreter. It can be used in the larger project to enable more complex and sophisticated smart contracts. \n\nExample usage:\n\n```\nval ext = ContextExtension(Map(1.toByte -> Constant(10, SInt)))\nval ctx = new InterpreterContext {\n val extension: ContextExtension = ext\n val validationSettings: SigmaValidationSettings = SigmaValidationSettings.empty\n val costLimit: Long = 1000\n val initCost: Long = 0\n def activatedScriptVersion: Byte = 0\n def withErgoTreeVersion(newVersion: Byte): InterpreterContext = ???\n def withCostLimit(newCostLimit: Long): InterpreterContext = ???\n def withInitCost(newCost: Long): InterpreterContext = ???\n def withExtension(newExtension: ContextExtension): InterpreterContext = ???\n def withValidationSettings(newVs: SigmaValidationSettings): InterpreterContext = ???\n def toSigmaContext(extensions: Map[Byte, AnyValue] = Map()): sigma.Context = ???\n}\n```", + "questions": "1. What is the purpose of the `ContextExtension` class and how is it used in the script?\n- The `ContextExtension` class is used to store user-defined variables that can be accessed from a script using `getVar[T](id)` operation. The value of the variable is represented by a `Constant` instance, which contains both data value and `SType` descriptor. The descriptor is checked against the type `T` expected in the script operation.\n\n2. What is the purpose of the `InterpreterContext` trait and what are some of its key properties?\n- The `InterpreterContext` trait is the base class of the context passed to verifier and prover. Some of its key properties include `extension` which stores prover-defined key-value pairs that may be used inside a script, `validationSettings` which are validation parameters passed to `Interpreter.verify` to detect soft-fork conditions, `costLimit` which is a hard limit on accumulated execution cost, and `activatedScriptVersion` which is the maximum version of ErgoTree currently activated on the network.\n\n3. What is the purpose of the `toSigmaContext` method and what does it do?\n- The `toSigmaContext` method creates a `special.sigma.Context` instance based on the current context. The created instance contains all data represented using types from the `special.sigma` package, which are used internally by ErgoTree interpreter. This method performs transformation from Ergo to internal Sigma representation of all context data. It can also take additional context variables which will be merged with those in the `extension` of the current instance, overriding existing bindings in case variable ids overlap." + }, + { + "fileName": "OperationDesc.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala", + "summary": "The code defines a set of classes and traits that describe the cost of operations in the Ergo blockchain. The `OperationDesc` trait is an abstract class that defines the `operationName` method, which returns the name of the operation. There are three concrete classes that extend `OperationDesc`: `CompanionDesc`, `MethodDesc`, and `NamedDesc`. \n\n`CompanionDesc` is a case class that takes a `ValueCompanion` as a parameter and returns the `typeName` of the companion object as the `operationName`. `ValueCompanion` is a trait that defines methods for creating and parsing values of a specific type. \n\n`MethodDesc` is a case class that takes an `SMethod` as a parameter and returns the `opName` of the method as the `operationName`. `SMethod` is a class that represents an operation as a method. \n\n`NamedDesc` is a case class that takes a `String` as a parameter and returns the same `String` as the `operationName`. This is used for intermediate sub-operations that are present in the cost model but are not separate operations in the ErgoTree.\n\n`OperationCostInfo` is a case class that combines a `CostKind` and an `OperationDesc`. `CostKind` is a trait that defines the cost of an operation. \n\nOverall, this code provides a way to describe the cost of operations in the Ergo blockchain. It can be used in the larger project to optimize the execution of transactions by estimating the cost of each operation and minimizing the total cost. For example, a developer could use the `MethodDesc` class to estimate the cost of a specific method and optimize the code accordingly. \n\nExample usage:\n\n```\nval method = SMethod(\"add\", Seq(IntConstant(1), IntConstant(2)))\nval methodDesc = MethodDesc(method)\nval costInfo = OperationCostInfo(ComputationalCost, methodDesc)\n```", + "questions": "1. What is the purpose of the `OperationDesc` abstract class?\n \n `OperationDesc` is an abstract class that defines the common interface for operation descriptors. It provides a method `operationName` that returns the name of the operation.\n\n2. What are the different ways in which a costable operation can be described?\n \n A costable operation can be described in one of the following ways: (1) using `ValueCompanion`, (2) using `SMethod`, or (3) using a string name.\n\n3. What is the purpose of the `OperationCostInfo` case class?\n \n `OperationCostInfo` is a case class that combines an operation descriptor (`opDesc`) with a cost kind (`costKind`). It is used to represent the cost information for a costable operation." + }, + { + "fileName": "ProverInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala", + "summary": "The `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain.\n\nThe main methods provided by this trait are:\n\n- `generateCommitments`: Generates commitments for a given ErgoTree or SigmaBoolean using the prover's secrets.\n- `prove`: Generates a proof for a given ErgoTree, context, and message, using the prover's secrets and optional hints.\n- `signMessage`: Signs an arbitrary message under a key representing a statement provable via a sigma-protocol.\n\nThe `ProverInterpreter` trait also defines several helper methods and strategies for generating proofs, such as `markReal`, `polishSimulated`, `simulateAndCommit`, and `proving`. These methods are used in the main `prove` method to perform various steps of the proving process, such as marking nodes as real or simulated, generating challenges for simulated nodes, and computing commitments and responses for real nodes.\n\nHere's an example of how the `ProverInterpreter` trait might be used in a larger project:\n\n```scala\nval prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter\nval ergoTree = ... // An ErgoTree script to prove\nval context = ... // A context for the script\nval message = ... // A message to sign\n\nval result = prover.prove(ergoTree, context, message) match {\n case Success(proof) => // Use the proof for validation or other purposes\n case Failure(e) => // Handle the error\n}\n```\n\nIn this example, a custom implementation of `ProverInterpreter` called `MyProverInterpreter` is used to generate a proof for a given ErgoTree script, context, and message. The resulting proof can then be used for validation or other purposes.", + "questions": "1. **Question**: What is the purpose of the `ProverInterpreter` trait?\n **Answer**: The `ProverInterpreter` trait is an interpreter with enhanced functionality to prove statements. It is responsible for generating commitments, proving statements, and signing messages under a key representing a statement provable via a sigma-protocol.\n\n2. **Question**: How does the `prove` method work in the `ProverInterpreter` trait?\n **Answer**: The `prove` method takes an ErgoTree, a context, a message, and a hints bag as input. It performs a series of steps to reduce the ErgoTree to a crypto-tree, generate commitments, simulate and commit, and compute challenges and responses for real and simulated nodes. Finally, it outputs a `CostedProverResult` containing the proof, context extension, and cost.\n\n3. **Question**: What is the role of the `HintsBag` in the `ProverInterpreter` trait?\n **Answer**: The `HintsBag` is used to store additional hints for a signer, which can be useful for distributed signing. It contains real images, commitments, and proofs that can be used during the proving process to help generate the final proof more efficiently or securely." + }, + { + "fileName": "ProverResult.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala", + "summary": "The code defines two classes, `ProverResult` and `CostedProverResult`, and an object `ProverResult` with a serializer. These classes are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. \n\nThe `ProverResult` class takes two parameters: `proof`, which is an array of bytes representing the proof that satisfies the final Sigma proposition, and `extension`, which is a user-defined variable to be put into context. The `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter, which represents the cost of the proof. \n\nThe `ProverResult` class overrides the `hashCode`, `equals`, and `toString` methods. The `hashCode` method calculates the hash code of the `proof` and `extension` parameters using the `util.Arrays.hashCode` method. The `equals` method checks if the object being compared is the same as `this` or if it is an instance of `ProverResult` with the same `proof` and `extension` parameters. The `toString` method returns a string representation of the `ProverResult` object, including the `proof` and `extension` parameters encoded in Base16.\n\nThe `ProverResult` object provides an `empty` method that returns an empty `ProverResult` object with an empty `proof` and `extension`. It also provides a `serializer` object that extends the `SigmaSerializer` trait. The `serializer` object provides methods to serialize and parse `ProverResult` objects. The `serialize` method writes the `proof` parameter to the `SigmaByteWriter` object `w` along with its length and then calls the `serialize` method of the `ContextExtension` object `extension`. The `parse` method reads the `proof` parameter from the `SigmaByteReader` object `r` along with its length and then calls the `parse` method of the `ContextExtension` object `extension`.\n\nThe `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter. It takes the same parameters as `ProverResult` and calls the constructor of `ProverResult` with the `proof` and `extension` parameters. It then adds a `cost` parameter to the resulting object. \n\nOverall, these classes and object are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. The `ProverResult` class represents a basic result, while the `CostedProverResult` class adds a cost parameter to the result. The `ProverResult` object provides methods to serialize and parse `ProverResult` objects.", + "questions": "1. What is the purpose of the `ProverResult` class?\n- The `ProverResult` class represents the proof of correctness of transaction spending and contains a proof that satisfies the final sigma proposition and user-defined variables to be put into context.\n\n2. What is the `ProverResult.serializer` object used for?\n- The `ProverResult.serializer` object is used to serialize and deserialize `ProverResult` objects.\n\n3. What is the `CostedProverResult` case class and how does it differ from `ProverResult`?\n- The `CostedProverResult` case class extends `ProverResult` and adds a `cost` field to represent the cost of the proof." + }, + { + "fileName": "ProverUtils.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala", + "summary": "The `ProverUtils` trait is a collection of utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. The trait extends the `Interpreter` trait, which provides methods for evaluating ErgoScript expressions.\n\nThe `generateCommitmentsFor` method takes an `ErgoTree` and a `CTX` (context) and generates commitments for all the public keys provided. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates commitments for the public keys using the `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys. Currently, only keys in the form of `ProveDlog` and `ProveDiffieHellman` are supported, not more complex subtrees.\n\nThe `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys generates commitments (private, containing secret randomness, and public, containing only commitments) for all the public keys provided. The method traverses the sigma-tree and generates commitments for the public keys that match the keys in the `generateFor` sequence. The method uses the `DLogInteractiveProver` and `DiffieHellmanTupleInteractiveProver` classes to generate commitments for `ProveDlog` and `ProveDHTuple` public keys, respectively.\n\nThe `bagForMultisig` method extracts partial proofs of secret knowledge for particular secrets with their respective public images given. The method takes a `CTX`, an `ErgoTree`, a signature for the key, and sequences of `SigmaBoolean` public keys for real and simulated proofs. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates a proof tree using the `computeCommitments` method and the `SigSerializer` class. Finally, the method traverses the proof tree and extracts partial proofs of secret knowledge for the public keys that match the keys in the `realSecretsToExtract` and `simulatedSecretsToExtract` sequences. The method uses the `RealCommitment`, `RealSecretProof`, `SimulatedCommitment`, and `SimulatedSecretProof` classes to generate the partial proofs.\n\nOverall, the `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. These methods are used in the larger project to enable secure and efficient multi-party signing of transactions on the Ergo blockchain.", + "questions": "1. What is the purpose of the `ProverUtils` trait?\n- The `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for distributed signature applications.\n\n2. What types of public keys are currently supported by the `generateCommitmentsFor` method?\n- The `generateCommitmentsFor` method currently supports keys in the form of `ProveDlog` and `ProveDiffieHellman`, but not more complex subtrees.\n\n3. What is the input and output of the `bagForMultisig` method?\n- The `bagForMultisig` method takes in a context, a proposition to reduce, a proof for the reduced proposition, and public keys of secrets with real and simulated proofs. It returns a bag of `OtherSecretProven` and `OtherCommitment` hints." + } + ], + "folders": [], + "summary": "The code in this folder is primarily focused on the interpretation and evaluation of ErgoTree expressions, which are used in the Ergo blockchain for smart contracts. The code provides various classes and traits for tracking the cost of executing a program, representing cost results, managing context data, and generating proofs for ErgoTree scripts.\n\nFor example, the `CostAccumulator` class is used to track the cost of executing a program and ensure that it does not exceed a certain limit. This can be useful in optimizing the execution of smart contracts on a blockchain by limiting their resource consumption.\n\nThe `CostDetails` class and its subclasses provide an abstract representation of cost results obtained during evaluation, allowing for flexible and extensible manipulation of cost results. This can be used to optimize the performance of ErgoTree operations and reduce the computational cost of evaluating complex scripts.\n\nThe `Interpreter` trait serves as a base verifying interpreter for ErgoTrees, responsible for evaluating ErgoTree expressions in a given context and verifying them. It supports two alternative implementations: the old implementation based on AOT (Ahead-Of-Time) costing, and the new implementation based on JIT (Just-In-Time) costing.\n\nThe `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain.\n\nHere's an example of how the `Interpreter` and `ProverInterpreter` traits might be used in a larger project:\n\n```scala\nval interpreter = new Interpreter()\nval ergoTree: ErgoTree = ...\nval context: CTX = ...\nval env: ScriptEnv = ...\nval reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env)\n\nval prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter\nval message = ... // A message to sign\nval result = prover.prove(ergoTree, context, message) match {\n case Success(proof) => // Use the proof for validation or other purposes\n case Failure(e) => // Handle the error\n}\n```\n\nIn this example, the `Interpreter` is used to evaluate an ErgoTree expression in a given context, while the `ProverInterpreter` is used to generate a proof for the same ErgoTree script. The resulting proof can then be used for validation or other purposes.\n\nOverall, the code in this folder plays a crucial role in the larger project by providing the necessary tools and functionality for interpreting, evaluating, and proving ErgoTree expressions, which are essential for the execution of smart contracts on the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.json new file mode 100644 index 0000000000..f00af8ae16 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaPredef.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala", + "summary": "This code is part of the SigmaState language implementation and provides a set of predefined functions that can be used in ErgoScript, a language for writing smart contracts on the Ergo platform. These functions are organized into global, infix, unary, and special functions, and are used to perform various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives.\n\nFor example, the `AllOfFunc` function checks if all elements in a collection are true, while the `Blake2b256Func` function calculates the Blake2b hash of a given input byte array. These predefined functions are organized in a `PredefinedFuncRegistry` class, which maps function names to their corresponding implementations and metadata.\n\nThe code also provides a way to create and manipulate ErgoTree nodes, which represent the structure of a smart contract. This is done through the `IrBuilderFunc` type, which is a partial function that takes an `SValue` and a sequence of `SValue`s as input and returns an `SValue`. The `PredefFuncInfo` case class holds the metadata for a predefined function, including its `IrBuilderFunc`.\n\nHere's an example of using a predefined function in ErgoScript:\n\n```\n{\n val conditions = Coll(\n OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 },\n HEIGHT > 5000\n )\n allOf(conditions)\n}\n```\n\nIn this example, the `allOf` function is used to check if all conditions in the `conditions` collection are true. If they are, the script evaluates to true, and the transaction is considered valid.", + "questions": "1. **Question**: What is the purpose of the `SigmaPredef` object and its related classes and functions?\n **Answer**: The `SigmaPredef` object contains the definitions and metadata for predefined functions in the Sigma language. It provides a registry of global, infix, unary, and special functions, along with their corresponding IR builders, which are used to generate the intermediate representation of the code during compilation.\n\n2. **Question**: How are the predefined functions organized and categorized within the `SigmaPredef` object?\n **Answer**: Predefined functions are organized into several categories: global functions, infix functions, unary functions, and special functions. Each category is represented as a separate map within the `PredefinedFuncRegistry` class, and the functions are stored as instances of the `PredefinedFunc` case class.\n\n3. **Question**: How can a developer add a new predefined function to the `SigmaPredef` object?\n **Answer**: To add a new predefined function, a developer needs to create a new instance of the `PredefinedFunc` case class with the appropriate metadata, such as the function name, declaration, IR builder, and documentation. Then, the new function should be added to the corresponding map (global, infix, unary, or special) within the `PredefinedFuncRegistry` class." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.json new file mode 100644 index 0000000000..dfd9ca29d8 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "SourceContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala", + "summary": "The code in this file defines a case class and an object that provide functionality for creating and manipulating source code contexts. A source code context is a representation of the location of a piece of code within a larger source file, including the line number, column number, and the text of the line itself.\n\nThe `SourceContext` case class defines a context object with three fields: `line`, `column`, and `sourceLine`. The `line` and `column` fields represent the location of the code within the source file, while the `sourceLine` field contains the text of the line of code.\n\nThe `SourceContext` object provides two methods for creating `SourceContext` objects. The first method, `fromParserIndex`, takes an index and an input string as arguments and returns a `SourceContext` object representing the location of the code at the given index within the input string. This method works by splitting the input string into lines, scanning through the lines to determine the start and end indices of each line, and then finding the line containing the given index. If the index is not found within any line, the method returns a `SourceContext` object representing the last character of the last line.\n\nThe second method, `fromParserFailure`, takes a `Failure` object as an argument and returns a `SourceContext` object representing the location of the code that caused the failure. This method simply calls `fromParserIndex` with the index and input string from the `Failure` object.\n\nOverall, this code provides a useful tool for working with source code contexts in a larger project. For example, it could be used by a compiler or interpreter to provide more detailed error messages that include the location of the error within the source file. Here is an example of how this code could be used:\n\n```\nval input = \"val x = 42\\nval y = x + 1\\nprintln(y)\"\nval index = 10\nval context = SourceContext.fromParserIndex(index, input)\nprintln(s\"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}\")\n```\n\nThis code would output: `Error at line 2, column 5: val y = x + 1`.", + "questions": "1. What is the purpose of the `SourceContext` case class?\n- The `SourceContext` case class is used to store information about the location of a piece of code in the source file, including the line number, column number, and the source code on that line.\n\n2. What is the `fromParserIndex` method used for?\n- The `fromParserIndex` method is used to create a `SourceContext` object based on the index of a parsed piece of code and the input source file. It calculates the line and column numbers of the parsed code and returns a `SourceContext` object with that information.\n\n3. What is the `fromParserFailure` method used for?\n- The `fromParserFailure` method is used to create a `SourceContext` object based on a parsing failure. It takes in a `Failure` object and returns a `SourceContext` object with the line and column numbers of the failed code and the source code on that line." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/Terms.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/Terms.json new file mode 100644 index 0000000000..2edae4854f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/Terms.json @@ -0,0 +1,7 @@ +{ + "fileName": "Terms.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala", + "summary": "This code is part of the SigmaState language module and provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`.\n\nThe `Block` case class represents a block of value definitions, while `ZKProofBlock` represents an explicit Zero Knowledge scope in ErgoTree. The `Val` trait and its case class `ValNode` represent value definitions, and `Select` is a frontend node to select a field from an object. The `Ident` case class represents variable names parsed in the source code, and `Apply` represents the application of a function to given arguments.\n\nThe `Lambda` case class represents frontend implementation of lambdas, which should be transformed to `FuncValue`. The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree.\n\nThe code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types. These functions are used during the compilation and type checking of ErgoTree expressions.\n\nOverall, this code is essential for the proper functioning of the ErgoTree language, as it defines the structure and behavior of various nodes and provides utility functions for type manipulation.", + "questions": "1. **What is the purpose of the `ZKProofBlock` case class?**\n\n The `ZKProofBlock` case class represents an explicit Zero Knowledge scope in ErgoTree. The compiler checks Zero Knowledge properties and issues error messages in case of violations. It is used when the user wants to ensure Zero Knowledge of a specific set of operations.\n\n2. **What is the role of the `Val` trait and its related case classes?**\n\n The `Val` trait represents a block of Val definitions in the frontend representation. It is used to form a program structure and is not part of ErgoTree. The related case classes, such as `ValNode`, provide implementations for the `Val` trait.\n\n3. **How does the `MethodCall` case class work in ErgoTree?**\n\n The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree. It ensures that all ErgoTree instances are monomorphic by construction. During evaluation, it invokes the method on the object with the given arguments and returns the result." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/summary.json new file mode 100644 index 0000000000..f990cab536 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "lang", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaPredef.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala", + "summary": "This code is part of the SigmaState language implementation and provides a set of predefined functions that can be used in ErgoScript, a language for writing smart contracts on the Ergo platform. These functions are organized into global, infix, unary, and special functions, and are used to perform various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives.\n\nFor example, the `AllOfFunc` function checks if all elements in a collection are true, while the `Blake2b256Func` function calculates the Blake2b hash of a given input byte array. These predefined functions are organized in a `PredefinedFuncRegistry` class, which maps function names to their corresponding implementations and metadata.\n\nThe code also provides a way to create and manipulate ErgoTree nodes, which represent the structure of a smart contract. This is done through the `IrBuilderFunc` type, which is a partial function that takes an `SValue` and a sequence of `SValue`s as input and returns an `SValue`. The `PredefFuncInfo` case class holds the metadata for a predefined function, including its `IrBuilderFunc`.\n\nHere's an example of using a predefined function in ErgoScript:\n\n```\n{\n val conditions = Coll(\n OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 },\n HEIGHT > 5000\n )\n allOf(conditions)\n}\n```\n\nIn this example, the `allOf` function is used to check if all conditions in the `conditions` collection are true. If they are, the script evaluates to true, and the transaction is considered valid.", + "questions": "1. **Question**: What is the purpose of the `SigmaPredef` object and its related classes and functions?\n **Answer**: The `SigmaPredef` object contains the definitions and metadata for predefined functions in the Sigma language. It provides a registry of global, infix, unary, and special functions, along with their corresponding IR builders, which are used to generate the intermediate representation of the code during compilation.\n\n2. **Question**: How are the predefined functions organized and categorized within the `SigmaPredef` object?\n **Answer**: Predefined functions are organized into several categories: global functions, infix functions, unary functions, and special functions. Each category is represented as a separate map within the `PredefinedFuncRegistry` class, and the functions are stored as instances of the `PredefinedFunc` case class.\n\n3. **Question**: How can a developer add a new predefined function to the `SigmaPredef` object?\n **Answer**: To add a new predefined function, a developer needs to create a new instance of the `PredefinedFunc` case class with the appropriate metadata, such as the function name, declaration, IR builder, and documentation. Then, the new function should be added to the corresponding map (global, infix, unary, or special) within the `PredefinedFuncRegistry` class." + }, + { + "fileName": "SourceContext.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala", + "summary": "The code in this file defines a case class and an object that provide functionality for creating and manipulating source code contexts. A source code context is a representation of the location of a piece of code within a larger source file, including the line number, column number, and the text of the line itself.\n\nThe `SourceContext` case class defines a context object with three fields: `line`, `column`, and `sourceLine`. The `line` and `column` fields represent the location of the code within the source file, while the `sourceLine` field contains the text of the line of code.\n\nThe `SourceContext` object provides two methods for creating `SourceContext` objects. The first method, `fromParserIndex`, takes an index and an input string as arguments and returns a `SourceContext` object representing the location of the code at the given index within the input string. This method works by splitting the input string into lines, scanning through the lines to determine the start and end indices of each line, and then finding the line containing the given index. If the index is not found within any line, the method returns a `SourceContext` object representing the last character of the last line.\n\nThe second method, `fromParserFailure`, takes a `Failure` object as an argument and returns a `SourceContext` object representing the location of the code that caused the failure. This method simply calls `fromParserIndex` with the index and input string from the `Failure` object.\n\nOverall, this code provides a useful tool for working with source code contexts in a larger project. For example, it could be used by a compiler or interpreter to provide more detailed error messages that include the location of the error within the source file. Here is an example of how this code could be used:\n\n```\nval input = \"val x = 42\\nval y = x + 1\\nprintln(y)\"\nval index = 10\nval context = SourceContext.fromParserIndex(index, input)\nprintln(s\"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}\")\n```\n\nThis code would output: `Error at line 2, column 5: val y = x + 1`.", + "questions": "1. What is the purpose of the `SourceContext` case class?\n- The `SourceContext` case class is used to store information about the location of a piece of code in the source file, including the line number, column number, and the source code on that line.\n\n2. What is the `fromParserIndex` method used for?\n- The `fromParserIndex` method is used to create a `SourceContext` object based on the index of a parsed piece of code and the input source file. It calculates the line and column numbers of the parsed code and returns a `SourceContext` object with that information.\n\n3. What is the `fromParserFailure` method used for?\n- The `fromParserFailure` method is used to create a `SourceContext` object based on a parsing failure. It takes in a `Failure` object and returns a `SourceContext` object with the line and column numbers of the failed code and the source code on that line." + }, + { + "fileName": "Terms.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala", + "summary": "This code is part of the SigmaState language module and provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`.\n\nThe `Block` case class represents a block of value definitions, while `ZKProofBlock` represents an explicit Zero Knowledge scope in ErgoTree. The `Val` trait and its case class `ValNode` represent value definitions, and `Select` is a frontend node to select a field from an object. The `Ident` case class represents variable names parsed in the source code, and `Apply` represents the application of a function to given arguments.\n\nThe `Lambda` case class represents frontend implementation of lambdas, which should be transformed to `FuncValue`. The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree.\n\nThe code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types. These functions are used during the compilation and type checking of ErgoTree expressions.\n\nOverall, this code is essential for the proper functioning of the ErgoTree language, as it defines the structure and behavior of various nodes and provides utility functions for type manipulation.", + "questions": "1. **What is the purpose of the `ZKProofBlock` case class?**\n\n The `ZKProofBlock` case class represents an explicit Zero Knowledge scope in ErgoTree. The compiler checks Zero Knowledge properties and issues error messages in case of violations. It is used when the user wants to ensure Zero Knowledge of a specific set of operations.\n\n2. **What is the role of the `Val` trait and its related case classes?**\n\n The `Val` trait represents a block of Val definitions in the frontend representation. It is used to form a program structure and is not part of ErgoTree. The related case classes, such as `ValNode`, provide implementations for the `Val` trait.\n\n3. **How does the `MethodCall` case class work in ErgoTree?**\n\n The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree. It ensures that all ErgoTree instances are monomorphic by construction. During evaluation, it invokes the method on the object with the given arguments and returns the result." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang` folder is part of the SigmaState language implementation, which is used for writing smart contracts on the Ergo platform using ErgoScript. The folder contains three main files: `SigmaPredef.scala`, `SourceContext.scala`, and `Terms.scala`.\n\n`SigmaPredef.scala` provides a set of predefined functions that can be used in ErgoScript for various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives. These functions are organized into global, infix, unary, and special functions and are stored in a `PredefinedFuncRegistry` class. Here's an example of using a predefined function in ErgoScript:\n\n```scala\n{\n val conditions = Coll(\n OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 },\n HEIGHT > 5000\n )\n allOf(conditions)\n}\n```\n\n`SourceContext.scala` defines a case class and an object for creating and manipulating source code contexts, which represent the location of a piece of code within a larger source file. This can be useful for providing more detailed error messages in a compiler or interpreter. Here's an example of how this code could be used:\n\n```scala\nval input = \"val x = 42\\nval y = x + 1\\nprintln(y)\"\nval index = 10\nval context = SourceContext.fromParserIndex(index, input)\nprintln(s\"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}\")\n```\n\n`Terms.scala` provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`. The code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types, which are used during the compilation and type checking of ErgoTree expressions.\n\nOverall, the code in this folder is essential for the proper functioning of the ErgoTree language and the Ergo platform, as it defines the structure and behavior of various nodes, provides utility functions for type manipulation, and offers predefined functions for common operations in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.json new file mode 100644 index 0000000000..d7da15c934 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ApplySerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing Apply operations. The Apply operation is used to apply a function to a sequence of arguments. The purpose of this code is to provide a way to convert Apply operations into a byte stream that can be transmitted over a network or stored in a file.\n\nThe ApplySerializer class is a subclass of ValueSerializer and takes a constructor argument called cons, which is a function that takes a Value of SType and an IndexedSeq of Values of SType and returns a Value of SType. The opDesc method returns the Apply operation, which is used to identify the operation during serialization and deserialization.\n\nThe serialize method takes an Apply object and a SigmaByteWriter object and writes the Apply object to the SigmaByteWriter object. The func and args fields of the Apply object are written to the SigmaByteWriter object using the putValue and putValues methods of the SigmaByteWriter object, respectively.\n\nThe parse method takes a SigmaByteReader object and reads an Apply object from the SigmaByteReader object. The func and args fields of the Apply object are read from the SigmaByteReader object using the getValue and getValues methods of the SigmaByteReader object, respectively. The cons function is then called with the func and args fields to create a new Value of SType.\n\nOverall, this code provides a way to serialize and deserialize Apply operations in the Sigmastate project. This functionality is important for transmitting and storing Apply operations in a compact and efficient manner. An example of using this code would be to serialize an Apply operation and transmit it over a network to be executed on a remote machine.", + "questions": "1. What is the purpose of the ApplySerializer class?\n \n The ApplySerializer class is used to serialize and deserialize Apply objects, which represent function application in the Sigma programming language.\n\n2. What is the significance of the \"cons\" parameter in the ApplySerializer constructor?\n \n The \"cons\" parameter is a function that takes a Value[SType] and an IndexedSeq[Value[SType]] as arguments and returns a Value[SType]. It is used to construct an Apply object from a deserialized function and arguments.\n\n3. What is the role of the opDesc and funcInfo variables in the ApplySerializer class?\n \n The opDesc variable specifies that the ApplySerializer is associated with the Apply operation, while the funcInfo variable provides information about the function argument of an Apply object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.json new file mode 100644 index 0000000000..689df6f72a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "BlockValueSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.scala", + "summary": "The `BlockValueSerializer` class is responsible for serializing and deserializing `BlockValue` objects in the Sigmastate project. A `BlockValue` is a value that represents a block of code in the Sigmastate language. It consists of a sequence of `BlockItem` objects and a result expression of type `SType`. The `BlockValueSerializer` takes a constructor function as a parameter that is used to create a new `BlockValue` object from the deserialized data.\n\nThe `serialize` method of the `BlockValueSerializer` writes the `BlockValue` object to a `SigmaByteWriter` object. It first writes the length of the `items` sequence as a variable-length quantity (VLQ) using the `putUInt` method of the `SigmaByteWriter`. It then iterates over the `items` sequence and writes each `BlockItem` object using the `putValue` method of the `SigmaByteWriter`. Finally, it writes the result expression using the `putValue` method.\n\nThe `parse` method of the `BlockValueSerializer` reads a `BlockValue` object from a `SigmaByteReader` object. It first reads the length of the `items` sequence as a VLQ using the `getUIntExact` method of the `SigmaByteReader`. If the length is zero, it returns a `BlockValue` object with an empty sequence of `BlockItem` objects. Otherwise, it allocates a new array of `BlockItem` objects using the `safeNewArray` method of the `sigmastate.util` package and reads each `BlockItem` object using the `getValue` method of the `SigmaByteReader`. Finally, it reads the result expression using the `getValue` method and calls the constructor function with the `items` sequence and the result expression as arguments to create a new `BlockValue` object.\n\nThis class is used in the larger Sigmastate project to serialize and deserialize `BlockValue` objects for storage and transmission. For example, it may be used to store a `BlockValue` object in a database or to transmit it over a network. Here is an example of how to use the `BlockValueSerializer` to serialize and deserialize a `BlockValue` object:\n\n```\nval items = IndexedSeq(BlockItem.Const(ConstantNode(1)), BlockItem.Const(ConstantNode(2)))\nval result = IntConstant(3)\nval blockValue = BlockValue(items, result)\n\nval serializer = BlockValueSerializer(BlockValue.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(blockValue, writer)\nval bytes = writer.toBytes\n\nval reader = SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader).asInstanceOf[BlockValue]\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a serializer for the BlockValue class in the Sigmastate library, which is used to represent a block of code in a smart contract.\n\n2. What other classes or packages does this code depend on?\n- This code depends on several other classes and packages from the Sigmastate library, including Values, utils, and util.safeNewArray.\n\n3. Are there any potential performance issues with this code?\n- There is a potential performance issue in the parse method, where a new array is allocated for each block item even if the block is empty. This could be optimized by checking for an empty block and avoiding the array allocation in that case." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.json new file mode 100644 index 0000000000..286905c088 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "BoolToSigmaPropSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing the BoolToSigmaProp operation. The BoolToSigmaProp operation is used to convert a boolean value into a SigmaProp value, which is a cryptographic primitive used in the Sigmastate language to represent public keys and signatures.\n\nThe code defines a case class called BoolToSigmaPropSerializer, which takes a constructor function as a parameter. This constructor function is used to create a SigmaPropValue object from a BoolValue object. The BoolToSigmaPropSerializer class extends the ValueSerializer trait, which is used to serialize and deserialize values in the Sigmastate language.\n\nThe serialize method of the BoolToSigmaPropSerializer class takes a BoolToSigmaProp object and a SigmaByteWriter object as parameters. It then calls the putValue method of the SigmaByteWriter object to serialize the value of the BoolToSigmaProp object. The conditionInfo field is used to specify the type of the value being serialized.\n\nThe parse method of the BoolToSigmaPropSerializer class takes a SigmaByteReader object as a parameter. It reads the serialized value from the SigmaByteReader object and converts it to a BoolValue object. It then calls the constructor function passed to the BoolToSigmaPropSerializer class to create a SigmaPropValue object from the BoolValue object.\n\nOverall, the BoolToSigmaPropSerializer class is an important part of the Sigmastate project as it allows for the serialization and deserialization of the BoolToSigmaProp operation. This operation is used extensively in the Sigmastate language to represent public keys and signatures, making the BoolToSigmaPropSerializer class a crucial component of the larger project.", + "questions": "1. What is the purpose of the `BoolToSigmaPropSerializer` class?\n - The `BoolToSigmaPropSerializer` class is a serializer for the `BoolToSigmaProp` operation, which converts a boolean value to a sigma proposition value.\n\n2. What is the `opDesc` method used for?\n - The `opDesc` method is used to specify the operation description, which in this case is `BoolToSigmaProp`.\n\n3. What is the `parse` method doing?\n - The `parse` method is reading a boolean value from a `SigmaByteReader` and using the `cons` function to create a `SigmaPropValue` from it." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.json new file mode 100644 index 0000000000..7f4c93dd81 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.json @@ -0,0 +1,7 @@ +{ + "fileName": "CaseObjectSerialization.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.scala", + "summary": "The code above is a part of the SigmaState project and is located in the sigmastate.serialization package. The purpose of this code is to provide a serializer for case objects that extend the Value trait. \n\nThe CaseObjectSerialization class takes two parameters: the ValueCompanion object and the case object to be serialized. The ValueCompanion object is used to describe the case object and provide metadata about it. The case object is the actual object to be serialized. \n\nThe class extends the ValueSerializer trait, which provides methods for serializing and deserializing values. However, in this case, the serialize method is overridden to do nothing, as case objects do not need to be serialized. The parse method is also overridden to simply return the original case object, as it does not need to be deserialized. \n\nThis code can be used in the larger project to serialize and deserialize case objects that extend the Value trait. For example, if there is a case object representing a boolean value, it can be serialized using this code and then sent over a network or stored in a database. When it needs to be used again, it can be deserialized using this code. \n\nHere is an example of how this code can be used:\n\n```\nimport sigmastate.Values._\nimport sigmastate.serialization._\n\ncase object MyBoolean extends BoolConstant(false)\n\nval serializer = CaseObjectSerialization(BoolConstant, MyBoolean)\n\nval writer = new SigmaByteWriter()\nserializer.serialize(MyBoolean, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader)\n\nassert(deserialized == MyBoolean)\n```\n\nIn this example, a case object representing a boolean value is created and then serialized using the CaseObjectSerialization class. The resulting bytes can then be sent over a network or stored in a database. When the value is needed again, it can be deserialized using the same serializer. The deserialized value should be equal to the original value.", + "questions": "1. What is the purpose of the `CaseObjectSerialization` class?\n - The `CaseObjectSerialization` class is a value serializer that serializes and deserializes a case object of type `V`.\n\n2. What is the significance of the `ValueCompanion` parameter in the `CaseObjectSerialization` constructor?\n - The `ValueCompanion` parameter is used to provide metadata about the case object being serialized, such as its op code and type.\n\n3. Why does the `serialize` method of `CaseObjectSerialization` do nothing?\n - The `serialize` method does nothing because case objects are already fully defined and do not need to be serialized. The `parse` method simply returns the original case object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.json new file mode 100644 index 0000000000..71d618a396 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConcreteCollectionBooleanConstantSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.scala", + "summary": "The `ConcreteCollectionBooleanConstantSerializer` class is a serializer for a specific type of collection in the `sigmastate` package called `ConcreteCollection`. This serializer is specifically designed to handle collections of `BooleanConstant` values, which are values that represent a constant `Boolean` value in the Sigma programming language. \n\nThe purpose of this serializer is to convert a `ConcreteCollection` of `BooleanConstant` values into a byte stream that can be transmitted or stored, and to convert that byte stream back into a `ConcreteCollection` of `BooleanConstant` values. This is useful in the larger project because it allows collections of `BooleanConstant` values to be transmitted or stored efficiently.\n\nThe `serialize` method takes a `ConcreteCollection` of `BooleanConstant` values and a `SigmaByteWriter` and writes the collection to the writer as a byte stream. The byte stream consists of two parts: the number of items in the collection, encoded as an unsigned short, and the items themselves, encoded as a sequence of bits. The bits are packed into a `Boolean` array and then written to the writer using the `putBits` method of the `SigmaByteWriter`.\n\nThe `parse` method takes a `SigmaByteReader` and reads a byte stream from it, converting it back into a `ConcreteCollection` of `BooleanConstant` values. The byte stream is assumed to be in the same format as the one produced by the `serialize` method. The method first reads the number of items in the collection as an unsigned short, and then reads the items themselves as a sequence of bits using the `getBits` method of the `SigmaByteReader`. The bits are then converted back into `BooleanConstant` values and stored in an `IndexedSeq`. Finally, the `cons` method is called with the `IndexedSeq` of `BooleanConstant` values and the `SBoolean` type to create a new `ConcreteCollection` of `BooleanConstant` values.\n\nOverall, the `ConcreteCollectionBooleanConstantSerializer` class provides a way to efficiently serialize and deserialize collections of `BooleanConstant` values in the Sigma programming language. This is useful in the larger project because it allows these collections to be transmitted or stored efficiently, which can improve the performance of the system as a whole.", + "questions": "1. What is the purpose of the `ConcreteCollectionBooleanConstantSerializer` class?\n- The `ConcreteCollectionBooleanConstantSerializer` class is a value serializer for a concrete collection of boolean constants.\n\n2. What is the `opDesc` method used for?\n- The `opDesc` method is used to return the operation description of the serializer, which is `ConcreteCollectionBooleanConstant`.\n\n3. What is the purpose of the `parse` method?\n- The `parse` method is used to parse a byte stream and return a value of type `SCollection[SBoolean.type]` by converting a sequence of bits into a sequence of boolean constants." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.json new file mode 100644 index 0000000000..8daf5f79b4 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConcreteCollectionSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.scala", + "summary": "The `ConcreteCollectionSerializer` class is responsible for serializing and deserializing instances of the `ConcreteCollection` class. This is done by implementing the `ValueSerializer` trait and overriding its `serialize` and `parse` methods.\n\nThe `serialize` method takes a `ConcreteCollection` instance and a `SigmaByteWriter` instance as input, and writes the collection's size, element type, and each item to the writer. The `parse` method takes a `SigmaByteReader` instance as input, reads the collection's size and element type from the reader, reads each item from the reader, and constructs a new `ConcreteCollection` instance using the provided constructor function `cons`.\n\nThe `ConcreteCollection` class represents a collection of values of a specific type `SType`. It is a case class that takes an `IndexedSeq` of `Value[SType]` instances and an `SType` instance as input. The `ConcreteCollectionSerializer` class is used to serialize and deserialize instances of this class.\n\nThis code is part of the `sigmastate` project, which is a library for building and verifying cryptographic protocols using Sigma protocols. The `ConcreteCollectionSerializer` class is used in the serialization and deserialization of values in these protocols. For example, it may be used to serialize and deserialize a collection of public keys or signatures in a multi-signature scheme.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for a concrete collection of values in the Sigmastate serialization library.\n\n2. What types of values can be serialized using this code?\n - This code can serialize concrete collections of values with any subtype of SType.\n\n3. What is the purpose of the `HOTSPOT` comment in the code?\n - The `HOTSPOT` comment indicates that the following code is performance-critical and should not be modified for readability or style." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.json new file mode 100644 index 0000000000..82e422ae83 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConstantPlaceholderSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing constant placeholders. A constant placeholder is a value that is not known at the time of creation but will be resolved to a constant value later on. This is useful in situations where a value needs to be computed at runtime but the computation is expensive or not possible at the time of creation.\n\nThe `ConstantPlaceholderSerializer` class is a serializer for `ConstantPlaceholder` objects. It takes a function `cons` that creates a `Value` object from an integer ID and an `SType` object. The `ConstantPlaceholderSerializer` class extends the `ValueSerializer` class, which is a generic serializer for `Value` objects.\n\nThe `serialize` method takes a `ConstantPlaceholder` object and a `SigmaByteWriter` object and writes the ID of the `ConstantPlaceholder` object to the writer. The `parse` method takes a `SigmaByteReader` object and reads the ID of the `ConstantPlaceholder` object. It then checks if the `resolvePlaceholdersToConstants` flag is set to true. If it is, it retrieves the constant value from the `constantStore` using the ID and returns it. If not, it calls the `cons` function to create a `Value` object from the ID and the `SType` object of the constant value.\n\nThis code is used in the larger Sigmastate project to serialize and deserialize constant placeholders. It allows for efficient computation of values at runtime by deferring the computation until the value is needed. An example usage of this code would be in a smart contract that needs to compute a value based on user input. The contract can create a constant placeholder for the user input and then resolve it to a constant value later on when the computation is needed.", + "questions": "1. What is the purpose of this code?\n This code defines a serializer for a ConstantPlaceholder value in the Sigmastate library.\n\n2. What is the input and output of the `ConstantPlaceholderSerializer` class?\n The input is a function that takes an integer and an SType and returns a Value of that SType. The output is a ValueSerializer for ConstantPlaceholder values.\n\n3. What is the significance of the `resolvePlaceholdersToConstants` flag in the `parse` method?\n This flag determines whether the serializer should return the actual constant value or a ConstantPlaceholder value with the given ID. If the flag is true, the serializer returns the constant value; otherwise, it returns a ConstantPlaceholder value." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.json new file mode 100644 index 0000000000..2c515b2b2f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConstantSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.scala", + "summary": "The ConstantSerializer class is a part of the sigmastate.serialization package and is responsible for serializing and deserializing Constant values. This class works in tandem with the DataSerializer class, which is responsible for serializing and deserializing data values. If any changes are made to one class, it is important to check the other class to ensure compatibility.\n\nThe ConstantSerializer class is a case class that takes a SigmaBuilder as a parameter. It extends the ValueSerializer trait, which is responsible for serializing and deserializing values of type Constant[SType]. The opDesc method returns the Constant object, which is used to identify the operation during serialization and deserialization.\n\nThe serialize method takes a Constant[SType] object and a SigmaByteWriter object as parameters. It first writes the type of the Constant object to the SigmaByteWriter using the putType method. It then calls the DataSerializer.serialize method to serialize the value of the Constant object and writes it to the SigmaByteWriter.\n\nThe deserialize method takes a SigmaByteReader object as a parameter and returns a Constant[SType] object. It first reads the type of the Constant object from the SigmaByteReader using the getType method. It then calls the DataSerializer.deserialize method to deserialize the value of the Constant object. Finally, it uses the SigmaBuilder object to create a new Constant[SType] object with the deserialized value and type.\n\nOverall, the ConstantSerializer class is an important component of the larger project as it enables the serialization and deserialization of Constant values. This is crucial for the efficient storage and transmission of data within the project. Below is an example of how the ConstantSerializer class can be used:\n\n```\nval builder = new SigmaBuilder\nval constant = builder.mkConstant(42, SInt)\nval writer = new SigmaByteWriter\nConstantSerializer(builder).serialize(constant, writer)\nval reader = new SigmaByteReader(writer.toBytes)\nval deserialized = ConstantSerializer(builder).deserialize(reader)\nassert(constant == deserialized)\n```", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for the Constant class in the Sigmastate library, which is used to serialize and deserialize constant values of various types.\n\n2. What other classes or libraries does this code depend on?\n \n This code depends on several other classes and libraries from the Sigmastate library, including SType, Value, SigmaBuilder, SigmaByteReader, SigmaByteWriter, and DataSerializer.\n\n3. Are there any potential performance or security concerns with this code?\n \n It is possible that there could be performance or security concerns with this code, particularly if it is used to serialize or deserialize large amounts of data or if it is used in a context where security is critical. However, without more information about the specific use case and context, it is difficult to say for certain." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.json new file mode 100644 index 0000000000..32d6870df6 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.json @@ -0,0 +1,7 @@ +{ + "fileName": "ConstantStore.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.scala", + "summary": "The `ConstantStore` class is used in the deserialization process of the project. It is responsible for storing and retrieving constant values of various types. The class takes an optional `IndexedSeq` of `Constant` objects as a constructor argument, which is used to initialize the internal `store` buffer. \n\nThe `put` method is used to add a new `Constant` object to the `store` buffer. It takes a `Constant` object of any subtype of `SType` as an argument and returns a `ConstantPlaceholder` object of the same type. The `Constant` object is cast to `Constant[SType]` and added to the `store` buffer. Then, a new `ConstantPlaceholder` object is created using the `SigmaBuilder` instance passed as an implicit parameter. The `ConstantPlaceholder` object is initialized with the index of the newly added `Constant` object in the `store` buffer and its type. Finally, the `ConstantPlaceholder` object is cast to the appropriate subtype of `ConstantPlaceholder` and returned.\n\nThe `get` method is used to retrieve a `Constant` object from the `store` buffer by its index. It takes an integer index as an argument and returns the `Constant` object at that index.\n\nThe `getAll` method is used to retrieve all `Constant` objects from the `store` buffer as an `IndexedSeq`. It returns a copy of the `store` buffer as an array.\n\nOverall, the `ConstantStore` class provides a simple and efficient way to store and retrieve constant values during the deserialization process. It can be used in conjunction with other classes and methods to deserialize complex data structures in the project. \n\nExample usage:\n\n```\nval store = new ConstantStore()\nval constant = Constant[SType](1)\nval placeholder = store.put(constant)\nval retrievedConstant = store.get(0)\nval allConstants = store.getAll\n```", + "questions": "1. What is the purpose of the ConstantStore class?\n - The ConstantStore class is used for storing and retrieving Constant objects of a specific SType, and also provides a way to create ConstantPlaceholder objects.\n2. What is the significance of the HOTSPOT comment?\n - The HOTSPOT comment indicates that the code in the class is critical for deserialization and should not be modified for the sake of code readability or style.\n3. What is the role of the SigmaBuilder implicit parameter in the put method?\n - The SigmaBuilder implicit parameter is used to create a ConstantPlaceholder object with the correct type information, based on the SType of the Constant being stored." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.json new file mode 100644 index 0000000000..f88223e772 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "CreateAvlTreeSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.scala", + "summary": "The `CreateAvlTreeSerializer` class is responsible for serializing and deserializing instances of the `CreateAvlTree` operation in the Sigma state language. The `CreateAvlTree` operation is used to create an authenticated AVL+ tree, which is a data structure that allows for efficient storage and retrieval of key-value pairs while ensuring the integrity of the data. \n\nThe `CreateAvlTreeSerializer` class takes a constructor function as a parameter, which is used to create an instance of the `AvlTreeValue` class. This allows for flexibility in creating different types of AVL+ trees with varying parameters. \n\nThe class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing instances of the `CreateAvlTree` operation. The `serialize` method takes an instance of `CreateAvlTree` and a `SigmaByteWriter` object, and writes the operation's parameters to the writer in a specific order. The `parse` method takes a `SigmaByteReader` object and reads the operation's parameters in the same order, then uses the constructor function to create an instance of `AvlTreeValue` with the parsed parameters. \n\nThe class also defines several `DataInfo` objects that provide information about the types and sizes of the operation's parameters. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` to ensure that the serialized data is correctly formatted and can be deserialized properly. \n\nOverall, the `CreateAvlTreeSerializer` class plays an important role in the serialization and deserialization of the `CreateAvlTree` operation, which is a key component of the Sigma state language's functionality for creating authenticated AVL+ trees. Its flexibility in allowing for different types of AVL+ trees to be created makes it a valuable tool for developers working with the Sigma state language. \n\nExample usage:\n\n```scala\nval serializer = CreateAvlTreeSerializer((flags, digest, keyLength, valueLength) =>\n AvlTreeValue(flags, digest, keyLength, valueLength)\n)\n\nval avlTree = AvlTreeValue(Array[Byte](1, 2, 3), 32, None)\nval serialized = serializer.serialize(CreateAvlTree(avlTree))\nval deserialized = serializer.parse(SigmaByteReader(serialized)).tree\nassert(avlTree == deserialized)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for the CreateAvlTree operation in the Sigma state language. It serializes and deserializes the operation's arguments to and from bytes.\n\n2. What other operations or values does this code depend on?\n \n This code depends on several other classes and objects from the sigmastate package, including SCollection, SOption, SigmaByteReader, SigmaByteWriter, AvlTreeValue, and ValueSerializer.\n\n3. Are there any potential performance or security concerns with this code?\n \n It is difficult to determine potential performance or security concerns without more context about the overall project and how this code is used. However, it is worth noting that this code is responsible for serializing and deserializing sensitive data related to the creation of an AVL tree, so it is important to ensure that it is implemented correctly and securely." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.json new file mode 100644 index 0000000000..4e3637ec25 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "DataSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.scala", + "summary": "The `DataSerializer` object provides methods for serializing and deserializing data values of various types. It is used in tandem with the `ConstantSerializer` object to serialize and deserialize constants in the Sigma programming language. \n\nThe `serialize` method takes a data value `v`, a type descriptor `tpe`, and a `SigmaByteWriter` object `w`. It recursively deconstructs the type structure of `tpe` and serializes the subcomponents of `v` accordingly. Primitive types are the leaves of the type tree, and they are served as the basis of recursion. The serialized data is written to the `SigmaByteWriter` object `w`. \n\nThe `deserialize` method reads a data value from a `SigmaByteReader` object `r`. The data value bytes are expected to conform to the type descriptor `tpe`. The method recursively constructs the data value from the serialized subcomponents read from `r`. The data structure depth is limited by `r.maxTreeDepth`, which is `SigmaSerializer.MaxTreeDepth` by default. \n\nThe `deserializeColl` method is a helper method for deserializing collections. It takes a length `len`, an element type descriptor `tpeElem`, and a `SigmaByteReader` object `r`. It constructs a collection of the specified length and element type from the serialized data read from `r`. \n\nThe `DataSerializer` object is used in the larger project to serialize and deserialize constants in the Sigma programming language. For example, the `serialize` method is used to serialize constants in the `ConstantNode` class, which represents a constant value in a Sigma expression. The `deserialize` method is used to deserialize constants in the `ConstantNode` class and other classes that use constants. \n\nExample usage of the `serialize` method:\n\n```\nval value: Int = 42\nval tpe: SInt.type = SInt\nval writer: SigmaByteWriter = new SigmaByteWriter()\nDataSerializer.serialize(value, tpe, writer)\nval bytes: Array[Byte] = writer.toBytes\n```\n\nExample usage of the `deserialize` method:\n\n```\nval bytes: Array[Byte] = Array(0, 0, 0, 42)\nval tpe: SInt.type = SInt\nval reader: SigmaByteReader = SigmaByteReader(bytes)\nval value: Int = DataSerializer.deserialize(tpe, reader)\n```", + "questions": "1. What is the purpose of the `DataSerializer` object?\n- The `DataSerializer` object provides methods for serializing and deserializing data values of various types.\n\n2. What types of data values can be serialized and deserialized using the `DataSerializer` object?\n- The `DataSerializer` object can serialize and deserialize data values of types such as `SUnit`, `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SString`, `SBigInt`, `SGroupElement`, `SSigmaProp`, `SBox`, `SAvlTree`, and `SCollectionType`.\n\n3. What is the purpose of the `deserializeColl` method?\n- The `deserializeColl` method is used to deserialize a collection of data values of a given type. It takes in the length of the collection, the type of the elements in the collection, and a `SigmaByteReader` object, and returns a `Coll` object containing the deserialized data values." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.json new file mode 100644 index 0000000000..3c1ef60868 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoTreeSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.scala", + "summary": "The `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree instances, which represent the spending conditions of a transaction output in the Ergo platform. ErgoTree instances can be serialized with or without a size bit, and with or without constant segregation. The class provides methods for serializing and deserializing ErgoTree instances, as well as methods for substituting constants in a serialized ErgoTree.\n\nThe `serializeErgoTree` method takes an ErgoTree instance and returns its serialized representation as an array of bytes. If the ErgoTree instance has an UnparsedErgoTree as its root, the original bytes are returned. Otherwise, the header, constants, and root of the ErgoTree are serialized.\n\nThe `deserializeErgoTree` method takes an array of bytes and returns the corresponding ErgoTree instance. It first deserializes the header and optional size, then deserializes the constants and the root of the ErgoTree. If a ValidationException is thrown during deserialization, an UnparsedErgoTree is created with the original bytes and the exception.\n\nThe `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It returns a new serialized ErgoTree with the constants at the specified positions replaced with the new values. This method is useful for using serialized scripts as pre-defined templates.\n\nExample usage:\n\n```scala\nval ergoTree: ErgoTree = ...\nval serializer = ErgoTreeSerializer.DefaultSerializer\n\n// Serialize ErgoTree\nval serialized: Array[Byte] = serializer.serializeErgoTree(ergoTree)\n\n// Deserialize ErgoTree\nval deserialized: ErgoTree = serializer.deserializeErgoTree(serialized)\n\n// Substitute constants\nval positions: Array[Int] = Array(0, 2)\nval newVals: Array[Constant[SType]] = Array(c1, c2)\nval (newBytes, len) = serializer.substituteConstants(serialized, positions, newVals)\n```\n\nThe rationale for soft-forkable ErgoTree serialization is explained in the comments, detailing how the header version check and size bit can be used to handle soft forks and maintain consensus.", + "questions": "1. **Question**: What is the purpose of the `ErgoTreeSerializer` class?\n **Answer**: The `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree objects, which represent the structure of Ergo smart contracts. It also provides methods for substituting constants in the serialized ErgoTree, allowing for efficient script templates.\n\n2. **Question**: How does the `substituteConstants` method work and what is its purpose?\n **Answer**: The `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It replaces the constants at the specified positions with the new values, allowing for the use of serialized scripts as pre-defined templates. This method is efficient, with a time complexity of O(n + m), where n is the number of positions and m is the number of constants.\n\n3. **Question**: What is the rationale behind the soft-forkable ErgoTree serialization?\n **Answer**: The soft-forkable ErgoTree serialization allows for the possibility of upgrading the protocol without causing a hard fork. It ensures that nodes with different versions can still parse and validate scripts, and that the decision about a soft-fork can be made later. This is achieved by checking the content of the script against the version number in the header during deserialization and enforcing certain rules based on the version numbers of the nodes and the script." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.json new file mode 100644 index 0000000000..b72384b311 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "FuncValueSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the FuncValue class in the Sigmastate project. The FuncValue class represents a function value in the Sigmastate language, which is a typed functional language used for smart contracts on the Ergo blockchain. The purpose of this serializer is to convert a FuncValue object into a byte array that can be transmitted over the network or stored on disk, and to deserialize a byte array back into a FuncValue object.\n\nThe FuncValueSerializer class is a subclass of the ValueSerializer class, which is a generic serializer for all types of values in Sigmastate. The FuncValueSerializer overrides the serialize and parse methods of the ValueSerializer class to handle the serialization and deserialization of FuncValue objects. The serialize method takes a FuncValue object and a SigmaByteWriter object as input, and writes the serialized byte array to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the byte array from the SigmaByteReader, and returns a FuncValue object.\n\nThe FuncValueSerializer class defines several DataInfo objects that describe the format of the serialized byte array. These DataInfo objects include information about the number of function arguments, the identifier and type of each argument, and the function body. The serialize method uses these DataInfo objects to write the serialized byte array in the correct format. The parse method uses the SigmaByteReader object to read the serialized byte array in the correct format, and constructs a FuncValue object from the deserialized data.\n\nOverall, the FuncValueSerializer class is an important component of the Sigmastate project, as it enables the serialization and deserialization of function values, which are a fundamental building block of smart contracts on the Ergo blockchain. An example of how this serializer might be used in the larger project is in the transmission of a smart contract from one node to another over the network. The FuncValueSerializer would be used to convert the smart contract into a byte array that can be transmitted over the network, and to reconstruct the smart contract on the receiving node from the byte array.", + "questions": "1. What is the purpose of this code?\n- This code defines a serializer for a function value in the Sigmastate language.\n\n2. What other classes or packages does this code depend on?\n- This code depends on classes and packages from the Sigmastate and Sigmastate.utils packages.\n\n3. What is the format of the serialized function value?\n- The serialized function value includes the number of arguments, the identifier and type of each argument, and the function body." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.json new file mode 100644 index 0000000000..5830442587 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "GetVarSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the GetVar operation in the SigmaState project. The SigmaState project is a framework for building smart contracts on top of the UTXO (Unspent Transaction Output) model used in cryptocurrencies like Bitcoin. The GetVar operation retrieves a context variable from the current state of the UTXO. \n\nThe GetVarSerializer class is responsible for serializing and deserializing instances of the GetVar operation. It takes a constructor function as a parameter that is used to create a new instance of the GetVar operation during deserialization. The class extends the ValueSerializer trait, which is a generic serializer for SigmaState values. \n\nThe serialize method takes a GetVar instance and a SigmaByteWriter instance as parameters. It writes the variable ID and the expected type of the context variable to the SigmaByteWriter. The parse method takes a SigmaByteReader instance as a parameter and reads the variable ID and the type of the context variable from it. It then uses the constructor function to create a new instance of the GetVar operation with the retrieved variable ID and type.\n\nThis serializer is an important part of the SigmaState project as it allows for the serialization and deserialization of the GetVar operation, which is a crucial part of building smart contracts on the UTXO model. It can be used in conjunction with other serializers and deserializers to build a complete serialization framework for the SigmaState project. \n\nExample usage of the GetVarSerializer class:\n\n```\nval serializer = GetVarSerializer((varId: Byte, tpe: SType) => GetVar(varId, tpe))\nval getVar = GetVar(1, SInt)\nval writer = new SigmaByteWriter()\nserializer.serialize(getVar, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\nassert(parsed == getVar)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the `GetVar` operation in the Sigma state language, which is used to retrieve a context variable in a UTXO transaction.\n2. What other operations are available in the `sigmastate` package?\n - The `sigmastate` package contains other operations and values used in the Sigma state language, such as `AND`, `OR`, `Xor`, `IntConstant`, `ByteArrayConstant`, etc.\n3. What is the role of the `cons` parameter in the `GetVarSerializer` case class?\n - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value` of type `SOption[SType]`. It is used to construct a `GetVar` object from the serialized data." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.json new file mode 100644 index 0000000000..1052cadb06 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "GroupElementSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.scala", + "summary": "The `GroupElementSerializer` object is responsible for serializing and deserializing elliptic curve points to and from bytes. This is an important functionality in the larger project as elliptic curve cryptography is used extensively. \n\nThe serializer encodes every point in compressed form, meaning only the X coordinate and the sign of Y are stored. For secp256k1 point, 33 bytes are needed. The first byte indicates whether the Y coordinate is positive or negative (2 for positive, 3 for negative), while the other 32 bytes contain the X coordinate. The special case of an infinity point is encoded by 33 zeroes. Therefore, every elliptic curve point is always encoded with 33 bytes.\n\nThe `serialize` method takes an elliptic curve point and a `SigmaByteWriter` object as input. If the point is an infinity point, it writes the pre-defined `identityPointEncoding` to the writer. Otherwise, it normalizes the point, determines the sign of Y, gets the encoded X coordinate, and creates a new byte array `PO` of length `X.length + 1`. It sets the first byte of `PO` to 0x03 if the Y sign is negative, and 0x02 otherwise. It then copies the X coordinate to the remaining bytes of `PO`. Finally, it writes `PO` to the writer.\n\nThe `parse` method takes a `SigmaByteReader` object as input and returns an elliptic curve point. It reads `encodingSize` bytes from the reader and checks if the first byte is zero. If it is not zero, it decodes the point using the `decodePoint` method of the `curve` object. Otherwise, it returns the identity point of the curve.\n\nThe `parse` method is also overloaded to take an array of bytes as input. It creates a new `SigmaByteReader` object using the `startReader` method of the `SigmaSerializer` object and passes it to the `parse` method.\n\nOverall, the `GroupElementSerializer` object provides an essential functionality for the project by allowing elliptic curve points to be serialized and deserialized to and from bytes.", + "questions": "1. What is the purpose of this code?\n- This code is a serializer that encodes and decodes elliptic curve points to and from bytes.\n\n2. What type of elliptic curve is being used?\n- The code is using the secp256k1 elliptic curve.\n\n3. How are infinity points encoded?\n- Infinity points are encoded as an array of 33 zeroes." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.json new file mode 100644 index 0000000000..3c90ab4026 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "LogicalNotSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the LogicalNot operation in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of existing blockchain protocols. \n\nThe LogicalNot operation is a unary logical negation operation that takes a boolean input and returns its negation. The purpose of this serializer is to provide a way to convert LogicalNot objects into a byte representation that can be transmitted over the network or stored in a database. \n\nThe LogicalNotSerializer class takes a constructor argument `cons` which is a function that takes a BoolValue object and returns a new BoolValue object. This function is used to construct a new LogicalNot object during deserialization. \n\nThe `opDesc` method returns the LogicalNot operation object, which is used to identify the operation during serialization and deserialization. The `inputInfo` value is a DataInfo object that describes the input argument to the LogicalNot operation. \n\nThe `serialize` method takes a LogicalNot object and a SigmaByteWriter object and writes the input value of the LogicalNot object to the SigmaByteWriter using the `putValue` method. \n\nThe `parse` method takes a SigmaByteReader object and reads the input value of the LogicalNot object using the `getValue` method. It then constructs a new BoolValue object using the `cons` function and returns it. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize LogicalNot objects for use in smart contracts. For example, a smart contract that uses LogicalNot operations could use this serializer to store and retrieve LogicalNot objects from a database or transmit them over the network. \n\nExample usage:\n\n```\nval logicalNot = LogicalNot(BoolConstant(true))\nval serializer = LogicalNotSerializer((bv: BoolValue) => bv)\nval writer = new SigmaByteWriter()\nserializer.serialize(logicalNot, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\nassert(parsed == logicalNot)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code is a serializer for the LogicalNot operation in the Sigma protocol. It serializes and deserializes LogicalNot objects.\n\n2. What is the inputArg used for in this code?\n The inputArg is used to define the type of the input argument for the LogicalNot operation.\n\n3. What is the significance of the cons parameter in the LogicalNotSerializer case class?\n The cons parameter is a constructor function that takes a BoolValue as input and returns a BoolValue. It is used to create a new LogicalNot object during deserialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.json new file mode 100644 index 0000000000..8348ccaeaa --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "MethodCallSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.scala", + "summary": "The `MethodCallSerializer` class is responsible for serializing and deserializing `MethodCall` objects in the `sigmastate` package. A `MethodCall` is a node in the Sigma protocol's abstract syntax tree (AST) that represents a method call on an object. The purpose of this class is to convert `MethodCall` objects to and from a byte stream that can be transmitted over the network or stored on disk.\n\nThe `MethodCallSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all types of `Value` objects in the Sigma protocol. It takes a constructor function as a parameter that is used to create a new `Value` object from the deserialized data. The `MethodCallSerializer` class overrides the `serialize` and `parse` methods of the `ValueSerializer` class to implement the serialization and deserialization logic for `MethodCall` objects.\n\nThe `serialize` method writes the `MethodCall` object to a `SigmaByteWriter` object. It first writes the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. The `parse` method reads the `MethodCall` object from a `SigmaByteReader` object. It reads the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. It then constructs a new `MethodCall` object using the constructor function passed to the `MethodCallSerializer` constructor.\n\nThe `MethodCallSerializer` class also defines several `DataInfo` objects that describe the format of the serialized data. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` classes to write and read the data in the correct format.\n\nThe `MethodCallSerializer` class also defines a `getComplexity` method that returns the complexity of the `MethodCall` object. This method is used to calculate the cost of executing the `MethodCall` object in the Sigma protocol.\n\nOverall, the `MethodCallSerializer` class is an important component of the Sigma protocol's serialization and deserialization infrastructure. It allows `MethodCall` objects to be transmitted over the network or stored on disk in a compact and efficient format.", + "questions": "1. What is the purpose of this code?\n- This code defines a serializer for the MethodCall class in the sigmastate package, which is used to serialize and deserialize method calls in the ErgoTree language.\n\n2. What is the significance of the `specializeFor` method call?\n- The `specializeFor` method call is used to create a specialized SMethod instance based on the type of the receiver object and the types of the arguments passed to the method call. This ensures that the method call is monomorphic and can be properly serialized and deserialized.\n\n3. What is the purpose of the `getComplexity` method?\n- The `getComplexity` method returns the complexity of the MethodCall serialization, which is used to calculate the overall complexity of the ErgoTree. However, in this implementation, the complexity is added explicitly in the `parse` method, so this method returns 0." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.json new file mode 100644 index 0000000000..b2a98faccf --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ModQArithOpSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.scala", + "summary": "The ModQArithOpSerializer is a class that serializes and deserializes ModQArithOp objects. ModQArithOp is a class that represents modular arithmetic operations on BigIntegers. The purpose of this serializer is to convert ModQArithOp objects into a byte stream that can be transmitted over a network or stored in a file, and to convert the byte stream back into ModQArithOp objects.\n\nThe ModQArithOpSerializer class takes two arguments: opDesc, which is an instance of ModQArithOpCompanion, and cons, which is a function that takes two BigIntValue objects and returns a new BigIntValue object. The opDesc argument provides information about the ModQArithOp operation being serialized, such as the types of its arguments. The cons argument is used to create a new ModQArithOp object from the deserialized arguments.\n\nThe serialize method takes a ModQArithOp object and a SigmaByteWriter object as arguments. It writes the left and right arguments of the ModQArithOp object to the SigmaByteWriter object using the putValue method. The putValue method converts the argument to a byte stream and writes it to the SigmaByteWriter object.\n\nThe parse method takes a SigmaByteReader object as an argument. It reads the left and right arguments of the ModQArithOp object from the SigmaByteReader object using the getValue method. The getValue method reads a byte stream from the SigmaByteReader object and converts it to a Value object. The asBigInt method is then used to convert the Value object to a BigInt object. Finally, the cons function is called with the two BigInt objects as arguments to create a new ModQArithOp object.\n\nThis serializer is an important component of the larger project because it allows ModQArithOp objects to be transmitted over a network or stored in a file. It can be used in conjunction with other serializers to transmit and store complex data structures that include ModQArithOp objects. For example, a transaction that includes a ModQArithOp operation could be serialized using this serializer and transmitted over a network to be included in a blockchain.", + "questions": "1. What is the purpose of this code?\n - This code is a serializer for ModQArithOp, which is a type of arithmetic operation on modular integers in the Sigma protocol.\n\n2. What is the expected input and output of this code?\n - The input is a ModQArithOp object, which consists of two BigIntValue arguments. The output is a serialized version of the object or a BigIntValue resulting from parsing a serialized object.\n\n3. Are there any known issues or areas for improvement in this code?\n - Yes, there is a TODO comment indicating that the code needs to be covered with tests." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.json new file mode 100644 index 0000000000..a690d87bdd --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ModQSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the ModQ class in the Sigmastate project. The ModQ class represents a modular integer value, which is a value that is reduced modulo a prime number. The purpose of this serializer is to convert ModQ objects into a byte stream that can be transmitted or stored, and to convert byte streams back into ModQ objects.\n\nThe serializer is implemented as an object called ModQSerializer, which extends the ValueSerializer trait. The ValueSerializer trait is a generic trait that defines methods for serializing and deserializing objects of any class that extends the Value trait. The Value trait is a trait that is extended by all value types in the Sigmastate project.\n\nThe ModQSerializer object defines two methods for serializing and deserializing ModQ objects. The serialize method takes a ModQ object and a SigmaByteWriter object as input, and writes the ModQ object to the SigmaByteWriter object as a byte stream. The parse method takes a SigmaByteReader object as input, reads a byte stream from the SigmaByteReader object, and returns a ModQ object.\n\nThe ModQSerializer object also defines an opDesc method that returns the ModQ object's operation description. This method is used to identify the ModQ object's operation when it is serialized and deserialized.\n\nThis serializer is an important component of the Sigmastate project, as it allows ModQ objects to be transmitted and stored in a compact and efficient manner. It can be used in conjunction with other serializers in the project to serialize and deserialize complex data structures. For example, the serializer can be used to serialize and deserialize transactions in the Sigmastate blockchain. \n\nExample usage:\n\n```\nval modQ = ModQ(1234567890)\nval writer = new SigmaByteWriter()\nModQSerializer.serialize(modQ, writer)\nval bytes = writer.toBytes()\n\nval reader = new SigmaByteReader(bytes)\nval parsedModQ = ModQSerializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n This code defines a serializer for the ModQ type in the Sigmastate library, which is used to represent modular arithmetic operations.\n\n2. What is the expected input and output of the `serialize` and `parse` methods?\n The `serialize` method takes a ModQ object and a SigmaByteWriter and writes the object's input value to the writer. The `parse` method takes a SigmaByteReader and returns a ModQ object constructed from the reader's input.\n\n3. Why is there a TODO comment in the code?\n The TODO comment indicates that the code needs to be covered with tests before the next major version release of the library (v6.0)." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.json new file mode 100644 index 0000000000..ae0115e507 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "OneArgumentOperationSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for a specific type of operation in the SigmaState project. SigmaState is a blockchain protocol that enables the creation of smart contracts with advanced privacy features. The OneArgumentOperationSerializer is a class that serializes and deserializes OneArgumentOperation objects, which are operations that take a single input value and produce a result of a specific type.\n\nThe OneArgumentOperationSerializer takes two parameters: an instance of the OneArgumentOperationCompanion class, which provides information about the operation being serialized, and a constructor function that creates a new SValue object from a Value object of a specific type. The serializer extends the ValueSerializer class, which provides methods for serializing and deserializing values.\n\nThe serialize method takes a OneArgumentOperation object and a SigmaByteWriter object as input. It then uses the putValue method of the SigmaByteWriter class to write the input value of the operation to the output stream. The objInfo parameter is used to provide information about the type of the input value.\n\nThe parse method takes a SigmaByteReader object as input and returns an SValue object. It reads the input value from the input stream using the getValue method of the SigmaByteReader class and then constructs a new SValue object using the constructor function provided in the constructor.\n\nOverall, the OneArgumentOperationSerializer is an important component of the SigmaState project, as it enables the serialization and deserialization of OneArgumentOperation objects, which are used extensively in the creation of smart contracts. The serializer can be used in conjunction with other components of the SigmaState project to create and execute smart contracts with advanced privacy features.", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a serializer for a OneArgumentOperation in the Sigmastate serialization library, which is used to serialize and deserialize values in the Sigmastate language.\n\n2. What is the significance of the type parameter T and how is it used in this code?\n The type parameter T represents the type of the input value for the OneArgumentOperation, and it is used to ensure that the input value is of the correct type when serializing and deserializing.\n\n3. How does this code handle errors or invalid input values?\n This code does not explicitly handle errors or invalid input values, so it is up to the caller to ensure that the input value is valid and of the correct type." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.json new file mode 100644 index 0000000000..1a8b73eb1d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.json @@ -0,0 +1,7 @@ +{ + "fileName": "OpCodes.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.scala", + "summary": "The code provided is a set of traits and objects that define the encoding of types and values for serialization in the Sigmastate project. The purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. \n\nThe `TypeCodes` trait defines the encoding of types for serialization. It includes two constants, `FirstDataType` and `LastDataType`, which define the range of byte values that represent data types. The `FirstFuncType` and `LastFuncType` constants define the range of byte values that represent functional types. \n\nThe `ValueCodes` trait extends `TypeCodes` and defines the encoding of values for serialization. It includes a constant `ConstantCode` that represents a constant value and a `LastConstantCode` constant that represents the last constant code. \n\nThe `OpCodes` object extends `ValueCodes` and defines the set of all possible IR graph nodes that can be used in the ErgoTree. It includes a set of constants that represent different operations, such as arithmetic operations, environment codes, and cryptographic operations. Each constant is assigned a unique byte value that falls within the range of `LastConstantCode` and `255`. \n\nThe purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. It is used in the larger Sigmastate project to enable the serialization and deserialization of data and values in a way that is efficient and easy to use. \n\nExample usage of this code might include encoding and decoding values in a smart contract or other application that uses the Sigmastate protocol. For example, to encode a constant value, one might use the `ConstantCode` constant and then decode an instance of `SType` and then decode data using `DataSerializer`. \n\nOverall, this code provides an important foundation for the Sigmastate project, enabling efficient and effective serialization and deserialization of data and values.", + "questions": "1. What is the purpose of the `TypeCodes` trait and what are the values of `FirstDataType` and `LastDataType`?\n \n The `TypeCodes` trait defines the encoding of types for serialization. `FirstDataType` and `LastDataType` represent the range of byte values that are used to recognize all data types.\n\n2. What is the purpose of the `OpCodes` object and how are op codes represented?\n \n The `OpCodes` object defines the set of all possible IR graph nodes that can appear in ErgoTree. Op codes are represented as byte-sized codes and stored as a single byte. Extended codes are represented as a Short and serialized using VLQ.\n\n3. What is the purpose of the `ValueCodes` trait and what is the significance of `ConstantCode` and `LastConstantCode`?\n \n The `ValueCodes` trait defines the encoding of values for serialization. `ConstantCode` represents the op code used to encode constant values, and `LastConstantCode` represents the last constant code, which is used to represent generic function types. This allows for optimized encoding of constant values to save space in serialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.json new file mode 100644 index 0000000000..3a76567a07 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "OptionGetOrElseSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.scala", + "summary": "The code above is a part of the Sigmastate serialization package and is responsible for serializing and deserializing the OptionGetOrElse operation. The OptionGetOrElse operation is used in the Sigmastate language to retrieve a value from an optional input, and if the input is empty, return a default value instead. \n\nThe OptionGetOrElseSerializer class is a custom serializer for the OptionGetOrElse operation. It takes a constructor function as a parameter, which is used to create a new OptionGetOrElse object during deserialization. The class extends the ValueSerializer class, which is a generic serializer for all Sigmastate values. \n\nDuring serialization, the serialize method takes an OptionGetOrElse object and a SigmaByteWriter object as input. It then writes the input and default values of the OptionGetOrElse object to the SigmaByteWriter object using the putValue method. The putValue method is a generic method that can write any Sigmastate value to the SigmaByteWriter object. \n\nDuring deserialization, the parse method reads the input and default values from a SigmaByteReader object and passes them to the constructor function to create a new OptionGetOrElse object. The getValue method of the SigmaByteReader object is used to read Sigmastate values from the byte stream. \n\nOverall, the OptionGetOrElseSerializer class is an important part of the Sigmastate serialization package and is used to serialize and deserialize the OptionGetOrElse operation. It provides a custom serialization format for the operation, which is optimized for size and efficiency. Developers working with the Sigmastate language can use this class to serialize and deserialize OptionGetOrElse objects as needed. \n\nExample usage:\n\n```\nval input: Value[SOption[SType]] = SOption[Int](Some(5))\nval default: Value[SType] = IntConstant(0)\nval op: OptionGetOrElse[SType] = OptionGetOrElse(input, default)\nval serializer: OptionGetOrElseSerializer = OptionGetOrElseSerializer(op.cons)\nval writer: SigmaByteWriter = new SigmaByteWriter()\nserializer.serialize(op, writer)\nval bytes: Array[Byte] = writer.toBytes\n\n// Deserialize bytes back to OptionGetOrElse object\nval reader: SigmaByteReader = SigmaByteReader(bytes)\nval deserializedOp: OptionGetOrElse[SType] = serializer.parse(reader).asInstanceOf[OptionGetOrElse[SType]]\n```", + "questions": "1. What is the purpose of the `OptionGetOrElse` class and how is it used in this code?\n - The `OptionGetOrElse` class is used to get the value of an `SOption` type or return a default value if it is empty. This code provides a serializer for the `OptionGetOrElse` class.\n2. What is the role of the `ValueSerializer` trait and how does it relate to this code?\n - The `ValueSerializer` trait is used to serialize and deserialize values of a specific type. In this code, it is used to serialize and deserialize values of the `OptionGetOrElse` class.\n3. What is the purpose of the `opDesc` method and how is it used in this code?\n - The `opDesc` method returns a description of the operation that the serializer is used for. In this code, it returns the description of the `OptionGetOrElse` operation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.json new file mode 100644 index 0000000000..d17a008339 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "PropertyCallSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.scala", + "summary": "The `PropertyCallSerializer` class is responsible for serializing and deserializing `PropertyCall` objects in the `sigmastate` package. A `PropertyCall` is a type of `MethodCall` that represents a call to a property of an object. \n\nThe `PropertyCallSerializer` class extends the `ValueSerializer` class and overrides its methods to provide serialization and deserialization functionality for `PropertyCall` objects. The `serialize` method takes a `MethodCall` object and a `SigmaByteWriter` object as input and writes the serialized data to the `SigmaByteWriter`. The `parse` method takes a `SigmaByteReader` object as input and reads the serialized data from it to create a `PropertyCall` object.\n\nThe `PropertyCallSerializer` class has a constructor that takes a function as input. This function is used to create a `Value` object from the deserialized data. The `cons` function takes four arguments: a `Value` object representing the receiver object of the property call, an `SMethod` object representing the method being called, a sequence of `Value` objects representing the arguments to the method call, and an `STypeSubst` object representing the type substitutions for the method call.\n\nThe `PropertyCallSerializer` class also defines three `DataInfo` objects that provide information about the serialized data. The `typeCodeInfo` object represents the type of the method being called, the `methodCodeInfo` object represents the code of the property being called, and the `objInfo` object represents the receiver object of the property call.\n\nThe `PropertyCallSerializer` class is used in the larger project to serialize and deserialize `PropertyCall` objects. For example, if the project needs to store `PropertyCall` objects in a database or send them over a network, the `PropertyCallSerializer` class can be used to serialize the objects into a byte stream and deserialize them back into `PropertyCall` objects. \n\nHere is an example of how the `PropertyCallSerializer` class can be used to serialize and deserialize a `PropertyCall` object:\n\n```\nval propertyCall = PropertyCall(receiverObject, method, arguments)\nval serializer = PropertyCallSerializer(consFunction)\nval writer = new SigmaByteWriter()\nserializer.serialize(propertyCall, writer)\nval bytes = writer.toBytes()\n\n// Deserialize the bytes back into a PropertyCall object\nval reader = new SigmaByteReader(bytes)\nval deserializedPropertyCall = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code file?\n- This code file contains a serializer for a property call in the Sigma state language.\n\n2. What is the significance of the `getComplexity` method?\n- The `getComplexity` method returns the complexity of the property call, which is used in the `parse` method to add complexity to the `SigmaByteReader`.\n\n3. What is the `cons` parameter in the `PropertyCallSerializer` case class?\n- The `cons` parameter is a function that constructs a `Value[SType]` object from a receiver object, a specialized method, a sequence of values, and a substitution." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.json new file mode 100644 index 0000000000..4bb4cd14ff --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProveDlogSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.scala", + "summary": "The code provided is a part of the Sigmastate serialization module. This module is responsible for serializing and deserializing various types of objects used in the Sigmastate language. The code defines two serializer classes, ProveDlogSerializer and CreateProveDlogSerializer, which are used to serialize and deserialize objects of type ProveDlog and CreateProveDlog, respectively.\n\nProveDlog is a cryptographic primitive used in the Sigmastate language to represent a discrete logarithm proof of knowledge. It is implemented using elliptic curve cryptography and is used to prove that a given value is a valid public key. The ProveDlogSerializer class takes a constructor argument of type EcPointType => ProveDlog, which is used to create a new instance of ProveDlog. The serialize method of this class serializes the value of the ProveDlog object using the GroupElementSerializer class, which is responsible for serializing and deserializing elliptic curve points. The parse method of this class deserializes the value of the ProveDlog object using the GroupElementSerializer class and returns a new instance of ProveDlog using the constructor argument.\n\nCreateProveDlog is an operation in the Sigmastate language that creates a ProveDlog object from a given SGroupElement value. The CreateProveDlogSerializer class takes a constructor argument of type Value[SGroupElement.type] => SigmaPropValue, which is used to create a new instance of SigmaPropValue from a given SGroupElement value. The serialize method of this class serializes the value of the CreateProveDlog object using the SigmaByteWriter class, which is responsible for writing data to a byte stream. The parse method of this class deserializes the value of the CreateProveDlog object using the SigmaByteReader class, which is responsible for reading data from a byte stream, and returns a new instance of SigmaPropValue using the constructor argument.\n\nOverall, these serializer classes are used to serialize and deserialize ProveDlog and CreateProveDlog objects in the Sigmastate language. They are an important part of the Sigmastate serialization module and are used extensively throughout the project. Below is an example of how the CreateProveDlogSerializer class can be used to serialize a CreateProveDlog object:\n\n```\nval value = SGroupElement.random()\nval createProveDlog = CreateProveDlog(value)\nval serializer = CreateProveDlogSerializer((v: Value[SGroupElement.type]) => SigmaDsl.SigmaProp(v))\nval bytes = SigmaSerializer.startWriter().putValue(createProveDlog, serializer).toBytes\n```", + "questions": "1. What is the purpose of the `ProveDlogSerializer` class?\n \n The `ProveDlogSerializer` class is responsible for serializing and deserializing `ProveDlog` objects, which are used in the DLogProtocol for proving knowledge of discrete logarithms.\n\n2. What is the purpose of the `CreateProveDlogSerializer` class?\n \n The `CreateProveDlogSerializer` class is responsible for serializing and deserializing `CreateProveDlog` objects, which are used to create a `SigmaPropValue` representing a public key that can be used in a Sigma protocol.\n\n3. What is the relationship between `ProveDlogSerializer` and `CreateProveDlogSerializer`?\n \n `ProveDlogSerializer` is used by `CreateProveDlogSerializer` to serialize and deserialize the `ProveDlog` object that is used as an argument to `CreateProveDlog`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.json new file mode 100644 index 0000000000..6790c62092 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SelectFieldSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the SelectField operation in the SigmaState project. The SelectField operation is used to select a specific field from a tuple. The purpose of this serializer is to convert a SelectField object into a byte stream that can be transmitted over a network or stored in a file. \n\nThe code imports several classes and objects from the SigmaState project, including SelectFieldInfo, Value, SValue, STuple, SType, and SigmaByteReader/SigmaByteWriter. It also defines a case class called SelectFieldSerializer that extends the ValueSerializer trait for SelectField objects. The constructor for SelectFieldSerializer takes a function that creates a new Value object from a tuple and a byte representing the index of the selected field. \n\nThe SelectFieldSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes a SelectField object and a SigmaByteWriter object and writes the input value and field index to the writer using the putValue and put methods, respectively. The parse method takes a SigmaByteReader object and reads the input value and field index from the reader. It then calls the constructor function to create a new Value object from the tuple and field index. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize SelectField objects for transmission over a network or storage in a file. For example, if a user wants to select a specific field from a tuple and send it to another node in the network, they can use the SelectField operation and then serialize the resulting SelectField object using this serializer. The resulting byte stream can then be transmitted over the network or stored in a file. On the receiving end, the byte stream can be deserialized using this serializer to recreate the original SelectField object.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n- This code defines a serializer for the SelectField operation in the Sigma state language, which allows for selecting a field from a tuple. It solves the problem of serializing and deserializing SelectField objects for storage or transmission.\n\n2. What other operations or values does this code depend on?\n- This code depends on the SelectField operation, as well as the STuple and SType types from the sigmastate package. It also uses the SigmaByteReader and SigmaByteWriter classes from the sigmastate.utils package.\n\n3. How can this code be extended or modified for different use cases?\n- This code can be extended or modified by creating a new ValueSerializer for a different operation or value type, or by modifying the existing SelectFieldSerializer to handle additional cases or custom serialization logic. The cons function can also be replaced with a different function to construct the resulting Value object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.json new file mode 100644 index 0000000000..f6429c6bd2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaPropBytesSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.scala", + "summary": "The code above is a part of the sigmastate.serialization package and contains an object called SigmaPropBytesSerializer. This object is responsible for serializing and deserializing SigmaPropBytes objects, which are used in the larger project to represent a cryptographic proof of ownership of a certain asset.\n\nThe SigmaPropBytesSerializer object extends the ValueSerializer trait, which provides methods for serializing and deserializing values. It also imports the SigmaPropBytesInfo object from the sigmastate.Operations package, which contains information about the SigmaPropBytes operation.\n\nThe opDesc method in the SigmaPropBytesSerializer object returns the SigmaPropBytes operation description, which is used to identify the operation during serialization and deserialization.\n\nThe thisInfo field in the SigmaPropBytesSerializer object is a DataInfo object that contains information about the SigmaPropBytes object being serialized or deserialized.\n\nThe serialize method in the SigmaPropBytesSerializer object takes a SigmaPropBytes object and a SigmaByteWriter object as input and writes the serialized form of the SigmaPropBytes object to the SigmaByteWriter object. It does this by calling the putValue method of the SigmaByteWriter object and passing in the input of the SigmaPropBytes object and the thisInfo field.\n\nThe parse method in the SigmaPropBytesSerializer object takes a SigmaByteReader object as input and reads the serialized form of a SigmaPropBytes object from the SigmaByteReader object. It then creates a new SigmaPropBytes object with the parsed input and returns it.\n\nOverall, the SigmaPropBytesSerializer object is an important part of the larger project as it provides a way to serialize and deserialize SigmaPropBytes objects, which are used to represent cryptographic proofs of ownership. This object can be used by other parts of the project to serialize and deserialize SigmaPropBytes objects as needed.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code is a serializer for the `SigmaPropBytes` class, which is used to represent Sigma-protocols in the SigmaState language. It provides methods for serializing and parsing `SigmaPropBytes` objects using a `SigmaByteWriter` and `SigmaByteReader`, respectively.\n\n2. What other classes or packages does this code depend on?\n - This code depends on several other classes and packages from the `sigmastate` and `sigmastate.utxo` packages, including `SValue`, `SType`, `Values`, `Terms`, `SigmaByteWriter`, `SigmaByteReader`, and `SigmaPropBytesInfo`.\n\n3. Are there any potential issues or limitations with this code?\n - One potential issue with this code is that it assumes that the input `SigmaPropBytes` object has a non-null `input` field, which could cause a `NullPointerException` if this assumption is not met. Additionally, it is unclear from this code whether the `DataInfo` object used in the `serialize` method is properly initialized and configured." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.json new file mode 100644 index 0000000000..ceb4205592 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaPropIsProvenSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.scala", + "summary": "This code is a part of the Sigmastate project and is responsible for serializing and deserializing instances of the SigmaPropIsProven class. The SigmaPropIsProven class is used to represent a Sigma-protocol proof that a given SigmaProp (a cryptographic primitive used in the Sigmastate language) has been proven. \n\nThe code defines an object called SigmaPropIsProvenSerializer, which extends the ValueSerializer trait for the SigmaPropIsProven class. The ValueSerializer trait is used to define serialization and deserialization methods for a given class. \n\nThe opDesc method returns the SigmaPropIsProven object, which is used to identify the class during serialization and deserialization. The serialize method takes an instance of SigmaPropIsProven and a SigmaByteWriter object and writes the input value of the SigmaPropIsProven object to the SigmaByteWriter. The parse method takes a SigmaByteReader object and reads the input value from it, then creates a new instance of SigmaPropIsProven with the input value and returns it.\n\nThis code is used in the larger Sigmastate project to enable serialization and deserialization of SigmaPropIsProven objects. This is important because SigmaPropIsProven objects are used in the Sigmastate language to represent proofs of ownership of assets in the UTXO (Unspent Transaction Output) model. By enabling serialization and deserialization of these objects, the Sigmastate project can more easily transmit and store proofs of ownership in a secure and efficient manner.\n\nExample usage of this code might look like:\n\n```\nval sigmaProp = // create a SigmaProp object\nval isProven = SigmaPropIsProven(sigmaProp) // create a SigmaPropIsProven object with the SigmaProp\nval writer = new SigmaByteWriter()\nSigmaPropIsProvenSerializer.serialize(isProven, writer) // serialize the SigmaPropIsProven object\nval bytes = writer.toBytes // get the serialized bytes\nval reader = SigmaByteReader(bytes)\nval parsed = SigmaPropIsProvenSerializer.parse(reader) // deserialize the bytes into a new SigmaPropIsProven object\n```", + "questions": "1. What is the purpose of the `SigmaPropIsProven` class?\n - `SigmaPropIsProven` is a class that represents a boolean value indicating whether a given `SigmaProp` is proven or not.\n\n2. What is the `ValueSerializer` trait used for?\n - The `ValueSerializer` trait is used to define serialization and deserialization methods for a specific type of value.\n\n3. What is the `opDesc` method used for in the `SigmaPropIsProvenSerializer` object?\n - The `opDesc` method is used to return the `SigmaPropIsProven` object, which represents the operation being serialized/deserialized." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.json new file mode 100644 index 0000000000..c12555d4c6 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.scala", + "summary": "The code provided is a collection of helper functions and abstract classes used for serialization and deserialization of objects in the Sigma protocol. The Sigma protocol is a privacy-preserving smart contract platform that allows for the creation of complex contracts with advanced privacy features.\n\nThe `SigmaSerializer` object contains helper functions for reading and writing bytes to and from a `SigmaByteReader` and `SigmaByteWriter`, respectively. These functions are used in the serialization and deserialization of objects in the Sigma protocol. The `startReader` function takes an array of bytes and an optional starting position and returns a `SigmaByteReader` object that can be used to read values from the byte array. The `startWriter` function returns a `SigmaByteWriter` object that can be used to write values to a byte array.\n\nThe `SigmaSerializer` abstract class is a base class for all Sigma serializers. It defines two abstract methods: `serialize` and `parse`. The `serialize` method takes an object of type `T` and a `SigmaByteWriter` object and writes the object to the writer. The `parse` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `SigmaSerializer` class also provides implementations for the `toBytes` and `fromBytes` methods, which use the `serialize` and `parse` methods to serialize and deserialize objects.\n\nThe `SigmaSerializerCompanion` trait is a companion object for Sigma serializers. It defines three abstract methods: `getSerializer`, `deserialize`, and `serialize`. The `getSerializer` method takes an `OpCode` and returns a Sigma serializer for that opcode. The `deserialize` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `serialize` method takes an object of type `TFamily` and a `SigmaByteWriter` object and writes the object to the writer.\n\nOverall, this code provides a framework for serialization and deserialization of objects in the Sigma protocol. It allows for the creation of custom serializers for different types of objects in the protocol, which can be used to read and write those objects to and from byte arrays. This functionality is essential for the proper functioning of the Sigma protocol, as it allows for the secure transfer of data between different nodes in the network.", + "questions": "1. What is the purpose of the `SigmaSerializer` object?\n \n The `SigmaSerializer` object provides helper functions for use in serializers, including functions for starting a reader or writer and defining constants.\n\n2. What is the purpose of the `SigmaSerializer` abstract class?\n \n The `SigmaSerializer` abstract class is a serializer for a specific type of object (`TFamily`) that provides methods for converting the object to and from bytes.\n\n3. What is the purpose of the `SigmaSerializerCompanion` trait?\n \n The `SigmaSerializerCompanion` trait defines methods for serializing and deserializing objects of type `TFamily`, as well as getting a serializer for a specific opcode." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.json new file mode 100644 index 0000000000..4bdf0bdde5 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SubstConstantsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.scala", + "summary": "The `SubstConstantsSerializer` object is responsible for serializing and deserializing instances of the `SubstConstants` class, which is used in the larger project to substitute constants in a Sigma protocol script. \n\nThe `SubstConstants` class takes three arguments: `scriptBytes`, `positions`, and `newValues`. `scriptBytes` is a byte array representing the original script, `positions` is an array of integers representing the positions of the constants to be substituted, and `newValues` is an array of new values to replace the constants at the specified positions. \n\nThe `SubstConstantsSerializer` object provides two methods: `serialize` and `parse`. The `serialize` method takes an instance of `SubstConstants` and a `SigmaByteWriter` object, and writes the values of `scriptBytes`, `positions`, and `newValues` to the writer using the `putValue` method. The `parse` method takes a `SigmaByteReader` object and reads the values of `scriptBytes`, `positions`, and `newValues` from the reader using the `getValue` method, and returns a new instance of `SubstConstants` with these values. \n\nThis object is used in the larger project to enable the substitution of constants in a Sigma protocol script. For example, if a script contains the constant value `5` at position `2`, and we want to replace it with the value `10`, we can create a new instance of `SubstConstants` with `scriptBytes` set to the original script, `positions` set to `[2]`, and `newValues` set to `[10]`. We can then serialize this instance using the `SubstConstantsSerializer` object and send it over the network. On the receiving end, we can deserialize the byte array using the `SubstConstantsSerializer` object and use the resulting `SubstConstants` instance to substitute the constants in the original script.", + "questions": "1. What is the purpose of the `SubstConstants` class and how is it used in the project?\n - The `SubstConstants` class is used to substitute constant values in a script with new values. This code provides serialization and parsing methods for `SubstConstants` objects.\n2. What is the role of the `ValueSerializer` trait and how does it relate to `SubstConstantsSerializer`?\n - The `ValueSerializer` trait is a serialization interface for values in the Sigma protocol. `SubstConstantsSerializer` is an implementation of this trait specifically for `SubstConstants` objects.\n3. What is the format of the serialized `SubstConstants` object and how is it parsed?\n - The `SubstConstants` object is serialized by writing its `scriptBytes`, `positions`, and `newValues` fields to a `SigmaByteWriter`. It is parsed by reading these fields from a `SigmaByteReader` and constructing a new `SubstConstants` object with them." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.json new file mode 100644 index 0000000000..116ceac18d --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "TaggedVariableSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing TaggedVariable objects. The TaggedVariableSerializer class is a subclass of ValueSerializer and takes a constructor function as a parameter. This constructor function is used to create a new TaggedVariable object during deserialization.\n\nThe TaggedVariable class is a subclass of Value and represents a variable with a unique identifier and a type. The purpose of this serializer is to convert TaggedVariable objects into a byte stream that can be transmitted over a network or stored in a file. The serialized data can then be deserialized back into TaggedVariable objects.\n\nThe serialize method takes a TaggedVariable object and a SigmaByteWriter object as parameters. It writes the variable identifier and type to the SigmaByteWriter object using the put method. The parse method takes a SigmaByteReader object as a parameter and reads the variable identifier and type from it. It then uses the constructor function to create a new TaggedVariable object with the read identifier and type.\n\nThis serializer can be used in the larger Sigmastate project to serialize and deserialize TaggedVariable objects. For example, if the project needs to transmit TaggedVariable objects over a network, it can use this serializer to convert the objects into a byte stream that can be transmitted. On the receiving end, the byte stream can be deserialized back into TaggedVariable objects using this serializer.", + "questions": "1. What is the purpose of the `TaggedVariableSerializer` class?\n- The `TaggedVariableSerializer` class is a serializer for `TaggedVariable` objects, which are variables with an associated identifier and type.\n\n2. What is the `opDesc` method used for?\n- The `opDesc` method is used to specify the operation description for the `TaggedVariable` object.\n\n3. What is the `parse` method doing?\n- The `parse` method is reading a `TaggedVariable` object from a byte stream using a `SigmaByteReader`, and constructing a new `Value` object using the `cons` constructor function." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.json new file mode 100644 index 0000000000..867d763cd8 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "TupleSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.scala", + "summary": "The `TupleSerializer` class is a part of the `sigmastate.serialization` package and is responsible for serializing and deserializing tuples in the Sigma protocol. A tuple is a collection of values of different types that can be used to represent complex data structures. The `TupleSerializer` takes a sequence of values and returns a serialized tuple that can be transmitted over the network or stored in a database.\n\nThe `TupleSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all values in the Sigma protocol. It overrides the `serialize` and `parse` methods to provide custom serialization and deserialization logic for tuples. The `cons` parameter is a function that takes a sequence of values and returns a tuple. This function is used to construct a tuple from the deserialized values.\n\nThe `serialize` method takes a tuple object and a `SigmaByteWriter` object and writes the serialized tuple to the writer. It first writes the number of items in the tuple using the `putUByte` method of the writer. It then iterates over each item in the tuple and writes it to the writer using the `putValue` method of the writer.\n\nThe `parse` method takes a `SigmaByteReader` object and reads the serialized tuple from the reader. It first reads the number of items in the tuple using the `getByte` method of the reader. It then creates a new array of values with the given size using the `safeNewArray` method. It then iterates over each item in the tuple and reads it from the reader using the `getValue` method of the reader. Finally, it constructs a tuple from the deserialized values using the `cons` function.\n\nOverall, the `TupleSerializer` class provides a way to serialize and deserialize tuples in the Sigma protocol. It can be used in the larger project to transmit and store complex data structures that are represented as tuples. Here is an example of how to use the `TupleSerializer` class to serialize and deserialize a tuple:\n\n```\nval tuple = Tuple(IntConstant(1), BooleanConstant(true), ByteArrayConstant(Array[Byte](1, 2, 3)))\nval writer = new SigmaByteWriter()\nTupleSerializer.serialize(tuple, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = TupleSerializer.parse(reader).asInstanceOf[Tuple]\n```", + "questions": "1. What is the purpose of the `TupleSerializer` class?\n- The `TupleSerializer` class is a custom serializer for serializing and deserializing `Tuple` values in the `sigmastate` library.\n\n2. What is the `cons` parameter in the `TupleSerializer` constructor?\n- The `cons` parameter is a function that takes a sequence of `Value[SType]` objects and returns a `Value[SType]` object. It is used to construct a new `Tuple` value from the deserialized items.\n\n3. What is the purpose of the `numItemsInfo` and `itemInfo` variables?\n- The `numItemsInfo` variable is a `DataInfo` object that provides metadata about the number of items in the tuple during serialization. The `itemInfo` variable is a `DataInfo` object that provides metadata about each item in the tuple during serialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.json new file mode 100644 index 0000000000..fbb8f7a653 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "TwoArgumentsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for two-argument operations in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of blockchain technology. The purpose of this code is to provide a way to serialize and deserialize two-argument operations in the SigmaState language.\n\nThe code defines a case class called TwoArgumentsSerializer, which takes three type parameters: LIV, RIV, and OV. LIV and RIV represent the types of the left and right arguments of the operation, respectively, while OV represents the type of the output value of the operation. The case class extends ValueSerializer[OV], which is a trait that defines methods for serializing and deserializing values of type OV.\n\nThe TwoArgumentsSerializer class has a constructor that takes two arguments: an instance of a TwoArgumentOperationCompanion, which provides information about the operation being serialized, and a constructor function that takes two values of type LIV and RIV and returns a value of type OV. The class also has two fields, leftInfo and rightInfo, which are instances of the DataInfo class and provide information about the types of the left and right arguments of the operation.\n\nThe TwoArgumentsSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes an object of type OV and a SigmaByteWriter and writes the serialized representation of the object to the writer. The method first casts the object to a TwoArgumentsOperation[LIV, RIV, LIV], which is a subtype of OV that represents a two-argument operation. It then writes the serialized representation of the left and right arguments of the operation to the writer using the putValue method of the SigmaByteWriter class.\n\nThe parse method takes a SigmaByteReader and reads the serialized representation of a value of type OV from the reader. The method first reads the serialized representation of the left and right arguments of the operation using the getValue method of the SigmaByteReader class. It then calls the constructor function with the deserialized left and right arguments to create a new value of type OV.\n\nOverall, this code provides a way to serialize and deserialize two-argument operations in the SigmaState language, which is an important part of the larger project of building secure and privacy-preserving smart contracts on top of blockchain technology. Here is an example of how this code might be used in the larger project:\n\n```\nval op = Plus(LONG, LONG) // create a two-argument operation that adds two long values\nval serializer = TwoArgumentsSerializer(op, (left, right) => left + right) // create a serializer for the operation\nval writer = new SigmaByteWriter() // create a writer for the serialized representation\nserializer.serialize(op, writer) // serialize the operation using the serializer and writer\nval reader = new SigmaByteReader(writer.toBytes) // create a reader for the serialized representation\nval deserializedOp = serializer.parse(reader) // deserialize the operation using the serializer and reader\nassert(deserializedOp == op) // check that the deserialized operation is equal to the original operation\n```", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for two-argument operations in the Sigmastate language. It allows for the serialization and deserialization of these operations for use in the project.\n\n2. What is the significance of the type parameters LIV, RIV, and OV?\n- LIV and RIV represent the left and right input types of the two-argument operation, while OV represents the output type. These type parameters are used to ensure type safety and correctness in the serialization process.\n\n3. How does the constructor parameter relate to the serialization process?\n- The constructor parameter is used to create a new instance of the two-argument operation from the deserialized input values. It is necessary for the deserialization process to be able to reconstruct the original operation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.json new file mode 100644 index 0000000000..f52151aef3 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "TypeSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.scala", + "summary": "The `TypeSerializer` object provides serialization and deserialization functionality for types in the `sigmastate` package. The purpose of this code is to enable efficient encoding and decoding of types in the Ergo platform. \n\nThe `TypeSerializer` object contains two main methods: `serialize` and `deserialize`. The `serialize` method takes an `SType` object and a `SigmaByteWriter` object as input, and writes the serialized form of the type to the writer. The `deserialize` method takes a `SigmaByteReader` object as input, and reads the serialized form of a type from the reader and returns the corresponding `SType` object.\n\nThe `TypeSerializer` object also defines a number of constants and helper methods that are used in the serialization and deserialization process. For example, the `embeddableIdToType` array maps integer codes to embeddable types, which are types that can be combined with a type constructor for optimized encoding. The `getEmbeddableType` method takes an integer code as input and returns the corresponding embeddable type.\n\nThe `serialize` method handles different types of `SType` objects in different ways. For example, if the input type is an `SEmbeddable` type, the method writes the type code to the writer. If the input type is an `SCollectionType`, the method writes the collection type code to the writer and recursively calls `serialize` on the element type. If the input type is an `STuple`, the method writes the tuple type code to the writer and recursively calls `serialize` on each element type.\n\nThe `deserialize` method reads the type code from the reader and uses it to determine the type of the serialized object. It then constructs and returns the corresponding `SType` object. The method handles different types of type codes in different ways, similar to the `serialize` method.\n\nOverall, the `TypeSerializer` object is an important component of the Ergo platform that enables efficient encoding and decoding of types. It is used extensively throughout the platform to serialize and deserialize types for storage and transmission.", + "questions": "1. What is the purpose of the `TypeSerializer` object?\n- The `TypeSerializer` object is responsible for serializing and deserializing types according to the specification in `TypeSerialization.md`.\n\n2. What types can be represented by a single byte in the `embeddableIdToType` array?\n- The `embeddableIdToType` array contains embeddable types such as `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SBigInt`, `SGroupElement`, and `SSigmaProp` that can be combined with a type constructor for optimized encoding.\n\n3. How are tuple types with more than 4 items serialized?\n- Tuple types with more than 4 items are serialized by calling the `serializeTuple` method, which writes the tuple type code, the number of items in the tuple, and then recursively serializes each item in the tuple." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.json new file mode 100644 index 0000000000..bc8ba68c25 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ValDefSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.scala", + "summary": "The ValDefSerializer class is responsible for serializing and deserializing ValDef objects, which represent variable definitions in the Sigma programming language. This class extends the ValueSerializer class and takes a ValueCompanion object as a parameter. \n\nThe serialize method takes a ValDef object and a SigmaByteWriter object as parameters. It first writes the id of the ValDef object to the writer. Then, if the opcode is FunDefCode, it writes the type arguments of the ValDef object to the writer. The type arguments are written as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method writes the right-hand side of the ValDef object to the writer.\n\nThe parse method takes a SigmaByteReader object as a parameter and returns a Value object of type SType. It first reads the id of the ValDef object from the reader. Then, if the opcode is FunDefCode, it reads the type arguments of the ValDef object from the reader. The type arguments are read as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method reads the right-hand side of the ValDef object from the reader and creates a new ValDef object with the id, type arguments, and right-hand side.\n\nOverall, the ValDefSerializer class is an important component of the serialization process for ValDef objects in the Sigma programming language. It allows for the efficient transfer of ValDef objects between different parts of the larger project, such as between nodes in a distributed system. Here is an example of how the ValDefSerializer class might be used in the larger project:\n\n```\nval myValDef = ValDef(1, Seq(STypeInt), IntConstant(42))\nval serializer = ValDefSerializer(FunDef)\nval writer = new SigmaByteWriter()\nserializer.serialize(myValDef, writer)\nval bytes = writer.toBytes\n\n// ... transfer bytes to another part of the project ...\n\nval reader = new SigmaByteReader(bytes)\nval deserialized = serializer.parse(reader)\nassert(deserialized == myValDef)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for ValDef objects in the Sigmastate library, which are used to represent values in the Sigma protocol. The serializer is responsible for converting ValDef objects to and from bytes for storage and transmission.\n\n2. What other classes or functions does this code interact with?\n \n This code imports several classes and functions from the Sigmastate library, including ValueCompanion, ValueSerializer, SigmaByteReader, SigmaByteWriter, ValueSerializer, and safeNewArray. It also references several OpCodes defined in the same package.\n\n3. What is the expected format of the input and output data for this code?\n \n This code expects to receive ValDef objects as input, which contain an ID, type arguments, and a right-hand side value. It outputs bytes that represent the serialized ValDef object, and can also parse bytes back into a ValDef object. The format of the input and output data is specified by the SigmaByteReader and SigmaByteWriter classes." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.json new file mode 100644 index 0000000000..68e843006f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.json @@ -0,0 +1,7 @@ +{ + "fileName": "ValDefTypeStore.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.scala", + "summary": "The ValDefTypeStore class is a data structure used to store and retrieve SType objects. SType is a type hierarchy used in the Sigma protocol, which is a cryptographic protocol for secure transactions. \n\nThe ValDefTypeStore class uses a mutable Map to store SType objects, with the keys being integers and the values being SType objects. The apply method is used to retrieve an SType object from the store by its corresponding integer key. The update method is used to add or update an SType object in the store, with the integer key being provided as the first argument and the SType object being provided as the second argument.\n\nThis class may be used in the larger project to store and retrieve SType objects for use in the Sigma protocol. For example, if a new SType object is created during the execution of the protocol, it can be added to the ValDefTypeStore using the update method. Later on, if the SType object is needed again, it can be retrieved from the ValDefTypeStore using the apply method.\n\nHere is an example of how the ValDefTypeStore class might be used:\n\n```\nval store = new ValDefTypeStore()\nval tpe = SType.SInt\nstore.update(1, tpe)\nval retrievedTpe = store(1)\nassert(retrievedTpe == tpe)\n```\n\nIn this example, a new ValDefTypeStore object is created and an SInt object is added to the store with an integer key of 1 using the update method. The SInt object is then retrieved from the store using the apply method and stored in the retrievedTpe variable. Finally, an assertion is made to ensure that the retrieved SInt object is equal to the original SInt object.", + "questions": "1. What is the purpose of the ValDefTypeStore class?\n - The ValDefTypeStore class is used to store and retrieve SType objects based on their associated integer IDs.\n\n2. How are SType objects added to the store?\n - SType objects are added to the store by calling the update method with an integer ID and the SType object to be stored.\n\n3. Is the store thread-safe?\n - It is not clear from the code whether the store is thread-safe or not. Additional information or analysis would be needed to determine this." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.json new file mode 100644 index 0000000000..131b358741 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ValUseSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing ValUse objects. ValUse is a class that represents the use of a previously defined value in a Sigma protocol script. The purpose of this code is to provide a way to convert ValUse objects to and from bytes so that they can be transmitted over a network or stored in a database.\n\nThe ValUseSerializer class is a subclass of ValueSerializer, which is a generic serializer for all types of Sigma protocol values. The constructor of ValUseSerializer takes a function that creates a new instance of a Value object given an ID and a type. This function is used to deserialize ValUse objects.\n\nThe serialize method of ValUseSerializer takes a ValUse object and a SigmaByteWriter object and writes the ID of the referenced value to the writer. The parse method of ValUseSerializer takes a SigmaByteReader object and reads the ID of the referenced value from the reader. It then looks up the type of the referenced value in a type store and uses the constructor function to create a new ValUse object.\n\nThis code can be used in the larger Sigmastate project to serialize and deserialize ValUse objects in various contexts. For example, it can be used to transmit ValUse objects between nodes in a distributed Sigma protocol network or to store them in a database for later use. Here is an example of how this code can be used to serialize and deserialize a ValUse object:\n\n```\nval valUse = ValUse(42)\nval serializer = ValUseSerializer((id, tpe) => ValUse(id))\nval writer = new SigmaByteWriter()\nserializer.serialize(valUse, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval deserializedValUse = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for a type called `ValUse[SType]` which is used to serialize and deserialize instances of this type.\n\n2. What is the significance of the `cons` parameter in the `ValUseSerializer` case class?\n - The `cons` parameter is a function that takes an integer and an `SType` and returns a `Value[SType]`. It is used to construct instances of `ValUse[SType]` during deserialization.\n\n3. What is the role of the `opDesc` method in the `ValUseSerializer` class?\n - The `opDesc` method returns the `ValUse` object, which is used to identify this serializer as the one to use for `ValUse` objects." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.json new file mode 100644 index 0000000000..4e952d6fea --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ValueSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.scala", + "summary": "The `ValueSerializer` is a part of the SigmaState project and is responsible for serializing and deserializing Sigma protocol values. It is an essential component for handling data serialization and deserialization in the Ergo platform, which is a blockchain-based platform that supports smart contracts.\n\nThe `ValueSerializer` class is an abstract class that extends the `SigmaSerializer` trait. It provides methods for serializing and deserializing values of type `Value[SType]`. The `ValueSerializer` object is a companion object that implements the `SigmaSerializerCompanion` trait and provides a collection of serializers for various types of values.\n\nThe `serializers` field is a `SparseArrayContainer` that holds a sequence of `ValueSerializer` instances for different types of values. These serializers are responsible for handling specific types of values, such as constants, tuples, relations, and various operations (e.g., arithmetic, bitwise, logical, etc.).\n\nThe `ValueSerializer` object also provides utility methods for handling optional values, cases, and loops during serialization and deserialization. These methods help in managing the complexity of the serialization process and make it easier to handle different types of values.\n\nThe `serialize` and `deserialize` methods are the main entry points for serialization and deserialization. The `serialize` method takes a `Value[SType]` and a `SigmaByteWriter` as input and writes the serialized value to the writer. The `deserialize` method takes a `SigmaByteReader` as input and reads the serialized value from the reader, returning a `Value[SType]`.\n\nHere's an example of how to use the `ValueSerializer`:\n\n```scala\nimport sigmastate.Values._\nimport sigmastate.serialization.ValueSerializer\n\nval value: Value[SType] = ... // some value\nval serialized: Array[Byte] = ValueSerializer.serialize(value)\nval deserialized: Value[SType] = ValueSerializer.deserialize(serialized)\n```\n\nIn summary, the `ValueSerializer` is a crucial component in the SigmaState project for handling the serialization and deserialization of Sigma protocol values. It provides a collection of serializers for various types of values and utility methods for managing the complexity of the serialization process.", + "questions": "1. **Question**: What is the purpose of the `ValueSerializer` class and its subclasses?\n **Answer**: The `ValueSerializer` class is an abstract class that provides serialization and deserialization functionality for `Value[SType]` objects. Its subclasses are responsible for implementing the specific serialization and deserialization logic for different types of `Value[SType]` objects.\n\n2. **Question**: How does the `ValueSerializer` handle the serialization of constants and placeholders?\n **Answer**: The `ValueSerializer` handles the serialization of constants and placeholders by using the `constantSerializer` and `constantPlaceholderSerializer` instances. When serializing a value, it checks if the value is a constant or a placeholder and uses the appropriate serializer to serialize it.\n\n3. **Question**: How does the `ValueSerializer` manage the complexity of the serialized objects?\n **Answer**: The `ValueSerializer` manages the complexity of the serialized objects by using the `getComplexity` method, which returns the complexity value for the corresponding operation code. The `complexity` value is then added to the `SigmaByteReader` or `SigmaByteWriter` to keep track of the total complexity during serialization and deserialization." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.json new file mode 100644 index 0000000000..88f3b54a98 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "AppendSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Append operation in the SigmaState project. The Append operation is used to concatenate two collections of the same type into a single collection. This serializer is responsible for converting an Append object into a byte stream that can be transmitted over a network or stored in a file.\n\nThe code imports several classes and objects from the SigmaState project, including AppendInfo, Value, SCollection, SType, and ValueSerializer. It also defines a case class called AppendSerializer that extends the ValueSerializer class and takes a constructor argument of type (Value[SCollection[SType]], Value[SCollection[SType]]) => Value[SCollection[SType]]. This constructor argument is a function that takes two collections of the same type and returns a new collection that is the concatenation of the two input collections.\n\nThe AppendSerializer class overrides two methods from the ValueSerializer class: opDesc and serialize. The opDesc method returns the Append object, which is the operation being serialized. The serialize method takes an Append object and a SigmaByteWriter object and writes the input and col2 collections to the byte stream using the putValue method of the SigmaByteWriter object.\n\nThe AppendSerializer class also defines a parse method that takes a SigmaByteReader object and returns a collection of the same type as the input and col2 collections. This method reads the input and col2 collections from the byte stream using the getValue method of the SigmaByteReader object and passes them to the constructor function defined in the AppendSerializer constructor.\n\nOverall, this serializer is an important component of the SigmaState project, as it allows Append objects to be transmitted and stored in a serialized format. It can be used in conjunction with other serializers and deserializers to enable the SigmaState system to communicate with other systems and store data in a variety of formats. An example of using this serializer might be in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for the `Append` operation in the `sigmastate.utxo` package. It allows for serialization and deserialization of `Append` objects to and from bytes.\n\n2. What is the `cons` parameter in the `AppendSerializer` case class and how is it used?\n- The `cons` parameter is a function that takes two `Value[SCollection[SType]]` objects and returns a new `Value[SCollection[SType]]` object. It is used in the `parse` method to construct a new `Value[SCollection[SType]]` object from the parsed input and col2 values.\n\n3. What is the purpose of the `opDesc` method in the `AppendSerializer` class?\n- The `opDesc` method returns the `Append` object, which is the operation that this serializer is designed to handle. It is used to ensure that the correct serializer is used for a given operation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.json new file mode 100644 index 0000000000..d703505bb3 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "AtLeastSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the AtLeast operation in the SigmaState project. The AtLeast operation is used to create a SigmaPropValue that represents a threshold signature scheme. It requires a minimum number of signatures from a collection of SigmaPropValues to be valid. \n\nThe AtLeastSerializer class takes a constructor that accepts a function that creates a SigmaPropValue from a bound value and a collection of SigmaPropValues. This function is used to deserialize the AtLeast operation from bytes. The class extends the ValueSerializer trait, which provides methods for serializing and deserializing values.\n\nThe serialize method takes an AtLeast object and a SigmaByteWriter and writes the bound and input values to the writer. The parse method takes a SigmaByteReader and reads the bound and input values from it. It then calls the constructor function to create a SigmaPropValue from the deserialized values.\n\nThis serializer is used in the larger SigmaState project to serialize and deserialize AtLeast operations. It allows AtLeast operations to be transmitted over the network or stored in a database. Here is an example of how the serializer can be used:\n\n```\nval atLeast = AtLeast(2, Seq(sigmaProp1, sigmaProp2, sigmaProp3))\nval serializer = AtLeastSerializer((bound, input) => AtLeast(bound, input))\nval bytes = serializer.toBytes(atLeast)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, an AtLeast object is created with a bound of 2 and a collection of three SigmaPropValues. The AtLeastSerializer is then used to serialize the object to bytes and deserialize it back to an AtLeast object. The constructor function passed to the serializer simply creates a new AtLeast object from the deserialized values.", + "questions": "1. What is the purpose of the AtLeastSerializer class?\n - The AtLeastSerializer class is a ValueSerializer for the AtLeast operation in the Sigma protocol, which serializes and deserializes AtLeast objects.\n\n2. What is the input format for the serialize method?\n - The serialize method takes an AtLeast object and a SigmaByteWriter as input.\n\n3. What is the output format for the parse method?\n - The parse method returns a SigmaPropValue object, which is constructed using the bound and input values obtained from the SigmaByteReader." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.json new file mode 100644 index 0000000000..47c29370de --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "BooleanTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for the `BooleanTransformer` class, which is used to transform a collection of values of a certain type `T` into a boolean value based on a given condition. \n\nThe `BooleanTransformerSerializer` class takes in a `BooleanTransformerCompanion` object and a function `f` that takes in a collection of values of type `T` and a function that returns a boolean value. It then extends the `ValueSerializer` class and provides implementations for the `serialize` and `parse` methods. \n\nThe `serialize` method takes in an instance of the `BooleanTransformer` class and a `SigmaByteWriter` object and writes the input and condition values of the transformer to the writer using the `putValue` method. \n\nThe `parse` method takes in a `SigmaByteReader` object and reads the input and condition values of the transformer from the reader using the `getValue` method. It then applies the `f` function to the input and condition values to obtain a boolean value. \n\nThis serializer can be used in the larger Sigmastate project to serialize and deserialize instances of the `BooleanTransformer` class, which can be used in various parts of the project to transform collections of values into boolean values based on a given condition. \n\nExample usage of this serializer could be as follows:\n\n```\nval transformer = BooleanTransformer(input, condition)\nval serializer = BooleanTransformerSerializer(BooleanTransformer, (input, condition) => transformer.f(input, condition))\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of the `BooleanTransformer` class and how is it used in the project?\n - The `BooleanTransformer` class is used in the project to represent a boolean expression that can be applied to a collection of values. It is serialized and deserialized using the `BooleanTransformerSerializer` class.\n2. What is the significance of the `opDesc` parameter in the `BooleanTransformerSerializer` constructor?\n - The `opDesc` parameter is a companion object for the `BooleanTransformer` class that provides information about the arguments required to construct a `BooleanTransformer` instance.\n3. How does the `parse` method in the `BooleanTransformerSerializer` class deserialize a `BooleanTransformer` instance?\n - The `parse` method reads the serialized input and condition values from a `SigmaByteReader` and applies the `f` function to create a new `BooleanTransformer` instance." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.json new file mode 100644 index 0000000000..bc3ad59b67 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ByIndexSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide serialization and deserialization functionality for the `ByIndex` operation in the Sigmastate language. \n\nThe `ByIndex` operation is used to retrieve an element from a collection by its index. The `ByIndexSerializer` class is responsible for serializing and deserializing instances of the `ByIndex` operation. It takes a constructor function as a parameter that is used to create a new instance of the `ByIndex` operation during deserialization.\n\nThe `ByIndexSerializer` class extends the `ValueSerializer` class, which is a base class for all value serializers in Sigmastate. It provides two methods for serialization and deserialization: `serialize` and `parse`. The `serialize` method takes an instance of the `ByIndex` operation and a `SigmaByteWriter` object and writes the serialized data to the writer. The `parse` method takes a `SigmaByteReader` object and returns a new instance of the `ByIndex` operation.\n\nThe `ByIndexSerializer` class also defines three `DataInfo` objects for the input, index, and default arguments of the `ByIndex` operation. These objects are used to provide additional information about the serialized data, such as its type and size.\n\nHere is an example of how the `ByIndexSerializer` class can be used to serialize and deserialize a `ByIndex` operation:\n\n```\nval input = SCollection(SInt)(Seq(1, 2, 3))\nval index = SInt(1)\nval default = None\nval byIndex = ByIndex(input, index, default)\n\nval serializer = ByIndexSerializer(ByIndex.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(byIndex, writer)\n\nval reader = new SigmaByteReader(writer.toBytes)\nval parsedByIndex = serializer.parse(reader)\n``` \n\nIn this example, we create a new instance of the `ByIndex` operation with an input collection of integers, an index of 1, and no default value. We then create a new instance of the `ByIndexSerializer` class and use it to serialize the `ByIndex` operation to a `SigmaByteWriter` object. Finally, we use the same serializer to deserialize the serialized data from a `SigmaByteReader` object and obtain a new instance of the `ByIndex` operation.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n- This code defines a serializer for the ByIndex operation in the Sigma state language, which allows for retrieving an element from a collection by its index. The serializer enables the operation to be serialized and deserialized for use in the Sigma protocol.\n\n2. What are the input and output types for the ByIndex operation?\n- The input type is a collection of some Sigma type (SCollection[SType]), and the output type is a single element of the same Sigma type (SType).\n\n3. What is the significance of the \"default\" argument in the ByIndexSerializer case class?\n- The \"default\" argument is an optional default value to return if the requested index is out of bounds for the input collection. If no default value is provided, an exception will be thrown instead." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.json new file mode 100644 index 0000000000..fd97b40101 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "DeserializeContextSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the `DeserializeContext` class in the `sigmastate.utxo` package. This class is used to deserialize a script context from a byte array. The `DeserializeContextSerializer` class takes a constructor function that creates a new instance of the `Value` class with the given type and ID. \n\nThe purpose of this serializer is to convert a `DeserializeContext` object into a byte array that can be transmitted over a network or stored in a database. The `serialize` method takes a `DeserializeContext` object and a `SigmaByteWriter` object, and writes the type and ID of the deserialized script to the writer. The `parse` method reads the type and ID from a `SigmaByteReader` object and returns a new instance of the `Value` class with the given type and ID.\n\nThis serializer is used in the larger project to enable the serialization and deserialization of script contexts in the UTXO (Unspent Transaction Output) model. The UTXO model is a way of representing the state of a blockchain by keeping track of all unspent transaction outputs. The script context contains information about the current state of the blockchain, such as the current block height and the balances of all addresses. By serializing and deserializing the script context, it can be transmitted between nodes in the network or stored in a database.\n\nHere is an example of how this serializer might be used in the larger project:\n\n```scala\nval context = new DeserializeContext[SType](byteArray, expectedType)\nval serializer = new DeserializeContextSerializer((id: Byte, tpe: SType) => new Value[SType](id, tpe))\nval serializedContext = serializer.serialize(context, new SigmaByteWriter())\n```\n\nIn this example, a new `DeserializeContext` object is created with a byte array and an expected type. The `DeserializeContextSerializer` is then used to serialize the context into a byte array. The resulting `serializedContext` can be transmitted over a network or stored in a database.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for deserializing a context with a specified expected type of a script.\n2. What is the input and output of the `serialize` method?\n - The input is an object of type `DeserializeContext[SType]` and a `SigmaByteWriter`. The output is `Unit`.\n3. What is the purpose of the `cons` parameter in the `DeserializeContextSerializer` case class?\n - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value[SType]`. It is used in the `parse` method to construct the deserialized context." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.json new file mode 100644 index 0000000000..dbabf7e9bb --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "DeserializeRegisterSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the `DeserializeRegister` operation in the `sigmastate.utxo` package. This operation is used to deserialize a value from a register in an `ErgoBox`, which is a data structure used in the Ergo blockchain platform. The purpose of this serializer is to convert instances of `DeserializeRegister` into bytes for storage or transmission, and to parse those bytes back into instances of `DeserializeRegister`.\n\nThe `DeserializeRegisterSerializer` class takes a constructor argument `cons` which is a function that creates a new instance of `Value[SType]` given a `RegisterId`, an `SType`, and an optional default value. This function is used in the `parse` method to create a new `Value[SType]` from the deserialized data.\n\nThe `serialize` method takes an instance of `DeserializeRegister[SType]` and a `SigmaByteWriter` and writes the serialized bytes to the writer. The serialized bytes consist of the register number, the expected type of the deserialized script, and an optional default value. The `parse` method takes a `SigmaByteReader` and reads the serialized bytes to create a new instance of `Value[SType]`. It does this by reading the register number, the type, and the default value (if present) from the reader, and then calling the `cons` function to create a new `Value[SType]`.\n\nOverall, this serializer is an important component of the larger project because it allows instances of `DeserializeRegister` to be stored and transmitted as bytes. This is necessary for the operation to be used in the Ergo blockchain platform, where data must be serialized and deserialized for storage and transmission. An example of how this serializer might be used in the larger project is shown below:\n\n```\nval regId = RegisterId.R4\nval tpe = SType.SLong\nval defaultValue = Some(LongConstant(0))\nval deserializeReg = DeserializeRegister(regId, tpe, defaultValue)\nval serializer = DeserializeRegisterSerializer((regId, tpe, defaultValue) => LongConstant(0))\nval bytes = serializer.toBytes(deserializeReg)\nval deserializedReg = serializer.parseBytes(bytes)\n```", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a specific type of operation called `DeserializeRegister` in the `sigmastate.utxo` package. It is used to serialize and deserialize data related to this operation.\n\n2. What are the inputs and outputs of the `parse` method?\n- The `parse` method takes in a `SigmaByteReader` object and returns a `Value[SType]` object. It reads in data from the byte reader and constructs a `Value` object using the `cons` function provided in the constructor.\n\n3. What is the significance of the `wasDeserialize` flag being marked as true?\n- The `wasDeserialize` flag is used to indicate whether or not the `parse` method has been called during deserialization. This is important because it prevents infinite recursion when deserializing nested objects." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.json new file mode 100644 index 0000000000..805a8dabf9 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExtractRegisterAsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala", + "summary": "The code above defines a serializer for the ExtractRegisterAs operation in the SigmaState language. This operation is used to extract a value from a register in an ErgoBox, which is a data structure used in the Ergo blockchain. The purpose of this serializer is to convert an ExtractRegisterAs object into a byte array that can be transmitted over the network or stored on disk.\n\nThe ExtractRegisterAsSerializer class takes a constructor argument that is a function which creates a new ExtractRegisterAs object from a box, register ID, and optional type. This function is used in the parse method to create a new ExtractRegisterAs object from the serialized data.\n\nThe serialize method takes an ExtractRegisterAs object and a SigmaByteWriter object as input. It first writes the input value to the byte array using the thisArg DataInfo object. It then writes the register ID to the byte array using the regIdArg DataInfo object. Finally, it writes the expected type of the value in the register to the byte array using the typeInfo ArgInfo object.\n\nThe parse method takes a SigmaByteReader object as input and reads the serialized data from it. It first reads the input value from the byte array using the getValue method. It then reads the register ID from the byte array using the getByte method. It uses the ErgoBox.findRegisterByIndex method to find the register in the box with the given ID. Finally, it reads the expected type of the value from the byte array using the getType method and uses the constructor function to create a new ExtractRegisterAs object.\n\nOverall, this code is an important part of the serialization process for the ExtractRegisterAs operation in the SigmaState language. It allows for the efficient transmission and storage of this operation in the Ergo blockchain.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the ExtractRegisterAs operation in the Sigma state language, which extracts a value from a register in an ErgoBox.\n\n2. What other classes or packages does this code depend on?\n - This code depends on classes from the org.ergoplatform and sigmastate packages, as well as the sigmastate.utxo and sigmastate.utils packages.\n\n3. What is the expected format of the input and output for this serializer?\n - The input is an ExtractRegisterAs object with a specified input, register ID, and expected type. The output is a serialized version of this object that can be parsed back into a Value[SType]." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.json new file mode 100644 index 0000000000..473a6ea5ec --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "FilterSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing a Filter object. The Filter object is used in the context of the UTXO (Unspent Transaction Output) model, which is a way of representing the state of a blockchain. The purpose of the Filter object is to filter a collection of UTXOs based on a given condition.\n\nThe FilterSerializer class is a custom serializer for the Filter object. It takes a constructor function as a parameter, which is used to create a new Filter object during deserialization. The serialize method takes a Filter object and a SigmaByteWriter object as input and writes the input and condition values of the Filter object to the writer. The parse method takes a SigmaByteReader object as input and reads the input and condition values from the reader. It then uses the constructor function to create a new Filter object with the parsed values.\n\nHere is an example of how the FilterSerializer class can be used in the larger project:\n\n```scala\nimport sigmastate.utxo.Filter\n\nval filter = Filter(input, condition)\nval serializer = FilterSerializer((input, condition) => Filter(input, condition))\n\nval writer = new SigmaByteWriter()\nserializer.serialize(filter, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval parsedFilter = serializer.parse(reader)\n```\n\nIn the example above, a new Filter object is created with the input and condition values. The FilterSerializer is then used to serialize the Filter object to a byte array and deserialize it back to a new Filter object. This can be useful when transmitting Filter objects over a network or storing them in a database.", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a serializer for the `Filter` class in the `sigmastate.utxo` package, which takes in a collection of values and a function and returns a filtered collection of values based on the function.\n\n2. What other classes or packages does this code depend on?\n This code depends on classes and packages from `sigmastate.Values`, `sigmastate.lang.Terms`, `sigmastate.serialization`, `sigmastate.utils`, `sigmastate.utxo`, and `sigmastate`.\n\n3. What is the expected input and output format for the `serialize` and `parse` methods?\n The `serialize` method takes in a `Filter` object and a `SigmaByteWriter` object and outputs a serialized version of the `Filter` object. The `parse` method takes in a `SigmaByteReader` object and outputs a `Value[SCollection[SType]]` object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.json new file mode 100644 index 0000000000..137e5391e3 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "FoldSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Fold operation in the SigmaState project. SigmaState is a smart contract language that allows for the creation of secure and efficient contracts on blockchain platforms. The Fold operation is used to reduce a collection of elements to a single value using a binary operation. \n\nThe FoldSerializer class takes in a constructor that accepts three arguments: a collection of SType values, a single SType value, and a function that takes two SType values and returns a single SType value. These arguments are used to create a Fold object that represents the Fold operation. \n\nThe serializer implements the ValueSerializer trait and overrides its methods to serialize and parse the Fold object. The serialize method takes in a Fold object and a SigmaByteWriter object and writes the input, zero, and foldOp values of the Fold object to the writer. The parse method takes in a SigmaByteReader object and reads the input, zero, and foldOp values from the reader to create a new Fold object. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize Fold objects for use in smart contracts. For example, a smart contract that needs to reduce a collection of values to a single value could use the Fold operation and this serializer to store and retrieve the Fold object on the blockchain. \n\nHere is an example of how the FoldSerializer could be used in a smart contract:\n\n```\nval collection: Value[SCollection[SInt.type]] = ... // collection of integers\nval zero: Value[SInt.type] = ... // initial value for reduction\nval addFunc: Value[SFunc] = ... // function that adds two integers\nval foldOp: Fold[SInt.type, SInt.type] = Fold(collection, zero, addFunc) // create Fold object\nval serializer: FoldSerializer = FoldSerializer(foldOp) // create serializer for Fold object\nval bytes: Array[Byte] = serializer.toBytes // serialize Fold object to bytes\nval deserializer: FoldSerializer = FoldSerializer() // create deserializer for Fold object\nval newFoldOp: Fold[SInt.type, SInt.type] = deserializer.fromBytes(bytes) // deserialize Fold object from bytes\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the Fold operation in the Sigma programming language.\n2. What input does the `serialize` method take and what output does it produce?\n - The `serialize` method takes a `Fold[SType, SType]` object and a `SigmaByteWriter` object as input, and produces no output (returns `Unit`). It serializes the `Fold` object by writing its `input`, `zero`, and `foldOp` fields to the `SigmaByteWriter`.\n3. What is the purpose of the `cons` parameter in the `FoldSerializer` case class?\n - The `cons` parameter is a function that takes three `Value` objects (of types `SCollection[SType]`, `SType`, and `SFunc`) as input and produces a `Value[SType]` object as output. It is used in the `parse` method to construct a `Fold` object from the serialized data." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.json new file mode 100644 index 0000000000..798df0ba86 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "LogicalTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for logical transformers in the Sigmastate language. \n\nA logical transformer is a type of transformer that takes a collection of boolean values as input and returns a single boolean value as output. The `LogicalTransformerSerializer` class is responsible for serializing and deserializing these transformers. \n\nThe `LogicalTransformerSerializer` class takes two type parameters, `I` and `O`, which represent the input and output types of the transformer, respectively. The class also takes two arguments, `opDesc` and `cons`, which are used to construct the transformer. \n\nThe `opDesc` argument is an instance of `LogicalTransformerCompanion`, which provides information about the transformer, such as its name and argument types. The `cons` argument is a function that takes a collection of boolean values as input and returns a single boolean value as output. \n\nThe `LogicalTransformerSerializer` class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing values. The `serialize` method takes a `Transformer[I, O]` object and a `SigmaByteWriter` object as input, and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object as input, reads the serialized form of the transformer from the reader, and returns a `Value[SBoolean.type]` object. \n\nOverall, this code provides a way to serialize and deserialize logical transformers in the Sigmastate language. This functionality can be used in the larger Sigmastate project to enable communication between different parts of the system that use logical transformers. \n\nExample usage:\n\n```\nval transformer = MyLogicalTransformer(arg1, arg2)\nval serializer = LogicalTransformerSerializer(MyLogicalTransformer, transformer.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n This code defines a serializer for a logical transformer that takes a collection of boolean values as input and outputs a single boolean value.\n\n2. What is the role of the `LogicalTransformerCompanion` object?\n The `LogicalTransformerCompanion` object provides information about the logical transformer, including the types of its arguments and the function that it applies.\n\n3. What is the significance of the `DataInfo` object?\n The `DataInfo` object provides information about the type and format of the data that is being serialized or deserialized, which is used to ensure that the data is correctly encoded and decoded." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.json new file mode 100644 index 0000000000..76b02eb7d8 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "MapCollectionSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala", + "summary": "The code above is a Scala class called MapCollectionSerializer, which is responsible for serializing and deserializing instances of the MapCollection class. The MapCollection class is part of the SigmaState library, which is a collection of data structures and algorithms for working with cryptographic protocols.\n\nThe MapCollectionSerializer class takes a constructor argument called cons, which is a function that takes two arguments of type Value[SCollection[SType]] and Value[SFunc], and returns a Value[SType]. This function is used to create new instances of the MapCollection class during deserialization.\n\nThe class extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of MapCollection and a SigmaByteWriter object, and writes the input and mapper values of the MapCollection to the writer. The parse method takes a SigmaByteReader object, reads the input and mapper values from the reader, and uses the cons function to create a new instance of MapCollection.\n\nThe MapCollection class represents a collection of elements that have been transformed by a mapping function. It is used in the SigmaState library to implement various cryptographic protocols, such as zero-knowledge proofs and secure multi-party computation. The MapCollectionSerializer class is used to serialize and deserialize instances of MapCollection, which allows them to be transmitted over a network or stored in a database.\n\nHere is an example of how the MapCollection class might be used in a larger project:\n\n```\nval input = SCollection[Int](Seq(1, 2, 3))\nval mapper = SFunc[Int, Int](x => x * 2)\nval mapCollection = MapCollection(input, mapper)\nval serializer = MapCollectionSerializer((i, f) => MapCollection(i, f))\nval bytes = serializer.toBytes(mapCollection)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, we create a new instance of MapCollection with an input collection of integers and a mapping function that doubles each element. We then create a new instance of MapCollectionSerializer and use it to serialize the MapCollection to a byte array. Finally, we use the serializer to deserialize the byte array back into a MapCollection object.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the MapCollection class in the Sigmastate library, which is used to transform a collection of elements using a provided function.\n\n2. What other classes or operations does this code depend on?\n - This code depends on several classes and operations from the Sigmastate library, including Value, SValue, SCollection, SType, SFunc, MapCollection, and MapCollectionInfo.\n\n3. How does the serializer work and what data does it serialize?\n - The serializer works by serializing the input collection and mapper function of a MapCollection object using a SigmaByteWriter. It then deserializes these values using a SigmaByteReader to reconstruct the original MapCollection object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.json new file mode 100644 index 0000000000..dc215376a4 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "NumericCastSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a specific type of transformer called `NumericCastTransformer`. This transformer is used to cast a value of one numeric type to another numeric type. \n\nThe `NumericCastSerializer` class takes in a `NumericCastCompanion` object and a constructor function that takes in a value of type `Value[SNumericType]` and an `SNumericType` and returns a value of type `Value[SNumericType]`. The `NumericCastCompanion` object provides information about the transformer, such as the argument information and the resulting type of the cast operation.\n\nThe `NumericCastSerializer` class extends the `ValueSerializer` class, which is used to serialize and deserialize values in Sigmastate. It overrides the `serialize` and `parse` methods to handle the serialization and deserialization of `NumericCastTransformer` objects.\n\nThe `serialize` method takes in a `NumericCastTransformer` object and a `SigmaByteWriter` object. It first writes the input value of the transformer to the writer using the `putValue` method and the `inputInfo` object from the `NumericCastCompanion`. It then writes the resulting type of the cast operation to the writer using the `putType` method and the `typeInfo` object.\n\nThe `parse` method takes in a `SigmaByteReader` object and returns a value of type `Value[SNumericType]`. It first reads the input value from the reader using the `getValue` method and casts it to a `NumValue`. It then reads the resulting type of the cast operation from the reader using the `getType` method and casts it to a `NumType`. Finally, it calls the constructor function with the input value and resulting type to create a new value of type `Value[SNumericType]`.\n\nOverall, this code provides a way to serialize and deserialize `NumericCastTransformer` objects in Sigmastate. This can be useful in the larger project for storing and transmitting these objects between different parts of the system. Here is an example of how this serializer might be used:\n\n```\nval transformer = NumericCastTransformer(inputValue, resultingType)\nval serializer = NumericCastSerializer(NumericCastCompanion, transformer)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes()\n// send bytes over network or store in database\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a serializer for a numeric cast transformer in the Sigma state language.\n\n2. What is the input and output of the transformer being serialized?\n- The input and output of the transformer are both values of type SNumericType.\n\n3. What is the significance of the NumericCastCompanion and cons parameters?\n- The NumericCastCompanion parameter provides information about the numeric cast operation being serialized, while the cons parameter is a function that constructs the resulting value of the cast operation." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.json new file mode 100644 index 0000000000..aea4794c1a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProveDHTupleSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala", + "summary": "The code above contains two case classes, `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer`, which are used to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple`, respectively. \n\n`ProveDHTuple` is a class that represents a Diffie-Hellman tuple, which consists of four elliptic curve points: `g`, `h`, `u`, and `v`. `CreateProveDHTuple` is an operation that creates a sigma protocol proof of knowledge of a Diffie-Hellman tuple. \n\nThe `ProveDHTupleSerializer` case class takes a constructor function that creates a `ProveDHTuple` instance from four elliptic curve points. It extends the `SigmaSerializer` trait, which defines methods for serializing and deserializing objects. The `serialize` method takes a `ProveDHTuple` instance and a `SigmaByteWriter` and writes the four elliptic curve points to the writer using the `GroupElementSerializer.serialize` method. The `parse` method reads the four elliptic curve points from a `SigmaByteReader` using the `GroupElementSerializer.parse` method and passes them to the constructor function to create a `ProveDHTuple` instance.\n\nThe `CreateProveDHTupleSerializer` case class takes a constructor function that creates a `SigmaPropValue` instance from four `Value[SGroupElement.type]` instances. It extends the `ValueSerializer` trait, which defines methods for serializing and deserializing values. The `serialize` method takes a `CreateProveDHTuple` instance and a `SigmaByteWriter` and writes the four `Value[SGroupElement.type]` instances to the writer using the `putValue` method. The `parse` method reads the four `Value[SGroupElement.type]` instances from a `SigmaByteReader` using the `getValue` method and passes them to the constructor function to create a `SigmaPropValue` instance.\n\nThese case classes are used in the larger project to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple` for storage and transmission. For example, if a `ProveDHTuple` instance needs to be stored in a database, it can be serialized using the `ProveDHTupleSerializer.serialize` method and written to the database. Later, it can be read from the database and deserialized using the `ProveDHTupleSerializer.parse` method. Similarly, if a `CreateProveDHTuple` instance needs to be transmitted over a network, it can be serialized using the `CreateProveDHTupleSerializer.serialize` method and sent over the network. On the receiving end, it can be deserialized using the `CreateProveDHTupleSerializer.parse` method.", + "questions": "1. What is the purpose of the `ProveDHTupleSerializer` class?\n- The `ProveDHTupleSerializer` class is used to serialize and deserialize instances of the `ProveDHTuple` class.\n\n2. What is the difference between the `ProveDHTupleSerializer` and the `CreateProveDHTupleSerializer` classes?\n- The `ProveDHTupleSerializer` is used to serialize and deserialize instances of the `ProveDHTuple` class, while the `CreateProveDHTupleSerializer` is used to serialize and deserialize instances of the `CreateProveDHTuple` class.\n\n3. What is the purpose of the `cons` parameter in both the `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer` classes?\n- The `cons` parameter is a function that is used to construct instances of the `ProveDHTuple` and `CreateProveDHTuple` classes, respectively." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.json new file mode 100644 index 0000000000..30e105f96b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala", + "summary": "The code provided is a Scala implementation of a serializer for a SigmaTransformer, which is a type of data structure used in the Sigmastate project. The purpose of this serializer is to convert a SigmaTransformer object into a byte stream that can be transmitted over a network or stored in a file. The serializer also provides a method to parse the byte stream back into a SigmaTransformer object.\n\nThe SigmaTransformerSerializer class takes two type parameters, I and O, which represent the input and output types of the SigmaTransformer. The class is constructed with a SigmaTransformerCompanion object and a function that takes a sequence of SigmaPropValue objects and returns a SigmaPropValue object. The SigmaTransformerCompanion object provides information about the SigmaTransformer, such as the number and types of arguments it takes.\n\nThe serializer implements the ValueSerializer trait, which requires two methods: serialize and parse. The serialize method takes a SigmaTransformer object and a SigmaByteWriter object and writes the object's items to the writer using the putValues method. The items are obtained from the SigmaTransformer object and are written to the writer using the argInfos and valuesItemInfo methods of the SigmaTransformerCompanion object.\n\nThe parse method takes a SigmaByteReader object and returns a SigmaPropValue object. It first reads the number of items in the byte stream using the getUIntExact method of the reader. It then creates an array of SigmaPropValue objects with the same size as the number of items and reads each item from the byte stream using the getValue method of the reader. Finally, it calls the constructor function with the array of SigmaPropValue objects as an argument to create a new SigmaPropValue object.\n\nThis serializer is an important component of the Sigmastate project as it allows SigmaTransformer objects to be transmitted and stored efficiently. It can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project. An example of how this serializer might be used in the larger project is to serialize a SigmaTransformer object and send it over a network to a remote node for processing.", + "questions": "1. What is the purpose of the `SigmaTransformerSerializer` class?\n- The `SigmaTransformerSerializer` class is a serializer for `SigmaTransformer` instances, which are used to transform `SigmaPropValue` instances.\n\n2. What is the significance of the `opDesc` and `cons` parameters in the `SigmaTransformerSerializer` constructor?\n- The `opDesc` parameter is a `SigmaTransformerCompanion` object that provides information about the `SigmaTransformer` being serialized. The `cons` parameter is a function that takes a sequence of `SigmaPropValue` instances and returns a `SigmaPropValue` instance.\n\n3. What is the purpose of the `parse` method in the `SigmaTransformerSerializer` class?\n- The `parse` method deserializes a `SigmaTransformer` instance from a `SigmaByteReader` by reading in a sequence of `SigmaPropValue` instances and passing them to the `cons` function to create a new `SigmaPropValue` instance." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.json new file mode 100644 index 0000000000..220471b40e --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SimpleTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a simple transformer that takes an input of type `I` and produces an output of type `O`. The transformer is represented by the `Transformer[I, O]` class, which is a part of the `sigmastate.utxo` package.\n\nThe `SimpleTransformerSerializer` class is responsible for serializing and deserializing instances of the `Transformer[I, O]` class. It takes two parameters: `opDesc`, which is an instance of the `SimpleTransformerCompanion` class that provides information about the transformer, and `cons`, which is a function that takes an input of type `Value[I]` and produces an output of type `Value[O]`.\n\nThe `serialize` method of the `SimpleTransformerSerializer` class takes an instance of the `Transformer[I, O]` class and a `SigmaByteWriter` object and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object and returns an instance of the `Value[O]` class that represents the deserialized transformer.\n\nThe `inputInfo` field of the `SimpleTransformerSerializer` class is an instance of the `DataInfo[SValue]` class that provides information about the input value of the transformer. This information is used by the `serialize` method to write the serialized form of the input value to the writer.\n\nOverall, this code provides a way to serialize and deserialize instances of the `Transformer[I, O]` class, which can be used in the larger Sigmastate project to represent various types of transformers that operate on values of different types. Here is an example of how this code can be used:\n\n```scala\nimport sigmastate.SType\nimport sigmastate.Values.{Value, SValue}\nimport sigmastate.utxo.{Transformer, SimpleTransformerCompanion}\n\n// Define a simple transformer that takes an Int value and adds 1 to it\ncase class AddOneTransformer() extends Transformer[Int, Int] {\n override def apply(input: Value[Int]): Value[Int] = input + 1\n}\n\n// Create a serializer for the AddOneTransformer class\nval serializer = SimpleTransformerSerializer(AddOneTransformer, AddOneTransformer())\n\n// Serialize an instance of the AddOneTransformer class\nval transformerBytes = serializer.toBytes(AddOneTransformer())\n\n// Deserialize the serialized bytes into an instance of the AddOneTransformer class\nval deserializedTransformer = serializer.parseBytes(transformerBytes)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for a simple transformer that takes an input value of type I and returns an output value of type O.\n\n2. What is the significance of the `SimpleTransformerCompanion` parameter in the `SimpleTransformerSerializer` case class?\n - The `SimpleTransformerCompanion` provides information about the transformer being serialized, such as the types of its input and output values.\n\n3. What is the role of the `parse` method in the `SimpleTransformerSerializer` class?\n - The `parse` method deserializes a value of type `O` from a `SigmaByteReader` by first reading an input value of type `I` and then applying the transformer's `cons` function to it." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.json new file mode 100644 index 0000000000..f529d77e84 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SliceSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Slice operation in the SigmaState project. The Slice operation is used to extract a subsequence of elements from a collection. The purpose of this code is to provide a way to serialize and deserialize Slice objects, which can then be used in the larger project.\n\nThe SliceSerializer class takes a constructor that accepts three arguments: a Value object representing the input collection, a Value object representing the starting index of the subsequence, and a Value object representing the ending index of the subsequence. These arguments are used to create a new Value object representing the subsequence.\n\nThe class extends the ValueSerializer trait, which provides methods for serializing and deserializing Value objects. The opDesc method returns the Slice operation, which is used to identify the operation being serialized or deserialized.\n\nThe serialize method takes a Slice object and a SigmaByteWriter object as arguments. It then writes the input, from, and until values of the Slice object to the SigmaByteWriter object using the putValue method.\n\nThe parse method takes a SigmaByteReader object as an argument and reads the input, from, and until values from the reader using the getValue method. It then calls the constructor passed to the SliceSerializer object to create a new Value object representing the subsequence.\n\nOverall, this code provides a way to serialize and deserialize Slice objects in the SigmaState project. This can be useful for storing and transmitting Slice objects between different parts of the project. Here is an example of how this code might be used:\n\n```\nval input = SCollection[Int](1, 2, 3, 4, 5)\nval from = SInt(1)\nval until = SInt(4)\nval slice = Slice(input, from, until)\nval serializer = SliceSerializer((i, f, u) => Slice(i, f, u))\nval writer = new SigmaByteWriter()\nserializer.serialize(slice, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval deserializedSlice = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the `Slice` operation in the Sigma programming language, which extracts a sub-collection from a given collection.\n2. What other operations does this code depend on?\n - This code depends on the `Slice` operation and the `SInt`, `SCollection`, and `SType` types from the Sigma programming language.\n3. How does this code handle serialization and deserialization of `Slice` objects?\n - This code uses a `SigmaByteWriter` to serialize the `input`, `from`, and `until` values of a `Slice` object, and a `SigmaByteReader` to parse these values back into a `Slice` object using the `cons` constructor." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.json new file mode 100644 index 0000000000..c8d4f2d757 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.json @@ -0,0 +1,122 @@ +{ + "folderName": "transformers", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers", + "files": [ + { + "fileName": "AppendSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Append operation in the SigmaState project. The Append operation is used to concatenate two collections of the same type into a single collection. This serializer is responsible for converting an Append object into a byte stream that can be transmitted over a network or stored in a file.\n\nThe code imports several classes and objects from the SigmaState project, including AppendInfo, Value, SCollection, SType, and ValueSerializer. It also defines a case class called AppendSerializer that extends the ValueSerializer class and takes a constructor argument of type (Value[SCollection[SType]], Value[SCollection[SType]]) => Value[SCollection[SType]]. This constructor argument is a function that takes two collections of the same type and returns a new collection that is the concatenation of the two input collections.\n\nThe AppendSerializer class overrides two methods from the ValueSerializer class: opDesc and serialize. The opDesc method returns the Append object, which is the operation being serialized. The serialize method takes an Append object and a SigmaByteWriter object and writes the input and col2 collections to the byte stream using the putValue method of the SigmaByteWriter object.\n\nThe AppendSerializer class also defines a parse method that takes a SigmaByteReader object and returns a collection of the same type as the input and col2 collections. This method reads the input and col2 collections from the byte stream using the getValue method of the SigmaByteReader object and passes them to the constructor function defined in the AppendSerializer constructor.\n\nOverall, this serializer is an important component of the SigmaState project, as it allows Append objects to be transmitted and stored in a serialized format. It can be used in conjunction with other serializers and deserializers to enable the SigmaState system to communicate with other systems and store data in a variety of formats. An example of using this serializer might be in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for the `Append` operation in the `sigmastate.utxo` package. It allows for serialization and deserialization of `Append` objects to and from bytes.\n\n2. What is the `cons` parameter in the `AppendSerializer` case class and how is it used?\n- The `cons` parameter is a function that takes two `Value[SCollection[SType]]` objects and returns a new `Value[SCollection[SType]]` object. It is used in the `parse` method to construct a new `Value[SCollection[SType]]` object from the parsed input and col2 values.\n\n3. What is the purpose of the `opDesc` method in the `AppendSerializer` class?\n- The `opDesc` method returns the `Append` object, which is the operation that this serializer is designed to handle. It is used to ensure that the correct serializer is used for a given operation." + }, + { + "fileName": "AtLeastSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the AtLeast operation in the SigmaState project. The AtLeast operation is used to create a SigmaPropValue that represents a threshold signature scheme. It requires a minimum number of signatures from a collection of SigmaPropValues to be valid. \n\nThe AtLeastSerializer class takes a constructor that accepts a function that creates a SigmaPropValue from a bound value and a collection of SigmaPropValues. This function is used to deserialize the AtLeast operation from bytes. The class extends the ValueSerializer trait, which provides methods for serializing and deserializing values.\n\nThe serialize method takes an AtLeast object and a SigmaByteWriter and writes the bound and input values to the writer. The parse method takes a SigmaByteReader and reads the bound and input values from it. It then calls the constructor function to create a SigmaPropValue from the deserialized values.\n\nThis serializer is used in the larger SigmaState project to serialize and deserialize AtLeast operations. It allows AtLeast operations to be transmitted over the network or stored in a database. Here is an example of how the serializer can be used:\n\n```\nval atLeast = AtLeast(2, Seq(sigmaProp1, sigmaProp2, sigmaProp3))\nval serializer = AtLeastSerializer((bound, input) => AtLeast(bound, input))\nval bytes = serializer.toBytes(atLeast)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, an AtLeast object is created with a bound of 2 and a collection of three SigmaPropValues. The AtLeastSerializer is then used to serialize the object to bytes and deserialize it back to an AtLeast object. The constructor function passed to the serializer simply creates a new AtLeast object from the deserialized values.", + "questions": "1. What is the purpose of the AtLeastSerializer class?\n - The AtLeastSerializer class is a ValueSerializer for the AtLeast operation in the Sigma protocol, which serializes and deserializes AtLeast objects.\n\n2. What is the input format for the serialize method?\n - The serialize method takes an AtLeast object and a SigmaByteWriter as input.\n\n3. What is the output format for the parse method?\n - The parse method returns a SigmaPropValue object, which is constructed using the bound and input values obtained from the SigmaByteReader." + }, + { + "fileName": "BooleanTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for the `BooleanTransformer` class, which is used to transform a collection of values of a certain type `T` into a boolean value based on a given condition. \n\nThe `BooleanTransformerSerializer` class takes in a `BooleanTransformerCompanion` object and a function `f` that takes in a collection of values of type `T` and a function that returns a boolean value. It then extends the `ValueSerializer` class and provides implementations for the `serialize` and `parse` methods. \n\nThe `serialize` method takes in an instance of the `BooleanTransformer` class and a `SigmaByteWriter` object and writes the input and condition values of the transformer to the writer using the `putValue` method. \n\nThe `parse` method takes in a `SigmaByteReader` object and reads the input and condition values of the transformer from the reader using the `getValue` method. It then applies the `f` function to the input and condition values to obtain a boolean value. \n\nThis serializer can be used in the larger Sigmastate project to serialize and deserialize instances of the `BooleanTransformer` class, which can be used in various parts of the project to transform collections of values into boolean values based on a given condition. \n\nExample usage of this serializer could be as follows:\n\n```\nval transformer = BooleanTransformer(input, condition)\nval serializer = BooleanTransformerSerializer(BooleanTransformer, (input, condition) => transformer.f(input, condition))\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of the `BooleanTransformer` class and how is it used in the project?\n - The `BooleanTransformer` class is used in the project to represent a boolean expression that can be applied to a collection of values. It is serialized and deserialized using the `BooleanTransformerSerializer` class.\n2. What is the significance of the `opDesc` parameter in the `BooleanTransformerSerializer` constructor?\n - The `opDesc` parameter is a companion object for the `BooleanTransformer` class that provides information about the arguments required to construct a `BooleanTransformer` instance.\n3. How does the `parse` method in the `BooleanTransformerSerializer` class deserialize a `BooleanTransformer` instance?\n - The `parse` method reads the serialized input and condition values from a `SigmaByteReader` and applies the `f` function to create a new `BooleanTransformer` instance." + }, + { + "fileName": "ByIndexSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide serialization and deserialization functionality for the `ByIndex` operation in the Sigmastate language. \n\nThe `ByIndex` operation is used to retrieve an element from a collection by its index. The `ByIndexSerializer` class is responsible for serializing and deserializing instances of the `ByIndex` operation. It takes a constructor function as a parameter that is used to create a new instance of the `ByIndex` operation during deserialization.\n\nThe `ByIndexSerializer` class extends the `ValueSerializer` class, which is a base class for all value serializers in Sigmastate. It provides two methods for serialization and deserialization: `serialize` and `parse`. The `serialize` method takes an instance of the `ByIndex` operation and a `SigmaByteWriter` object and writes the serialized data to the writer. The `parse` method takes a `SigmaByteReader` object and returns a new instance of the `ByIndex` operation.\n\nThe `ByIndexSerializer` class also defines three `DataInfo` objects for the input, index, and default arguments of the `ByIndex` operation. These objects are used to provide additional information about the serialized data, such as its type and size.\n\nHere is an example of how the `ByIndexSerializer` class can be used to serialize and deserialize a `ByIndex` operation:\n\n```\nval input = SCollection(SInt)(Seq(1, 2, 3))\nval index = SInt(1)\nval default = None\nval byIndex = ByIndex(input, index, default)\n\nval serializer = ByIndexSerializer(ByIndex.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(byIndex, writer)\n\nval reader = new SigmaByteReader(writer.toBytes)\nval parsedByIndex = serializer.parse(reader)\n``` \n\nIn this example, we create a new instance of the `ByIndex` operation with an input collection of integers, an index of 1, and no default value. We then create a new instance of the `ByIndexSerializer` class and use it to serialize the `ByIndex` operation to a `SigmaByteWriter` object. Finally, we use the same serializer to deserialize the serialized data from a `SigmaByteReader` object and obtain a new instance of the `ByIndex` operation.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n- This code defines a serializer for the ByIndex operation in the Sigma state language, which allows for retrieving an element from a collection by its index. The serializer enables the operation to be serialized and deserialized for use in the Sigma protocol.\n\n2. What are the input and output types for the ByIndex operation?\n- The input type is a collection of some Sigma type (SCollection[SType]), and the output type is a single element of the same Sigma type (SType).\n\n3. What is the significance of the \"default\" argument in the ByIndexSerializer case class?\n- The \"default\" argument is an optional default value to return if the requested index is out of bounds for the input collection. If no default value is provided, an exception will be thrown instead." + }, + { + "fileName": "DeserializeContextSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the `DeserializeContext` class in the `sigmastate.utxo` package. This class is used to deserialize a script context from a byte array. The `DeserializeContextSerializer` class takes a constructor function that creates a new instance of the `Value` class with the given type and ID. \n\nThe purpose of this serializer is to convert a `DeserializeContext` object into a byte array that can be transmitted over a network or stored in a database. The `serialize` method takes a `DeserializeContext` object and a `SigmaByteWriter` object, and writes the type and ID of the deserialized script to the writer. The `parse` method reads the type and ID from a `SigmaByteReader` object and returns a new instance of the `Value` class with the given type and ID.\n\nThis serializer is used in the larger project to enable the serialization and deserialization of script contexts in the UTXO (Unspent Transaction Output) model. The UTXO model is a way of representing the state of a blockchain by keeping track of all unspent transaction outputs. The script context contains information about the current state of the blockchain, such as the current block height and the balances of all addresses. By serializing and deserializing the script context, it can be transmitted between nodes in the network or stored in a database.\n\nHere is an example of how this serializer might be used in the larger project:\n\n```scala\nval context = new DeserializeContext[SType](byteArray, expectedType)\nval serializer = new DeserializeContextSerializer((id: Byte, tpe: SType) => new Value[SType](id, tpe))\nval serializedContext = serializer.serialize(context, new SigmaByteWriter())\n```\n\nIn this example, a new `DeserializeContext` object is created with a byte array and an expected type. The `DeserializeContextSerializer` is then used to serialize the context into a byte array. The resulting `serializedContext` can be transmitted over a network or stored in a database.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for deserializing a context with a specified expected type of a script.\n2. What is the input and output of the `serialize` method?\n - The input is an object of type `DeserializeContext[SType]` and a `SigmaByteWriter`. The output is `Unit`.\n3. What is the purpose of the `cons` parameter in the `DeserializeContextSerializer` case class?\n - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value[SType]`. It is used in the `parse` method to construct the deserialized context." + }, + { + "fileName": "DeserializeRegisterSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the `DeserializeRegister` operation in the `sigmastate.utxo` package. This operation is used to deserialize a value from a register in an `ErgoBox`, which is a data structure used in the Ergo blockchain platform. The purpose of this serializer is to convert instances of `DeserializeRegister` into bytes for storage or transmission, and to parse those bytes back into instances of `DeserializeRegister`.\n\nThe `DeserializeRegisterSerializer` class takes a constructor argument `cons` which is a function that creates a new instance of `Value[SType]` given a `RegisterId`, an `SType`, and an optional default value. This function is used in the `parse` method to create a new `Value[SType]` from the deserialized data.\n\nThe `serialize` method takes an instance of `DeserializeRegister[SType]` and a `SigmaByteWriter` and writes the serialized bytes to the writer. The serialized bytes consist of the register number, the expected type of the deserialized script, and an optional default value. The `parse` method takes a `SigmaByteReader` and reads the serialized bytes to create a new instance of `Value[SType]`. It does this by reading the register number, the type, and the default value (if present) from the reader, and then calling the `cons` function to create a new `Value[SType]`.\n\nOverall, this serializer is an important component of the larger project because it allows instances of `DeserializeRegister` to be stored and transmitted as bytes. This is necessary for the operation to be used in the Ergo blockchain platform, where data must be serialized and deserialized for storage and transmission. An example of how this serializer might be used in the larger project is shown below:\n\n```\nval regId = RegisterId.R4\nval tpe = SType.SLong\nval defaultValue = Some(LongConstant(0))\nval deserializeReg = DeserializeRegister(regId, tpe, defaultValue)\nval serializer = DeserializeRegisterSerializer((regId, tpe, defaultValue) => LongConstant(0))\nval bytes = serializer.toBytes(deserializeReg)\nval deserializedReg = serializer.parseBytes(bytes)\n```", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a specific type of operation called `DeserializeRegister` in the `sigmastate.utxo` package. It is used to serialize and deserialize data related to this operation.\n\n2. What are the inputs and outputs of the `parse` method?\n- The `parse` method takes in a `SigmaByteReader` object and returns a `Value[SType]` object. It reads in data from the byte reader and constructs a `Value` object using the `cons` function provided in the constructor.\n\n3. What is the significance of the `wasDeserialize` flag being marked as true?\n- The `wasDeserialize` flag is used to indicate whether or not the `parse` method has been called during deserialization. This is important because it prevents infinite recursion when deserializing nested objects." + }, + { + "fileName": "ExtractRegisterAsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala", + "summary": "The code above defines a serializer for the ExtractRegisterAs operation in the SigmaState language. This operation is used to extract a value from a register in an ErgoBox, which is a data structure used in the Ergo blockchain. The purpose of this serializer is to convert an ExtractRegisterAs object into a byte array that can be transmitted over the network or stored on disk.\n\nThe ExtractRegisterAsSerializer class takes a constructor argument that is a function which creates a new ExtractRegisterAs object from a box, register ID, and optional type. This function is used in the parse method to create a new ExtractRegisterAs object from the serialized data.\n\nThe serialize method takes an ExtractRegisterAs object and a SigmaByteWriter object as input. It first writes the input value to the byte array using the thisArg DataInfo object. It then writes the register ID to the byte array using the regIdArg DataInfo object. Finally, it writes the expected type of the value in the register to the byte array using the typeInfo ArgInfo object.\n\nThe parse method takes a SigmaByteReader object as input and reads the serialized data from it. It first reads the input value from the byte array using the getValue method. It then reads the register ID from the byte array using the getByte method. It uses the ErgoBox.findRegisterByIndex method to find the register in the box with the given ID. Finally, it reads the expected type of the value from the byte array using the getType method and uses the constructor function to create a new ExtractRegisterAs object.\n\nOverall, this code is an important part of the serialization process for the ExtractRegisterAs operation in the SigmaState language. It allows for the efficient transmission and storage of this operation in the Ergo blockchain.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the ExtractRegisterAs operation in the Sigma state language, which extracts a value from a register in an ErgoBox.\n\n2. What other classes or packages does this code depend on?\n - This code depends on classes from the org.ergoplatform and sigmastate packages, as well as the sigmastate.utxo and sigmastate.utils packages.\n\n3. What is the expected format of the input and output for this serializer?\n - The input is an ExtractRegisterAs object with a specified input, register ID, and expected type. The output is a serialized version of this object that can be parsed back into a Value[SType]." + }, + { + "fileName": "FilterSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is responsible for serializing and deserializing a Filter object. The Filter object is used in the context of the UTXO (Unspent Transaction Output) model, which is a way of representing the state of a blockchain. The purpose of the Filter object is to filter a collection of UTXOs based on a given condition.\n\nThe FilterSerializer class is a custom serializer for the Filter object. It takes a constructor function as a parameter, which is used to create a new Filter object during deserialization. The serialize method takes a Filter object and a SigmaByteWriter object as input and writes the input and condition values of the Filter object to the writer. The parse method takes a SigmaByteReader object as input and reads the input and condition values from the reader. It then uses the constructor function to create a new Filter object with the parsed values.\n\nHere is an example of how the FilterSerializer class can be used in the larger project:\n\n```scala\nimport sigmastate.utxo.Filter\n\nval filter = Filter(input, condition)\nval serializer = FilterSerializer((input, condition) => Filter(input, condition))\n\nval writer = new SigmaByteWriter()\nserializer.serialize(filter, writer)\nval bytes = writer.toBytes\n\nval reader = new SigmaByteReader(bytes)\nval parsedFilter = serializer.parse(reader)\n```\n\nIn the example above, a new Filter object is created with the input and condition values. The FilterSerializer is then used to serialize the Filter object to a byte array and deserialize it back to a new Filter object. This can be useful when transmitting Filter objects over a network or storing them in a database.", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a serializer for the `Filter` class in the `sigmastate.utxo` package, which takes in a collection of values and a function and returns a filtered collection of values based on the function.\n\n2. What other classes or packages does this code depend on?\n This code depends on classes and packages from `sigmastate.Values`, `sigmastate.lang.Terms`, `sigmastate.serialization`, `sigmastate.utils`, `sigmastate.utxo`, and `sigmastate`.\n\n3. What is the expected input and output format for the `serialize` and `parse` methods?\n The `serialize` method takes in a `Filter` object and a `SigmaByteWriter` object and outputs a serialized version of the `Filter` object. The `parse` method takes in a `SigmaByteReader` object and outputs a `Value[SCollection[SType]]` object." + }, + { + "fileName": "FoldSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Fold operation in the SigmaState project. SigmaState is a smart contract language that allows for the creation of secure and efficient contracts on blockchain platforms. The Fold operation is used to reduce a collection of elements to a single value using a binary operation. \n\nThe FoldSerializer class takes in a constructor that accepts three arguments: a collection of SType values, a single SType value, and a function that takes two SType values and returns a single SType value. These arguments are used to create a Fold object that represents the Fold operation. \n\nThe serializer implements the ValueSerializer trait and overrides its methods to serialize and parse the Fold object. The serialize method takes in a Fold object and a SigmaByteWriter object and writes the input, zero, and foldOp values of the Fold object to the writer. The parse method takes in a SigmaByteReader object and reads the input, zero, and foldOp values from the reader to create a new Fold object. \n\nThis serializer can be used in the larger SigmaState project to serialize and deserialize Fold objects for use in smart contracts. For example, a smart contract that needs to reduce a collection of values to a single value could use the Fold operation and this serializer to store and retrieve the Fold object on the blockchain. \n\nHere is an example of how the FoldSerializer could be used in a smart contract:\n\n```\nval collection: Value[SCollection[SInt.type]] = ... // collection of integers\nval zero: Value[SInt.type] = ... // initial value for reduction\nval addFunc: Value[SFunc] = ... // function that adds two integers\nval foldOp: Fold[SInt.type, SInt.type] = Fold(collection, zero, addFunc) // create Fold object\nval serializer: FoldSerializer = FoldSerializer(foldOp) // create serializer for Fold object\nval bytes: Array[Byte] = serializer.toBytes // serialize Fold object to bytes\nval deserializer: FoldSerializer = FoldSerializer() // create deserializer for Fold object\nval newFoldOp: Fold[SInt.type, SInt.type] = deserializer.fromBytes(bytes) // deserialize Fold object from bytes\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the Fold operation in the Sigma programming language.\n2. What input does the `serialize` method take and what output does it produce?\n - The `serialize` method takes a `Fold[SType, SType]` object and a `SigmaByteWriter` object as input, and produces no output (returns `Unit`). It serializes the `Fold` object by writing its `input`, `zero`, and `foldOp` fields to the `SigmaByteWriter`.\n3. What is the purpose of the `cons` parameter in the `FoldSerializer` case class?\n - The `cons` parameter is a function that takes three `Value` objects (of types `SCollection[SType]`, `SType`, and `SFunc`) as input and produces a `Value[SType]` object as output. It is used in the `parse` method to construct a `Fold` object from the serialized data." + }, + { + "fileName": "LogicalTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for logical transformers in the Sigmastate language. \n\nA logical transformer is a type of transformer that takes a collection of boolean values as input and returns a single boolean value as output. The `LogicalTransformerSerializer` class is responsible for serializing and deserializing these transformers. \n\nThe `LogicalTransformerSerializer` class takes two type parameters, `I` and `O`, which represent the input and output types of the transformer, respectively. The class also takes two arguments, `opDesc` and `cons`, which are used to construct the transformer. \n\nThe `opDesc` argument is an instance of `LogicalTransformerCompanion`, which provides information about the transformer, such as its name and argument types. The `cons` argument is a function that takes a collection of boolean values as input and returns a single boolean value as output. \n\nThe `LogicalTransformerSerializer` class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing values. The `serialize` method takes a `Transformer[I, O]` object and a `SigmaByteWriter` object as input, and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object as input, reads the serialized form of the transformer from the reader, and returns a `Value[SBoolean.type]` object. \n\nOverall, this code provides a way to serialize and deserialize logical transformers in the Sigmastate language. This functionality can be used in the larger Sigmastate project to enable communication between different parts of the system that use logical transformers. \n\nExample usage:\n\n```\nval transformer = MyLogicalTransformer(arg1, arg2)\nval serializer = LogicalTransformerSerializer(MyLogicalTransformer, transformer.apply)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval parsedTransformer = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n This code defines a serializer for a logical transformer that takes a collection of boolean values as input and outputs a single boolean value.\n\n2. What is the role of the `LogicalTransformerCompanion` object?\n The `LogicalTransformerCompanion` object provides information about the logical transformer, including the types of its arguments and the function that it applies.\n\n3. What is the significance of the `DataInfo` object?\n The `DataInfo` object provides information about the type and format of the data that is being serialized or deserialized, which is used to ensure that the data is correctly encoded and decoded." + }, + { + "fileName": "MapCollectionSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala", + "summary": "The code above is a Scala class called MapCollectionSerializer, which is responsible for serializing and deserializing instances of the MapCollection class. The MapCollection class is part of the SigmaState library, which is a collection of data structures and algorithms for working with cryptographic protocols.\n\nThe MapCollectionSerializer class takes a constructor argument called cons, which is a function that takes two arguments of type Value[SCollection[SType]] and Value[SFunc], and returns a Value[SType]. This function is used to create new instances of the MapCollection class during deserialization.\n\nThe class extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of MapCollection and a SigmaByteWriter object, and writes the input and mapper values of the MapCollection to the writer. The parse method takes a SigmaByteReader object, reads the input and mapper values from the reader, and uses the cons function to create a new instance of MapCollection.\n\nThe MapCollection class represents a collection of elements that have been transformed by a mapping function. It is used in the SigmaState library to implement various cryptographic protocols, such as zero-knowledge proofs and secure multi-party computation. The MapCollectionSerializer class is used to serialize and deserialize instances of MapCollection, which allows them to be transmitted over a network or stored in a database.\n\nHere is an example of how the MapCollection class might be used in a larger project:\n\n```\nval input = SCollection[Int](Seq(1, 2, 3))\nval mapper = SFunc[Int, Int](x => x * 2)\nval mapCollection = MapCollection(input, mapper)\nval serializer = MapCollectionSerializer((i, f) => MapCollection(i, f))\nval bytes = serializer.toBytes(mapCollection)\nval deserialized = serializer.parseBytes(bytes)\n```\n\nIn this example, we create a new instance of MapCollection with an input collection of integers and a mapping function that doubles each element. We then create a new instance of MapCollectionSerializer and use it to serialize the MapCollection to a byte array. Finally, we use the serializer to deserialize the byte array back into a MapCollection object.", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the MapCollection class in the Sigmastate library, which is used to transform a collection of elements using a provided function.\n\n2. What other classes or operations does this code depend on?\n - This code depends on several classes and operations from the Sigmastate library, including Value, SValue, SCollection, SType, SFunc, MapCollection, and MapCollectionInfo.\n\n3. How does the serializer work and what data does it serialize?\n - The serializer works by serializing the input collection and mapper function of a MapCollection object using a SigmaByteWriter. It then deserializes these values using a SigmaByteReader to reconstruct the original MapCollection object." + }, + { + "fileName": "NumericCastSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a specific type of transformer called `NumericCastTransformer`. This transformer is used to cast a value of one numeric type to another numeric type. \n\nThe `NumericCastSerializer` class takes in a `NumericCastCompanion` object and a constructor function that takes in a value of type `Value[SNumericType]` and an `SNumericType` and returns a value of type `Value[SNumericType]`. The `NumericCastCompanion` object provides information about the transformer, such as the argument information and the resulting type of the cast operation.\n\nThe `NumericCastSerializer` class extends the `ValueSerializer` class, which is used to serialize and deserialize values in Sigmastate. It overrides the `serialize` and `parse` methods to handle the serialization and deserialization of `NumericCastTransformer` objects.\n\nThe `serialize` method takes in a `NumericCastTransformer` object and a `SigmaByteWriter` object. It first writes the input value of the transformer to the writer using the `putValue` method and the `inputInfo` object from the `NumericCastCompanion`. It then writes the resulting type of the cast operation to the writer using the `putType` method and the `typeInfo` object.\n\nThe `parse` method takes in a `SigmaByteReader` object and returns a value of type `Value[SNumericType]`. It first reads the input value from the reader using the `getValue` method and casts it to a `NumValue`. It then reads the resulting type of the cast operation from the reader using the `getType` method and casts it to a `NumType`. Finally, it calls the constructor function with the input value and resulting type to create a new value of type `Value[SNumericType]`.\n\nOverall, this code provides a way to serialize and deserialize `NumericCastTransformer` objects in Sigmastate. This can be useful in the larger project for storing and transmitting these objects between different parts of the system. Here is an example of how this serializer might be used:\n\n```\nval transformer = NumericCastTransformer(inputValue, resultingType)\nval serializer = NumericCastSerializer(NumericCastCompanion, transformer)\nval writer = new SigmaByteWriter()\nserializer.serialize(transformer, writer)\nval bytes = writer.toBytes()\n// send bytes over network or store in database\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a serializer for a numeric cast transformer in the Sigma state language.\n\n2. What is the input and output of the transformer being serialized?\n- The input and output of the transformer are both values of type SNumericType.\n\n3. What is the significance of the NumericCastCompanion and cons parameters?\n- The NumericCastCompanion parameter provides information about the numeric cast operation being serialized, while the cons parameter is a function that constructs the resulting value of the cast operation." + }, + { + "fileName": "ProveDHTupleSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala", + "summary": "The code above contains two case classes, `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer`, which are used to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple`, respectively. \n\n`ProveDHTuple` is a class that represents a Diffie-Hellman tuple, which consists of four elliptic curve points: `g`, `h`, `u`, and `v`. `CreateProveDHTuple` is an operation that creates a sigma protocol proof of knowledge of a Diffie-Hellman tuple. \n\nThe `ProveDHTupleSerializer` case class takes a constructor function that creates a `ProveDHTuple` instance from four elliptic curve points. It extends the `SigmaSerializer` trait, which defines methods for serializing and deserializing objects. The `serialize` method takes a `ProveDHTuple` instance and a `SigmaByteWriter` and writes the four elliptic curve points to the writer using the `GroupElementSerializer.serialize` method. The `parse` method reads the four elliptic curve points from a `SigmaByteReader` using the `GroupElementSerializer.parse` method and passes them to the constructor function to create a `ProveDHTuple` instance.\n\nThe `CreateProveDHTupleSerializer` case class takes a constructor function that creates a `SigmaPropValue` instance from four `Value[SGroupElement.type]` instances. It extends the `ValueSerializer` trait, which defines methods for serializing and deserializing values. The `serialize` method takes a `CreateProveDHTuple` instance and a `SigmaByteWriter` and writes the four `Value[SGroupElement.type]` instances to the writer using the `putValue` method. The `parse` method reads the four `Value[SGroupElement.type]` instances from a `SigmaByteReader` using the `getValue` method and passes them to the constructor function to create a `SigmaPropValue` instance.\n\nThese case classes are used in the larger project to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple` for storage and transmission. For example, if a `ProveDHTuple` instance needs to be stored in a database, it can be serialized using the `ProveDHTupleSerializer.serialize` method and written to the database. Later, it can be read from the database and deserialized using the `ProveDHTupleSerializer.parse` method. Similarly, if a `CreateProveDHTuple` instance needs to be transmitted over a network, it can be serialized using the `CreateProveDHTupleSerializer.serialize` method and sent over the network. On the receiving end, it can be deserialized using the `CreateProveDHTupleSerializer.parse` method.", + "questions": "1. What is the purpose of the `ProveDHTupleSerializer` class?\n- The `ProveDHTupleSerializer` class is used to serialize and deserialize instances of the `ProveDHTuple` class.\n\n2. What is the difference between the `ProveDHTupleSerializer` and the `CreateProveDHTupleSerializer` classes?\n- The `ProveDHTupleSerializer` is used to serialize and deserialize instances of the `ProveDHTuple` class, while the `CreateProveDHTupleSerializer` is used to serialize and deserialize instances of the `CreateProveDHTuple` class.\n\n3. What is the purpose of the `cons` parameter in both the `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer` classes?\n- The `cons` parameter is a function that is used to construct instances of the `ProveDHTuple` and `CreateProveDHTuple` classes, respectively." + }, + { + "fileName": "SigmaTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala", + "summary": "The code provided is a Scala implementation of a serializer for a SigmaTransformer, which is a type of data structure used in the Sigmastate project. The purpose of this serializer is to convert a SigmaTransformer object into a byte stream that can be transmitted over a network or stored in a file. The serializer also provides a method to parse the byte stream back into a SigmaTransformer object.\n\nThe SigmaTransformerSerializer class takes two type parameters, I and O, which represent the input and output types of the SigmaTransformer. The class is constructed with a SigmaTransformerCompanion object and a function that takes a sequence of SigmaPropValue objects and returns a SigmaPropValue object. The SigmaTransformerCompanion object provides information about the SigmaTransformer, such as the number and types of arguments it takes.\n\nThe serializer implements the ValueSerializer trait, which requires two methods: serialize and parse. The serialize method takes a SigmaTransformer object and a SigmaByteWriter object and writes the object's items to the writer using the putValues method. The items are obtained from the SigmaTransformer object and are written to the writer using the argInfos and valuesItemInfo methods of the SigmaTransformerCompanion object.\n\nThe parse method takes a SigmaByteReader object and returns a SigmaPropValue object. It first reads the number of items in the byte stream using the getUIntExact method of the reader. It then creates an array of SigmaPropValue objects with the same size as the number of items and reads each item from the byte stream using the getValue method of the reader. Finally, it calls the constructor function with the array of SigmaPropValue objects as an argument to create a new SigmaPropValue object.\n\nThis serializer is an important component of the Sigmastate project as it allows SigmaTransformer objects to be transmitted and stored efficiently. It can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project. An example of how this serializer might be used in the larger project is to serialize a SigmaTransformer object and send it over a network to a remote node for processing.", + "questions": "1. What is the purpose of the `SigmaTransformerSerializer` class?\n- The `SigmaTransformerSerializer` class is a serializer for `SigmaTransformer` instances, which are used to transform `SigmaPropValue` instances.\n\n2. What is the significance of the `opDesc` and `cons` parameters in the `SigmaTransformerSerializer` constructor?\n- The `opDesc` parameter is a `SigmaTransformerCompanion` object that provides information about the `SigmaTransformer` being serialized. The `cons` parameter is a function that takes a sequence of `SigmaPropValue` instances and returns a `SigmaPropValue` instance.\n\n3. What is the purpose of the `parse` method in the `SigmaTransformerSerializer` class?\n- The `parse` method deserializes a `SigmaTransformer` instance from a `SigmaByteReader` by reading in a sequence of `SigmaPropValue` instances and passing them to the `cons` function to create a new `SigmaPropValue` instance." + }, + { + "fileName": "SimpleTransformerSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala", + "summary": "The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a simple transformer that takes an input of type `I` and produces an output of type `O`. The transformer is represented by the `Transformer[I, O]` class, which is a part of the `sigmastate.utxo` package.\n\nThe `SimpleTransformerSerializer` class is responsible for serializing and deserializing instances of the `Transformer[I, O]` class. It takes two parameters: `opDesc`, which is an instance of the `SimpleTransformerCompanion` class that provides information about the transformer, and `cons`, which is a function that takes an input of type `Value[I]` and produces an output of type `Value[O]`.\n\nThe `serialize` method of the `SimpleTransformerSerializer` class takes an instance of the `Transformer[I, O]` class and a `SigmaByteWriter` object and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object and returns an instance of the `Value[O]` class that represents the deserialized transformer.\n\nThe `inputInfo` field of the `SimpleTransformerSerializer` class is an instance of the `DataInfo[SValue]` class that provides information about the input value of the transformer. This information is used by the `serialize` method to write the serialized form of the input value to the writer.\n\nOverall, this code provides a way to serialize and deserialize instances of the `Transformer[I, O]` class, which can be used in the larger Sigmastate project to represent various types of transformers that operate on values of different types. Here is an example of how this code can be used:\n\n```scala\nimport sigmastate.SType\nimport sigmastate.Values.{Value, SValue}\nimport sigmastate.utxo.{Transformer, SimpleTransformerCompanion}\n\n// Define a simple transformer that takes an Int value and adds 1 to it\ncase class AddOneTransformer() extends Transformer[Int, Int] {\n override def apply(input: Value[Int]): Value[Int] = input + 1\n}\n\n// Create a serializer for the AddOneTransformer class\nval serializer = SimpleTransformerSerializer(AddOneTransformer, AddOneTransformer())\n\n// Serialize an instance of the AddOneTransformer class\nval transformerBytes = serializer.toBytes(AddOneTransformer())\n\n// Deserialize the serialized bytes into an instance of the AddOneTransformer class\nval deserializedTransformer = serializer.parseBytes(transformerBytes)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for a simple transformer that takes an input value of type I and returns an output value of type O.\n\n2. What is the significance of the `SimpleTransformerCompanion` parameter in the `SimpleTransformerSerializer` case class?\n - The `SimpleTransformerCompanion` provides information about the transformer being serialized, such as the types of its input and output values.\n\n3. What is the role of the `parse` method in the `SimpleTransformerSerializer` class?\n - The `parse` method deserializes a value of type `O` from a `SigmaByteReader` by first reading an input value of type `I` and then applying the transformer's `cons` function to it." + }, + { + "fileName": "SliceSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the Slice operation in the SigmaState project. The Slice operation is used to extract a subsequence of elements from a collection. The purpose of this code is to provide a way to serialize and deserialize Slice objects, which can then be used in the larger project.\n\nThe SliceSerializer class takes a constructor that accepts three arguments: a Value object representing the input collection, a Value object representing the starting index of the subsequence, and a Value object representing the ending index of the subsequence. These arguments are used to create a new Value object representing the subsequence.\n\nThe class extends the ValueSerializer trait, which provides methods for serializing and deserializing Value objects. The opDesc method returns the Slice operation, which is used to identify the operation being serialized or deserialized.\n\nThe serialize method takes a Slice object and a SigmaByteWriter object as arguments. It then writes the input, from, and until values of the Slice object to the SigmaByteWriter object using the putValue method.\n\nThe parse method takes a SigmaByteReader object as an argument and reads the input, from, and until values from the reader using the getValue method. It then calls the constructor passed to the SliceSerializer object to create a new Value object representing the subsequence.\n\nOverall, this code provides a way to serialize and deserialize Slice objects in the SigmaState project. This can be useful for storing and transmitting Slice objects between different parts of the project. Here is an example of how this code might be used:\n\n```\nval input = SCollection[Int](1, 2, 3, 4, 5)\nval from = SInt(1)\nval until = SInt(4)\nval slice = Slice(input, from, until)\nval serializer = SliceSerializer((i, f, u) => Slice(i, f, u))\nval writer = new SigmaByteWriter()\nserializer.serialize(slice, writer)\nval bytes = writer.toBytes\nval reader = new SigmaByteReader(bytes)\nval deserializedSlice = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code?\n - This code defines a serializer for the `Slice` operation in the Sigma programming language, which extracts a sub-collection from a given collection.\n2. What other operations does this code depend on?\n - This code depends on the `Slice` operation and the `SInt`, `SCollection`, and `SType` types from the Sigma programming language.\n3. How does this code handle serialization and deserialization of `Slice` objects?\n - This code uses a `SigmaByteWriter` to serialize the `input`, `from`, and `until` values of a `Slice` object, and a `SigmaByteReader` to parse these values back into a `Slice` object using the `cons` constructor." + } + ], + "folders": [], + "summary": "The code in this folder provides serializers for various operations and transformers in the SigmaState project. Serializers are responsible for converting objects into byte streams that can be transmitted over a network or stored in a file, and deserializing them back into objects. These serializers are crucial for enabling communication between different parts of the SigmaState system and for storing data in various formats.\n\nFor example, the `AppendSerializer` class is responsible for serializing and deserializing the `Append` operation, which concatenates two collections of the same type. This serializer can be used in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection.\n\nAnother example is the `AtLeastSerializer` class, which serializes and deserializes the `AtLeast` operation. This operation is used to create a `SigmaPropValue` representing a threshold signature scheme, requiring a minimum number of signatures from a collection of `SigmaPropValues` to be valid. The serializer allows `AtLeast` operations to be transmitted over the network or stored in a database.\n\nThe `BooleanTransformerSerializer` class provides serialization and deserialization for the `BooleanTransformer` class, which is used to transform a collection of values into a boolean value based on a given condition. This serializer can be used in various parts of the project to transform collections of values into boolean values based on a given condition.\n\nIn summary, the serializers in this folder play a crucial role in the SigmaState project by enabling the efficient transmission and storage of various operations and transformers. They can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project, allowing for seamless communication between different parts of the system and efficient storage of data.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.json new file mode 100644 index 0000000000..675cab1810 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "QuadrupleSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala", + "summary": "The code above defines a serializer for a Quadruple, which is a data structure that holds four values of potentially different types. The purpose of this serializer is to convert a Quadruple object into a byte stream that can be transmitted over a network or stored in a file, and vice versa. \n\nThe serializer is defined as a case class that takes four type parameters, S1, S2, S3, and S4, which represent the types of the four values stored in the Quadruple. The constructor of the serializer takes two arguments: an instance of a QuadrupleCompanion object, which provides metadata about the Quadruple, and a function that takes three Value objects of types S1, S2, and S3, and returns a Value object of type S4. \n\nThe serializer implements the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes a Quadruple object and a SigmaByteWriter object, which is used to write the byte stream. The method first retrieves the DataInfo objects for the three values stored in the Quadruple from the QuadrupleCompanion object, and then writes each value to the byte stream using the putValue method of the SigmaByteWriter object. \n\nThe parse method takes a SigmaByteReader object, which is used to read the byte stream, and returns a Value object of type S4. The method first reads the three values from the byte stream using the getValue method of the SigmaByteReader object, and then calls the constructor function with these values to create a new Value object of type S4. \n\nThis serializer can be used in the larger project to serialize and deserialize Quadruple objects, which may be used to represent complex data structures or computations. For example, a Quadruple object could be used to represent a mathematical function that takes three inputs and produces one output. The serializer would then be used to transmit or store the function over a network or in a file. \n\nExample usage:\n\n```\nval q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true))\nval serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)})\nval writer = new SigmaByteWriter()\nserializer.serialize(q, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a Quadruple data structure in the Sigmastate project. It allows for the serialization and deserialization of Quadruple objects.\n\n2. What are the requirements for the input types S1, S2, S3, and S4?\n- The input types S1, S2, S3, and S4 must all be subtypes of SType, which is a type hierarchy for values in Sigmastate.\n\n3. What is the significance of the cons parameter in the QuadrupleSerializer constructor?\n- The cons parameter is a function that takes three Value objects of types S1, S2, and S3 and returns a Value object of type S4. It is used to construct a Quadruple object from the deserialized values." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.json new file mode 100644 index 0000000000..576a6edfd2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.json @@ -0,0 +1,7 @@ +{ + "fileName": "Relation2Serializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala", + "summary": "The code above defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array that can be transmitted over a network or stored in a file.\n\nThe serializer is implemented as a case class that takes two arguments: an instance of a RelationCompanion object that describes the relation, and the constructor function that creates the relation. The serializer extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of the relation and a SigmaByteWriter object, and writes the relation to the writer in a binary format. The parse method takes a SigmaByteReader object and returns an instance of the relation.\n\nThe serializer uses the opCodeInfo, bitsInfo, leftArgInfo, and rightArgInfo objects to define the format of the binary data. The opCodeInfo object is a DataInfo object that describes the opcode used to represent the relation. The bitsInfo object is a DataInfo object that describes the format of the two bits used to represent the relation. The leftArgInfo and rightArgInfo objects are DataInfo objects that describe the format of the two arguments to the relation.\n\nThe serializer uses the cases and when methods to define the different cases for serializing the relation. If the relation is a constant Boolean value, the serializer writes the opcode and the two bits to the writer. Otherwise, the serializer writes the two arguments to the writer.\n\nThe parse method uses the peekByte method to determine if the relation is a constant Boolean value. If it is, the method reads the two bits and creates an instance of the relation using the constructor function. Otherwise, the method reads the two arguments and creates an instance of the relation using the constructor function.\n\nOverall, this serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in a variety of contexts, such as in smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for a binary relation between two values of specific types in the SigmaState project. It serializes and deserializes the relation into a byte stream.\n\n2. What are the input and output types of the `Relation2Serializer` class?\n \n The `Relation2Serializer` class takes in three type parameters: `S1`, `S2`, and `R`. `S1` and `S2` are the types of the two values being related, and `R` is the type of the resulting relation. The class extends `ValueSerializer[R]`.\n\n3. What is the purpose of the `HOTSPOT` comment in the `parse` method?\n \n The `HOTSPOT` comment indicates that the code in the `parse` method should not be modified for performance reasons. This method is a critical part of the serialization process and any changes to it could have a significant impact on performance." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.json new file mode 100644 index 0000000000..f66e9a39d2 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.json @@ -0,0 +1,24 @@ +{ + "folderName": "trees", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees", + "files": [ + { + "fileName": "QuadrupleSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala", + "summary": "The code above defines a serializer for a Quadruple, which is a data structure that holds four values of potentially different types. The purpose of this serializer is to convert a Quadruple object into a byte stream that can be transmitted over a network or stored in a file, and vice versa. \n\nThe serializer is defined as a case class that takes four type parameters, S1, S2, S3, and S4, which represent the types of the four values stored in the Quadruple. The constructor of the serializer takes two arguments: an instance of a QuadrupleCompanion object, which provides metadata about the Quadruple, and a function that takes three Value objects of types S1, S2, and S3, and returns a Value object of type S4. \n\nThe serializer implements the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes a Quadruple object and a SigmaByteWriter object, which is used to write the byte stream. The method first retrieves the DataInfo objects for the three values stored in the Quadruple from the QuadrupleCompanion object, and then writes each value to the byte stream using the putValue method of the SigmaByteWriter object. \n\nThe parse method takes a SigmaByteReader object, which is used to read the byte stream, and returns a Value object of type S4. The method first reads the three values from the byte stream using the getValue method of the SigmaByteReader object, and then calls the constructor function with these values to create a new Value object of type S4. \n\nThis serializer can be used in the larger project to serialize and deserialize Quadruple objects, which may be used to represent complex data structures or computations. For example, a Quadruple object could be used to represent a mathematical function that takes three inputs and produces one output. The serializer would then be used to transmit or store the function over a network or in a file. \n\nExample usage:\n\n```\nval q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true))\nval serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)})\nval writer = new SigmaByteWriter()\nserializer.serialize(q, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\n```", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code is a serializer for a Quadruple data structure in the Sigmastate project. It allows for the serialization and deserialization of Quadruple objects.\n\n2. What are the requirements for the input types S1, S2, S3, and S4?\n- The input types S1, S2, S3, and S4 must all be subtypes of SType, which is a type hierarchy for values in Sigmastate.\n\n3. What is the significance of the cons parameter in the QuadrupleSerializer constructor?\n- The cons parameter is a function that takes three Value objects of types S1, S2, and S3 and returns a Value object of type S4. It is used to construct a Quadruple object from the deserialized values." + }, + { + "fileName": "Relation2Serializer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala", + "summary": "The code above defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array that can be transmitted over a network or stored in a file.\n\nThe serializer is implemented as a case class that takes two arguments: an instance of a RelationCompanion object that describes the relation, and the constructor function that creates the relation. The serializer extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of the relation and a SigmaByteWriter object, and writes the relation to the writer in a binary format. The parse method takes a SigmaByteReader object and returns an instance of the relation.\n\nThe serializer uses the opCodeInfo, bitsInfo, leftArgInfo, and rightArgInfo objects to define the format of the binary data. The opCodeInfo object is a DataInfo object that describes the opcode used to represent the relation. The bitsInfo object is a DataInfo object that describes the format of the two bits used to represent the relation. The leftArgInfo and rightArgInfo objects are DataInfo objects that describe the format of the two arguments to the relation.\n\nThe serializer uses the cases and when methods to define the different cases for serializing the relation. If the relation is a constant Boolean value, the serializer writes the opcode and the two bits to the writer. Otherwise, the serializer writes the two arguments to the writer.\n\nThe parse method uses the peekByte method to determine if the relation is a constant Boolean value. If it is, the method reads the two bits and creates an instance of the relation using the constructor function. Otherwise, the method reads the two arguments and creates an instance of the relation using the constructor function.\n\nOverall, this serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in a variety of contexts, such as in smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a serializer for a binary relation between two values of specific types in the SigmaState project. It serializes and deserializes the relation into a byte stream.\n\n2. What are the input and output types of the `Relation2Serializer` class?\n \n The `Relation2Serializer` class takes in three type parameters: `S1`, `S2`, and `R`. `S1` and `S2` are the types of the two values being related, and `R` is the type of the resulting relation. The class extends `ValueSerializer[R]`.\n\n3. What is the purpose of the `HOTSPOT` comment in the `parse` method?\n \n The `HOTSPOT` comment indicates that the code in the `parse` method should not be modified for performance reasons. This method is a critical part of the serialization process and any changes to it could have a significant impact on performance." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees` folder contains two important serializers, `QuadrupleSerializer.scala` and `Relation2Serializer.scala`, which are used for serializing and deserializing complex data structures and binary relations, respectively.\n\n`QuadrupleSerializer.scala` defines a serializer for a Quadruple, a data structure that holds four values of potentially different types. This serializer converts a Quadruple object into a byte stream for transmission or storage and vice versa. It can be used in the larger project to serialize and deserialize Quadruple objects representing complex data structures or computations. For example, a Quadruple object could represent a mathematical function with three inputs and one output. The serializer would then be used to transmit or store the function over a network or in a file.\n\nExample usage:\n\n```scala\nval q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true))\nval serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)})\nval writer = new SigmaByteWriter()\nserializer.serialize(q, writer)\nval bytes = writer.toBytes\nval reader = SigmaByteReader(bytes)\nval parsed = serializer.parse(reader)\n```\n\n`Relation2Serializer.scala` defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array for transmission or storage.\n\nThis serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in various contexts, such as smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/sigmastate.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/sigmastate.json new file mode 100644 index 0000000000..da19f244a0 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/sigmastate.json @@ -0,0 +1,7 @@ +{ + "fileName": "sigmastate.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/sigmastate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/sigmastate.scala", + "summary": "This code defines a set of functions for performing arithmetic operations on values of numeric types in the Sigma programming language. The functions are defined in the `sigmastate` package and are accessible to other parts of the project.\n\nThe functions include `Plus`, `Minus`, `Multiply`, `Divide`, and `Modulo`, which perform addition, subtraction, multiplication, division, and modulo operations on values of numeric types. These functions take two arguments of the same numeric type and return a value of the same type.\n\nIn addition to these basic arithmetic operations, the code also defines `Min` and `Max` functions, which return the minimum and maximum of two values of the same numeric type.\n\nFinally, the code defines `PlusModQ` and `MinusModQ` functions, which perform addition and subtraction operations on values of the `SBigInt` type, but with the result modulo a large prime number `Q`. These functions are used in cryptographic protocols to ensure that the result of the operation remains within a certain range.\n\nOverall, this code provides a set of basic arithmetic operations that can be used in various parts of the Sigma project, such as in the implementation of smart contracts or cryptographic protocols. For example, the `Plus` function could be used to add two values in a smart contract, while the `PlusModQ` function could be used in a cryptographic protocol to perform secure addition of large numbers.", + "questions": "1. What is the purpose of this code?\n- This code defines several functions for performing mathematical operations on values of specific types.\n\n2. What is the significance of the `SNumericType` and `SBigInt.type` types?\n- `SNumericType` is a type parameter that constrains the input values to be of a numeric type, while `SBigInt.type` is a singleton type representing the `BigInt` type.\n\n3. What is the role of the `CheckingSigmaBuilder` import?\n- The `CheckingSigmaBuilder` import is used to provide access to the `mkPlus`, `mkMinus`, `mkMultiply`, `mkDivide`, `mkModulo`, `mkMin`, `mkMax`, `mkPlusModQ`, and `mkMinusModQ` functions, which are used to construct new values of the appropriate types." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.json new file mode 100644 index 0000000000..07959e711f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Extensions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala", + "summary": "The code in this file defines extension methods for converting numeric types to byte arrays and collections of Booleans. These methods are defined as implicit classes, which allows them to be used as if they were part of the original numeric types.\n\nThe `ByteOpsForSigma` class defines two methods: `toBytes` and `toBits`. The `toBytes` method returns a big-endian representation of the Byte value in a collection of bytes. For example, the Byte value `0x12` would yield the byte array `{0x12}`. The `toBits` method is not implemented and is left as a TODO for future development.\n\nThe `ShortOpsForSigma`, `IntOpsForSigma`, and `LongOpsForSigma` classes define similar methods for converting Short, Int, and Long values to byte arrays and collections of Booleans. The `toBytes` methods return big-endian representations of the numeric values in collections of bytes, while the `toBits` methods are not implemented.\n\nThese extension methods may be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations. For example, the `toBytes` method for Long values could be used to convert a private key to a byte array for storage or transmission. The `toBits` method could be used to convert a numeric value to a collection of Booleans for use in a bitwise operation.\n\nOverall, this code provides a convenient way to convert numeric values to byte arrays and collections of Booleans, which are commonly used in cryptographic operations.", + "questions": "1. What is the purpose of the `Extensions` object?\n- The `Extensions` object defines extension methods for converting numeric types to collections of bytes and Booleans.\n\n2. What is the purpose of the `toBytes` method in each implicit class?\n- The `toBytes` method returns a big-endian representation of the numeric value in a collection of bytes.\n\n3. What is the purpose of the `toBits` method in each implicit class?\n- The `toBits` method is not implemented and its purpose is unclear from the provided code." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.json new file mode 100644 index 0000000000..fdf12eeabb --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.json @@ -0,0 +1,7 @@ +{ + "fileName": "Helpers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala", + "summary": "The `Helpers` object contains a set of utility functions that can be used across the project. \n\nThe `MutableCell` class is a helper class that encapsulates a mutable value. \n\nThe `xor` function takes two or more byte arrays and performs an XOR operation on them. The `xorU` function is similar to `xor`, but it performs an in-place update of the first argument. Both functions return the resulting byte array. \n\nThe `concatArrays` function concatenates two arrays into a new resulting array. All items of both arrays are copied to the result using `System.arraycopy`. \n\nThe `castArray` function casts an array of type `A` to an array of type `B`. \n\nThe `deepHashCode` function returns the hash code of an array. It is optimized for arrays of primitive types and arrays of objects. \n\nThe `safeIdHashCode` function returns the hash code of an array of bytes. It is optimized for arrays that represent some hash and have enough randomness. \n\nThe `TryOps` class provides additional methods for `Try` instances. The `fold` method takes two functions, one to handle the success case and one to handle the failure case. The `toEither` method converts a `Try` instance to an `Either` instance. The `mapOrThrow` method applies a function to the value of a `Try` instance and throws an exception if the `Try` instance is a failure. The `getOrThrow` method returns the value of a `Try` instance or throws an exception if the `Try` instance is a failure. \n\nThe `DecoderResultOps` class provides a `toTry` method that converts a `Decoder.Result` instance to a `Try` instance. \n\nThe `EitherOps` class provides a `mapRight` method that applies a function to the right value of an `Either` instance. \n\nThe `decodeGroupElement` function decodes a hex string into a byte array and then uses `SigmaDsl.decodePoint()` to construct a `GroupElement` instance. \n\nThe `decodeECPoint` function decodes a hex string into a `GroupElement` and then extracts the underlying `EcPointType` instance. \n\nThe `decodeBytes` function decodes a hex string into a collection of bytes. \n\nThe `Overloading` object contains three classes (`Overload1`, `Overload2`, and `Overload3`) and implicit values for each class. These can be used for overloading purposes.", + "questions": "1. What is the purpose of the `Helpers` object?\n- The `Helpers` object contains various helper functions for working with arrays, decoding hex strings, and converting between different data types.\n\n2. What is the purpose of the `Overloading` object?\n- The `Overloading` object defines three classes and creates implicit values for each of them. These values can be used for method overloading based on the type of the argument.\n\n3. What is the purpose of the `MutableCell` class?\n- The `MutableCell` class encapsulates a mutable value, which can be useful for passing around a reference to a mutable object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.json new file mode 100644 index 0000000000..552f906743 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaByteReader.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala", + "summary": "The `SigmaByteReader` class is a reader used in the concrete implementations of the `SigmaSerializer`. It decorates the given reader, delegates most of the methods to it, but also adds new methods. The purpose of this class is to read serialized data and deserialize it into Sigma types and values. \n\nThe class takes in a `Reader` object, which is the underlying reader this reader reads from, a `ConstantStore` object, which is the store of constants used to resolve `ConstantPlaceholder`, a `Boolean` flag `resolvePlaceholdersToConstants`, which if true then resolved constants will be substituted in the tree instead of the placeholder, and an `Int` `maxTreeDepth`, which is a limit on the tree depth (recursive invocations) of the deserializer.\n\nThe class has several methods that read different types of data from the serialized data, such as `getByte()`, `getShort()`, `getInt()`, `getLong()`, `getBytes(size: Int)`, `getBits(size: Int)`, `getOption[T](getValue: => T)`, `getType(): SType`, and `getValue(): SValue`. It also has a method `getValues()` that reads a sequence of values from the serialized data.\n\nThe class also has several helper properties and methods, such as `checkPositionLimit()`, which checks that the current reader position is <= positionLimit, `level` and `level_=` which are used to track the depth of nested value deserialization calls, `positionLimit` and `positionLimit_=` which set the limit on the reader position, `complexity` and `complexity_=` which are used to accumulate complexity during parsing, and `wasDeserialize` and `wasDeserialize_=` which are used to track deserialization operations during parsing.\n\nOverall, the `SigmaByteReader` class is an important component of the Sigma serialization and deserialization process, allowing serialized data to be read and deserialized into Sigma types and values.", + "questions": "1. What is the purpose of the `SigmaByteReader` class?\n- The `SigmaByteReader` class is a reader used in the concrete implementations of `SigmaSerializer` that decorates the given reader, delegates most of the methods to it, but also adds new methods.\n\n2. What is the significance of the `maxTreeDepth` parameter in the `SigmaByteReader` constructor?\n- The `maxTreeDepth` parameter is a limit on the tree depth (recursive invocations) of the deserializer.\n\n3. What is the purpose of the `getValues()` method in the `SigmaByteReader` class?\n- The `getValues()` method reads a sequence of values from the reader. It first reads the number of values and then reads each value using `getValue()` method." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.json new file mode 100644 index 0000000000..22d2363312 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaByteWriter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala", + "summary": "The SigmaByteWriter class is a utility class that provides methods for writing various data types to a Writer object. It is used in the larger project to serialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain.\n\nThe class takes a Writer object and an optional ConstantStore object as constructor arguments. The Writer object is used to write the serialized data, while the ConstantStore object is used to store constants that are referenced by the serialized data.\n\nThe class provides methods for writing various data types, including Byte, Boolean, Short, Int, Long, and arrays of Bytes. These methods take a value of the corresponding data type as an argument and write it to the Writer object. They also take an optional DataInfo object as an argument, which provides additional information about the data being written, such as its name and description.\n\nThe class also provides methods for writing SigmaState objects, including SType and SValue objects. These methods take a SigmaState object as an argument and use the appropriate serializer to write it to the Writer object.\n\nOverall, the SigmaByteWriter class is an important utility class in the larger project, as it provides a convenient way to serialize SigmaState objects for use in smart contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this class and what does it do?\n \n This class is a writer for serializing Sigma values into bytes. It provides methods for writing various data types and values, including SType and SValue, and can also handle constant extraction.\n\n2. What is the significance of the various marker types and format descriptors used in this code?\n \n The marker types and format descriptors are used to specify the format of the data being written and to ensure that the correct serialization method is used. For example, the ZigZag marker type is used to indicate that a value should be encoded using ZigZag encoding, while the UVlqFmt format descriptor is used to specify that an unsigned value should be encoded using variable-length quantity encoding.\n\n3. How does this class handle constant extraction and what is its purpose?\n \n This class takes an optional constant extraction store as a parameter, which allows it to extract and serialize constant values separately from other values. This can improve efficiency by reducing the amount of redundant data that needs to be serialized and transmitted." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.json new file mode 100644 index 0000000000..c545d0ba4c --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.json @@ -0,0 +1,7 @@ +{ + "fileName": "SparseArrayContainer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala", + "summary": "The `SparseArrayContainer` class is used to store values in a sparse array. The class takes a list of pairs (code, value) as input and builds an array with one item for each OpCode. The values are stored in the array at the index corresponding to their code. If there is no value for a given code, the array stores null at that index. \n\nThe `SparseArrayContainer` class provides three methods for accessing and modifying the values in the array. The `apply` method takes a code as input and returns the value stored at the corresponding index in the array. If there is no value for the given code, the method returns null. The `get` method is similar to `apply`, but it returns an `Option` instead of null. If there is a value for the given code, the method returns `Some(value)`. Otherwise, it returns `None`. The `add` method takes a code and a value as input and adds the value to the array at the index corresponding to the code. If there is already a value at that index, the method throws an exception. The `remove` method takes a code as input and removes the value stored at the corresponding index in the array. If there is no value for the given code, the method throws an exception.\n\nThe `SparseArrayContainer` class is used in the larger project to store values for different OpCodes. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode. This allows the project to easily access and modify the `ValueSerializer` objects for different OpCodes. \n\nExample usage:\n\n```\nval values = Seq((1.toByte, \"value1\"), (2.toByte, \"value2\"), (3.toByte, \"value3\"))\nval container = new SparseArrayContainer[String](values)\n\nval value1 = container(1.toByte) // returns \"value1\"\nval value2 = container.get(2.toByte) // returns Some(\"value2\")\nval value4 = container.get(4.toByte) // returns None\n\ncontainer.add(4.toByte, \"value4\")\nval value4New = container(4.toByte) // returns \"value4\"\n\ncontainer.remove(2.toByte)\nval value2New = container.get(2.toByte) // returns None\n```", + "questions": "1. What is the purpose of the `SparseArrayContainer` class?\n- The `SparseArrayContainer` class is used to store values in a sparse array, where each value is associated with a unique code.\n\n2. What is the significance of the `codeToIndex` method?\n- The `codeToIndex` method is used to convert a code value to an index in the sparse array. It adds 128 to the code value to ensure that it is non-negative and can be used as an index.\n\n3. What is the purpose of the `buildForSerializers` method in the `SparseArrayContainer` companion object?\n- The `buildForSerializers` method is used to create a new `SparseArrayContainer` instance from a sequence of `ValueSerializer` objects. It maps each serializer to a pair of its opcode and itself, and passes the resulting sequence to the `SparseArrayContainer` constructor." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/summary.json new file mode 100644 index 0000000000..5ec39a9f73 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils/summary.json @@ -0,0 +1,45 @@ +{ + "folderName": "utils", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils", + "files": [ + { + "fileName": "Extensions.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala", + "summary": "The code in this file defines extension methods for converting numeric types to byte arrays and collections of Booleans. These methods are defined as implicit classes, which allows them to be used as if they were part of the original numeric types.\n\nThe `ByteOpsForSigma` class defines two methods: `toBytes` and `toBits`. The `toBytes` method returns a big-endian representation of the Byte value in a collection of bytes. For example, the Byte value `0x12` would yield the byte array `{0x12}`. The `toBits` method is not implemented and is left as a TODO for future development.\n\nThe `ShortOpsForSigma`, `IntOpsForSigma`, and `LongOpsForSigma` classes define similar methods for converting Short, Int, and Long values to byte arrays and collections of Booleans. The `toBytes` methods return big-endian representations of the numeric values in collections of bytes, while the `toBits` methods are not implemented.\n\nThese extension methods may be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations. For example, the `toBytes` method for Long values could be used to convert a private key to a byte array for storage or transmission. The `toBits` method could be used to convert a numeric value to a collection of Booleans for use in a bitwise operation.\n\nOverall, this code provides a convenient way to convert numeric values to byte arrays and collections of Booleans, which are commonly used in cryptographic operations.", + "questions": "1. What is the purpose of the `Extensions` object?\n- The `Extensions` object defines extension methods for converting numeric types to collections of bytes and Booleans.\n\n2. What is the purpose of the `toBytes` method in each implicit class?\n- The `toBytes` method returns a big-endian representation of the numeric value in a collection of bytes.\n\n3. What is the purpose of the `toBits` method in each implicit class?\n- The `toBits` method is not implemented and its purpose is unclear from the provided code." + }, + { + "fileName": "Helpers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala", + "summary": "The `Helpers` object contains a set of utility functions that can be used across the project. \n\nThe `MutableCell` class is a helper class that encapsulates a mutable value. \n\nThe `xor` function takes two or more byte arrays and performs an XOR operation on them. The `xorU` function is similar to `xor`, but it performs an in-place update of the first argument. Both functions return the resulting byte array. \n\nThe `concatArrays` function concatenates two arrays into a new resulting array. All items of both arrays are copied to the result using `System.arraycopy`. \n\nThe `castArray` function casts an array of type `A` to an array of type `B`. \n\nThe `deepHashCode` function returns the hash code of an array. It is optimized for arrays of primitive types and arrays of objects. \n\nThe `safeIdHashCode` function returns the hash code of an array of bytes. It is optimized for arrays that represent some hash and have enough randomness. \n\nThe `TryOps` class provides additional methods for `Try` instances. The `fold` method takes two functions, one to handle the success case and one to handle the failure case. The `toEither` method converts a `Try` instance to an `Either` instance. The `mapOrThrow` method applies a function to the value of a `Try` instance and throws an exception if the `Try` instance is a failure. The `getOrThrow` method returns the value of a `Try` instance or throws an exception if the `Try` instance is a failure. \n\nThe `DecoderResultOps` class provides a `toTry` method that converts a `Decoder.Result` instance to a `Try` instance. \n\nThe `EitherOps` class provides a `mapRight` method that applies a function to the right value of an `Either` instance. \n\nThe `decodeGroupElement` function decodes a hex string into a byte array and then uses `SigmaDsl.decodePoint()` to construct a `GroupElement` instance. \n\nThe `decodeECPoint` function decodes a hex string into a `GroupElement` and then extracts the underlying `EcPointType` instance. \n\nThe `decodeBytes` function decodes a hex string into a collection of bytes. \n\nThe `Overloading` object contains three classes (`Overload1`, `Overload2`, and `Overload3`) and implicit values for each class. These can be used for overloading purposes.", + "questions": "1. What is the purpose of the `Helpers` object?\n- The `Helpers` object contains various helper functions for working with arrays, decoding hex strings, and converting between different data types.\n\n2. What is the purpose of the `Overloading` object?\n- The `Overloading` object defines three classes and creates implicit values for each of them. These values can be used for method overloading based on the type of the argument.\n\n3. What is the purpose of the `MutableCell` class?\n- The `MutableCell` class encapsulates a mutable value, which can be useful for passing around a reference to a mutable object." + }, + { + "fileName": "SigmaByteReader.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala", + "summary": "The `SigmaByteReader` class is a reader used in the concrete implementations of the `SigmaSerializer`. It decorates the given reader, delegates most of the methods to it, but also adds new methods. The purpose of this class is to read serialized data and deserialize it into Sigma types and values. \n\nThe class takes in a `Reader` object, which is the underlying reader this reader reads from, a `ConstantStore` object, which is the store of constants used to resolve `ConstantPlaceholder`, a `Boolean` flag `resolvePlaceholdersToConstants`, which if true then resolved constants will be substituted in the tree instead of the placeholder, and an `Int` `maxTreeDepth`, which is a limit on the tree depth (recursive invocations) of the deserializer.\n\nThe class has several methods that read different types of data from the serialized data, such as `getByte()`, `getShort()`, `getInt()`, `getLong()`, `getBytes(size: Int)`, `getBits(size: Int)`, `getOption[T](getValue: => T)`, `getType(): SType`, and `getValue(): SValue`. It also has a method `getValues()` that reads a sequence of values from the serialized data.\n\nThe class also has several helper properties and methods, such as `checkPositionLimit()`, which checks that the current reader position is <= positionLimit, `level` and `level_=` which are used to track the depth of nested value deserialization calls, `positionLimit` and `positionLimit_=` which set the limit on the reader position, `complexity` and `complexity_=` which are used to accumulate complexity during parsing, and `wasDeserialize` and `wasDeserialize_=` which are used to track deserialization operations during parsing.\n\nOverall, the `SigmaByteReader` class is an important component of the Sigma serialization and deserialization process, allowing serialized data to be read and deserialized into Sigma types and values.", + "questions": "1. What is the purpose of the `SigmaByteReader` class?\n- The `SigmaByteReader` class is a reader used in the concrete implementations of `SigmaSerializer` that decorates the given reader, delegates most of the methods to it, but also adds new methods.\n\n2. What is the significance of the `maxTreeDepth` parameter in the `SigmaByteReader` constructor?\n- The `maxTreeDepth` parameter is a limit on the tree depth (recursive invocations) of the deserializer.\n\n3. What is the purpose of the `getValues()` method in the `SigmaByteReader` class?\n- The `getValues()` method reads a sequence of values from the reader. It first reads the number of values and then reads each value using `getValue()` method." + }, + { + "fileName": "SigmaByteWriter.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala", + "summary": "The SigmaByteWriter class is a utility class that provides methods for writing various data types to a Writer object. It is used in the larger project to serialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain.\n\nThe class takes a Writer object and an optional ConstantStore object as constructor arguments. The Writer object is used to write the serialized data, while the ConstantStore object is used to store constants that are referenced by the serialized data.\n\nThe class provides methods for writing various data types, including Byte, Boolean, Short, Int, Long, and arrays of Bytes. These methods take a value of the corresponding data type as an argument and write it to the Writer object. They also take an optional DataInfo object as an argument, which provides additional information about the data being written, such as its name and description.\n\nThe class also provides methods for writing SigmaState objects, including SType and SValue objects. These methods take a SigmaState object as an argument and use the appropriate serializer to write it to the Writer object.\n\nOverall, the SigmaByteWriter class is an important utility class in the larger project, as it provides a convenient way to serialize SigmaState objects for use in smart contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this class and what does it do?\n \n This class is a writer for serializing Sigma values into bytes. It provides methods for writing various data types and values, including SType and SValue, and can also handle constant extraction.\n\n2. What is the significance of the various marker types and format descriptors used in this code?\n \n The marker types and format descriptors are used to specify the format of the data being written and to ensure that the correct serialization method is used. For example, the ZigZag marker type is used to indicate that a value should be encoded using ZigZag encoding, while the UVlqFmt format descriptor is used to specify that an unsigned value should be encoded using variable-length quantity encoding.\n\n3. How does this class handle constant extraction and what is its purpose?\n \n This class takes an optional constant extraction store as a parameter, which allows it to extract and serialize constant values separately from other values. This can improve efficiency by reducing the amount of redundant data that needs to be serialized and transmitted." + }, + { + "fileName": "SparseArrayContainer.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala", + "summary": "The `SparseArrayContainer` class is used to store values in a sparse array. The class takes a list of pairs (code, value) as input and builds an array with one item for each OpCode. The values are stored in the array at the index corresponding to their code. If there is no value for a given code, the array stores null at that index. \n\nThe `SparseArrayContainer` class provides three methods for accessing and modifying the values in the array. The `apply` method takes a code as input and returns the value stored at the corresponding index in the array. If there is no value for the given code, the method returns null. The `get` method is similar to `apply`, but it returns an `Option` instead of null. If there is a value for the given code, the method returns `Some(value)`. Otherwise, it returns `None`. The `add` method takes a code and a value as input and adds the value to the array at the index corresponding to the code. If there is already a value at that index, the method throws an exception. The `remove` method takes a code as input and removes the value stored at the corresponding index in the array. If there is no value for the given code, the method throws an exception.\n\nThe `SparseArrayContainer` class is used in the larger project to store values for different OpCodes. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode. This allows the project to easily access and modify the `ValueSerializer` objects for different OpCodes. \n\nExample usage:\n\n```\nval values = Seq((1.toByte, \"value1\"), (2.toByte, \"value2\"), (3.toByte, \"value3\"))\nval container = new SparseArrayContainer[String](values)\n\nval value1 = container(1.toByte) // returns \"value1\"\nval value2 = container.get(2.toByte) // returns Some(\"value2\")\nval value4 = container.get(4.toByte) // returns None\n\ncontainer.add(4.toByte, \"value4\")\nval value4New = container(4.toByte) // returns \"value4\"\n\ncontainer.remove(2.toByte)\nval value2New = container.get(2.toByte) // returns None\n```", + "questions": "1. What is the purpose of the `SparseArrayContainer` class?\n- The `SparseArrayContainer` class is used to store values in a sparse array, where each value is associated with a unique code.\n\n2. What is the significance of the `codeToIndex` method?\n- The `codeToIndex` method is used to convert a code value to an index in the sparse array. It adds 128 to the code value to ensure that it is non-negative and can be used as an index.\n\n3. What is the purpose of the `buildForSerializers` method in the `SparseArrayContainer` companion object?\n- The `buildForSerializers` method is used to create a new `SparseArrayContainer` instance from a sequence of `ValueSerializer` objects. It maps each serializer to a pair of its opcode and itself, and passes the resulting sequence to the `SparseArrayContainer` constructor." + } + ], + "folders": [], + "summary": "The code in this folder provides utility functions and classes for the larger project, focusing on serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans.\n\nFor example, the `Extensions.scala` file defines extension methods for converting numeric types (Byte, Short, Int, and Long) to byte arrays and collections of Booleans. These methods can be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations.\n\n```scala\nval num: Long = 123456789L\nval byteArray: Array[Byte] = num.toBytes\n```\n\nThe `Helpers.scala` file contains utility functions that can be used across the project, such as `xor` for XOR operations on byte arrays, `concatArrays` for concatenating arrays, and `decodeGroupElement` for decoding a hex string into a `GroupElement` instance.\n\n```scala\nval array1 = Array[Byte](1, 2, 3)\nval array2 = Array[Byte](4, 5, 6)\nval xorResult = Helpers.xor(array1, array2)\nval concatResult = Helpers.concatArrays(array1, array2)\n```\n\nThe `SigmaByteReader.scala` and `SigmaByteWriter.scala` files provide classes for reading and writing serialized data for Sigma types and values. These classes are used in the larger project to serialize and deserialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain.\n\n```scala\nval writer = new SigmaByteWriter(new DataWriter())\nval value: SValue = ...\nvalue.serialize(writer)\n\nval reader = new SigmaByteReader(new DataReader(writer.toByteArray))\nval deserializedValue: SValue = reader.getValue()\n```\n\nThe `SparseArrayContainer.scala` file provides a class for storing values in a sparse array, which can be used to store values for different OpCodes in the larger project. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode.\n\n```scala\nval serializers = Seq(ValueSerializer1, ValueSerializer2, ValueSerializer3)\nval container = SparseArrayContainer.buildForSerializers(serializers)\n\nval serializer1 = container(ValueSerializer1.opCode)\n```\n\nOverall, the code in this folder provides essential utility functions and classes for the larger project, enabling serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.json new file mode 100644 index 0000000000..a927152d3f --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.json @@ -0,0 +1,7 @@ +{ + "fileName": "ComplexityTable.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala", + "summary": "The `ComplexityTable` object in the `sigmastate.utxo` package is used to store the complexity values of various operations and method calls in the ErgoScript language. These complexity values are used to estimate the computational cost of executing a given ErgoScript, which is important for ensuring that scripts do not consume excessive resources during execution.\n\nThe `ComplexityTable` object contains two maps: `OpCodeComplexity` and `MethodCallComplexity`. The `OpCodeComplexity` map stores the complexity values for various operations, such as arithmetic, logical, and collection operations. The keys in this map are the operation codes (`OpCode`), and the values are the corresponding complexity values. The `MethodCallComplexity` map stores the complexity values for method calls on specific types, such as `AvlTree`, `SCollection`, and `Context`. The keys in this map are tuples of two bytes, where the first byte represents the type identifier and the second byte represents the method identifier. The values are the corresponding complexity values.\n\nFor example, the complexity of the `Fold` operation is 4034, and the complexity of the `AvlTree.update` method call is 3911. These values are used by the ErgoScript interpreter to estimate the total complexity of a given script, which can then be used to determine if the script is within acceptable resource limits for execution.\n\nHere's an example of how the complexity values might be used:\n\n```scala\nval scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum +\n script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum\nif (scriptComplexity > maxAllowedComplexity) {\n // Reject the script as too complex\n} else {\n // Execute the script\n}\n```\n\nIn this example, the complexity values for all operations and method calls in the script are summed up, and the total complexity is compared against a predefined maximum allowed complexity. If the script's complexity exceeds the maximum, it is rejected; otherwise, it is executed.", + "questions": "1. **Question**: What is the purpose of the `ComplexityTable` object in this code?\n **Answer**: The `ComplexityTable` object contains two maps, `OpCodeComplexity` and `MethodCallComplexity`, which store the complexity values for various opcodes and method calls used in the project. These values can be used to estimate the computational complexity of certain operations in the code.\n\n2. **Question**: How are the complexity values in the `OpCodeComplexity` and `MethodCallComplexity` maps determined?\n **Answer**: The complexity values in the maps are hard-coded and seem to be based on some pre-determined analysis or benchmarking of the operations. The comments next to each entry indicate the count of occurrences for each operation, which might have been used to calculate the complexity values.\n\n3. **Question**: What is the significance of the `MinimalComplexity` constant in the code?\n **Answer**: The `MinimalComplexity` constant is set to 100 and represents the minimum complexity value that can be assigned to an operation. This can be used as a baseline for comparing the complexity of different operations in the code." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.json new file mode 100644 index 0000000000..f02e016823 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.json @@ -0,0 +1,7 @@ +{ + "fileName": "ComplexityTableStat.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala", + "summary": "The `ComplexityTableStat` object contains methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. \n\nThe `StatItem` class is a private mutable class that stores the count and sum of execution times for a given operation. The `opStat` and `mcStat` mutable hash maps store the execution times for op codes and method calls, respectively. \n\nThe `addOpTime` method takes an op code and execution time as input and updates the corresponding `StatItem` in `opStat`. If the op code is not already in `opStat`, a new `StatItem` is created and added to the map. \n\nThe `addMcTime` method takes a type ID, method ID, and execution time as input and updates the corresponding `StatItem` in `mcStat`. If the type ID and method ID are not already in `mcStat`, a new `StatItem` is created and added to the map. \n\nThe `complexityTableString` method generates a string representation of the execution times for op codes and method calls. It first generates a list of tuples containing the op code or method call name, ID, average execution time, and count. It then sorts the list by execution time in descending order. \n\nThe method then generates two separate lists of strings, one for op codes and one for method calls. Each string in the list contains the name or ID of the op code or method call, the average execution time in microseconds, and the count of executions. \n\nThe final output is a string containing the two lists of op codes and method calls, separated by a line of dashes. \n\nThis code can be used to analyze the performance of different operations and method calls in the `sigmastate.utxo` package. By calling the `addOpTime` and `addMcTime` methods at various points in the code, developers can track the execution times of specific operations and method calls. The `complexityTableString` method can then be used to generate a report of the execution times, which can be used to identify performance bottlenecks and optimize the code. \n\nExample usage:\n\n```\n// track execution time of an op code\nval startTime = System.nanoTime()\n// execute op code\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addOpTime(opCode, elapsedTime)\n\n// track execution time of a method call\nval startTime = System.nanoTime()\n// call method\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addMcTime(typeId, methodId, elapsedTime)\n\n// generate report of execution times\nval report = ComplexityTableStat.complexityTableString\n```", + "questions": "1. What is the purpose of the `ComplexityTableStat` object?\n- The `ComplexityTableStat` object is used to collect and store timing statistics for op codes and method calls in the `sigmastate` package.\n\n2. What data structures are used to store the timing statistics?\n- The timing statistics for op codes and method calls are stored in mutable hash maps called `opStat` and `mcStat`, respectively.\n\n3. What is the output format of the `complexityTableString` method?\n- The `complexityTableString` method outputs a formatted string that displays the average execution time and count for each op code and method call, sorted by decreasing execution time. The op codes and method calls are displayed separately in two sections, each with their own header and divider lines." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/summary.json new file mode 100644 index 0000000000..c7ead6c611 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "utxo", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo", + "files": [ + { + "fileName": "ComplexityTable.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala", + "summary": "The `ComplexityTable` object in the `sigmastate.utxo` package is used to store the complexity values of various operations and method calls in the ErgoScript language. These complexity values are used to estimate the computational cost of executing a given ErgoScript, which is important for ensuring that scripts do not consume excessive resources during execution.\n\nThe `ComplexityTable` object contains two maps: `OpCodeComplexity` and `MethodCallComplexity`. The `OpCodeComplexity` map stores the complexity values for various operations, such as arithmetic, logical, and collection operations. The keys in this map are the operation codes (`OpCode`), and the values are the corresponding complexity values. The `MethodCallComplexity` map stores the complexity values for method calls on specific types, such as `AvlTree`, `SCollection`, and `Context`. The keys in this map are tuples of two bytes, where the first byte represents the type identifier and the second byte represents the method identifier. The values are the corresponding complexity values.\n\nFor example, the complexity of the `Fold` operation is 4034, and the complexity of the `AvlTree.update` method call is 3911. These values are used by the ErgoScript interpreter to estimate the total complexity of a given script, which can then be used to determine if the script is within acceptable resource limits for execution.\n\nHere's an example of how the complexity values might be used:\n\n```scala\nval scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum +\n script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum\nif (scriptComplexity > maxAllowedComplexity) {\n // Reject the script as too complex\n} else {\n // Execute the script\n}\n```\n\nIn this example, the complexity values for all operations and method calls in the script are summed up, and the total complexity is compared against a predefined maximum allowed complexity. If the script's complexity exceeds the maximum, it is rejected; otherwise, it is executed.", + "questions": "1. **Question**: What is the purpose of the `ComplexityTable` object in this code?\n **Answer**: The `ComplexityTable` object contains two maps, `OpCodeComplexity` and `MethodCallComplexity`, which store the complexity values for various opcodes and method calls used in the project. These values can be used to estimate the computational complexity of certain operations in the code.\n\n2. **Question**: How are the complexity values in the `OpCodeComplexity` and `MethodCallComplexity` maps determined?\n **Answer**: The complexity values in the maps are hard-coded and seem to be based on some pre-determined analysis or benchmarking of the operations. The comments next to each entry indicate the count of occurrences for each operation, which might have been used to calculate the complexity values.\n\n3. **Question**: What is the significance of the `MinimalComplexity` constant in the code?\n **Answer**: The `MinimalComplexity` constant is set to 100 and represents the minimum complexity value that can be assigned to an operation. This can be used as a baseline for comparing the complexity of different operations in the code." + }, + { + "fileName": "ComplexityTableStat.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala", + "summary": "The `ComplexityTableStat` object contains methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. \n\nThe `StatItem` class is a private mutable class that stores the count and sum of execution times for a given operation. The `opStat` and `mcStat` mutable hash maps store the execution times for op codes and method calls, respectively. \n\nThe `addOpTime` method takes an op code and execution time as input and updates the corresponding `StatItem` in `opStat`. If the op code is not already in `opStat`, a new `StatItem` is created and added to the map. \n\nThe `addMcTime` method takes a type ID, method ID, and execution time as input and updates the corresponding `StatItem` in `mcStat`. If the type ID and method ID are not already in `mcStat`, a new `StatItem` is created and added to the map. \n\nThe `complexityTableString` method generates a string representation of the execution times for op codes and method calls. It first generates a list of tuples containing the op code or method call name, ID, average execution time, and count. It then sorts the list by execution time in descending order. \n\nThe method then generates two separate lists of strings, one for op codes and one for method calls. Each string in the list contains the name or ID of the op code or method call, the average execution time in microseconds, and the count of executions. \n\nThe final output is a string containing the two lists of op codes and method calls, separated by a line of dashes. \n\nThis code can be used to analyze the performance of different operations and method calls in the `sigmastate.utxo` package. By calling the `addOpTime` and `addMcTime` methods at various points in the code, developers can track the execution times of specific operations and method calls. The `complexityTableString` method can then be used to generate a report of the execution times, which can be used to identify performance bottlenecks and optimize the code. \n\nExample usage:\n\n```\n// track execution time of an op code\nval startTime = System.nanoTime()\n// execute op code\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addOpTime(opCode, elapsedTime)\n\n// track execution time of a method call\nval startTime = System.nanoTime()\n// call method\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addMcTime(typeId, methodId, elapsedTime)\n\n// generate report of execution times\nval report = ComplexityTableStat.complexityTableString\n```", + "questions": "1. What is the purpose of the `ComplexityTableStat` object?\n- The `ComplexityTableStat` object is used to collect and store timing statistics for op codes and method calls in the `sigmastate` package.\n\n2. What data structures are used to store the timing statistics?\n- The timing statistics for op codes and method calls are stored in mutable hash maps called `opStat` and `mcStat`, respectively.\n\n3. What is the output format of the `complexityTableString` method?\n- The `complexityTableString` method outputs a formatted string that displays the average execution time and count for each op code and method call, sorted by decreasing execution time. The op codes and method calls are displayed separately in two sections, each with their own header and divider lines." + }, + { + "fileName": "transformers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala", + "summary": "This code is part of the SigmaState UTXO package and provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes.\n\nFor example, the `MapCollection` case class takes an input collection and a mapper function, and applies the function to each element of the collection, creating a new collection with the transformed elements. Similarly, the `Filter` case class takes an input collection and a condition function, and returns a new collection containing only the elements that satisfy the condition.\n\nOther transformers in this code include `Append`, `Slice`, `Exists`, `ForAll`, `Fold`, `ByIndex`, `SelectField`, `SigmaPropIsProven`, `SigmaPropBytes`, and various `Extract` operations for extracting specific fields from boxes, such as `ExtractAmount`, `ExtractScriptBytes`, `ExtractBytes`, `ExtractBytesWithNoRef`, `ExtractId`, and `ExtractCreationInfo`.\n\nAdditionally, there are operations for working with optional values, such as `OptionGet`, `OptionGetOrElse`, and `OptionIsDefined`, as well as operations for deserializing and working with context variables, like `DeserializeContext`, `DeserializeRegister`, and `GetVar`.\n\nThese transformers and operations are essential for processing and manipulating data within the Ergo platform, and they can be used in various parts of the project to perform complex data transformations and validations.", + "questions": "1. **What is the purpose of the `Transformer` trait?**\n\n The `Transformer` trait is used to represent operations that transform some input value of type `IV` into an output value of type `OV`. It is mainly used to simplify the implementation and avoid code duplication.\n\n2. **How does the `MapCollection` case class work?**\n\n The `MapCollection` case class represents an operation that applies a given function `mapper` to all elements of an input collection and returns a new collection with the results. It takes an input collection of type `SCollection[IV]` and a mapper function of type `SFunc`, and returns a new collection of type `SCollection[OV]`.\n\n3. **What is the purpose of the `BooleanTransformer` trait?**\n\n The `BooleanTransformer` trait is used to represent operations that transform a collection of values into a boolean value. It is a subtype of the `Transformer` trait and has an input of type `SCollection[IV]` and an output of type `SBoolean.type`. Examples of such operations are `Exists` and `ForAll`, which test whether a predicate holds for at least one element or all elements of a collection, respectively." + } + ], + "folders": [], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo` folder is part of the SigmaState UTXO package and is responsible for handling the complexity estimation and execution of ErgoScript operations and method calls, as well as providing a set of transformers and operations for manipulating data structures within the Ergo platform.\n\n`ComplexityTable.scala` contains the `ComplexityTable` object, which stores the complexity values of various operations and method calls in the ErgoScript language. These values are used to estimate the computational cost of executing a given ErgoScript, ensuring that scripts do not consume excessive resources during execution. For example:\n\n```scala\nval scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum +\n script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum\nif (scriptComplexity > maxAllowedComplexity) {\n // Reject the script as too complex\n} else {\n // Execute the script\n}\n```\n\n`ComplexityTableStat.scala` provides methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. Developers can use this code to analyze the performance of different operations and method calls, identify performance bottlenecks, and optimize the code. Example usage:\n\n```scala\n// track execution time of an op code\nval startTime = System.nanoTime()\n// execute op code\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addOpTime(opCode, elapsedTime)\n\n// track execution time of a method call\nval startTime = System.nanoTime()\n// call method\nval endTime = System.nanoTime()\nval elapsedTime = endTime - startTime\nComplexityTableStat.addMcTime(typeId, methodId, elapsedTime)\n\n// generate report of execution times\nval report = ComplexityTableStat.complexityTableString\n```\n\n`transformers.scala` provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes. For example:\n\n```scala\n// map a collection using a custom function\nval inputCollection: SCollection[Int] = ...\nval mapperFunction: SFunc = ...\nval mappedCollection = MapCollection(inputCollection, mapperFunction)\n\n// filter a collection based on a condition\nval inputCollection: SCollection[Int] = ...\nval conditionFunction: SFunc = ...\nval filteredCollection = Filter(inputCollection, conditionFunction)\n```\n\nThese transformers and operations are essential for processing and manipulating data within the Ergo platform and can be used in various parts of the project to perform complex data transformations and validations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.json new file mode 100644 index 0000000000..5a434fd743 --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.json @@ -0,0 +1,7 @@ +{ + "fileName": "transformers.scala", + "filePath": "interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala", + "summary": "This code is part of the SigmaState UTXO package and provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes.\n\nFor example, the `MapCollection` case class takes an input collection and a mapper function, and applies the function to each element of the collection, creating a new collection with the transformed elements. Similarly, the `Filter` case class takes an input collection and a condition function, and returns a new collection containing only the elements that satisfy the condition.\n\nOther transformers in this code include `Append`, `Slice`, `Exists`, `ForAll`, `Fold`, `ByIndex`, `SelectField`, `SigmaPropIsProven`, `SigmaPropBytes`, and various `Extract` operations for extracting specific fields from boxes, such as `ExtractAmount`, `ExtractScriptBytes`, `ExtractBytes`, `ExtractBytesWithNoRef`, `ExtractId`, and `ExtractCreationInfo`.\n\nAdditionally, there are operations for working with optional values, such as `OptionGet`, `OptionGetOrElse`, and `OptionIsDefined`, as well as operations for deserializing and working with context variables, like `DeserializeContext`, `DeserializeRegister`, and `GetVar`.\n\nThese transformers and operations are essential for processing and manipulating data within the Ergo platform, and they can be used in various parts of the project to perform complex data transformations and validations.", + "questions": "1. **What is the purpose of the `Transformer` trait?**\n\n The `Transformer` trait is used to represent operations that transform some input value of type `IV` into an output value of type `OV`. It is mainly used to simplify the implementation and avoid code duplication.\n\n2. **How does the `MapCollection` case class work?**\n\n The `MapCollection` case class represents an operation that applies a given function `mapper` to all elements of an input collection and returns a new collection with the results. It takes an input collection of type `SCollection[IV]` and a mapper function of type `SFunc`, and returns a new collection of type `SCollection[OV]`.\n\n3. **What is the purpose of the `BooleanTransformer` trait?**\n\n The `BooleanTransformer` trait is used to represent operations that transform a collection of values into a boolean value. It is a subtype of the `Transformer` trait and has an input of type `SCollection[IV]` and an output of type `SBoolean.type`. Examples of such operations are `Exists` and `ForAll`, which test whether a predicate holds for at least one element or all elements of a collection, respectively." +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/scala/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/scala/summary.json new file mode 100644 index 0000000000..1f22ccf77b --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/scala/summary.json @@ -0,0 +1,221 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/main/summary.json b/.autodoc/docs/json/interpreter/shared/src/main/summary.json new file mode 100644 index 0000000000..0efbc64dab --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/main/summary.json @@ -0,0 +1,231 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/src/summary.json b/.autodoc/docs/json/interpreter/shared/src/summary.json new file mode 100644 index 0000000000..49426eaa7a --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/src/summary.json @@ -0,0 +1,241 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/shared/summary.json b/.autodoc/docs/json/interpreter/shared/summary.json new file mode 100644 index 0000000000..b817c6ab4c --- /dev/null +++ b/.autodoc/docs/json/interpreter/shared/summary.json @@ -0,0 +1,251 @@ +{ + "folderName": "shared", + "folderPath": ".autodoc/docs/json/interpreter/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/interpreter/summary.json b/.autodoc/docs/json/interpreter/summary.json new file mode 100644 index 0000000000..cea392e60d --- /dev/null +++ b/.autodoc/docs/json/interpreter/summary.json @@ -0,0 +1,416 @@ +{ + "folderName": "interpreter", + "folderPath": ".autodoc/docs/json/interpreter", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/interpreter/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "Imported.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala", + "summary": "The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. \n\nThe `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve.\n\nThe `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key.\n\nThe `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity.\n\nThe `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`.\n\nOverall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "1. What is the purpose of this code and what problem does it solve?\n This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation.\n\n2. What external dependencies does this code have?\n This code depends on the \"sigmajs-crypto-facade\" library, which provides the implementation of the elliptic curve operations and other cryptographic functions.\n\n3. What is the expected input and output format for the functions in this code?\n The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. \n\nThe `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together.\n\nThe `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays.\n\nThe `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations.\n\nFinally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project.\n\nOverall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data.", + "questions": "1. What is the purpose of the `Platform` object?\n- The `Platform` object provides a JVM-specific implementation of various cryptographic methods.\n\n2. What is the purpose of the `Ecp` and `ECFieldElem` classes?\n- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase." + } + ], + "folders": [], + "summary": "The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src` folder, specifically in the `main` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/js/src` folder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.\n\nIn `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings.\n\nIn `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing.\n\nHere's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nOverall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js.", + "questions": "" + }, + { + "folderName": "jvm", + "folderPath": ".autodoc/docs/json/interpreter/jvm", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "crypto", + "folderPath": ".autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto", + "files": [ + { + "fileName": "CryptoContextJvm.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala", + "summary": "The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). \n\nThe class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. \n\nThe class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. \n\nThis class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. \n\nExample usage:\n\n```\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography.\n\n2. What external libraries or dependencies does this code rely on?\n This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class.\n\n3. What methods are available in the `CryptoContextJvm` class and what do they do?\n The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations." + }, + { + "fileName": "HmacSHA512.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala", + "summary": "The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. \n\nThe HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash.\n\nInternally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object.\n\nThe hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array.\n\nThis code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used:\n\n```\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\nThis code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string.", + "questions": "1. What is the purpose of this code?\n This code provides a function to hash data using the HmacSHA512 algorithm.\n\n2. What input parameters does the `hash` function take?\n The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes.\n\n3. What is the significance of the `private` keyword used in this code?\n The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object." + }, + { + "fileName": "Platform.scala", + "filePath": "interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala", + "summary": "The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations.\n\nThe file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project.\n\nThe file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification.\n\nThe file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations.\n\nFinally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type.\n\nOverall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the JVM specific implementation of crypto methods for the project.\n\n2. What external libraries or dependencies does this code use?\n- This code uses the Bouncy Castle library for cryptographic operations.\n\n3. What is the purpose of the `isCorrectType` method?\n- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class." + } + ], + "folders": [], + "summary": "The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm/src` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/interpreter/jvm` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nIn the `src` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`.\n\n`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example:\n\n```scala\nval x9params = // create an instance of X9ECParameters\nval cryptoContext = new CryptoContextJvm(x9params)\nval privateKey = // generate a private key using the cryptoContext\nval publicKey = // generate a public key using the cryptoContext\nval message = // create a message to sign\nval signature = // sign the message using the privateKey and cryptoContext\nval isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext\n```\n\n`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example:\n\n```scala\nval secretKey = \"mySecretKey\".getBytes(\"UTF-8\")\nval data = \"myData\".getBytes(\"UTF-8\")\nval hash = HmacSHA512.hash(secretKey, data)\nprintln(s\"Hash: ${hash.map(\"%02x\".format(_)).mkString}\")\n```\n\n`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor.\n\nIn summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" + }, + { + "folderName": "shared", + "folderPath": ".autodoc/docs/json/interpreter/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/interpreter/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoAddress.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala", + "summary": "The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters.\n\nThe `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address.\n\nThe `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes.\n\nThe `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`.\n\nExample usage:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThis code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations.", + "questions": "1. **Question**: What are the different address types supported by this code and their semantics?\n **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script.\n\n2. **Question**: How does the code ensure the integrity of an address?\n **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address.\n\n3. **Question**: What are the possible network types and their corresponding prefix values?\n **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10." + }, + { + "fileName": "ErgoBox.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala", + "summary": "# ErgoBox Class\n\nThe `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. \n\nIn Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage.\n\nA transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box.\n\nThe `ErgoBox` class has the following fields:\n- `value`: amount of money associated with the box\n- `ergoTree`: guarding script, which should be evaluated to true in order to open this box\n- `additionalTokens`: secondary tokens the box contains\n- `additionalRegisters`: additional registers the box can carry over\n- `transactionId`: id of transaction which created the box\n- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1)\n- `creationHeight`: height when a transaction containing the box was created.\n\nThe class has the following methods:\n- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found.\n- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index).\n- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box.\n- `hashCode()`: returns the hash code of the box id.\n- `toString()`: returns a string representation of the box.\n\nThe `ErgoBox` class also has several companion objects:\n- `BoxId`: a type alias for `ADKey`, which is the type of the box id.\n- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id.\n- `Token`: a tuple of a token id and a long value.\n- `MaxBoxSize`: the maximum size of a box.\n- `STokenType`: the type of a token.\n- `STokensRegType`: the type of the register containing additional tokens.\n- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created.\n- `Amount`: a type alias for `Long`, which is the type of the box value.\n- `RegisterId`: a trait representing a register identifier.\n- `MandatoryRegisterId`: a trait representing a mandatory register identifier.\n- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier.\n- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers.\n- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers.\n- `MaxTokens`: the maximum number of tokens that can be stored in a box.\n- `maxRegisters`: the maximum number of registers that can be stored in a box.\n- `mandatoryRegisters`: a sequence of mandatory register identifiers.\n- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers.\n- `startingNonMandatoryIndex`: the index of the first non-mandatory register.\n- `allRegisters`: a sequence of all register identifiers.\n- `registerByName`: a map from register name to register identifier.\n- `registerByIndex(index: Int)`: returns the register identifier with the given index.\n- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range.\n- `sigmaSerializer`: a serializer for `ErgoBox`.", + "questions": "1. What is the purpose of the `ErgoBox` class?\n- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers.\n\n2. What are the mandatory and non-mandatory registers in an `ErgoBox`?\n- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`.\n\n3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object?\n- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively." + }, + { + "fileName": "ErgoBoxAssets.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala", + "summary": "This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. \n\nThe ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. \n\nThis code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. \n\nFor example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code:\n\n```\nval box = ErgoBoxAssetsHolder(100)\n```\n\nTo create a new ErgoBox with a value of 50 and a token with a modifier ID of \"abc\" and a quantity of 10, a developer could use the following code:\n\n```\nval tokens = Map(ModifierId(\"abc\") -> 10)\nval box = ErgoBoxAssetsHolder(50, tokens)\n```\n\nOverall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform.", + "questions": "1. What is the purpose of the ErgoBoxAssets trait?\n The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts.\n\n2. What is the purpose of the ErgoBoxAssetsHolder case class?\n The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts.\n\n3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object?\n The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts." + }, + { + "fileName": "ErgoBoxCandidate.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala", + "summary": "# ErgoBoxCandidate\n\nThe `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. \n\nThe class has the following fields:\n- `value`: the amount of money associated with the box.\n- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box.\n- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box.\n- `additionalTokens`: secondary tokens the box contains.\n- `additionalRegisters`: additional registers the box can carry over.\n\nThe `ErgoBoxCandidate` class has several methods:\n- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set.\n- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`.\n- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index).\n- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data.\n- `get(identifier: RegisterId)`: extracts register by ID.\n\nThe `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus.\n\nThe `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object.\n\nThe `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid.", + "questions": "1. What is the purpose of the `ErgoBoxCandidate` class?\n- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation.\n\n2. What is the `proposition` method used for?\n- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box.\n\n3. What is the purpose of the `tokens` method?\n- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus." + }, + { + "fileName": "ErgoLikeContext.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala", + "summary": "The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript.\n\nThe `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process.\n\nAdditionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution.\n\nFor example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`.\n\nOverall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process.", + "questions": "1. **What is the purpose of the `ErgoLikeContext` class?**\n\n The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction.\n\n2. **What are the main components of the `ErgoLikeContext` class?**\n\n The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion.\n\n3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?**\n\n The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`." + }, + { + "fileName": "ErgoLikeInterpreter.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala", + "summary": "The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. \n\nThe SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers.\n\nThe substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object.\n\nThe method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None.\n\nIf the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method.\n\nOverall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers.", + "questions": "1. What is the purpose of this code?\n \n This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext.\n\n2. What other classes does this code interact with?\n \n This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class.\n\n3. What is the significance of the override keyword used in this code?\n \n The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter." + }, + { + "fileName": "ErgoLikeTransaction.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala", + "summary": "This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. \n\nThe `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage.\n\nThe `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`.\n\nThe `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. \n\nOverall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions.", + "questions": "1. What is the purpose of the `ErgoBoxReader` trait?\n- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID.\n\n2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`?\n- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs.\n\n3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`?\n- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs." + }, + { + "fileName": "ErgoTreePredef.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala", + "summary": "The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios.\n\nThe `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent.\n\nThe `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one.\n\nThe `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided.\n\nThe `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain.\n\nThe `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules.\n\nThe `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`.\n\nThe `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent.\n\nOverall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent.", + "questions": "1. What is the purpose of the `ErgoTreePredef` object?\n- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`.\n\n2. What is the purpose of the `expectedMinerOutScriptBytesVal` function?\n- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script.\n\n3. What is the purpose of the `foundationScript` function?\n- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members." + }, + { + "fileName": "Input.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala", + "summary": "This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. \n\nDataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId.\n\nUnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId.\n\nThe Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId.\n\nThe object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object.\n\nThese classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code:\n\n```\nval boxId: BoxId = ???\nval spendingProof: ProverResult = ???\nval input = Input(boxId, spendingProof)\n```", + "questions": "1. What is the purpose of the `DataInput` class?\n \n The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context.\n\n2. What is the difference between `UnsignedInput` and `Input` classes?\n \n `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness.\n\n3. What is the purpose of the `Input.serializer` object?\n \n The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`." + }, + { + "fileName": "SigmaConstants.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala", + "summary": "The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. \n\nThe `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. \n\nThe `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of \"Box size should not be greater than provided value\". \n\nThe `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. \n\nThis code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. \n\nOverall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project.", + "questions": "1. What is the purpose of the `SizeConstant` case class?\n- The `SizeConstant` case class is used to define constants with a value, an ID, and a description.\n\n2. What is the purpose of the `SigmaConstants` object?\n- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description.\n\n3. What is the purpose of the `ConstTable` sequence?\n- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "AvlTreeHelpers.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala", + "summary": "The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way.\n\nThe `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nOverall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function:\n\n```\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```", + "questions": "1. What is the purpose of this code?\n - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL.\n2. What are the inputs and outputs of the `createAvlTree` function?\n - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object.\n3. What are the `implicit class`es defined in this code and what do they do?\n - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively." + } + ], + "folders": [], + "summary": "The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications.\n\nThe main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree.\n\nThe `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object.\n\nThe `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree.\n\nHere is an example usage of the `createAvlTree` function:\n\n```scala\nimport org.ergoplatform.dsl.AvlTreeHelpers._\n\n// create an authenticated AVL tree with insert and update operations allowed\nval (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed,\n (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)),\n (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12))\n)\n\n// insert a new key-value pair into the tree\nval newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18))\nprover.performOneOperation(Insert(newEntry._1, newEntry._2))\n\n// generate a proof of inclusion for the tree\nval proof = prover.generateProof()\n```\n\nIn summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications.", + "questions": "" + }, + { + "folderName": "mining", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining", + "files": [], + "folders": [ + { + "folderName": "emission", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission", + "files": [ + { + "fileName": "EmissionRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala", + "summary": "The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. \n\nThe `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. \n\nThe `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. \n\nThe `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. \n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. \n\nOverall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "1. What is the purpose of the `EmissionRules` class?\n- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height.\n\n2. What are the main properties of the Ergo coin emission curve on the mainnet?\n- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total.\n\n3. What is the purpose of the `remainingFoundationRewardAtHeight` method?\n- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period." + } + ], + "folders": [], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + } + ], + "summary": "The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network.\n\nThe `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`.\n\nThe class provides several methods for calculating coin issuance and rewards at a given height on the blockchain:\n\n- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain.\n- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that.\n\nThe `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg.\n\nFor example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method:\n\n```scala\nval emissionRules = new EmissionRules(monetarySettings)\nval height = 1000\nval minersReward = emissionRules.minersRewardAtHeight(height)\n```\n\nIn summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings", + "files": [ + { + "fileName": "ErgoAlgos.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala", + "summary": "The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain.\n\nThe ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function.\n\nThe hash function is then assigned to a val called \"hash\". This val can be used to hash data using the Blake2b256 hash function.\n\nThe ErgoAlgos trait also provides two encoding methods: \"encode\" and \"encodeUnsafe\". The \"encode\" method takes an array of bytes and returns a string representation of the encoded bytes. The \"encodeUnsafe\" method is similar to \"encode\", but it returns the encoded bytes as an array of bytes instead of a string.\n\nThe ErgoAlgos trait also provides a decoding method called \"decode\". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The \"decodeUnsafe\" method is similar to \"decode\", but it returns the decoded bytes as an array of bytes instead of a Try object.\n\nFinally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait.\n\nOverall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain.", + "questions": "1. What is the purpose of the ErgoAlgos trait?\n The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function.\n\n2. What is the HF type alias used for?\n The HF type alias is used to define the type of the hash function as Blake2b256.\n\n3. What is the purpose of the ErgoAlgos object?\n The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project." + }, + { + "fileName": "MonetarySettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala", + "summary": "The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. \n\nThe fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain.\n\nThe MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box.\n\nThis configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. \n\nOverall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy.", + "questions": "1. What is the purpose of this code file?\n- This code file contains the configuration for monetary settings of the Ergo chain.\n\n2. What are the default values for the monetary settings?\n- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10.\n\n3. What are the ErgoTree objects being created in this code?\n- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`.\n\n`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example:\n\n```scala\nval data: Array[Byte] = ...\nval hashedData: Array[Byte] = ErgoAlgos.hash(data)\nval encodedData: String = ErgoAlgos.encode(hashedData)\nval decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData)\n```\n\n`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example:\n\n```scala\nval monetarySettings: MonetarySettings = ...\nval feeProposition: ErgoTree = monetarySettings.feeProposition\nval emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition\nval foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition\n```\n\nIn summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain.", + "questions": "" + }, + { + "folderName": "validation", + "folderPath": ".autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation", + "files": [ + { + "fileName": "RuleStatus.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala", + "summary": "The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. \n\nThe `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`.\n\nThe `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`.\n\nThe `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status.\n\nThe `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances.\n\nThese classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system.", + "questions": "1. What is the purpose of the RuleStatus trait and its subclasses?\n- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions.\n\n2. What is the difference between DisabledRule and ReplacedRule?\n- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time.\n\n3. What is the purpose of the ChangedRule class and its methods?\n- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule." + }, + { + "fileName": "RuleStatusSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala", + "summary": "The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database.\n\nThe RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object.\n\nThe RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object.\n\nThe RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object.\n\nThe RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object.\n\nOverall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes.", + "questions": "1. What is the purpose of the `RuleStatusSerializer` object?\n- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects.\n\n2. What is the format for `RuleStatuses`?\n- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value.\n\n3. What is the significance of the `FirstRuleId` constant?\n- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method." + }, + { + "fileName": "SigmaValidationSettings.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala", + "summary": "The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. \n\nThe `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. \n\nOlder versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. \n\nThe status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. \n\nEach rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. \n\nThe `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. \n\nOverall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility.", + "questions": "1. What is the purpose of the `ValidationRule` class and how is it used in this code?\n \n The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method.\n\n2. How are rule statuses represented and updated in this code?\n \n Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored.\n\n3. What is the purpose of the `isSoftFork` method and how is it used in this code?\n \n The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition." + }, + { + "fileName": "SigmaValidationSettingsSerializer.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala", + "summary": "The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule.\n\nThe `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves.\n\nThe `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned.\n\nOverall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules).", + "questions": "1. What is the purpose of this code?\n \n This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order.\n\n2. What is the significance of the `RuleStatusSerializer` object?\n \n The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class.\n\n3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method?\n \n The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object." + }, + { + "fileName": "SoftForkChecker.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala", + "summary": "This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. \n\nThe `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \n\nThe `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. \n\nThe `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. \n\nOverall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used:\n\n```\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\nif (isSoftFork) {\n // handle soft-fork condition\n} else {\n // continue with normal validation\n}\n```", + "questions": "1. What is the purpose of the SoftForkChecker trait?\n - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions.\n\n2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits?\n - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section.\n\n3. What is the input and output of the isSoftFork method?\n - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition." + }, + { + "fileName": "ValidationRules.scala", + "filePath": "interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala", + "summary": "The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus.\n\nThe `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule.\n\nThe `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception).\n\nThe `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability.\n\nThe `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown.\n\nIn the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nThis helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to.", + "questions": "1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code?\n **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated.\n\n2. **Question**: How does the `trySoftForkable` function work and when should it be used?\n **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`.\n\n3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work?\n **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked." + } + ], + "folders": [], + "summary": "The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain.\n\nThe `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions:\n\n```scala\nval replacedRule = ReplacedRule(newRuleId)\n```\n\nThe `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects:\n\n```scala\nval serializedStatus = RuleStatusSerializer.serialize(status, writer)\nval deserializedStatus = RuleStatusSerializer.parse(reader)\n```\n\nThe `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility:\n\n```scala\nval rule = ValidationRules.CheckDeserializedScriptType\nval isSoftFork = rule.isSoftFork(vs, rule.id, status, args)\n```\n\nThe `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network:\n\n```scala\nval serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer)\nval deserializedSettings = SigmaValidationSettingsSerializer.parse(reader)\n```\n\nThe `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol:\n\n```scala\nval checker: SoftForkChecker = new SoftForkWhenReplaced()\nval isSoftFork = checker.isSoftFork(vs, ruleId, status, args)\n```\n\nThe `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution:\n\n```scala\nValidationRules.CheckDeserializedScriptType(d, script)\n```\n\nOverall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.", + "questions": "" + } + ], + "summary": "The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and", + "questions": "" + } + ], + "summary": "The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared/src` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter/shared` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules.\n\nFor example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses:\n\n```scala\nimplicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix)\n\nval p2pkAddress = P2PKAddress(pubkey)\nval p2shAddress = Pay2SHAddress(script)\nval p2sAddress = Pay2SAddress(script)\n\nval p2pkStr = encoder.toString(p2pkAddress)\nval p2shStr = encoder.toString(p2shAddress)\nval p2sStr = encoder.toString(p2sAddress)\n\nval decodedP2pk = encoder.fromString(p2pkStr)\nval decodedP2sh = encoder.fromString(p2shStr)\nval decodedP2s = encoder.fromString(p2sStr)\n```\n\nThe `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`.\n\nThe `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process.\n\nThe `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain:\n\n```scala\nval unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates)\nval signedTx = unsignedTx.toSigned(proverResults)\n```\n\nThe `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/interpreter` folder is essential for handling various aspects of the Ergo blockchain platform. It provides cryptographic functions, data structures, and validation rules for working with the Ergo blockchain. The folder is organized into three subfolders: `js`, `jvm`, and `shared`.\n\nThe `js` subfolder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. Here's an example of how this code might be used:\n\n```scala\nimport sigmastate.crypto._\n\n// Create a new cryptographic context\nval cryptoContext = CryptoFacadeJs.createCryptoContext()\n\n// Get the generator point of the elliptic curve\nval generator = cryptoContext.getGenerator()\n\n// Multiply the generator point by a scalar\nval scalar = BigInt(\"1234567890\")\nval result = CryptoFacadeJs.multiplyPoint(generator, scalar)\n\n// Add two points together\nval point1 = cryptoContext.decodePoint(\"abcdef\")\nval point2 = cryptoContext.decodePoint(\"123456\")\nval sum = CryptoFacadeJs.addPoint(point1, point2)\n\n// Check if a point is the point at infinity\nval isInfinity = CryptoFacadeJs.isInfinityPoint(sum)\n\n// Perform HMAC-SHA512 hashing\nval data = utils.hexToBytes(\"abcdef\")\nval key = utils.hexToBytes(\"123456\")\nval hash = CryptoFacadeJs.hashHmacSHA512(data, key)\n```\n\nThe `jvm` subfolder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.\n\nThe `shared` subfolder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network. The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform.\n\nIn summary, the code in the `.autodoc/docs/json/interpreter` folder provides a set of cryptographic functions, data structures, and validation rules for working with the Ergo blockchain platform. These components can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/jest.config.json b/.autodoc/docs/json/jest.config.json new file mode 100644 index 0000000000..d8a849f02a --- /dev/null +++ b/.autodoc/docs/json/jest.config.json @@ -0,0 +1,7 @@ +{ + "fileName": "jest.config.js", + "filePath": "jest.config.js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/jest.config.js", + "summary": "This code exports an object with several properties that configure the behavior of a testing framework. The `collectCoverage` property is a boolean that determines whether or not code coverage information should be collected during testing. If set to `true`, the framework will track which lines of code are executed during testing and generate a report showing how much of the codebase was covered. If set to `false`, no coverage information will be collected.\n\nThe `coverageProvider` property specifies which coverage analysis tool to use. In this case, it is set to \"v8\", which is the default coverage provider for Node.js. Other options include \"babel\" and \"babel-jest\", which are used for code written in the Babel transpiler.\n\nThe `moduleDirectories` property is an array of directories to search for modules when importing them in test files. By default, the framework will look in the `node_modules` directory, but this property allows for additional directories to be searched.\n\nThe `testMatch` property is an array of file patterns that determine which files should be considered test files. The patterns use glob syntax and include both `.js` and `.jsx` file extensions. The patterns include files located in the `__tests__` directory as well as files with names that end in \"spec\" or \"test\".\n\nOverall, this code provides configuration options for a testing framework, allowing developers to customize how tests are run and what information is collected during testing. It can be used in conjunction with other testing tools and libraries to create a comprehensive testing suite for a project. Here is an example of how this code might be used in a larger project:\n\n```\nconst jestConfig = require('./jest.config');\n\nmodule.exports = {\n ...jestConfig,\n collectCoverage: true,\n coverageThreshold: {\n global: {\n branches: 80,\n functions: 80,\n lines: 80,\n statements: 80,\n },\n },\n};\n```\n\nIn this example, the `jestConfig` object is imported from the file containing the code we just analyzed. The object is then spread into a new object, allowing us to modify some of its properties. In this case, we set `collectCoverage` to `true` and define a coverage threshold that must be met for the tests to pass. This modified configuration object is then exported and used by the testing framework to run tests and generate coverage reports.", + "questions": "1. What is the purpose of this module and how is it used in the project?\n This module exports an object with configuration options for testing, including coverage settings and test file patterns. It is likely used by a testing framework or tool in the project.\n\n2. What does the `collectCoverage` option do and why is it set to `false`?\n The `collectCoverage` option determines whether code coverage information should be collected during testing. In this case, it is set to `false`, indicating that coverage information should not be collected.\n\n3. What is the significance of the `moduleDirectories` option?\n The `moduleDirectories` option specifies directories to search for modules when importing them in test files. In this case, it only includes the `node_modules` directory, indicating that modules should only be searched for there." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.json new file mode 100644 index 0000000000..5651db9376 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/Types.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/Types.json new file mode 100644 index 0000000000..61b9352f0b --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/Types.json @@ -0,0 +1,7 @@ +{ + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/summary.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/summary.json new file mode 100644 index 0000000000..e2f393b52d --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/summary.json @@ -0,0 +1,70 @@ +{ + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.json new file mode 100644 index 0000000000..225697d030 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.json @@ -0,0 +1,7 @@ +{ + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.json new file mode 100644 index 0000000000..d99a99e45c --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.json @@ -0,0 +1,7 @@ +{ + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.json new file mode 100644 index 0000000000..34ff30e367 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.json @@ -0,0 +1,7 @@ +{ + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.json new file mode 100644 index 0000000000..dba8c2f6c8 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.json @@ -0,0 +1,7 @@ +{ + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.json new file mode 100644 index 0000000000..f0121d5fe6 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.json @@ -0,0 +1,7 @@ +{ + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.json new file mode 100644 index 0000000000..3eed5c10d9 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.json @@ -0,0 +1,45 @@ +{ + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/summary.json b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/summary.json new file mode 100644 index 0000000000..84a0570d8e --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/summary.json @@ -0,0 +1,80 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/scala/summary.json b/.autodoc/docs/json/parsers/shared/src/main/scala/summary.json new file mode 100644 index 0000000000..24f1d75c39 --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/scala/summary.json @@ -0,0 +1,90 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/main/summary.json b/.autodoc/docs/json/parsers/shared/src/main/summary.json new file mode 100644 index 0000000000..d21370986e --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/main/summary.json @@ -0,0 +1,100 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/src/summary.json b/.autodoc/docs/json/parsers/shared/src/summary.json new file mode 100644 index 0000000000..9fdec63e5a --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/src/summary.json @@ -0,0 +1,110 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/parsers/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src` folder plays a crucial role in parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/shared/summary.json b/.autodoc/docs/json/parsers/shared/summary.json new file mode 100644 index 0000000000..ea5b8ae99b --- /dev/null +++ b/.autodoc/docs/json/parsers/shared/summary.json @@ -0,0 +1,120 @@ +{ + "folderName": "shared", + "folderPath": ".autodoc/docs/json/parsers/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/parsers/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src` folder plays a crucial role in parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared` folder is essential for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/parsers/summary.json b/.autodoc/docs/json/parsers/summary.json new file mode 100644 index 0000000000..eb571560b8 --- /dev/null +++ b/.autodoc/docs/json/parsers/summary.json @@ -0,0 +1,130 @@ +{ + "folderName": "parsers", + "folderPath": ".autodoc/docs/json/parsers", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers", + "files": [], + "folders": [ + { + "folderName": "shared", + "folderPath": ".autodoc/docs/json/parsers/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/parsers/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate", + "files": [], + "folders": [ + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaParser.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala", + "summary": "# SigmaParser Code Explanation\n\nThe `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. \n\nThe `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages.\n\nThe `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes.\n\nThe `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index.\n\nThe `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait.\n\nThe `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands.\n\nThe `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object.\n\nThe `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression.\n\nOverall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. \n\nExample usage:\n\n```\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```", + "questions": "1. What is the purpose of the `SigmaParser` object?\n- The `SigmaParser` object is the main facade to ErgoScript parser implementation.\n\n2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods?\n- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`.\n\n3. What is the purpose of the `parseType` method?\n- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`." + }, + { + "fileName": "Types.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala", + "summary": "## Code Explanation: Types.scala\n\nThe `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language.\n\nThe trait defines the following parsers:\n\n- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR.\n- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`.\n- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`.\n- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`.\n- `Type`: Parses a type expression and returns an instance of `SType`.\n- `InfixType`: Parses an infix type expression and returns an instance of `SType`.\n- `CompoundType`: Parses a compound type expression and returns an instance of `SType`.\n- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`.\n- `TypeId`: Parses a type identifier and returns an instance of `SType`.\n- `TypeArgs`: Parses type arguments and returns an instance of `SType`.\n- `SimpleType`: Parses a simple type expression and returns an instance of `SType`.\n- `FunSig`: Parses a function signature and returns a sequence of function arguments.\n- `DottyExtMethodSubj`: Parses an extension method subject.\n- `Annot`: Parses an annotation with optional arguments.\n\nThe trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name.\n\nThe `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. \n\nExample usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```", + "questions": "1. What is the purpose of the `Types` trait?\n- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR.\n\n2. What is the `predefTypes` map used for?\n- The `predefTypes` map is used to lookup pre-defined types by name.\n\n3. What is the purpose of the `InfixType` parser?\n- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object." + } + ], + "folders": [ + { + "folderName": "syntax", + "folderPath": ".autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax", + "files": [ + { + "fileName": "Basic.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala", + "summary": "The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain.\n\nThe `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters.\n\nThe `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter.\n\nThe `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing.\n\nThe `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately.\n\nOverall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain.", + "questions": "1. What is the purpose of this code file?\n- This code file contains basic lexical parsers for ErgoScript.\n\n2. What are some examples of characters allowed in identifiers and operations?\n- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols.\n\n3. What is the purpose of the ParserException class?\n- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor." + }, + { + "fileName": "Core.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala", + "summary": "The code provided is a part of the Sigmastate project and defines a trait called \"Core\". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. \n\nThe trait contains two methods, \"mkUnaryOp\" and \"mkBinaryOp\", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. \n\nThe trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword \"type\" is aliased as \"type[_:P]\", and the symbol \"=>\" is aliased as \"`=>`[_:P]\". \n\nThe trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser \"Id[_:P]\" parses an identifier, and the parser \"ExprLiteral[_:P]\" parses an expression literal. \n\nOverall, the \"Core\" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the \"mkUnaryOp\" method might be used in the larger project:\n\n```\nval opName = \"NOT\"\nval arg = builder.mkIdent(\"x\", SBoolean)\nval result = mkUnaryOp(opName, arg)\n```\n\nThis code constructs a unary operation with the name \"NOT\" and the argument \"x\" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions.", + "questions": "1. What is the purpose of the `Core` trait?\n- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations.\n\n2. What is the purpose of the `PostDotCheck` method?\n- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal.\n\n3. What is the purpose of the `StableId` method?\n- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program." + }, + { + "fileName": "Exprs.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala", + "summary": "This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits.\n\nThe `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions.\n\nThe code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`.\n\nAn example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation.\n\nHere's an example of how the `Expr` parser can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.", + "questions": "1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`?\n **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context.\n\n2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree?\n **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack.\n\n3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code?\n **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction." + }, + { + "fileName": "Identifiers.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala", + "summary": "The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. \n\nThe `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks.\n\nThe `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. \n\nOverall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. \n\nExample usage:\n```\nimport fastparse._\nimport sigmastate.lang.syntax.Identifiers._\n\nval result = parse(\"x + y\", PlainId(_))\n// result: Parsed.Success[Unit] = Success((), 5)\n\nval result2 = parse(\"if (x > y) then x else y\", Keywords(_))\n// result2: Parsed.Failure = Failure(\"if (x > y) then x else y\", 0)\n```", + "questions": "1. What is the purpose of the `Identifiers` object?\n- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language.\n\n2. What is the difference between `VarId` and `PlainId`?\n- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator.\n\n3. What is the purpose of the `NamedFunction` case class?\n- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value." + }, + { + "fileName": "Literals.scala", + "filePath": "parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala", + "summary": "## Code Explanation: sigmastate.lang.syntax.Literals\n\nThe `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments.\n\nThe trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index.\n\nThe `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma.\n\nThe `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals.\n\nThe `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings.\n\nOverall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language.", + "questions": "1. What is the purpose of the `Literals` object?\n- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings.\n\n2. What is the role of the `SigmaBuilder` instance in this code?\n- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions.\n\n3. What is the difference between `WL` and `WS` in this code?\n- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST).\n\n`Core.scala` defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n\n`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions.\n\n`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords.\n\n`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments.\n\nHere's an example of how the `Expr` parser from `Exprs.scala` can be used:\n\n```scala\nval input = \"if (x > 0) x * 2 else x / 2\"\nval parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n```\n\nThis code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language.\n\n`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\n`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `syntax` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared/src` folder plays a crucial role in parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/parsers/shared` folder is essential for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/parsers` folder contains essential code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively.\n\nFor example, to parse a simple ErgoScript expression, you can use the following code:\n\n```scala\nval code = \"1 + 2\"\nval parsed = SigmaParser(code)\nval tree = parsed.get.value\n```\n\nThe `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage:\n\n```scala\nval input = \"Int => Boolean\"\nval result = parse(input, Type(_))\nresult.get // returns SFunc(Array(SInt), SBoolean)\n```\n\nThe `shared/lang` subfolder contains several files for parsing ErgoScript:\n\n- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords.\n- `Core.scala`: Defines a trait called \"Core\" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations.\n- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage:\n\n ```scala\n val input = \"if (x > 0) x * 2 else x / 2\"\n val parsedExpr = fastparse.parse(input, Exprs.Expr(_))\n ```\n\n- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language.\n- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language.\n\nOverall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/profile-sbt.json b/.autodoc/docs/json/profile-sbt.json new file mode 100644 index 0000000000..09c17bd06e --- /dev/null +++ b/.autodoc/docs/json/profile-sbt.json @@ -0,0 +1,7 @@ +{ + "fileName": "profile-sbt.sh", + "filePath": "profile-sbt.sh", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/profile-sbt.sh", + "summary": "This code is a command that is used to run the Simple Build Tool (sbt) with a Java profiler called YourKit. The purpose of this command is to enable profiling of the Java code being built by sbt. \n\nProfiling is a technique used to analyze the performance of a program by measuring various metrics such as CPU usage, memory usage, and execution time. YourKit is a popular Java profiler that provides a range of features for profiling Java applications. By adding the YourKit profiler to sbt, developers can gain insights into the performance of their code and identify areas for optimization.\n\nThe command starts by invoking sbt and passing it the -J-agentpath option, which specifies the path to the YourKit profiler library. The path is specific to the macOS operating system and may need to be modified for other platforms. Once sbt is running with the profiler attached, it will collect profiling data as the code is built and executed.\n\nHere is an example of how this command might be used in a larger project:\n\n```\nsbt -J-agentpath:/path/to/YourKit/libyjpagent.so clean compile test\n```\n\nThis command would run sbt with the YourKit profiler attached and perform a clean build of the project, compile the code, and run the test suite. The profiling data collected during this process could then be analyzed using the YourKit profiler to identify performance bottlenecks and optimize the code.\n\nOverall, this command is a useful tool for developers who want to improve the performance of their Java code and ensure that it is running efficiently.", + "questions": "1. What is the purpose of this code?\n This code is used to configure the YourKit Java Profiler for use with the project.\n\n2. What is the significance of the \"-J-agentpath\" flag?\n The \"-J-agentpath\" flag is used to specify the path to the YourKit Java Profiler agent library.\n\n3. Is this code specific to a certain operating system or version of the profiler?\n Yes, this code is specific to the Mac operating system and the 2018.04 version of the YourKit Java Profiler." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.json new file mode 100644 index 0000000000..f8dc2e2439 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.json new file mode 100644 index 0000000000..2c2c08d208 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.json @@ -0,0 +1,7 @@ +{ + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.json new file mode 100644 index 0000000000..d2d2e423a1 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.json @@ -0,0 +1,7 @@ +{ + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.json new file mode 100644 index 0000000000..9aeb499ee7 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.json new file mode 100644 index 0000000000..848ca6d7ea --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.json @@ -0,0 +1,7 @@ +{ + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/summary.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/summary.json new file mode 100644 index 0000000000..372c717d53 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl/summary.json @@ -0,0 +1,38 @@ +{ + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/summary.json b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/summary.json new file mode 100644 index 0000000000..74468975da --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/summary.json @@ -0,0 +1,56 @@ +{ + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/org/summary.json b/.autodoc/docs/json/sc/src/main/scala/org/summary.json new file mode 100644 index 0000000000..2c01cd3ad9 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/org/summary.json @@ -0,0 +1,66 @@ +{ + "folderName": "org", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/CompilerReflection.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/CompilerReflection.json new file mode 100644 index 0000000000..dd573141bc --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/CompilerReflection.json @@ -0,0 +1,7 @@ +{ + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/IRContext.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/IRContext.json new file mode 100644 index 0000000000..f71b04db57 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/IRContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/TreeBuilding.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/TreeBuilding.json new file mode 100644 index 0000000000..80efdc55b8 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/TreeBuilding.json @@ -0,0 +1,7 @@ +{ + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/summary.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/summary.json new file mode 100644 index 0000000000..3f8bcbdea0 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval/summary.json @@ -0,0 +1,24 @@ +{ + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaBinder.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaBinder.json new file mode 100644 index 0000000000..6d264ba174 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaBinder.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaCompiler.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaCompiler.json new file mode 100644 index 0000000000..c8d110b795 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaCompiler.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaTyper.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaTyper.json new file mode 100644 index 0000000000..0e48203a14 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/SigmaTyper.json @@ -0,0 +1,7 @@ +{ + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/summary.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/summary.json new file mode 100644 index 0000000000..033d5a02f5 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/sigmastate/summary.json b/.autodoc/docs/json/sc/src/main/scala/sigmastate/summary.json new file mode 100644 index 0000000000..fc08a6b49e --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/sigmastate/summary.json @@ -0,0 +1,73 @@ +{ + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate", + "files": [ + { + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." + } + ], + "folders": [ + { + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" + }, + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/scala/summary.json b/.autodoc/docs/json/sc/src/main/scala/summary.json new file mode 100644 index 0000000000..d98a7e2b81 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/scala/summary.json @@ -0,0 +1,149 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sc/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate", + "files": [ + { + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." + } + ], + "folders": [ + { + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" + }, + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method.\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/main/summary.json b/.autodoc/docs/json/sc/src/main/summary.json new file mode 100644 index 0000000000..617d01b017 --- /dev/null +++ b/.autodoc/docs/json/sc/src/main/summary.json @@ -0,0 +1,159 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/sc/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sc/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate", + "files": [ + { + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." + } + ], + "folders": [ + { + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" + }, + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method.\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder plays a crucial role in working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/src/summary.json b/.autodoc/docs/json/sc/src/summary.json new file mode 100644 index 0000000000..a9e697ce32 --- /dev/null +++ b/.autodoc/docs/json/sc/src/summary.json @@ -0,0 +1,169 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/sc/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sc/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sc/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate", + "files": [ + { + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." + } + ], + "folders": [ + { + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" + }, + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method.\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder plays a crucial role in working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder is crucial for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sc/summary.json b/.autodoc/docs/json/sc/summary.json new file mode 100644 index 0000000000..621b351325 --- /dev/null +++ b/.autodoc/docs/json/sc/summary.json @@ -0,0 +1,179 @@ +{ + "folderName": "sc", + "folderPath": ".autodoc/docs/json/sc", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/sc/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sc/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sc/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform", + "files": [ + { + "fileName": "ErgoScriptPredef.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala", + "summary": "The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code.\n\nThe second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nHere is an example of how the `tokenThresholdScript` method can be used:\n\n```\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.", + "questions": "1. What is the purpose of the `ErgoScriptPredef` object?\n- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold.\n\n2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method?\n- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable.\n\n3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method?\n- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement." + } + ], + "folders": [ + { + "folderName": "dsl", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl", + "files": [ + { + "fileName": "ContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala", + "summary": "The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract.\n\nThe `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction.\n\nThe `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box.\n\nThe `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid.\n\nThe `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language.\n\nThe `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction.\n\nThe `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction.\n\nThe `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction.\n\nThe `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block.\n\nFinally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message.", + "questions": "1. What is the purpose of this code?\n- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks.\n\n2. What external libraries or dependencies does this code use?\n- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages.\n\n3. What is the significance of the `ProvingParty` and `VerifyingParty` traits?\n- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant." + }, + { + "fileName": "ContractSyntax.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala", + "summary": "The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants.\n\nThe SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values.\n\nThis code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants.", + "questions": "1. What is the purpose of the `ContractSyntax` trait and how is it used in the project?\n- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`.\n\n2. What is the purpose of the `proposition` method and how is it used?\n- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree.\n\n3. What is the purpose of the `BooleanSyntax` class and how is it used?\n- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations." + }, + { + "fileName": "ErgoContractSpec.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala", + "summary": "The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. \n\nThe ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers.\n\nThe ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network.\n\nThe ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID.\n\nFinally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. \n\nOverall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions.", + "questions": "1. What is the purpose of this code and what project is it a part of?\n- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions.\n\n2. What is the `ErgoOutBox` class and what methods does it override?\n- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box.\n\n3. What is the purpose of the `TransactionContext` trait and what methods does it define?\n- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed." + }, + { + "fileName": "StdContracts.scala", + "filePath": "sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala", + "summary": "The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. \n\nThe first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. \n\nThe method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). \n\nThe second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. \n\nThe method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. \n\nThe destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). \n\nThese methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. \n\nExample usage:\n\n```\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```", + "questions": "1. What is the purpose of the `StdContracts` trait?\n- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`.\n\n2. What is the role of the `ContractSyntax` trait?\n- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods.\n\n3. What is the significance of the `error` method calls in the transfer methods?\n- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction.\n\n`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions.\n\n`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values.\n\n`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`.\n\n`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box.\n\nExample usage:\n\n```scala\nval tx = new TransactionCandidate()\nval fromBox = new OutBox(...)\nval toSpec = new PropositionSpec(...)\nval ergAmt = 1000000L\nval tokenAmt = new Token(...)\nval (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt)\n```\n\nIn summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions.\n\nThe `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nThe `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain.\n\nThe `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nExample usage:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = \"...\"\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nThe `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts.\n\nExample usage:\n\n```scala\nval tokenId: Array[Byte] = Array(1, 2, 3)\nval thresholdAmount: Long = 1000\nval networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix\n\nval script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThis code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`.\n\nThe `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + }, + { + "folderName": "sigmastate", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate", + "files": [ + { + "fileName": "CompilerReflection.scala", + "filePath": "sc/src/main/scala/sigmastate/CompilerReflection.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala", + "summary": "The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection.\n\nThe `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming.\n\nThe `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively.\n\nOverall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file.", + "questions": "1. What is the purpose of the `sigmastate` package?\n - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose.\n2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object?\n - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime.\n3. What is the purpose of the `CompilerReflection` object?\n - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler." + } + ], + "folders": [ + { + "folderName": "eval", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval", + "files": [ + { + "fileName": "IRContext.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/IRContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala", + "summary": "The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. \n\nThe IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. \n\nThe trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. \n\nThe RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. \n\nOverall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. \n\nExample usage:\n\n```\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```", + "questions": "1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`?\n \n The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development.\n\n2. What is the purpose of the `noConstPropagationPass` value?\n \n `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass.\n\n3. What is the purpose of the `verifyIsProven` method?\n \n `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly." + }, + { + "fileName": "TreeBuilding.scala", + "filePath": "sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala", + "summary": "The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform.\n\nThe main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nThe `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method.\n\nIn summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform.", + "questions": "1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work?\n \n **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching.\n\n2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait?\n\n **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method.\n\n3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method?\n\n **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`.\n\n`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions.\n\nThe `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\n`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`.\n\nThe trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression.\n\nIn summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase.", + "questions": "" + }, + { + "folderName": "lang", + "folderPath": ".autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang", + "files": [ + { + "fileName": "SigmaBinder.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala", + "summary": "The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions.\n\nThe `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs.\n\nThe `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`.\n\nOverall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "1. What is the purpose of the `SigmaBinder` class?\n- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types.\n\n2. What is the purpose of the `SrcCtxCallbackRewriter` object?\n- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term.\n\n3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class?\n- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`." + }, + { + "fileName": "SigmaCompiler.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala", + "summary": "The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code.\n\nThe `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`.\n\nThe `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes.\n\nThe `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. \n\nExample usage:\n\n```\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```", + "questions": "1. What is the purpose of the `SigmaCompiler` class?\n- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls.\n\n2. What is the significance of the `CompilerSettings` case class?\n- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls.\n\n3. What is the purpose of the `unlowerMethodCalls` method?\n- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`." + }, + { + "fileName": "SigmaTyper.scala", + "filePath": "sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala", + "summary": "The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness.\n\nThe `assignType` function handles various cases, such as:\n\n- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types.\n- `Tuple`: It assigns types to each element of the tuple.\n- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type.\n- `Ident`: It looks up the type of the identifier in the environment or the global method registry.\n- `Select`: It assigns types to the object and its fields, handling method calls and property access.\n- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body.\n- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types.\n- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters.\n- `If`: It assigns types to", + "questions": "1. **Question**: What is the purpose of the `SigmaTyper` class?\n **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types.\n\n2. **Question**: How does the `assignType` method work?\n **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types.\n\n3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class?\n **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis." + } + ], + "folders": [], + "summary": "The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names.\n\n`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free.\n\n`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\n`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free.\n\nIn summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language.\n\nThe `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively.\n\nThe `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode.\n\nExample usage:\n\n```scala\nval context = new RuntimeIRContext()\nval lambda = context.builder.lambda { (ctx: Context) =>\n val input = ctx.INPUTS(0)\n val output = ctx.OUTPUTS(0)\n SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes)\n}\ncontext.verifyIsProven(lambda) // returns Success(())\n```\n\nThe `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions.\n\nExample usage:\n\n```scala\nval settings = CompilerSettings(NetworkPrefix.Testnet)\nval compiler = SigmaCompiler(settings)\nval env = ScriptEnv.Empty\nval code = \"HEIGHT > 1000\"\nval result = compiler.compile(env, code)\nval compiledCode = result.code\nval compiledGraph = result.compiledGraph\nval buildTree = result.buildTree\n```\n\nIn summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes.\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method.\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder plays a crucial role in working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder is crucial for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sc/src/main/scala` folder is essential for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides crucial components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform.\n\nOne of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below:\n\n```scala\nval scriptEnv: ScriptEnv = ...\nval code: String = ...\nval networkPrefix: NetworkPrefix = ...\nval compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix)\n```\n\nAnother important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction:\n\n```scala\nval tokenId: TokenId = ...\nval thresholdAmount: Long = ...\nval networkPrefix: NetworkPrefix = ...\nval thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix)\n```\n\nThe `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract:\n\n```scala\nval ergoContract: ErgoContract = new ErgoContract {\n override val ergoTree: ErgoTree = ...\n}\n```\n\nThe `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes.\n\nIn summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.json new file mode 100644 index 0000000000..bcc81edfab --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.json @@ -0,0 +1,7 @@ +{ + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.json new file mode 100644 index 0000000000..99d9b865f1 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.json new file mode 100644 index 0000000000..d48d9e317d --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.json new file mode 100644 index 0000000000..577a7e4d85 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.json @@ -0,0 +1,7 @@ +{ + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.json new file mode 100644 index 0000000000..8b76bffdf5 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.json @@ -0,0 +1,7 @@ +{ + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.json new file mode 100644 index 0000000000..24e9bcdbc7 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.json @@ -0,0 +1,7 @@ +{ + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.json new file mode 100644 index 0000000000..526753538d --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.json @@ -0,0 +1,7 @@ +{ + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.json new file mode 100644 index 0000000000..4d26232023 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.json new file mode 100644 index 0000000000..444556fed5 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.json @@ -0,0 +1,7 @@ +{ + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.json new file mode 100644 index 0000000000..eeebb45fee --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.json @@ -0,0 +1,7 @@ +{ + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.json new file mode 100644 index 0000000000..e4811d8eda --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.json @@ -0,0 +1,80 @@ +{ + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.json new file mode 100644 index 0000000000..77ecb0743a --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.json @@ -0,0 +1,90 @@ +{ + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/summary.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/summary.json new file mode 100644 index 0000000000..a1d6e22550 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/summary.json @@ -0,0 +1,100 @@ +{ + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/org/summary.json b/.autodoc/docs/json/sdk/js/src/main/scala/org/summary.json new file mode 100644 index 0000000000..3819c8127e --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/org/summary.json @@ -0,0 +1,110 @@ +{ + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/scala/summary.json b/.autodoc/docs/json/sdk/js/src/main/scala/summary.json new file mode 100644 index 0000000000..fe6f4feffe --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/scala/summary.json @@ -0,0 +1,120 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/main/summary.json b/.autodoc/docs/json/sdk/js/src/main/summary.json new file mode 100644 index 0000000000..77c066f2e6 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/main/summary.json @@ -0,0 +1,130 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/src/summary.json b/.autodoc/docs/json/sdk/js/src/summary.json new file mode 100644 index 0000000000..7e9c28d906 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/src/summary.json @@ -0,0 +1,140 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/js/summary.json b/.autodoc/docs/json/sdk/js/summary.json new file mode 100644 index 0000000000..1b5ade2d73 --- /dev/null +++ b/.autodoc/docs/json/sdk/js/summary.json @@ -0,0 +1,150 @@ +{ + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.json new file mode 100644 index 0000000000..698f792e26 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.json @@ -0,0 +1,7 @@ +{ + "fileName": "AppkitProvingInterpreter.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.scala", + "summary": "## AppkitProvingInterpreter Class\n\nThe `AppkitProvingInterpreter` class is a class that holds secrets and can sign transactions. It is used to generate proofs for transactions. It takes in `secretKeys`, `dLogInputs`, `dhtInputs`, and `params` as parameters. `secretKeys` are secrets in extended form to be used by the prover. `dLogInputs` are prover inputs containing secrets for generating proofs for ProveDlog nodes. `dhtInputs` are prover inputs containing secrets for generating proofs for ProveDHTuple nodes. `params` are ergo blockchain parameters.\n\nThe class extends `ReducingInterpreter` and `ProverInterpreter`. It has a `secrets` field that holds all the necessary secrets to satisfy the given sigma proposition in the reducedInput. It has a `pubKeys` field that holds all public keys that correspond to all the DLogProverInput known to this prover.\n\nThe `sign` method reduces and signs the given transaction. It takes in `unreducedTx`, `stateContext`, and `baseCost` as parameters. `unreducedTx` is the unreduced transaction data to be reduced (contains unsigned transaction). `stateContext` is the state context of the blockchain in which the transaction should be signed. `baseCost` is the cost accumulated before this transaction. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost doesn't include `baseCost`.\n\nThe `signReduced` method signs the given transaction (i.e. providing spending proofs) for each input so that the resulting transaction can be submitted to the blockchain. It takes in `reducedTx` as a parameter. `reducedTx` is an unsigned transaction augmented with reduced. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost includes the costs of obtaining reduced transaction and the cost of verification of each signed input.\n\nThe `proveReduced` method generates proof (aka signature) for the given message using secrets of this prover. All the necessary secrets should be configured in this prover to satisfy the given sigma proposition in the reducedInput.\n\n## ReducedErgoLikeTransaction Class\n\nThe `ReducedErgoLikeTransaction` class represents `reduced` transaction, i.e. unsigned transaction where each unsigned input is augmented with `ReducedInputData` which contains a script reduction result. After an unsigned transaction is reduced it can be signed without context. Thus, it can be serialized and transferred for example to Cold Wallet and signed in an environment where secrets are known. It takes in `unsignedTx` and `reducedInputs` as parameters. `unsignedTx` is an unsigned transaction. `reducedInputs` is a sequence of `ReducedInputData`.\n\n## ReducedInputData Class\n\nThe `ReducedInputData` class represents data necessary to sign an input of an unsigned transaction. It takes in `reductionResult` and `extension` as parameters. `reductionResult` is the result of reducing input script to a sigma proposition. `extension` is context extensions (aka context variables) used by script and which are also necessary to verify the transaction on-chain. Extensions are included in tx bytes, which are signed.\n\n## TokenBalanceException Class\n\nThe `TokenBalanceException` class is thrown during transaction signing when inputs token are not balanced with output tokens. It takes in `message` and `tokensDiff` as parameters. `message` is the balance difference which caused the error. `tokensDiff` is the difference between input and output tokens.", + "questions": "1. What is the purpose of the `AppkitProvingInterpreter` class?\n- The `AppkitProvingInterpreter` class holds secrets and can sign transactions to generate proofs. It takes in secrets, prover inputs, and blockchain parameters as parameters.\n\n2. What is the difference between `sign` and `signReduced` methods in the `AppkitProvingInterpreter` class?\n- The `sign` method reduces and signs the given transaction, while the `signReduced` method signs the given transaction without requiring context to generate proofs.\n\n3. What is the purpose of the `ReducedErgoLikeTransactionSerializer` object?\n- The `ReducedErgoLikeTransactionSerializer` object is used to serialize and parse `ReducedErgoLikeTransaction` objects, which are unsigned transactions augmented with `ReducedInputData` that contain a script reduction result." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.json new file mode 100644 index 0000000000..186d0d8ed2 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.json @@ -0,0 +1,7 @@ +{ + "fileName": "DataJsonEncoder.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.scala", + "summary": "The `DataJsonEncoder` object in this code is responsible for encoding and decoding data in JSON format for the Ergo platform SDK. It provides methods to convert data between JSON and Ergo platform's internal data types, such as `SInt`, `SLong`, `SBigInt`, `SString`, `SCollectionType`, `SOption`, `STuple`, `SGroupElement`, `SAvlTree`, `SSigmaProp`, and `SBox`. This is useful for serializing and deserializing data when communicating with external systems or storing data in a human-readable format.\n\nThe main methods provided by this object are:\n\n- `encode[T <: SType](v: T#WrappedType, tpe: T): Json`: Encodes a value `v` of type `T` into a JSON object, including the type information.\n- `encodeAnyValue(v: AnyValue): Json`: Encodes an `AnyValue` into a JSON object, including the type information.\n- `decode(json: Json): SType#WrappedType`: Decodes a JSON object into a value of the corresponding `SType`.\n- `decodeAnyValue(json: Json): AnyValue`: Decodes a JSON object into an `AnyValue`.\n\nThese methods rely on several private helper methods for encoding and decoding specific data types, such as `encodeBytes`, `decodeBytes`, `encodeData`, `decodeData`, `decodeColl`, and `decodeWithTpe`.\n\nFor example, to encode an `SInt` value into JSON:\n\n```scala\nval intValue: SInt#WrappedType = 42\nval json: Json = DataJsonEncoder.encode(intValue, SInt)\n```\n\nAnd to decode the JSON back into an `SInt` value:\n\n```scala\nval decodedValue: SInt#WrappedType = DataJsonEncoder.decode(json).asInstanceOf[SInt#WrappedType]\n```\n\nThis object is useful in the larger project for handling data serialization and deserialization between the Ergo platform and external systems, such as APIs, databases, or user interfaces.", + "questions": "1. **Question**: What is the purpose of the `DataJsonEncoder` object and its methods?\n **Answer**: The `DataJsonEncoder` object is responsible for encoding and decoding data of various types to and from JSON format. It provides methods like `encode`, `encodeAnyValue`, `decode`, and `decodeAnyValue` to handle the conversion between data types and JSON.\n\n2. **Question**: How does the `encodeData` method work and what types does it support?\n **Answer**: The `encodeData` method takes a value `v` and its type `tpe` as input and returns a JSON representation of the value. It supports various types like SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox.\n\n3. **Question**: How does the `decodeData` method work and what types does it support?\n **Answer**: The `decodeData` method takes a JSON object and a type `tpe` as input and returns the decoded value of the specified type. It supports the same types as the `encodeData` method, such as SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.json new file mode 100644 index 0000000000..69f2413fb3 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoId.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.scala", + "summary": "The code defines a class called ErgoId, which is used to represent an identifier for an Ergo object. The ErgoId class contains a byte array that usually represents a 256-bit hash. The class provides methods to create an ErgoId object from a base16 string and to extract the underlying byte array.\n\nThe ErgoId class also overrides the hashCode and equals methods to support equality. The hashCode method converts the byte array to an integer using the Ints.fromByteArray method from the scorex.utils package. If the byte array is null or less than 4 bytes, the method uses the util.Arrays.hashCode method instead. The equals method checks if the object being compared is null, if it is the same object, or if it is an instance of ErgoId. If it is an ErgoId object, the method checks if the byte arrays are equal using the util.Arrays.equals method.\n\nFinally, the ErgoId class provides a toString method that returns a string representation of the byte array using Base16 encoding.\n\nThe ErgoId object can be used to uniquely identify an Ergo object in the larger project. For example, it can be used to identify a transaction or a box in the Ergo blockchain. The ErgoId object can be created using the create method of the ErgoId object, which takes a base16 string as input. The resulting ErgoId object can then be used to compare with other ErgoId objects to check for equality. The toString method can also be used to obtain a string representation of the ErgoId object for display purposes.\n\nExample usage:\n\n```\nval id1 = ErgoId.create(\"0123456789abcdef\")\nval id2 = ErgoId.create(\"0123456789abcdef\")\nval id3 = ErgoId.create(\"fedcba9876543210\")\n\nprintln(id1 == id2) // true\nprintln(id1 == id3) // false\n\nprintln(id1.toString) // \"0123456789abcdef\"\n```", + "questions": "1. What is the purpose of the ErgoId class?\n - The ErgoId class is an identifier for an Ergo object that wraps a byte array, usually a 256-bit hash, and supports equality.\n\n2. What is the purpose of the create method in the ErgoId object?\n - The create method in the ErgoId object creates a new ErgoId instance from a base16 string by decoding it into bytes.\n\n3. What hashing algorithm is used in the ErgoId class?\n - The ErgoId class uses the Ints.fromByteArray method to hash the byte array if it is at least 4 bytes long, otherwise it uses the util.Arrays.hashCode method. The specific hashing algorithm used by Ints.fromByteArray is not specified in this code." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.json new file mode 100644 index 0000000000..90f867761a --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoToken.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.scala", + "summary": "The code above defines a case class called ErgoToken that represents an Ergo token (also known as an asset) paired with its value. The class has two parameters: id, which is an instance of ErgoId, and value, which is a Long. ErgoId is a separate class that is not defined in this file.\n\nThe ErgoToken class has three constructors. The first constructor takes an ErgoId instance and a Long value as parameters. The second constructor takes an array of bytes and a Long value as parameters, and it creates a new ErgoId instance from the array of bytes. The third constructor takes a String and a Long value as parameters, and it decodes the String into an array of bytes using a helper method called JavaHelpers.decodeStringToBytes().\n\nThe class also has two methods: getId() and getValue(). getId() returns the ErgoId instance associated with the ErgoToken, while getValue() returns the Long value associated with the ErgoToken.\n\nThis class is useful in the larger project because it allows Ergo tokens to be represented as objects that can be used as keys in maps and sets. This makes it easier to manipulate and store Ergo tokens in the project. For example, if the project needs to keep track of a user's Ergo token balance, it can use a map where the keys are ErgoToken instances and the values are Longs representing the token balances. Here is an example of how this might look:\n\n```\nval tokenBalanceMap: Map[ErgoToken, Long] = Map(\n ErgoToken(\"token1\", 100) -> 500L,\n ErgoToken(\"token2\", 200) -> 1000L,\n ErgoToken(\"token3\", 300) -> 750L\n)\n\nval userTokenBalance: Long = tokenBalanceMap(ErgoToken(\"token2\", 200))\n// userTokenBalance is now 1000L\n```\n\nIn this example, the tokenBalanceMap is a Map where the keys are ErgoToken instances and the values are Longs representing the token balances. The userTokenBalance variable is set to the value associated with the ErgoToken instance representing \"token2\" with a value of 200. This allows the project to easily keep track of Ergo token balances for different users.", + "questions": "1. What is the purpose of the ErgoToken class?\n The ErgoToken class represents an ergo token (or asset) paired with its value and can be used as keys for maps and sets.\n\n2. What is the difference between the three constructors?\n The first constructor takes an ErgoId and a Long as parameters, the second constructor takes an array of bytes and a Long, and the third constructor takes a String and a Long. All three constructors create an instance of the ErgoToken class.\n\n3. What methods are available in the ErgoToken class?\n The ErgoToken class has methods to get the id and value of the token, as well as constructors to create instances of the class using different parameter types. The class also implements equality and can be used as keys for maps and sets." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.json new file mode 100644 index 0000000000..ce5f3dc48f --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExtendedInputBox.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.scala", + "summary": "The code defines a class called ExtendedInputBox, which represents an input ErgoBox paired with context variables. An ErgoBox is a data structure that contains a certain amount of cryptocurrency and can be used as an input or output in a transaction on the Ergo blockchain. Context variables, also known as ContextExtensions, are additional data that is required to satisfy the guarding proposition of the box. The guarding proposition is a script that must be evaluated to true in order for the box to be spent in a transaction.\n\nThe ExtendedInputBox class takes two parameters: an instance of ErgoBox and a set of context variables. These parameters are used to create an ExtendedInputBox object, which can then be used as an input in a transaction. The toUnsignedInput method is provided to convert an ExtendedInputBox object into an UnsignedInput object, which is used to create a signed transaction.\n\nThis code is part of the Ergo Platform SDK, which is a set of tools and libraries for building applications on the Ergo blockchain. The ExtendedInputBox class is a useful abstraction for working with input boxes in transactions, as it encapsulates both the box and its required context variables. This can simplify the process of constructing and signing transactions, as the necessary data is contained within a single object. \n\nExample usage:\n\n```scala\nimport org.ergoplatform.sdk.ExtendedInputBox\nimport org.ergoplatform.{ErgoBox, UnsignedInput}\nimport sigmastate.interpreter.ContextExtension\n\n// create an ErgoBox and a ContextExtension\nval box = new ErgoBox(1000000, Array[Byte](1, 2, 3))\nval extension = new ContextExtension(Map(\"key\" -> Array[Byte](4, 5, 6)))\n\n// create an ExtendedInputBox object\nval inputBox = ExtendedInputBox(box, extension)\n\n// convert to UnsignedInput\nval unsignedInput = inputBox.toUnsignedInput\n```", + "questions": "1. What is the purpose of the `ExtendedInputBox` class?\n- The `ExtendedInputBox` class represents an input `ErgoBox` along with its associated context variables, which are necessary to satisfy the box's guarding proposition.\n\n2. What is the `toUnsignedInput` method used for?\n- The `toUnsignedInput` method returns an `UnsignedInput` instance created from the `ErgoBox` ID and context extension of the `ExtendedInputBox`.\n\n3. What is the significance of the `ContextExtension` import?\n- The `ContextExtension` import is necessary to use the `extension` parameter in the `ExtendedInputBox` class, which represents the set of context variables necessary to satisfy the box's guarding proposition." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.json new file mode 100644 index 0000000000..babe20c08f --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Extensions.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.scala", + "summary": "The `Extensions` object contains several implicit classes that provide additional functionality to existing Scala and Ergo data structures. These classes are designed to simplify common operations and improve code readability.\n\nThe `GenIterableOps` class provides a `mapReduce` method that applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function. The resulting collection is a new collection of (K,V) pairs, where K is the key and V is the reduced value. This method is useful for performing complex operations on collections, such as aggregating data or calculating statistics.\n\nThe `CollOps` class provides several methods for working with Ergo's `Coll` data structure. These methods include `partition`, which partitions a collection into two collections based on a predicate; `toMap`, which converts a collection of (K,V) pairs to an immutable map; `sum`, which sums the elements of a collection using a `Numeric` type; `mapReduce`, which applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function; and `groupBy` and `groupByProjecting`, which partition a collection into a map of collections based on a discriminator function.\n\nThe `PairCollOps` class provides additional methods for working with Ergo's `PairColl` data structure. These methods include `mapFirst` and `mapSecond`, which map the first and second components of each pair in the collection, respectively; `reduceByKey`, which uses the first component of each pair in the collection as a key for grouping and reducing the corresponding values; `sumByKey`, which uses the first component of each pair in the collection as a key for grouping and summing the corresponding values using a `Numeric` type; and `groupByKey`, which uses the first component of each pair in the collection as a key for grouping the corresponding values into a new collection.\n\nThe `CollBuilderOps` class provides additional methods for working with Ergo's `CollBuilder` data structure. These methods include `outerJoin`, which performs an outer join operation between two collections and returns a collection of (K,O) pairs, where each key comes from either the left or right collection and values are produced by projections; and `fromMap`, which constructs a collection of (K,V) pairs using a `PairColl` representation, in which keys and values are stored as separate unboxed arrays.\n\nOverall, these implicit classes provide a wide range of functionality for working with collections in Ergo and can greatly simplify complex operations.", + "questions": "1. What is the purpose of the `Extensions` object?\n- The `Extensions` object contains several implicit classes that provide additional functionality to existing classes, such as `GenIterable`, `Coll`, and `CollBuilder`.\n\n2. What is the purpose of the `mapReduce` method in the `GenIterableOps` class?\n- The `mapReduce` method applies a mapping function to each element of a collection, groups the elements by key, and reduces each group using a reduction function. The result is a new collection of (key, value) pairs, with one item for each group.\n\n3. What is the purpose of the `outerJoin` method in the `CollBuilderOps` class?\n- The `outerJoin` method performs an outer join operation between two collections, using projection functions to produce values for each element of the left and right collections, and an inner projection function to produce values for matching items with the same key. The result is a new collection of (key, value) pairs, with keys coming from either the left or right collection and values produced by the projection functions." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.json new file mode 100644 index 0000000000..c2f7582226 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.json @@ -0,0 +1,7 @@ +{ + "fileName": "JavaHelpers.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.scala", + "summary": "This code is part of the Ergo Platform SDK and provides various utilities and type conversions for working with Ergo blockchain data structures. It includes conversions between Java and Scala data types, as well as conversions between Ergo representations and generated API representations.\n\nThe `Iso` trait defines a type-class for isomorphisms between types, which are used to define type-safe conversions between different representations of the same information. The `Iso` trait has two main methods: `to` and `from`, which convert between the two types. There are also several implicit instances of `Iso` for common conversions, such as `jbyteToByte`, `jshortToShort`, and `jintToInt`.\n\nThe `JavaHelpers` object provides various utility methods and implicit classes for working with Ergo blockchain data structures, such as converting between base16 strings and byte arrays, creating Ergo addresses, and working with Ergo tokens. It also provides methods for working with collections, such as `collFrom`, `collToByteArray`, and `subtractTokenColls`.\n\nHere's an example of using the `Iso` trait to convert between Java and Scala data types:\n\n```scala\nimport org.ergoplatform.sdk.Iso._\n\nval jInt: JInt = 42\nval scalaInt: Int = jInt.convertTo[Int] // Converts JInt to Int\nval jIntBack: JInt = scalaInt.convertTo[JInt] // Converts Int back to JInt\n```\n\nAnd an example of using the `JavaHelpers` object to work with Ergo tokens:\n\n```scala\nimport org.ergoplatform.sdk.JavaHelpers._\n\nval tokens: JList[ErgoToken] = ...\nval tokensMap: mutable.LinkedHashMap[ModifierId, Long] = tokens.convertTo[mutable.LinkedHashMap[ModifierId, Long]]\n```\n\nOverall, this code provides a set of utilities and type conversions that can be used throughout the Ergo Platform SDK to work with Ergo blockchain data structures in a type-safe and convenient manner.", + "questions": "1. **What is the purpose of the `Iso` trait and its implementations?**\n\n The `Iso` trait represents a type-class of isomorphisms between two types `A` and `B`. It is used to define type-full conversions between different data types, such as conversions between Java and Scala data types, and conversions between Ergo representations and generated API representations. The implementations of the `Iso` trait provide the actual conversion logic between the two types.\n\n2. **How does the `JavaHelpers` object help with Java interoperability?**\n\n The `JavaHelpers` object provides a set of utility methods and implicit classes that help with Java interoperability. It includes methods for converting between Java and Scala collections, decoding base16 strings, creating Ergo addresses, and other operations that are commonly used in Ergo applications. These methods make it easier for Java developers to work with Ergo and its data structures.\n\n3. **What is the purpose of the `extractAssets` method in the `JavaHelpers` object?**\n\n The `extractAssets` method takes an `IndexedSeq` of `ErgoBoxCandidate` objects and extracts a mapping of assets to their total amounts. It checks the amounts of assets in the boxes, ensuring that they are positive, and then summarizes and groups their corresponding amounts. This method is useful for computing the total amounts of assets in a set of boxes, such as when creating a transaction or computing the balance of a wallet." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.json new file mode 100644 index 0000000000..f298c0eb33 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.json @@ -0,0 +1,7 @@ +{ + "fileName": "JsonCodecs.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.scala", + "summary": "The `JsonCodecs` trait in this code provides JSON encoders and decoders for various data types used in the Ergo platform. These encoders and decoders are used to convert data between JSON and Scala objects, which is useful for data serialization and deserialization when communicating between different components of the Ergo platform or with external systems.\n\nThe trait defines encoders and decoders for a wide range of data types, including cryptographic primitives (e.g., `ADKey`, `ADDigest`, `Digest32`), Ergo-specific data structures (e.g., `ErgoBox`, `ErgoLikeTransaction`, `ErgoLikeContext`), and Sigma language constructs (e.g., `EvaluatedValue`, `ErgoTree`, `SigmaValidationSettings`). It also provides utility methods for handling errors and converting between different data representations (e.g., `fromTry`, `fromOption`, `fromThrows`).\n\nHere's an example of how an encoder and decoder are defined for the `ErgoBox` data type:\n\n```scala\nimplicit val ergoBoxEncoder: Encoder[ErgoBox] = Encoder.instance({ box =>\n Json.obj(\n \"boxId\" -> box.id.asJson,\n \"value\" -> box.value.asJson,\n \"ergoTree\" -> ErgoTreeSerializer.DefaultSerializer.serializeErgoTree(box.ergoTree).asJson,\n \"assets\" -> box.additionalTokens.toArray.toSeq.asJson,\n \"creationHeight\" -> box.creationHeight.asJson,\n \"additionalRegisters\" -> box.additionalRegisters.asJson,\n \"transactionId\" -> box.transactionId.asJson,\n \"index\" -> box.index.asJson\n )\n})\n\nimplicit val ergoBoxDecoder: Decoder[ErgoBox] = Decoder.instance({ cursor =>\n for {\n value <- cursor.downField(\"value\").as[Long]\n ergoTreeBytes <- cursor.downField(\"ergoTree\").as[Array[Byte]]\n additionalTokens <- cursor.downField(\"assets\").as[Seq[(ErgoBox.TokenId, Long)]]\n creationHeight <- cursor.downField(\"creationHeight\").as[Int]\n additionalRegisters <- cursor.downField(\"additionalRegisters\").as[Map[NonMandatoryRegisterId, EvaluatedValue[SType]]]\n transactionId <- cursor.downField(\"transactionId\").as[ModifierId]\n index <- cursor.downField(\"index\").as[Short]\n } yield new ErgoBox(\n value = value,\n ergoTree = ErgoTreeSerializer.DefaultSerializer.deserializeErgoTree(ergoTreeBytes),\n additionalTokens = additionalTokens.toColl,\n additionalRegisters = additionalRegisters,\n transactionId = transactionId,\n index = index,\n creationHeight = creationHeight\n )\n})\n```\n\nThese encoders and decoders can be used in the larger project to serialize and deserialize data when communicating with external systems, storing data, or processing data within the Ergo platform.", + "questions": "1. **Question**: What is the purpose of the `JsonCodecs` trait and how is it used in the project?\n **Answer**: The `JsonCodecs` trait provides implicit JSON encoders and decoders for various data types used in the project. It is used to convert these data types to and from JSON format, which can be useful for communication between different components or for storing data in a human-readable format.\n\n2. **Question**: How are custom encoders and decoders defined for complex data types like `ErgoBox`, `ErgoLikeTransaction`, and `ErgoLikeContext`?\n **Answer**: Custom encoders and decoders for complex data types are defined using the `Encoder.instance` and `Decoder.instance` methods, respectively. These methods take a function that describes how to convert the data type to or from a JSON representation. For example, the `ErgoBox` encoder is defined as `Encoder.instance({ box => ... })`, where the function inside the instance method describes how to convert an `ErgoBox` object to a JSON object.\n\n3. **Question**: What is the purpose of the `fromTry`, `fromOption`, and `fromThrows` methods, and how are they used in the code?\n **Answer**: The `fromTry`, `fromOption`, and `fromThrows` methods are utility functions that help in handling errors while decoding JSON data. They convert a `Try`, `Option`, or a block that may throw an exception, respectively, into an `Either[DecodingFailure, T]`. This allows for a more consistent error handling approach when decoding JSON data, as any errors encountered can be represented as a `DecodingFailure` and handled accordingly. These methods are used throughout the code in various custom decoders." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.json new file mode 100644 index 0000000000..2244475acd --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.json @@ -0,0 +1,7 @@ +{ + "fileName": "Prover.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for signing transactions and messages using the Ergo blockchain platform. The class takes two parameters: `_prover`, which is an instance of `AppkitProvingInterpreter`, and `networkPrefix`, which is an instance of `ErgoAddressEncoder.NetworkPrefix`. \n\nThe `Prover` class has several methods that allow for the creation of various types of addresses and the signing of transactions and messages. The `getP2PKAddress` method returns a `P2PKAddress` object, which is a pay-to-public-key address that can be used to receive funds. The `getSecretKey` method returns the private key associated with the `P2PKAddress` object. The `getEip3Addresses` method returns a sequence of `P2PKAddress` objects that can be used to receive funds.\n\nThe `sign` method is used to sign a transaction. It takes an `ErgoLikeStateContext` object, which represents the current state of the blockchain, and an `UnreducedTransaction` object, which is the transaction to be signed. The method returns a `SignedTransaction` object, which is the signed version of the transaction. The `sign` method can also take an optional `baseCost` parameter, which is used to specify the minimum cost of executing the transaction.\n\nThe `signMessage` method is used to sign a message. It takes a `SigmaProp` object, which is a cryptographic primitive used in the Ergo platform, a byte array representing the message to be signed, and a `HintsBag` object, which is used to provide additional information about the signing process. The method returns a byte array representing the signature of the message.\n\nThe `reduce` method is used to reduce an `UnreducedTransaction` object to a `ReducedTransaction` object. The reduction process removes unnecessary data from the transaction, making it smaller and easier to process. The method takes an `ErgoLikeStateContext` object, an `UnreducedTransaction` object, and a `baseCost` parameter, which is used to specify the minimum cost of executing the transaction. The method returns a `ReducedTransaction` object.\n\nThe `signReduced` method is used to sign a `ReducedTransaction` object. It takes a `ReducedTransaction` object and returns a `SignedTransaction` object.\n\nOverall, the `Prover` class provides a set of methods that can be used to sign transactions and messages on the Ergo blockchain platform. These methods can be used in conjunction with other classes and methods in the Ergo SDK to build applications that interact with the blockchain.", + "questions": "1. What is the purpose of the `Prover` class?\n- The `Prover` class provides methods for generating and signing transactions using an `AppkitProvingInterpreter` and a specified network prefix.\n\n2. What is the significance of the `ErgoAddressEncoder` and `NetworkPrefix` imports?\n- The `ErgoAddressEncoder` and `NetworkPrefix` imports are used to encode and decode Ergo addresses with a specified network prefix.\n\n3. What is the purpose of the `signMessage` method?\n- The `signMessage` method is used to sign a message with a specified `SigmaProp` and `HintsBag` using the `AppkitProvingInterpreter`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.json new file mode 100644 index 0000000000..7487cf0c48 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.json @@ -0,0 +1,7 @@ +{ + "fileName": "ProverBuilder.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.scala", + "summary": "The `ProverBuilder` class is a part of the Ergo Platform SDK and is used to build a `Prover` object that can be used to create proofs for transactions on the Ergo blockchain. The `ProverBuilder` class provides methods to add various types of secrets to the prover, such as mnemonic phrases, Diffie-Hellman tuples, and discrete logarithms.\n\nThe `ProverBuilder` constructor takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` object contains various parameters that define the context in which the prover will operate, such as the block height, the minimum box value, and the cost of executing scripts. The `NetworkPrefix` object specifies the network prefix of the Ergo blockchain, which is used to encode and decode Ergo addresses.\n\nThe `ProverBuilder` class has several methods that can be used to add secrets to the prover. The `withMnemonic` method takes a `mnemonicPhrase` and a `mnemonicPass` of type `SecretString` and a `usePre1627KeyDerivation` of type `Boolean`. The `mnemonicPhrase` is a BIP-39 mnemonic phrase that can be used to generate a master key for the prover. The `mnemonicPass` is an optional passphrase that can be used to further secure the mnemonic phrase. The `usePre1627KeyDerivation` flag specifies whether to use the pre-1627 key derivation scheme or the post-1627 key derivation scheme. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withEip3Secret` method takes an `index` of type `Int` and generates a secret key using the EIP-3 key derivation scheme. The method requires that a master key has already been added using the `withMnemonic` method. The generated secret key is paired with its derivation path index and added to the `_eip2Keys` array buffer. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withDHTData` method takes a `g`, `h`, `u`, `v`, and `x` of types `GroupElement` and `BigInteger`. These parameters are used to create a Diffie-Hellman tuple prover input using the `JavaHelpers.createDiffieHellmanTupleProverInput` method. The resulting prover input is added to the `_dhtSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `withDLogSecret` method takes an `x` of type `BigInteger` and creates a discrete logarithm prover input using the `DLogProtocol.DLogProverInput` constructor. The resulting prover input is added to the `_dLogSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining.\n\nThe `build` method creates a `Prover` object using the secrets that have been added to the `ProverBuilder`. The method first combines the master key and the EIP-3 secret keys into a single sequence of secret keys. It then creates an `AppkitProvingInterpreter` object using the secret keys, DLog secrets, DHT secrets, and ErgoLikeParameters. Finally, it creates a `Prover` object using the `AppkitProvingInterpreter` and the `networkPrefix`. The `Prover` object can be used to create proofs for transactions on the Ergo blockchain.\n\nExample usage:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.MainnetPrefix\nval proverBuilder = new ProverBuilder(parameters, networkPrefix)\nproverBuilder.withMnemonic(mnemonicPhrase, mnemonicPass, usePre1627KeyDerivation)\nproverBuilder.withEip3Secret(index)\nproverBuilder.withDHTData(g, h, u, v, x)\nproverBuilder.withDLogSecret(x)\nval prover = proverBuilder.build()\n```", + "questions": "1. What is the purpose of the ProverBuilder class?\n- The ProverBuilder class is used to build a Prover object that can be used to create proofs for Ergo transactions.\n\n2. What are the inputs required to create a ProverBuilder object?\n- A ProverBuilder object requires an ErgoLikeParameters object and a NetworkPrefix object as inputs.\n\n3. What are the different methods available in the ProverBuilder class?\n- The ProverBuilder class has methods for adding a mnemonic phrase, adding EIP-3 secret keys, adding Diffie-Hellman tuple secrets, adding DLog secrets, and building a Prover object." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.json new file mode 100644 index 0000000000..bb888056d3 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.json @@ -0,0 +1,7 @@ +{ + "fileName": "ReducingInterpreter.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.scala", + "summary": "# ReducingInterpreter Class\n\nThe `ReducingInterpreter` class is a part of the Ergo Platform SDK and is used to reduce transactions with given chain parameters. The class extends the `ErgoLikeInterpreter` class and overrides its `CTX` type with `ErgoLikeContext`. It also imports various classes and objects from the SDK and other libraries.\n\n## reduce Method\n\nThe `reduce` method takes in three parameters: `env`, `ergoTree`, and `context`. It reduces the given `ErgoTree` in the given context to the sigma proposition. The method returns a data object containing enough data to sign a transaction without context. \n\nThe `initCost` is calculated by adding the complexity of the `ErgoTree` and the `initCost` of the context. If the `remainingLimit` is less than or equal to 0, a `CostLimitException` is thrown. The `ctxUpdInitCost` is the context with the updated `initCost`. The `fullReduction` method is called with the `ergoTree`, `ctxUpdInitCost`, and `env` as parameters. The result of the `fullReduction` method and the `extension` of the `ctxUpdInitCost` are used to create a `ReducedInputData` object which is returned.\n\n## reduceTransaction Method\n\nThe `reduceTransaction` method takes in three parameters: `unreducedTx`, `stateContext`, and `baseCost`. It reduces inputs of the given unsigned transaction to provable sigma propositions using the given context. The method returns a new reduced transaction with all inputs reduced and the cost of this transaction. \n\nThe `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` are extracted from the `unreducedTx`. The `inputTokens` and `outputTokens` are extracted from the `boxesToSpend` and `unsignedTx.outputCandidates`, respectively. The `tokenDiff` is calculated by subtracting `inputTokens` from `outputTokens`. If `tokenDiff` is not empty, the method checks if tokens are to be burnt or minted. If tokens are to be burnt, the method checks if the requested tokens to burn match the tokens to be burnt. If tokens are to be minted, the method checks if only one token is being minted and if the token id is valid. \n\nThe `initialCost` is calculated by adding the interpreter initialization cost, the input cost multiplied by the number of inputs, the data input cost multiplied by the number of data inputs, and the output cost multiplied by the number of output candidates. The `maxCost` is the maximum cost of the block. The `startCost` is the sum of the `baseCost` and the `initialCost`. The `transactionContext` is created with the boxes to spend, data inputs, and unsigned transaction. The `outAssets` and `outAssetsNum` are extracted from the `unsignedTx.outputCandidates`. The `inAssets` and `inAssetsNum` are extracted from the `boxesToSpend`. The `totalAssetsAccessCost` is calculated by adding the token access cost multiplied by the sum of `outAssetsNum` and `inAssetsNum` and the token access cost multiplied by the sum of the sizes of `inAssets` and `outAssets`. The `txCost` is the sum of the `startCost` and the `totalAssetsAccessCost`. \n\nThe method then iterates through the `boxesToSpend` and creates a new `ErgoLikeContext` for each input. The `reduce` method is called with the `Interpreter.emptyEnv`, the `ergoTree` of the input box, and the context as parameters. The result of the `reduce` method and the `currentCost` are used to create a `ReducedInputData` object which is added to the `reducedInputs` array builder. The `ReducedErgoLikeTransaction` is created with the `unsignedTx` and the `reducedInputs`. The `ReducedTransaction` is created with the `reducedTx` and the `currentCost`. \n\nOverall, the `ReducingInterpreter` class provides methods to reduce an `ErgoTree` to a sigma proposition and to reduce inputs of an unsigned transaction to provable sigma propositions using a given context.", + "questions": "1. What is the purpose of the `ReducingInterpreter` class?\n- The `ReducingInterpreter` class is an interpreter that can reduce transactions with given chain parameters.\n\n2. What methods does the `ReducingInterpreter` class have?\n- The `ReducingInterpreter` class has two methods: `reduce` and `reduceTransaction`.\n\n3. What exceptions can be thrown by the `reduce` method?\n- The `reduce` method can throw a `CostLimitException` if the estimated execution cost exceeds the limit." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.json new file mode 100644 index 0000000000..0784833de3 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.json @@ -0,0 +1,7 @@ +{ + "fileName": "SecretString.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.scala", + "summary": "The code defines a class called SecretString that encapsulates a secret array of characters (char[]) with proper equality. The class provides a more secure and safe way of handling secret data than using char[] directly. The secret data can be erased in memory and not leaked to GC. \n\nThe SecretString class has several methods that allow for creating new instances, checking if the string is empty, extracting secret characters as an array, erasing secret characters stored in the instance, and returning an unsecured String with secret characters. \n\nThe create method creates a new instance of SecretString by wrapping the given characters or copying characters from the given String. The empty method creates a new instance with an empty sequence of characters. \n\nThe SecretString class has a private erased flag that is set to true when the erase method is called. Calling any methods after erase() will throw a runtime exception. The checkErased method is used to check if the SecretString is erased before executing any method. \n\nThe getData method returns the secret characters as an array. The erase method erases the secret characters stored in the instance so that they are no longer in memory. The toStringUnsecure method returns an unsecured String with secret characters. The secret characters are copied to the new String instance and cannot be erased in memory. \n\nThe SecretString class is a useful tool for securely handling secret data in a project. It can be used to create new instances of SecretString with secret data, erase secret data stored in an instance, and extract secret data as an array. The class provides a more secure and safe way of handling secret data than using char[] directly.", + "questions": "1. What is the purpose of the SecretString class?\n- The SecretString class encapsulates a secret array of characters with proper equality and allows for the data to be erased in memory to prevent leakage to the garbage collector. It is more secure and safe than using char[] directly.\n\n2. How can a new instance of SecretString be created?\n- A new instance of SecretString can be created using the static methods `create` with either an array of characters or a String, or `empty` to create an instance with an empty sequence of characters.\n\n3. What is the purpose of the `erase` method and what happens when it is called?\n- The `erase` method erases the secret characters stored in the instance so that they no longer reside in memory. When called, it fills the array with spaces and sets the erased flag to true. Any subsequent method calls on the instance will throw a runtime exception." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.json new file mode 100644 index 0000000000..96df503c96 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.json @@ -0,0 +1,7 @@ +{ + "fileName": "Transactions.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.scala", + "summary": "The code defines three case classes: `UnreducedTransaction`, `ReducedTransaction`, and `SignedTransaction`. These classes represent different stages of a transaction in the Ergo blockchain platform. \n\n`UnreducedTransaction` represents a transaction that can be reduced to a `ReducedTransaction`. It takes in four parameters: `unsignedTx`, `boxesToSpend`, `dataInputs`, and `tokensToBurn`. `unsignedTx` is the original unsigned transaction that holds the message to sign. `boxesToSpend` is a sequence of input boxes of the transaction. `dataInputs` is a sequence of data inputs of the transaction. `tokensToBurn` is a sequence of requested tokens to be burnt in the transaction. If it is empty, no burning is allowed. The class also has two `require` statements that check if the length of `unsignedTx.inputs` is equal to the length of `boxesToSpend` and if the length of `unsignedTx.dataInputs` is equal to the length of `dataInputs`. It also has a private method `checkSameIds` that checks if the box ids of `unsignedTx.inputs` and `boxesToSpend` are the same and if the box ids of `unsignedTx.dataInputs` and `dataInputs` are the same.\n\n`ReducedTransaction` represents the result of a transaction reduction by `ReducingInterpreter`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the reduced transaction, and `cost` is the cost of the reduction.\n\n`SignedTransaction` represents the result of a transaction signing by a prover like `Prover`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the signed transaction, and `cost` is the cost of the signing.\n\nThese classes are used in the larger Ergo blockchain platform to represent different stages of a transaction. For example, `UnreducedTransaction` is used to represent an unsigned transaction that needs to be reduced to a `ReducedTransaction`. `ReducedTransaction` is used to represent the result of the reduction, and `SignedTransaction` is used to represent the result of signing the transaction. These classes can be used in conjunction with other classes and methods in the Ergo platform to create, validate, and execute transactions on the blockchain. \n\nExample usage:\n\n```scala\nval unsignedTx = new UnsignedErgoLikeTransaction(...)\nval boxesToSpend = IndexedSeq(new ExtendedInputBox(...), new ExtendedInputBox(...))\nval dataInputs = IndexedSeq(new ErgoBox(...), new ErgoBox(...))\nval tokensToBurn = IndexedSeq(new ErgoToken(...), new ErgoToken(...))\nval unreducedTx = UnreducedTransaction(unsignedTx, boxesToSpend, dataInputs, tokensToBurn)\n\nval reducingInterpreter = new ReducingInterpreter(...)\nval reducedTx = reducingInterpreter.reduce(unreducedTx)\n\nval prover = new Prover(...)\nval signedTx = prover.sign(reducedTx)\n```", + "questions": "1. What is the purpose of the `UnreducedTransaction` class and its parameters?\n- The `UnreducedTransaction` class represents a transaction data that can be reduced to `ReducedTransaction`. Its parameters include the original unsigned transaction to be reduced, input boxes of the transaction, data inputs of the transaction, and requested tokens to be burnt in the transaction.\n\n2. What is the purpose of the `checkSameIds` method?\n- The `checkSameIds` method is a private helper method that checks if two sequences of box IDs have the same IDs in the same order. It is used to ensure that `unsignedTx` and `boxesToSpend`, as well as `unsignedTx` and `dataInputs`, have the same box IDs in the same order.\n\n3. What is the purpose of the `SignedTransaction` case class?\n- The `SignedTransaction` case class represents the results for transaction signing by a prover like `Prover`. Its parameters include the signed transaction and the cost of signing the transaction." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.json new file mode 100644 index 0000000000..f5fb5c8f51 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.json @@ -0,0 +1,7 @@ +{ + "fileName": "Utils.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.scala", + "summary": "The `Utils` object contains several utility functions that can be used across the project. \n\nThe `outerJoin` function performs an outer join operation between two maps, `left` and `right`. It takes three projection functions as arguments: `l`, `r`, and `inner`. The `l` function is executed for each element of the `left` map, the `r` function is executed for each element of the `right` map, and the `inner` function is executed for matching items `(K, L)` and `(K, R)` with the same key `K`. The function returns a map of `(K, O)` pairs, where each key comes from either the `left` or `right` map and values are produced by the projections. \n\nThe `mapReduce` function is a performance-optimized deterministic mapReduce primitive. It takes an array `arr` to be mapped to `(K, V)` pairs, a mapper function `m`, and a value reduction function `r`. The function returns a pair of arrays `(keys, values)`, where keys appear in the order of their first production by `m`, and for each `i`, `values(i)` corresponds to `keys(i)`. \n\nThe `mapToArrays` function takes a map `m` and returns a pair of arrays `(keys, values)`, where `keys` contains all the keys in the map, and `values` contains all the values in the map. \n\nThe `IntegralFromExactIntegral` class can adapt an `ExactIntegral` instance to be used where `Integral` is required. It overrides all the methods of the `Integral` trait and delegates them to the corresponding methods of the `ExactIntegral` instance. \n\nThese utility functions can be used in various parts of the project to perform common operations such as joining maps, mapping and reducing arrays, and adapting instances of `ExactIntegral` to be used as `Integral`. \n\nExample usage of `outerJoin`:\n\n```\nval left = Map(\"a\" -> 1, \"b\" -> 2)\nval right = Map(\"b\" -> 3, \"c\" -> 4)\n\nval result = Utils.outerJoin(left, right)(\n (k, l) => l.toString,\n (k, r) => r.toString,\n (k, l, r) => s\"$l and $r\"\n)\n\n// result: Map(a -> 1, b -> 2 and 3, c -> 4)\n```\n\nExample usage of `mapReduce`:\n\n```\nval arr = Array(1, 2, 3, 4, 5)\n\nval (keys, values) = Utils.mapReduce(arr, (i: Int) => (i % 2, i), (v1: Int, v2: Int) => v1 + v2)\n\n// keys: Array(1, 0)\n// values: Array(6, 9)\n```\n\nExample usage of `mapToArrays`:\n\n```\nval m = Map(\"a\" -> 1, \"b\" -> 2, \"c\" -> 3)\n\nval (keys, values) = Utils.mapToArrays(m)\n\n// keys: Array(a, b, c)\n// values: Array(1, 2, 3)\n```", + "questions": "1. What does the `outerJoin` function do and how does it handle matching items?\n- The `outerJoin` function performs an outer join operation between two maps, with optional projection functions for each map and a projection function for matching items. It returns a map of (K, O) pairs, where each key comes from either the left or right collection and values are produced by projections. Matching items are handled by executing the inner projection function for (K, L, R) pairs with the same key K.\n\n2. What is the purpose of the `mapReduce` function and how is it optimized for performance?\n- The `mapReduce` function is a performance-optimized deterministic mapReduce primitive that maps an array to (K, V) pairs and reduces values by key. It returns a pair of arrays (keys, values), where keys appear in order of their first production by the mapper function and values correspond to keys. It is optimized for performance by using a HashMap to track key positions and an ArrayBuilder to construct the keys and values arrays.\n\n3. What is the `IntegralFromExactIntegral` class and how does it adapt an `ExactIntegral` instance?\n- The `IntegralFromExactIntegral` class adapts an `ExactIntegral` instance to be used where `Integral` is required. It overrides the `Integral` methods with equivalent methods from `ExactIntegral`. It also provides a `parseString` method that throws a `NotImplementedError` since it is not supported by `ExactIntegral`." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.json new file mode 100644 index 0000000000..f68a177d70 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.json @@ -0,0 +1,7 @@ +{ + "fileName": "ArithUtils.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala", + "summary": "The `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides two methods for performing arithmetic operations on `Long` values. The first method, `addExact`, adds two `Long` values and returns the result. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the bitwise XOR operator to check for overflow. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred.\n\nThe second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method.\n\nThe third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead.\n\nThese methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element. \n\nExample usage:\n\n```\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval c = 2L\nval d = 3L\nval sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue\n```", + "questions": "1. What is the purpose of the `ArithUtils` object?\n- The `ArithUtils` object provides methods for performing arithmetic operations on long values while handling overflow conditions.\n\n2. What does the `addExact` method do?\n- The `addExact` method adds two or more long values and returns the sum, but if there is any overflow, it returns `Long.MaxValue`.\n\n3. What does the `multiplyExact` method do?\n- The `multiplyExact` method multiplies two long values and returns the product, but if there is any overflow, it returns `Long.MaxValue`. It uses the `java7.compat.Math.multiplyExact` method to perform the multiplication." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.json new file mode 100644 index 0000000000..6b2985d1fd --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "utils", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils", + "files": [ + { + "fileName": "ArithUtils.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala", + "summary": "The `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides two methods for performing arithmetic operations on `Long` values. The first method, `addExact`, adds two `Long` values and returns the result. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the bitwise XOR operator to check for overflow. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred.\n\nThe second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method.\n\nThe third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead.\n\nThese methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element. \n\nExample usage:\n\n```\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval c = 2L\nval d = 3L\nval sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue\n```", + "questions": "1. What is the purpose of the `ArithUtils` object?\n- The `ArithUtils` object provides methods for performing arithmetic operations on long values while handling overflow conditions.\n\n2. What does the `addExact` method do?\n- The `addExact` method adds two or more long values and returns the sum, but if there is any overflow, it returns `Long.MaxValue`.\n\n3. What does the `multiplyExact` method do?\n- The `multiplyExact` method multiplies two long values and returns the product, but if there is any overflow, it returns `Long.MaxValue`. It uses the `java7.compat.Math.multiplyExact` method to perform the multiplication." + } + ], + "folders": [], + "summary": "The `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides utility methods for performing arithmetic operations on `Long` values with overflow checking. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities.\n\nThe first method, `addExact`, takes two `Long` values as input and returns their sum. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method checks for overflow using the bitwise XOR operator. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval sum = ArithUtils.addExact(a, b) // returns Long.MaxValue\n```\n\nThe second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 1L\nval c = 2L\nval d = 3L\nval sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue\n```\n\nThe third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead.\n\nExample usage:\n\n```scala\nval a = 9223372036854775807L // Long.MaxValue\nval b = 2L\nval product = ArithUtils.multiplyExact(a, b) // returns Long.MaxValue\n```\n\nThese methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.json new file mode 100644 index 0000000000..98d1a080d4 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.json @@ -0,0 +1,7 @@ +{ + "fileName": "AssetUtils.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala", + "summary": "The `AssetUtils` object provides utility functions for working with token assets in the Ergo blockchain. The functions are designed to work with `TokensMap`, which is a type alias for `Map[ModifierId, Long]`. The `ModifierId` is a unique identifier for a transaction output, and the `Long` value represents the amount of tokens associated with that output.\n\nThe `mergeAssetsMut` function takes a mutable map `into` and one or more `TokensMap` instances `from`. It merges the `from` maps into the `into` map by adding the token amounts for each `ModifierId`. If a `ModifierId` is present in both the `into` and `from` maps, the amounts are added together. This function modifies the `into` map in place.\n\n```scala\nval into: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval from1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval from2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nAssetUtils.mergeAssetsMut(into, from1, from2)\n// into now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `mergeAssets` function is similar to `mergeAssetsMut`, but it returns a new `TokensMap` instead of modifying an existing one. It takes an initial `TokensMap` and one or more additional `TokensMap` instances to merge into it. The resulting `TokensMap` contains the merged token amounts.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval map1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval map2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2)\n// merged contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `subtractAssets` function takes an initial `TokensMap` and one or more `TokensMap` instances to subtract from it. It returns a new `TokensMap` with the token amounts subtracted. If a `ModifierId` is present in both the initial map and the subtractor maps, the amounts are subtracted from the initial map. If the resulting amount is zero, the `ModifierId` is removed from the map.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval subtractor2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nval subtracted: TokensMap = AssetUtils.subtractAssets(initialMap, subtractor1, subtractor2)\n// subtracted contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nThe `subtractAssetsMut` function takes a mutable map `from` and a `TokensMap` `subtractor`. It subtracts the token amounts in the `subtractor` map from the `from` map. If the resulting amount is zero, the `ModifierId` is removed from the `from` map. This function modifies the `from` map in place.\n\n```scala\nval from: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nAssetUtils.subtractAssetsMut(from, subtractor)\n// from now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nOverall, these utility functions provide a convenient way to work with token assets in the Ergo blockchain. They can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens.", + "questions": "1. What is the purpose of the `AssetUtils` object?\n- The `AssetUtils` object provides utility functions for merging and subtracting token maps.\n\n2. What is the difference between the `mergeAssetsMut` and `mergeAssets` functions?\n- The `mergeAssetsMut` function takes a mutable map as its first argument and modifies it in place, while the `mergeAssets` function returns a new map without modifying the original.\n\n3. What happens if the `subtractAssets` function is called with a negative amount for a token or with an amount greater than the current balance?\n- The function will throw an exception with an appropriate error message indicating that the subtraction is invalid." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.json new file mode 100644 index 0000000000..0900c532dd --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.json @@ -0,0 +1,7 @@ +{ + "fileName": "Constants.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala", + "summary": "The code defines a set of constants used in the Ergo Platform SDK wallet. The `Constants` object contains several values that are used throughout the project. \n\nThe `ModifierIdLength` constant is used to specify the length of the modifier ID in the protocol and should not be changed. \n\nThe `CoinType` constant is used to define the coin type for the wallet. It is calculated based on the ASCII values of the letters in the word \"ergo\" and is used in the derivation path for the wallet. \n\nThe `MaxAssetsPerBox` constant specifies the maximum number of tokens that can be stored in a single box due to a byte size limit for the Ergo box. \n\nThe `preEip3DerivationPath` and `eip3DerivationPath` constants define the derivation paths for the wallet before and after the implementation of EIP-3. These paths are used to generate addresses for the wallet. \n\nThe `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants are used in the generation of mnemonic phrases for the wallet. They specify the allowed sizes for the mnemonic sentence, the allowed strengths for the entropy, and the allowed lengths for the entropy, respectively. \n\nOverall, this code provides a set of constants that are used throughout the Ergo Platform SDK wallet to ensure consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet. \n\nExample usage:\n\n```scala\nimport org.ergoplatform.sdk.wallet.Constants\n\nval coinType = Constants.CoinType\nval maxAssets = Constants.MaxAssetsPerBox\nval preEip3Path = Constants.preEip3DerivationPath\nval eip3Path = Constants.eip3DerivationPath\nval sentenceSizes = Constants.MnemonicSentenceSizes\nval allowedStrengths = Constants.AllowedStrengths\nval allowedLengths = Constants.AllowedEntropyLengths\n```", + "questions": "1. What is the purpose of the `Constants` object?\n- The `Constants` object contains various constants used in the project, such as `ModifierIdLength`, `CoinType`, `MaxAssetsPerBox`, and others.\n\n2. What is the significance of the `preEip3DerivationPath` and `eip3DerivationPath` constants?\n- These constants define the derivation paths used for generating wallet addresses before and after the implementation of EIP-3, respectively.\n\n3. What are the `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants used for?\n- These constants define the allowed sizes and strengths of mnemonic sentences and entropy lengths for generating wallet seeds." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.json new file mode 100644 index 0000000000..06d8cde63d --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.json @@ -0,0 +1,7 @@ +{ + "fileName": "package.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.scala", + "summary": "The code above defines a package object called \"wallet\" within the \"org.ergoplatform.sdk\" package. This package object contains a type alias called \"TokensMap\", which is a Map data structure that maps ModifierId objects to Long values. \n\nThe purpose of this code is to provide a convenient way to represent a mapping of tokens to their corresponding amounts. This can be useful in the context of a cryptocurrency wallet, where a user may hold multiple types of tokens and need to keep track of their balances. \n\nFor example, if a user has 10 Ergo tokens and 5 Bitcoin tokens in their wallet, the TokensMap could be represented as follows:\n\n```\nval tokens: TokensMap = Map(\n ModifierId(\"ErgoToken\") -> 10L,\n ModifierId(\"BitcoinToken\") -> 5L\n)\n```\n\nThis code can be used in conjunction with other parts of the project to implement wallet functionality, such as displaying token balances to the user or performing transactions between different token types. \n\nOverall, the TokensMap type alias provides a simple and flexible way to represent token balances within the Ergo Platform SDK.", + "questions": "1. What is the purpose of the `org.ergoplatform.sdk` package?\n - This package likely contains code related to the Ergo blockchain platform, but without more context it's difficult to determine its specific purpose.\n\n2. What is the significance of the `scorex.util.ModifierId` import?\n - This import likely provides access to a data type used to identify and modify blockchain transactions or blocks.\n\n3. What is the purpose of the `TokensMap` type alias defined in the `wallet` package object?\n - This type alias defines a mapping between `ModifierId` objects and `Long` values, likely used to represent token balances in a cryptocurrency wallet." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.json new file mode 100644 index 0000000000..b44e8c5a40 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoLikeParameters.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "summary": "The code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. \n\nThe trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. \n\nIn addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. \n\nThis code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. \n\nHere is an example of how one of these methods might be used:\n\n```\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\nThis code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data.\n\n2. What are the expected data types for the return values of the methods defined in this trait?\n \n The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte.\n\n3. Are all the parameters defined in this trait adjustable via miners voting or just some of them?\n \n It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.json new file mode 100644 index 0000000000..b39d34317c --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "ErgoLikeStateContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "summary": "The code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block.\n\nThe case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait.\n\nThis code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated.\n\nHere is an example of how this code might be used in the larger project:\n\n```\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\nIn this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned.", + "questions": "1. What is the purpose of the `ErgoLikeStateContext` trait?\n - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context.\n\n2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`?\n - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`.\n\n3. What is the purpose of the `CErgoLikeStateContext` case class?\n - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.json new file mode 100644 index 0000000000..69ea1eae8a --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.json @@ -0,0 +1,7 @@ +{ + "fileName": "TransactionContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "summary": "The code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. \n\nThe TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself.\n\nThe purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext.\n\nOne potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network.\n\nOverall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "1. What is the purpose of the TransactionContext class?\n- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself.\n\n2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types?\n- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed.\n\n3. What is the meaning of the TODO comment in the code?\n- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.json new file mode 100644 index 0000000000..f5b83e3f03 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.json @@ -0,0 +1,31 @@ +{ + "folderName": "context", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "files": [ + { + "fileName": "ErgoLikeParameters.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "summary": "The code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. \n\nThe trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. \n\nIn addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. \n\nThis code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. \n\nHere is an example of how one of these methods might be used:\n\n```\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\nThis code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data.\n\n2. What are the expected data types for the return values of the methods defined in this trait?\n \n The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte.\n\n3. Are all the parameters defined in this trait adjustable via miners voting or just some of them?\n \n It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting." + }, + { + "fileName": "ErgoLikeStateContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "summary": "The code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block.\n\nThe case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait.\n\nThis code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated.\n\nHere is an example of how this code might be used in the larger project:\n\n```\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\nIn this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned.", + "questions": "1. What is the purpose of the `ErgoLikeStateContext` trait?\n - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context.\n\n2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`?\n - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`.\n\n3. What is the purpose of the `CErgoLikeStateContext` case class?\n - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods." + }, + { + "fileName": "TransactionContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "summary": "The code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. \n\nThe TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself.\n\nThe purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext.\n\nOne potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network.\n\nOverall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "1. What is the purpose of the TransactionContext class?\n- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself.\n\n2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types?\n- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed.\n\n3. What is the meaning of the TODO comment in the code?\n- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context` folder contains code related to the Ergo Platform SDK wallet protocol context. This context is essential for managing and validating transactions on the Ergo platform.\n\n**ErgoLikeParameters.scala** defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n**ErgoLikeStateContext.scala** defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n**TransactionContext.scala** is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.json new file mode 100644 index 0000000000..bf17d234c4 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.json @@ -0,0 +1,41 @@ +{ + "folderName": "protocol", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol", + "files": [], + "folders": [ + { + "folderName": "context", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "files": [ + { + "fileName": "ErgoLikeParameters.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "summary": "The code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. \n\nThe trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. \n\nIn addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. \n\nThis code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. \n\nHere is an example of how one of these methods might be used:\n\n```\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\nThis code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data.\n\n2. What are the expected data types for the return values of the methods defined in this trait?\n \n The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte.\n\n3. Are all the parameters defined in this trait adjustable via miners voting or just some of them?\n \n It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting." + }, + { + "fileName": "ErgoLikeStateContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "summary": "The code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block.\n\nThe case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait.\n\nThis code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated.\n\nHere is an example of how this code might be used in the larger project:\n\n```\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\nIn this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned.", + "questions": "1. What is the purpose of the `ErgoLikeStateContext` trait?\n - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context.\n\n2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`?\n - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`.\n\n3. What is the purpose of the `CErgoLikeStateContext` case class?\n - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods." + }, + { + "fileName": "TransactionContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "summary": "The code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. \n\nThe TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself.\n\nThe purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext.\n\nOne potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network.\n\nOverall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "1. What is the purpose of the TransactionContext class?\n- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself.\n\n2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types?\n- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed.\n\n3. What is the meaning of the TODO comment in the code?\n- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context` folder contains code related to the Ergo Platform SDK wallet protocol context. This context is essential for managing and validating transactions on the Ergo platform.\n\n**ErgoLikeParameters.scala** defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n**ErgoLikeStateContext.scala** defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n**TransactionContext.scala** is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "" + } + ], + "summary": "The code in this folder is part of the Ergo Platform SDK wallet protocol and is responsible for managing and validating transactions on the Ergo platform. It consists of three main Scala files: `ErgoLikeParameters.scala`, `ErgoLikeStateContext.scala`, and `TransactionContext.scala`.\n\n`ErgoLikeParameters.scala` defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n`ErgoLikeStateContext.scala` defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n`TransactionContext.scala` is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.\n\nIn summary, the code in this folder is essential for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.json new file mode 100644 index 0000000000..eee6455104 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.json @@ -0,0 +1,7 @@ +{ + "fileName": "DerivationPath.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "summary": "The code defines a class called `DerivationPath` which represents a hierarchical deterministic (HD) key derivation path. The HD key derivation path is a sequence of integers that represents a path from the root of a tree of keys to a particular key. The class has methods to encode and decode the path as a string, to convert the path to a public or private branch, to find the next available path index for a new key, and to check if the path corresponds to a specific derivation path.\n\nThe `DerivationPath` class has a constructor that takes a sequence of integers and a boolean flag indicating whether the path is from the public or private branch. The class has methods to get the depth of the path, the last element of the path, and whether the path is a master path. The class also has methods to create a new path by extending the current path with a new index, increasing the last element of the path, and converting the path to a public or private branch.\n\nThe `DerivationPath` class has a method to encode the path as a parsable string. The method first checks whether the path is from the public or private branch and adds the appropriate prefix to the string. The method then converts each element of the path to a string and adds a forward slash between each element.\n\nThe `DerivationPath` class has a method to find the next available path index for a new key. The method takes a list of previously generated keys and a boolean flag indicating whether to use pre-EIP3 derivation or not. The method first checks whether there are any keys generated and whether the last key is a master key. If there are no keys generated or the last key is a master key, the method returns the first key in the specified derivation path. If the last key corresponds to the EIP-3 derivation path, the method returns a new path with the last element increased by one. Otherwise, the method finds the maximum index of the last non-hardened segment of each key and returns a new path with the last non-hardened segment increased by one.\n\nThe `DerivationPath` class has a method to check whether the path corresponds to the EIP-3 derivation path. The method checks whether the tail of the path matches the first three elements of the EIP-3 derivation path.\n\nThe `DerivationPath` class has a method to convert the path to a byte array using a `DerivationPathSerializer`. The `DerivationPathSerializer` is a Sigma serializer that serializes the path as a sequence of bytes. The `DerivationPathSerializer` has methods to serialize and parse the path.\n\nOverall, the `DerivationPath` class provides a way to represent and manipulate HD key derivation paths. The class can be used in the larger project to generate and manage keys for the Ergo platform. For example, the class can be used to generate new keys for transactions or to manage the keys in a wallet.", + "questions": "1. What is the purpose of the DerivationPath class?\n- The DerivationPath class represents a hierarchical deterministic (HD) key derivation path, as defined in the BIP-32 specification, and provides methods for encoding, decoding, and manipulating such paths.\n\n2. What is the difference between a public and private branch in a derivation path?\n- A public branch in a derivation path corresponds to a chain of public keys, while a private branch corresponds to a chain of private keys. Public branches can be used to derive child public keys, while private branches can be used to derive child private keys.\n\n3. What is the purpose of the DerivationPathSerializer class?\n- The DerivationPathSerializer class is a SigmaSerializer implementation that provides methods for serializing and deserializing DerivationPath objects to and from byte arrays, respectively. This allows for the efficient storage and transmission of HD key derivation paths." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.json new file mode 100644 index 0000000000..33648b9c56 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExtendedKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "summary": "The code defines a trait called `ExtendedKey` which is used to represent extended private and public keys in a cryptocurrency wallet. The trait defines two subtypes of extended keys: `k` for private keys and `K` for public keys. Each extended key is represented as a tuple of the key and a chain code `c`. The chain code is a 32-byte value that is identical for corresponding private and public keys. \n\nThe trait also defines a method `child(idx: Int): T` which is used to compute the corresponding child extended key given a parent extended key and an index `idx`. The algorithm to compute the child key depends on whether the child is a hardened key or not, and whether we're talking about private or public keys. The trait does not provide an implementation for this method, but it is expected to be implemented in derived classes.\n\nThe `derive(upPath: DerivationPath): T` method is used to derive a child key from a parent key given a derivation path. The method checks that the given derivation path is compatible with the current path and then iteratively computes the child key using the `child` method. \n\nOverall, this code provides a foundation for working with extended keys in a cryptocurrency wallet. It allows for the computation of child keys from parent keys and provides a way to represent extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. \n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```", + "questions": "1. What is the purpose of the ExtendedKey trait?\n- The ExtendedKey trait defines the basic structure and functionality of extended private and public keys, including the ability to derive child keys.\n\n2. What is the significance of the chain code in extended keys?\n- The chain code is an extra 256 bits of entropy added to both private and public keys, which is identical for corresponding keys and is used in the derivation of child keys.\n\n3. What is the purpose of the derive method in the ExtendedKey trait?\n- The derive method takes a derivation path and returns the corresponding extended key, ensuring that the path is compatible with the current key and using the child method to derive the key." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.json new file mode 100644 index 0000000000..25400e2427 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExtendedPublicKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "summary": "The code defines a class called `ExtendedPublicKey` which represents a public key, its chain code, and its path in a key tree. This class is used in the larger project to derive child public keys from a given parent public key. The `ExtendedPublicKey` class has three fields: `keyBytes`, `chainCode`, and `path`. `keyBytes` is an array of bytes representing the public key, `chainCode` is an array of bytes representing the chain code, and `path` is an instance of the `DerivationPath` class representing the path in the key tree.\n\nThe `ExtendedPublicKey` class has two methods: `key` and `child`. The `key` method returns an instance of `ProveDlog` which represents the public key. The `child` method takes an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. The `ExtendedPublicKey` class also overrides the `equals`, `hashCode`, and `toString` methods.\n\nThe `ExtendedPublicKey` object has a method called `deriveChildPublicKey` which takes a parent public key and an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. This method uses the `CryptoFacade` object to derive the child public key from the parent public key and the index. The `deriveChildPublicKey` method is tail-recursive and supports public key derivation for non-hardened keys.\n\nThe `ExtendedPublicKeySerializer` object defines a serializer for the `ExtendedPublicKey` class. This serializer is used to serialize and deserialize instances of `ExtendedPublicKey` to and from bytes.\n\nOverall, this code provides functionality for deriving child public keys from a given parent public key. This is useful in the larger project for generating a hierarchy of public keys for use in a hierarchical deterministic wallet.", + "questions": "1. What is the purpose of the ExtendedPublicKey class?\n- The ExtendedPublicKey class represents a public key, its chain code, and path in a key tree, following the BIP-0032 specification.\n\n2. What is the purpose of the deriveChildPublicKey method in the ExtendedPublicKey object?\n- The deriveChildPublicKey method is used to derive a child public key from a parent public key, following the BIP-0032 specification.\n\n3. What is the purpose of the ExtendedPublicKeySerializer object?\n- The ExtendedPublicKeySerializer object is used to serialize and deserialize ExtendedPublicKey objects, including their key bytes, chain code, and derivation path." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.json new file mode 100644 index 0000000000..e60dad7f5a --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.json @@ -0,0 +1,7 @@ +{ + "fileName": "ExtendedSecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "summary": "The code defines a class called `ExtendedSecretKey` which represents a secret key, its chain code, and its path in a key tree. The class extends `ExtendedKey` and implements `SecretKey`. It also defines methods for deriving child secret keys, computing public keys, and checking if the key is erased. \n\nThe `ExtendedSecretKey` class is used in the larger project for generating and managing secret keys. It is part of a larger wallet system that allows users to store and manage their cryptocurrency assets. The `ExtendedSecretKey` class is used to derive child keys from a parent key, which is useful for generating a hierarchical deterministic (HD) wallet. HD wallets allow users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. \n\nThe `ExtendedSecretKey` class also provides methods for computing public keys and checking if the key is erased. The `publicKey` method computes the corresponding public key for the secret key, while the `isErased` method checks if the key has been erased (i.e., all bytes are zero). \n\nThe `ExtendedSecretKey` class is serialized using the `SigmaSerializer` interface, which allows instances of the class to be converted to and from byte arrays. The `ExtendedSecretKeySerializer` object provides methods for serializing and deserializing instances of the `ExtendedSecretKey` class. \n\nOverall, the `ExtendedSecretKey` class is an important component of the larger wallet system and provides functionality for generating and managing secret keys. Its methods for deriving child keys and computing public keys make it useful for generating HD wallets, while its serialization methods allow instances of the class to be stored and retrieved from disk.", + "questions": "1. What is the purpose of the ExtendedSecretKey class?\n- The ExtendedSecretKey class represents a secret key, its chain code, and path in a key tree, and is used for key derivation.\n\n2. What is the difference between the deriveChildSecretKey and deriveChildPublicKey methods in the ExtendedSecretKey object?\n- The deriveChildSecretKey method derives a child secret key from a parent secret key, while the deriveChildPublicKey method derives a child public key from a parent secret key.\n\n3. What is the usePre1627KeyDerivation parameter in the deriveMasterKey method of the ExtendedSecretKey object?\n- The usePre1627KeyDerivation parameter is used to specify whether to use the incorrect (previous) BIP32 derivation method, and is expected to be false for new wallets and true for old pre-1627 wallets." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.json new file mode 100644 index 0000000000..754d349326 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.json @@ -0,0 +1,7 @@ +{ + "fileName": "Index.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "summary": "The code in this file defines a Scala object called \"Index\" that contains several methods related to indexing and serialization of integers. The purpose of this code is to provide a set of utility functions that can be used by other parts of the project to manage and manipulate indexes.\n\nThe first method defined in the object is \"hardIndex\", which takes an integer as input and returns a new integer with the HardRangeStart value (0x80000000) bitwise ORed with the input integer. This method is used to create a \"hardened\" index, which is a special type of index used in certain cryptographic protocols.\n\nThe second method, \"isHardened\", takes an integer as input and returns a boolean indicating whether the input integer is a hardened index. This method is used to check whether an index is hardened before performing certain operations on it.\n\nThe third method, \"serializeIndex\", takes an integer as input and returns an array of bytes representing the serialized form of the integer. This method is used to convert an index into a format that can be stored or transmitted.\n\nThe fourth method, \"parseIndex\", takes an array of bytes as input and returns the integer value represented by the bytes. This method is used to convert a serialized index back into its original integer form.\n\nOverall, this code provides a set of utility functions that can be used to manage and manipulate indexes in a standardized way. Other parts of the project can use these functions to ensure consistency and compatibility when working with indexes. For example, if a module needs to serialize an index for storage in a database, it can use the \"serializeIndex\" method to ensure that the index is stored in a consistent format. Similarly, if a module needs to check whether an index is hardened before performing a cryptographic operation, it can use the \"isHardened\" method to ensure that the operation is performed correctly.", + "questions": "1. What is the purpose of the `Index` object and its methods?\n - The `Index` object provides methods for working with indexes in a specific range and converting them to and from byte arrays.\n2. What is the significance of the `HardRangeStart` value?\n - The `HardRangeStart` value is used to mark indexes in a specific range as \"hardened\", which is a concept in cryptography that adds additional security to certain operations.\n3. Are there any potential issues with the `serializeIndex` and `parseIndex` methods?\n - It is possible that these methods may not handle edge cases or unexpected input correctly, so it would be important to thoroughly test them and potentially add error handling." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.json new file mode 100644 index 0000000000..e31743979d --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.json @@ -0,0 +1,7 @@ +{ + "fileName": "SecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "summary": "This code defines a set of traits and classes for handling secret keys in the Ergo Platform SDK wallet. The purpose of this code is to provide a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. \n\nThe `SecretKey` trait defines a basic interface for secret data, with a single method `privateInput` that returns the private input of a Sigma protocol. This trait is extended by the `PrimitiveSecretKey` trait, which represents a secret that does not have a derivation scheme. \n\nThe `PrimitiveSecretKey` object provides a factory method for creating instances of `PrimitiveSecretKey` from a `SigmaProtocolPrivateInput`. This method uses pattern matching to determine the type of the input and returns either a `DlogSecretKey` or a `DhtSecretKey` instance, depending on the input type. \n\nThe `DlogSecretKey` and `DhtSecretKey` classes represent secret exponents of a group element, i.e. secret `w` such as `h = g^^w`, where `g` is a group generator and `h` is a public key. `DlogSecretKey` represents the secret exponent of a group element in a discrete logarithm group, while `DhtSecretKey` represents the secret exponent of a Diffie-Hellman tuple. Both classes take a private input in the form of a Sigma-protocol private input as a constructor argument. \n\nOverall, this code provides a basic framework for handling secret keys in the Ergo Platform SDK wallet. It allows for the creation of instances of `PrimitiveSecretKey`, which can be used to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples. These secret keys can then be used in other parts of the wallet to perform various cryptographic operations. \n\nExample usage:\n\n```\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines traits and case classes for secret keys used in Sigma protocols.\n\n2. What Sigma protocols are supported by this code?\n- The code supports Sigma protocols that use DLogProverInput and DiffieHellmanTupleProverInput.\n\n3. What is the difference between DlogSecretKey and DhtSecretKey?\n- DlogSecretKey represents the secret exponent of a group element, while DhtSecretKey represents the secret exponent of a Diffie-Hellman tuple." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.json new file mode 100644 index 0000000000..df4c7a6551 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.json @@ -0,0 +1,52 @@ +{ + "folderName": "secrets", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets", + "files": [ + { + "fileName": "DerivationPath.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "summary": "The code defines a class called `DerivationPath` which represents a hierarchical deterministic (HD) key derivation path. The HD key derivation path is a sequence of integers that represents a path from the root of a tree of keys to a particular key. The class has methods to encode and decode the path as a string, to convert the path to a public or private branch, to find the next available path index for a new key, and to check if the path corresponds to a specific derivation path.\n\nThe `DerivationPath` class has a constructor that takes a sequence of integers and a boolean flag indicating whether the path is from the public or private branch. The class has methods to get the depth of the path, the last element of the path, and whether the path is a master path. The class also has methods to create a new path by extending the current path with a new index, increasing the last element of the path, and converting the path to a public or private branch.\n\nThe `DerivationPath` class has a method to encode the path as a parsable string. The method first checks whether the path is from the public or private branch and adds the appropriate prefix to the string. The method then converts each element of the path to a string and adds a forward slash between each element.\n\nThe `DerivationPath` class has a method to find the next available path index for a new key. The method takes a list of previously generated keys and a boolean flag indicating whether to use pre-EIP3 derivation or not. The method first checks whether there are any keys generated and whether the last key is a master key. If there are no keys generated or the last key is a master key, the method returns the first key in the specified derivation path. If the last key corresponds to the EIP-3 derivation path, the method returns a new path with the last element increased by one. Otherwise, the method finds the maximum index of the last non-hardened segment of each key and returns a new path with the last non-hardened segment increased by one.\n\nThe `DerivationPath` class has a method to check whether the path corresponds to the EIP-3 derivation path. The method checks whether the tail of the path matches the first three elements of the EIP-3 derivation path.\n\nThe `DerivationPath` class has a method to convert the path to a byte array using a `DerivationPathSerializer`. The `DerivationPathSerializer` is a Sigma serializer that serializes the path as a sequence of bytes. The `DerivationPathSerializer` has methods to serialize and parse the path.\n\nOverall, the `DerivationPath` class provides a way to represent and manipulate HD key derivation paths. The class can be used in the larger project to generate and manage keys for the Ergo platform. For example, the class can be used to generate new keys for transactions or to manage the keys in a wallet.", + "questions": "1. What is the purpose of the DerivationPath class?\n- The DerivationPath class represents a hierarchical deterministic (HD) key derivation path, as defined in the BIP-32 specification, and provides methods for encoding, decoding, and manipulating such paths.\n\n2. What is the difference between a public and private branch in a derivation path?\n- A public branch in a derivation path corresponds to a chain of public keys, while a private branch corresponds to a chain of private keys. Public branches can be used to derive child public keys, while private branches can be used to derive child private keys.\n\n3. What is the purpose of the DerivationPathSerializer class?\n- The DerivationPathSerializer class is a SigmaSerializer implementation that provides methods for serializing and deserializing DerivationPath objects to and from byte arrays, respectively. This allows for the efficient storage and transmission of HD key derivation paths." + }, + { + "fileName": "ExtendedKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "summary": "The code defines a trait called `ExtendedKey` which is used to represent extended private and public keys in a cryptocurrency wallet. The trait defines two subtypes of extended keys: `k` for private keys and `K` for public keys. Each extended key is represented as a tuple of the key and a chain code `c`. The chain code is a 32-byte value that is identical for corresponding private and public keys. \n\nThe trait also defines a method `child(idx: Int): T` which is used to compute the corresponding child extended key given a parent extended key and an index `idx`. The algorithm to compute the child key depends on whether the child is a hardened key or not, and whether we're talking about private or public keys. The trait does not provide an implementation for this method, but it is expected to be implemented in derived classes.\n\nThe `derive(upPath: DerivationPath): T` method is used to derive a child key from a parent key given a derivation path. The method checks that the given derivation path is compatible with the current path and then iteratively computes the child key using the `child` method. \n\nOverall, this code provides a foundation for working with extended keys in a cryptocurrency wallet. It allows for the computation of child keys from parent keys and provides a way to represent extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. \n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```", + "questions": "1. What is the purpose of the ExtendedKey trait?\n- The ExtendedKey trait defines the basic structure and functionality of extended private and public keys, including the ability to derive child keys.\n\n2. What is the significance of the chain code in extended keys?\n- The chain code is an extra 256 bits of entropy added to both private and public keys, which is identical for corresponding keys and is used in the derivation of child keys.\n\n3. What is the purpose of the derive method in the ExtendedKey trait?\n- The derive method takes a derivation path and returns the corresponding extended key, ensuring that the path is compatible with the current key and using the child method to derive the key." + }, + { + "fileName": "ExtendedPublicKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "summary": "The code defines a class called `ExtendedPublicKey` which represents a public key, its chain code, and its path in a key tree. This class is used in the larger project to derive child public keys from a given parent public key. The `ExtendedPublicKey` class has three fields: `keyBytes`, `chainCode`, and `path`. `keyBytes` is an array of bytes representing the public key, `chainCode` is an array of bytes representing the chain code, and `path` is an instance of the `DerivationPath` class representing the path in the key tree.\n\nThe `ExtendedPublicKey` class has two methods: `key` and `child`. The `key` method returns an instance of `ProveDlog` which represents the public key. The `child` method takes an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. The `ExtendedPublicKey` class also overrides the `equals`, `hashCode`, and `toString` methods.\n\nThe `ExtendedPublicKey` object has a method called `deriveChildPublicKey` which takes a parent public key and an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. This method uses the `CryptoFacade` object to derive the child public key from the parent public key and the index. The `deriveChildPublicKey` method is tail-recursive and supports public key derivation for non-hardened keys.\n\nThe `ExtendedPublicKeySerializer` object defines a serializer for the `ExtendedPublicKey` class. This serializer is used to serialize and deserialize instances of `ExtendedPublicKey` to and from bytes.\n\nOverall, this code provides functionality for deriving child public keys from a given parent public key. This is useful in the larger project for generating a hierarchy of public keys for use in a hierarchical deterministic wallet.", + "questions": "1. What is the purpose of the ExtendedPublicKey class?\n- The ExtendedPublicKey class represents a public key, its chain code, and path in a key tree, following the BIP-0032 specification.\n\n2. What is the purpose of the deriveChildPublicKey method in the ExtendedPublicKey object?\n- The deriveChildPublicKey method is used to derive a child public key from a parent public key, following the BIP-0032 specification.\n\n3. What is the purpose of the ExtendedPublicKeySerializer object?\n- The ExtendedPublicKeySerializer object is used to serialize and deserialize ExtendedPublicKey objects, including their key bytes, chain code, and derivation path." + }, + { + "fileName": "ExtendedSecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "summary": "The code defines a class called `ExtendedSecretKey` which represents a secret key, its chain code, and its path in a key tree. The class extends `ExtendedKey` and implements `SecretKey`. It also defines methods for deriving child secret keys, computing public keys, and checking if the key is erased. \n\nThe `ExtendedSecretKey` class is used in the larger project for generating and managing secret keys. It is part of a larger wallet system that allows users to store and manage their cryptocurrency assets. The `ExtendedSecretKey` class is used to derive child keys from a parent key, which is useful for generating a hierarchical deterministic (HD) wallet. HD wallets allow users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. \n\nThe `ExtendedSecretKey` class also provides methods for computing public keys and checking if the key is erased. The `publicKey` method computes the corresponding public key for the secret key, while the `isErased` method checks if the key has been erased (i.e., all bytes are zero). \n\nThe `ExtendedSecretKey` class is serialized using the `SigmaSerializer` interface, which allows instances of the class to be converted to and from byte arrays. The `ExtendedSecretKeySerializer` object provides methods for serializing and deserializing instances of the `ExtendedSecretKey` class. \n\nOverall, the `ExtendedSecretKey` class is an important component of the larger wallet system and provides functionality for generating and managing secret keys. Its methods for deriving child keys and computing public keys make it useful for generating HD wallets, while its serialization methods allow instances of the class to be stored and retrieved from disk.", + "questions": "1. What is the purpose of the ExtendedSecretKey class?\n- The ExtendedSecretKey class represents a secret key, its chain code, and path in a key tree, and is used for key derivation.\n\n2. What is the difference between the deriveChildSecretKey and deriveChildPublicKey methods in the ExtendedSecretKey object?\n- The deriveChildSecretKey method derives a child secret key from a parent secret key, while the deriveChildPublicKey method derives a child public key from a parent secret key.\n\n3. What is the usePre1627KeyDerivation parameter in the deriveMasterKey method of the ExtendedSecretKey object?\n- The usePre1627KeyDerivation parameter is used to specify whether to use the incorrect (previous) BIP32 derivation method, and is expected to be false for new wallets and true for old pre-1627 wallets." + }, + { + "fileName": "Index.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "summary": "The code in this file defines a Scala object called \"Index\" that contains several methods related to indexing and serialization of integers. The purpose of this code is to provide a set of utility functions that can be used by other parts of the project to manage and manipulate indexes.\n\nThe first method defined in the object is \"hardIndex\", which takes an integer as input and returns a new integer with the HardRangeStart value (0x80000000) bitwise ORed with the input integer. This method is used to create a \"hardened\" index, which is a special type of index used in certain cryptographic protocols.\n\nThe second method, \"isHardened\", takes an integer as input and returns a boolean indicating whether the input integer is a hardened index. This method is used to check whether an index is hardened before performing certain operations on it.\n\nThe third method, \"serializeIndex\", takes an integer as input and returns an array of bytes representing the serialized form of the integer. This method is used to convert an index into a format that can be stored or transmitted.\n\nThe fourth method, \"parseIndex\", takes an array of bytes as input and returns the integer value represented by the bytes. This method is used to convert a serialized index back into its original integer form.\n\nOverall, this code provides a set of utility functions that can be used to manage and manipulate indexes in a standardized way. Other parts of the project can use these functions to ensure consistency and compatibility when working with indexes. For example, if a module needs to serialize an index for storage in a database, it can use the \"serializeIndex\" method to ensure that the index is stored in a consistent format. Similarly, if a module needs to check whether an index is hardened before performing a cryptographic operation, it can use the \"isHardened\" method to ensure that the operation is performed correctly.", + "questions": "1. What is the purpose of the `Index` object and its methods?\n - The `Index` object provides methods for working with indexes in a specific range and converting them to and from byte arrays.\n2. What is the significance of the `HardRangeStart` value?\n - The `HardRangeStart` value is used to mark indexes in a specific range as \"hardened\", which is a concept in cryptography that adds additional security to certain operations.\n3. Are there any potential issues with the `serializeIndex` and `parseIndex` methods?\n - It is possible that these methods may not handle edge cases or unexpected input correctly, so it would be important to thoroughly test them and potentially add error handling." + }, + { + "fileName": "SecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "summary": "This code defines a set of traits and classes for handling secret keys in the Ergo Platform SDK wallet. The purpose of this code is to provide a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. \n\nThe `SecretKey` trait defines a basic interface for secret data, with a single method `privateInput` that returns the private input of a Sigma protocol. This trait is extended by the `PrimitiveSecretKey` trait, which represents a secret that does not have a derivation scheme. \n\nThe `PrimitiveSecretKey` object provides a factory method for creating instances of `PrimitiveSecretKey` from a `SigmaProtocolPrivateInput`. This method uses pattern matching to determine the type of the input and returns either a `DlogSecretKey` or a `DhtSecretKey` instance, depending on the input type. \n\nThe `DlogSecretKey` and `DhtSecretKey` classes represent secret exponents of a group element, i.e. secret `w` such as `h = g^^w`, where `g` is a group generator and `h` is a public key. `DlogSecretKey` represents the secret exponent of a group element in a discrete logarithm group, while `DhtSecretKey` represents the secret exponent of a Diffie-Hellman tuple. Both classes take a private input in the form of a Sigma-protocol private input as a constructor argument. \n\nOverall, this code provides a basic framework for handling secret keys in the Ergo Platform SDK wallet. It allows for the creation of instances of `PrimitiveSecretKey`, which can be used to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples. These secret keys can then be used in other parts of the wallet to perform various cryptographic operations. \n\nExample usage:\n\n```\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines traits and case classes for secret keys used in Sigma protocols.\n\n2. What Sigma protocols are supported by this code?\n- The code supports Sigma protocols that use DLogProverInput and DiffieHellmanTupleProverInput.\n\n3. What is the difference between DlogSecretKey and DhtSecretKey?\n- DlogSecretKey represents the secret exponent of a group element, while DhtSecretKey represents the secret exponent of a Diffie-Hellman tuple." + } + ], + "folders": [], + "summary": "The code in this folder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, which allows users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets.\n\n`DerivationPath.scala` defines a class for representing and manipulating HD key derivation paths. It provides methods for encoding and decoding paths, converting paths to public or private branches, finding the next available path index for a new key, and checking if a path corresponds to a specific derivation path. This class can be used to generate new keys for transactions or to manage keys in a wallet.\n\n`ExtendedKey.scala` defines a trait for representing extended private and public keys in a cryptocurrency wallet. It provides methods for computing child keys from parent keys and representing extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum.\n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```\n\n`ExtendedPublicKey.scala` and `ExtendedSecretKey.scala` define classes for representing public and secret keys, their chain codes, and their paths in a key tree. They provide methods for deriving child keys, computing public keys, and checking if a key is erased. These classes are used to generate and manage keys in the larger wallet system.\n\n`Index.scala` provides utility functions for managing and manipulating indexes, such as creating hardened indexes, checking if an index is hardened, and serializing and parsing indexes. These functions ensure consistency and compatibility when working with indexes in other parts of the project.\n\n`SecretKey.scala` defines a set of traits and classes for handling secret keys in the wallet. It provides a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. Instances of `PrimitiveSecretKey` can be created to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples, which can then be used in other parts of the wallet to perform various cryptographic operations.\n\nExample usage:\n\n```scala\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```\n\nOverall, the code in this folder is crucial for managing keys and key derivation paths in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.json new file mode 100644 index 0000000000..4c2082f12e --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.json @@ -0,0 +1,7 @@ +{ + "fileName": "EncryptionSettings.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "summary": "The code above defines a Scala package called `org.ergoplatform.sdk.wallet.settings` that contains a case class called `EncryptionSettings` and two implicit objects that implement the `Encoder` and `Decoder` traits from the `io.circe` library. \n\nThe `EncryptionSettings` case class has three parameters: `prf`, `c`, and `dkLen`. These parameters are used to define the encryption parameters for a password-based key derivation function (PBKDF2). The `prf` parameter is a string that represents the pseudo-random function used by the PBKDF2 algorithm. The `c` parameter is an integer that represents the number of iterations used by the PBKDF2 algorithm. The `dkLen` parameter is an integer that represents the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. This object defines a `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object that represents the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`. The values of these fields are obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. This object defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance that represents the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object that represents the `EncryptionSettings` instance. The `as` method is used to extract the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code is used to define the encryption parameters for the PBKDF2 algorithm used by the larger project. The `EncryptionSettings` case class can be used to create instances of the encryption parameters, and the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects can be used to convert instances of the `EncryptionSettings` case class to and from JSON format. This allows the encryption parameters to be stored and retrieved from a file or database. \n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```", + "questions": "1. What is the purpose of the `EncryptionSettings` class?\n- The `EncryptionSettings` class represents encryption parameters, including the pseudo-random function, number of PBKDF2 iterations, and desired bit-length of the derived key.\n\n2. What is the purpose of the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects?\n- The `EncryptionSettingsEncoder` object provides a way to encode `EncryptionSettings` objects as JSON, while the `EncryptionSettingsDecoder` object provides a way to decode JSON into `EncryptionSettings` objects.\n\n3. Why is the `cats.syntax.either._` import needed?\n- The `cats.syntax.either._` import is needed for compatibility with Scala 2.11." +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.json new file mode 100644 index 0000000000..7c73e06903 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.json @@ -0,0 +1,17 @@ +{ + "folderName": "settings", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings", + "files": [ + { + "fileName": "EncryptionSettings.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "summary": "The code above defines a Scala package called `org.ergoplatform.sdk.wallet.settings` that contains a case class called `EncryptionSettings` and two implicit objects that implement the `Encoder` and `Decoder` traits from the `io.circe` library. \n\nThe `EncryptionSettings` case class has three parameters: `prf`, `c`, and `dkLen`. These parameters are used to define the encryption parameters for a password-based key derivation function (PBKDF2). The `prf` parameter is a string that represents the pseudo-random function used by the PBKDF2 algorithm. The `c` parameter is an integer that represents the number of iterations used by the PBKDF2 algorithm. The `dkLen` parameter is an integer that represents the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. This object defines a `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object that represents the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`. The values of these fields are obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. This object defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance that represents the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object that represents the `EncryptionSettings` instance. The `as` method is used to extract the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code is used to define the encryption parameters for the PBKDF2 algorithm used by the larger project. The `EncryptionSettings` case class can be used to create instances of the encryption parameters, and the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects can be used to convert instances of the `EncryptionSettings` case class to and from JSON format. This allows the encryption parameters to be stored and retrieved from a file or database. \n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```", + "questions": "1. What is the purpose of the `EncryptionSettings` class?\n- The `EncryptionSettings` class represents encryption parameters, including the pseudo-random function, number of PBKDF2 iterations, and desired bit-length of the derived key.\n\n2. What is the purpose of the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects?\n- The `EncryptionSettingsEncoder` object provides a way to encode `EncryptionSettings` objects as JSON, while the `EncryptionSettingsDecoder` object provides a way to decode JSON into `EncryptionSettings` objects.\n\n3. Why is the `cats.syntax.either._` import needed?\n- The `cats.syntax.either._` import is needed for compatibility with Scala 2.11." + } + ], + "folders": [], + "summary": "The `EncryptionSettings.scala` file is part of the `org.ergoplatform.sdk.wallet.settings` package and provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. The main purpose of this code is to define the encryption parameters, store them in a JSON format, and retrieve them when needed.\n\nThe `EncryptionSettings` case class has three parameters:\n\n- `prf`: A string representing the pseudo-random function used by the PBKDF2 algorithm.\n- `c`: An integer representing the number of iterations used by the PBKDF2 algorithm.\n- `dkLen`: An integer representing the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object representing the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`, with values obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance representing the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object representing the `EncryptionSettings` instance, and the `as` method extracts the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code can be used in the larger project to define encryption parameters for the PBKDF2 algorithm, store them in a JSON format, and retrieve them when needed. This allows the encryption parameters to be stored and retrieved from a file or database.\n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```\n\nIn summary, the `EncryptionSettings.scala` file provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.json new file mode 100644 index 0000000000..1179ed861f --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.json @@ -0,0 +1,135 @@ +{ + "folderName": "wallet", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet", + "files": [ + { + "fileName": "AssetUtils.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala", + "summary": "The `AssetUtils` object provides utility functions for working with token assets in the Ergo blockchain. The functions are designed to work with `TokensMap`, which is a type alias for `Map[ModifierId, Long]`. The `ModifierId` is a unique identifier for a transaction output, and the `Long` value represents the amount of tokens associated with that output.\n\nThe `mergeAssetsMut` function takes a mutable map `into` and one or more `TokensMap` instances `from`. It merges the `from` maps into the `into` map by adding the token amounts for each `ModifierId`. If a `ModifierId` is present in both the `into` and `from` maps, the amounts are added together. This function modifies the `into` map in place.\n\n```scala\nval into: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval from1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval from2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nAssetUtils.mergeAssetsMut(into, from1, from2)\n// into now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `mergeAssets` function is similar to `mergeAssetsMut`, but it returns a new `TokensMap` instead of modifying an existing one. It takes an initial `TokensMap` and one or more additional `TokensMap` instances to merge into it. The resulting `TokensMap` contains the merged token amounts.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval map1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval map2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2)\n// merged contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nThe `subtractAssets` function takes an initial `TokensMap` and one or more `TokensMap` instances to subtract from it. It returns a new `TokensMap` with the token amounts subtracted. If a `ModifierId` is present in both the initial map and the subtractor maps, the amounts are subtracted from the initial map. If the resulting amount is zero, the `ModifierId` is removed from the map.\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval subtractor2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nval subtracted: TokensMap = AssetUtils.subtractAssets(initialMap, subtractor1, subtractor2)\n// subtracted contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nThe `subtractAssetsMut` function takes a mutable map `from` and a `TokensMap` `subtractor`. It subtracts the token amounts in the `subtractor` map from the `from` map. If the resulting amount is zero, the `ModifierId` is removed from the `from` map. This function modifies the `from` map in place.\n\n```scala\nval from: mutable.Map[ModifierId, Long] = mutable.Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval subtractor: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L,\n ModifierId @@ Array.fill(32)(1.toByte) -> 75L\n)\nAssetUtils.subtractAssetsMut(from, subtractor)\n// from now contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 75L\n// )\n```\n\nOverall, these utility functions provide a convenient way to work with token assets in the Ergo blockchain. They can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens.", + "questions": "1. What is the purpose of the `AssetUtils` object?\n- The `AssetUtils` object provides utility functions for merging and subtracting token maps.\n\n2. What is the difference between the `mergeAssetsMut` and `mergeAssets` functions?\n- The `mergeAssetsMut` function takes a mutable map as its first argument and modifies it in place, while the `mergeAssets` function returns a new map without modifying the original.\n\n3. What happens if the `subtractAssets` function is called with a negative amount for a token or with an amount greater than the current balance?\n- The function will throw an exception with an appropriate error message indicating that the subtraction is invalid." + }, + { + "fileName": "Constants.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala", + "summary": "The code defines a set of constants used in the Ergo Platform SDK wallet. The `Constants` object contains several values that are used throughout the project. \n\nThe `ModifierIdLength` constant is used to specify the length of the modifier ID in the protocol and should not be changed. \n\nThe `CoinType` constant is used to define the coin type for the wallet. It is calculated based on the ASCII values of the letters in the word \"ergo\" and is used in the derivation path for the wallet. \n\nThe `MaxAssetsPerBox` constant specifies the maximum number of tokens that can be stored in a single box due to a byte size limit for the Ergo box. \n\nThe `preEip3DerivationPath` and `eip3DerivationPath` constants define the derivation paths for the wallet before and after the implementation of EIP-3. These paths are used to generate addresses for the wallet. \n\nThe `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants are used in the generation of mnemonic phrases for the wallet. They specify the allowed sizes for the mnemonic sentence, the allowed strengths for the entropy, and the allowed lengths for the entropy, respectively. \n\nOverall, this code provides a set of constants that are used throughout the Ergo Platform SDK wallet to ensure consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet. \n\nExample usage:\n\n```scala\nimport org.ergoplatform.sdk.wallet.Constants\n\nval coinType = Constants.CoinType\nval maxAssets = Constants.MaxAssetsPerBox\nval preEip3Path = Constants.preEip3DerivationPath\nval eip3Path = Constants.eip3DerivationPath\nval sentenceSizes = Constants.MnemonicSentenceSizes\nval allowedStrengths = Constants.AllowedStrengths\nval allowedLengths = Constants.AllowedEntropyLengths\n```", + "questions": "1. What is the purpose of the `Constants` object?\n- The `Constants` object contains various constants used in the project, such as `ModifierIdLength`, `CoinType`, `MaxAssetsPerBox`, and others.\n\n2. What is the significance of the `preEip3DerivationPath` and `eip3DerivationPath` constants?\n- These constants define the derivation paths used for generating wallet addresses before and after the implementation of EIP-3, respectively.\n\n3. What are the `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants used for?\n- These constants define the allowed sizes and strengths of mnemonic sentences and entropy lengths for generating wallet seeds." + } + ], + "folders": [ + { + "folderName": "protocol", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol", + "files": [], + "folders": [ + { + "folderName": "context", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context", + "files": [ + { + "fileName": "ErgoLikeParameters.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala", + "summary": "The code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. \n\nThe trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. \n\nIn addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. \n\nThis code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. \n\nHere is an example of how one of these methods might be used:\n\n```\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\nThis code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console.", + "questions": "1. What is the purpose of this code and what does it do?\n \n This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data.\n\n2. What are the expected data types for the return values of the methods defined in this trait?\n \n The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte.\n\n3. Are all the parameters defined in this trait adjustable via miners voting or just some of them?\n \n It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting." + }, + { + "fileName": "ErgoLikeStateContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala", + "summary": "The code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block.\n\nThe case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait.\n\nThis code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated.\n\nHere is an example of how this code might be used in the larger project:\n\n```\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\nIn this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned.", + "questions": "1. What is the purpose of the `ErgoLikeStateContext` trait?\n - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context.\n\n2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`?\n - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`.\n\n3. What is the purpose of the `CErgoLikeStateContext` case class?\n - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods." + }, + { + "fileName": "TransactionContext.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala", + "summary": "The code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. \n\nThe TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself.\n\nThe purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext.\n\nOne potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network.\n\nOverall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "1. What is the purpose of the TransactionContext class?\n- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself.\n\n2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types?\n- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed.\n\n3. What is the meaning of the TODO comment in the code?\n- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context` folder contains code related to the Ergo Platform SDK wallet protocol context. This context is essential for managing and validating transactions on the Ergo platform.\n\n**ErgoLikeParameters.scala** defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n**ErgoLikeStateContext.scala** defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n**TransactionContext.scala** is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.", + "questions": "" + } + ], + "summary": "The code in this folder is part of the Ergo Platform SDK wallet protocol and is responsible for managing and validating transactions on the Ergo platform. It consists of three main Scala files: `ErgoLikeParameters.scala`, `ErgoLikeStateContext.scala`, and `TransactionContext.scala`.\n\n`ErgoLikeParameters.scala` defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining.\n\nExample usage:\n\n```scala\nval params: ErgoLikeParameters = // get parameters from somewhere\nval storageFeeFactor: Int = params.storageFeeFactor\nprintln(s\"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs\")\n```\n\n`ErgoLikeStateContext.scala` defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform.\n\nExample usage:\n\n```scala\nval context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader)\nval tx = ErgoTransaction(inputs, outputs, dataInputs)\nval verifier = new ErgoLikeTransactionVerifier()\nval result = verifier.verify(tx, context)\n```\n\n`TransactionContext.scala` is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions.\n\nIn summary, the code in this folder is essential for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution.", + "questions": "" + }, + { + "folderName": "secrets", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets", + "files": [ + { + "fileName": "DerivationPath.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala", + "summary": "The code defines a class called `DerivationPath` which represents a hierarchical deterministic (HD) key derivation path. The HD key derivation path is a sequence of integers that represents a path from the root of a tree of keys to a particular key. The class has methods to encode and decode the path as a string, to convert the path to a public or private branch, to find the next available path index for a new key, and to check if the path corresponds to a specific derivation path.\n\nThe `DerivationPath` class has a constructor that takes a sequence of integers and a boolean flag indicating whether the path is from the public or private branch. The class has methods to get the depth of the path, the last element of the path, and whether the path is a master path. The class also has methods to create a new path by extending the current path with a new index, increasing the last element of the path, and converting the path to a public or private branch.\n\nThe `DerivationPath` class has a method to encode the path as a parsable string. The method first checks whether the path is from the public or private branch and adds the appropriate prefix to the string. The method then converts each element of the path to a string and adds a forward slash between each element.\n\nThe `DerivationPath` class has a method to find the next available path index for a new key. The method takes a list of previously generated keys and a boolean flag indicating whether to use pre-EIP3 derivation or not. The method first checks whether there are any keys generated and whether the last key is a master key. If there are no keys generated or the last key is a master key, the method returns the first key in the specified derivation path. If the last key corresponds to the EIP-3 derivation path, the method returns a new path with the last element increased by one. Otherwise, the method finds the maximum index of the last non-hardened segment of each key and returns a new path with the last non-hardened segment increased by one.\n\nThe `DerivationPath` class has a method to check whether the path corresponds to the EIP-3 derivation path. The method checks whether the tail of the path matches the first three elements of the EIP-3 derivation path.\n\nThe `DerivationPath` class has a method to convert the path to a byte array using a `DerivationPathSerializer`. The `DerivationPathSerializer` is a Sigma serializer that serializes the path as a sequence of bytes. The `DerivationPathSerializer` has methods to serialize and parse the path.\n\nOverall, the `DerivationPath` class provides a way to represent and manipulate HD key derivation paths. The class can be used in the larger project to generate and manage keys for the Ergo platform. For example, the class can be used to generate new keys for transactions or to manage the keys in a wallet.", + "questions": "1. What is the purpose of the DerivationPath class?\n- The DerivationPath class represents a hierarchical deterministic (HD) key derivation path, as defined in the BIP-32 specification, and provides methods for encoding, decoding, and manipulating such paths.\n\n2. What is the difference between a public and private branch in a derivation path?\n- A public branch in a derivation path corresponds to a chain of public keys, while a private branch corresponds to a chain of private keys. Public branches can be used to derive child public keys, while private branches can be used to derive child private keys.\n\n3. What is the purpose of the DerivationPathSerializer class?\n- The DerivationPathSerializer class is a SigmaSerializer implementation that provides methods for serializing and deserializing DerivationPath objects to and from byte arrays, respectively. This allows for the efficient storage and transmission of HD key derivation paths." + }, + { + "fileName": "ExtendedKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala", + "summary": "The code defines a trait called `ExtendedKey` which is used to represent extended private and public keys in a cryptocurrency wallet. The trait defines two subtypes of extended keys: `k` for private keys and `K` for public keys. Each extended key is represented as a tuple of the key and a chain code `c`. The chain code is a 32-byte value that is identical for corresponding private and public keys. \n\nThe trait also defines a method `child(idx: Int): T` which is used to compute the corresponding child extended key given a parent extended key and an index `idx`. The algorithm to compute the child key depends on whether the child is a hardened key or not, and whether we're talking about private or public keys. The trait does not provide an implementation for this method, but it is expected to be implemented in derived classes.\n\nThe `derive(upPath: DerivationPath): T` method is used to derive a child key from a parent key given a derivation path. The method checks that the given derivation path is compatible with the current path and then iteratively computes the child key using the `child` method. \n\nOverall, this code provides a foundation for working with extended keys in a cryptocurrency wallet. It allows for the computation of child keys from parent keys and provides a way to represent extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. \n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```", + "questions": "1. What is the purpose of the ExtendedKey trait?\n- The ExtendedKey trait defines the basic structure and functionality of extended private and public keys, including the ability to derive child keys.\n\n2. What is the significance of the chain code in extended keys?\n- The chain code is an extra 256 bits of entropy added to both private and public keys, which is identical for corresponding keys and is used in the derivation of child keys.\n\n3. What is the purpose of the derive method in the ExtendedKey trait?\n- The derive method takes a derivation path and returns the corresponding extended key, ensuring that the path is compatible with the current key and using the child method to derive the key." + }, + { + "fileName": "ExtendedPublicKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala", + "summary": "The code defines a class called `ExtendedPublicKey` which represents a public key, its chain code, and its path in a key tree. This class is used in the larger project to derive child public keys from a given parent public key. The `ExtendedPublicKey` class has three fields: `keyBytes`, `chainCode`, and `path`. `keyBytes` is an array of bytes representing the public key, `chainCode` is an array of bytes representing the chain code, and `path` is an instance of the `DerivationPath` class representing the path in the key tree.\n\nThe `ExtendedPublicKey` class has two methods: `key` and `child`. The `key` method returns an instance of `ProveDlog` which represents the public key. The `child` method takes an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. The `ExtendedPublicKey` class also overrides the `equals`, `hashCode`, and `toString` methods.\n\nThe `ExtendedPublicKey` object has a method called `deriveChildPublicKey` which takes a parent public key and an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. This method uses the `CryptoFacade` object to derive the child public key from the parent public key and the index. The `deriveChildPublicKey` method is tail-recursive and supports public key derivation for non-hardened keys.\n\nThe `ExtendedPublicKeySerializer` object defines a serializer for the `ExtendedPublicKey` class. This serializer is used to serialize and deserialize instances of `ExtendedPublicKey` to and from bytes.\n\nOverall, this code provides functionality for deriving child public keys from a given parent public key. This is useful in the larger project for generating a hierarchy of public keys for use in a hierarchical deterministic wallet.", + "questions": "1. What is the purpose of the ExtendedPublicKey class?\n- The ExtendedPublicKey class represents a public key, its chain code, and path in a key tree, following the BIP-0032 specification.\n\n2. What is the purpose of the deriveChildPublicKey method in the ExtendedPublicKey object?\n- The deriveChildPublicKey method is used to derive a child public key from a parent public key, following the BIP-0032 specification.\n\n3. What is the purpose of the ExtendedPublicKeySerializer object?\n- The ExtendedPublicKeySerializer object is used to serialize and deserialize ExtendedPublicKey objects, including their key bytes, chain code, and derivation path." + }, + { + "fileName": "ExtendedSecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala", + "summary": "The code defines a class called `ExtendedSecretKey` which represents a secret key, its chain code, and its path in a key tree. The class extends `ExtendedKey` and implements `SecretKey`. It also defines methods for deriving child secret keys, computing public keys, and checking if the key is erased. \n\nThe `ExtendedSecretKey` class is used in the larger project for generating and managing secret keys. It is part of a larger wallet system that allows users to store and manage their cryptocurrency assets. The `ExtendedSecretKey` class is used to derive child keys from a parent key, which is useful for generating a hierarchical deterministic (HD) wallet. HD wallets allow users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. \n\nThe `ExtendedSecretKey` class also provides methods for computing public keys and checking if the key is erased. The `publicKey` method computes the corresponding public key for the secret key, while the `isErased` method checks if the key has been erased (i.e., all bytes are zero). \n\nThe `ExtendedSecretKey` class is serialized using the `SigmaSerializer` interface, which allows instances of the class to be converted to and from byte arrays. The `ExtendedSecretKeySerializer` object provides methods for serializing and deserializing instances of the `ExtendedSecretKey` class. \n\nOverall, the `ExtendedSecretKey` class is an important component of the larger wallet system and provides functionality for generating and managing secret keys. Its methods for deriving child keys and computing public keys make it useful for generating HD wallets, while its serialization methods allow instances of the class to be stored and retrieved from disk.", + "questions": "1. What is the purpose of the ExtendedSecretKey class?\n- The ExtendedSecretKey class represents a secret key, its chain code, and path in a key tree, and is used for key derivation.\n\n2. What is the difference between the deriveChildSecretKey and deriveChildPublicKey methods in the ExtendedSecretKey object?\n- The deriveChildSecretKey method derives a child secret key from a parent secret key, while the deriveChildPublicKey method derives a child public key from a parent secret key.\n\n3. What is the usePre1627KeyDerivation parameter in the deriveMasterKey method of the ExtendedSecretKey object?\n- The usePre1627KeyDerivation parameter is used to specify whether to use the incorrect (previous) BIP32 derivation method, and is expected to be false for new wallets and true for old pre-1627 wallets." + }, + { + "fileName": "Index.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala", + "summary": "The code in this file defines a Scala object called \"Index\" that contains several methods related to indexing and serialization of integers. The purpose of this code is to provide a set of utility functions that can be used by other parts of the project to manage and manipulate indexes.\n\nThe first method defined in the object is \"hardIndex\", which takes an integer as input and returns a new integer with the HardRangeStart value (0x80000000) bitwise ORed with the input integer. This method is used to create a \"hardened\" index, which is a special type of index used in certain cryptographic protocols.\n\nThe second method, \"isHardened\", takes an integer as input and returns a boolean indicating whether the input integer is a hardened index. This method is used to check whether an index is hardened before performing certain operations on it.\n\nThe third method, \"serializeIndex\", takes an integer as input and returns an array of bytes representing the serialized form of the integer. This method is used to convert an index into a format that can be stored or transmitted.\n\nThe fourth method, \"parseIndex\", takes an array of bytes as input and returns the integer value represented by the bytes. This method is used to convert a serialized index back into its original integer form.\n\nOverall, this code provides a set of utility functions that can be used to manage and manipulate indexes in a standardized way. Other parts of the project can use these functions to ensure consistency and compatibility when working with indexes. For example, if a module needs to serialize an index for storage in a database, it can use the \"serializeIndex\" method to ensure that the index is stored in a consistent format. Similarly, if a module needs to check whether an index is hardened before performing a cryptographic operation, it can use the \"isHardened\" method to ensure that the operation is performed correctly.", + "questions": "1. What is the purpose of the `Index` object and its methods?\n - The `Index` object provides methods for working with indexes in a specific range and converting them to and from byte arrays.\n2. What is the significance of the `HardRangeStart` value?\n - The `HardRangeStart` value is used to mark indexes in a specific range as \"hardened\", which is a concept in cryptography that adds additional security to certain operations.\n3. Are there any potential issues with the `serializeIndex` and `parseIndex` methods?\n - It is possible that these methods may not handle edge cases or unexpected input correctly, so it would be important to thoroughly test them and potentially add error handling." + }, + { + "fileName": "SecretKey.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala", + "summary": "This code defines a set of traits and classes for handling secret keys in the Ergo Platform SDK wallet. The purpose of this code is to provide a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. \n\nThe `SecretKey` trait defines a basic interface for secret data, with a single method `privateInput` that returns the private input of a Sigma protocol. This trait is extended by the `PrimitiveSecretKey` trait, which represents a secret that does not have a derivation scheme. \n\nThe `PrimitiveSecretKey` object provides a factory method for creating instances of `PrimitiveSecretKey` from a `SigmaProtocolPrivateInput`. This method uses pattern matching to determine the type of the input and returns either a `DlogSecretKey` or a `DhtSecretKey` instance, depending on the input type. \n\nThe `DlogSecretKey` and `DhtSecretKey` classes represent secret exponents of a group element, i.e. secret `w` such as `h = g^^w`, where `g` is a group generator and `h` is a public key. `DlogSecretKey` represents the secret exponent of a group element in a discrete logarithm group, while `DhtSecretKey` represents the secret exponent of a Diffie-Hellman tuple. Both classes take a private input in the form of a Sigma-protocol private input as a constructor argument. \n\nOverall, this code provides a basic framework for handling secret keys in the Ergo Platform SDK wallet. It allows for the creation of instances of `PrimitiveSecretKey`, which can be used to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples. These secret keys can then be used in other parts of the wallet to perform various cryptographic operations. \n\nExample usage:\n\n```\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines traits and case classes for secret keys used in Sigma protocols.\n\n2. What Sigma protocols are supported by this code?\n- The code supports Sigma protocols that use DLogProverInput and DiffieHellmanTupleProverInput.\n\n3. What is the difference between DlogSecretKey and DhtSecretKey?\n- DlogSecretKey represents the secret exponent of a group element, while DhtSecretKey represents the secret exponent of a Diffie-Hellman tuple." + } + ], + "folders": [], + "summary": "The code in this folder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, which allows users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets.\n\n`DerivationPath.scala` defines a class for representing and manipulating HD key derivation paths. It provides methods for encoding and decoding paths, converting paths to public or private branches, finding the next available path index for a new key, and checking if a path corresponds to a specific derivation path. This class can be used to generate new keys for transactions or to manage keys in a wallet.\n\n`ExtendedKey.scala` defines a trait for representing extended private and public keys in a cryptocurrency wallet. It provides methods for computing child keys from parent keys and representing extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum.\n\nExample usage:\n\n```scala\n// create a Bitcoin extended private key\nval privateKey = new BitcoinExtendedPrivateKey(k, c, path)\n\n// derive a child key from the parent key\nval childKey = privateKey.derive(DerivationPath(\"m/0/1\"))\n```\n\n`ExtendedPublicKey.scala` and `ExtendedSecretKey.scala` define classes for representing public and secret keys, their chain codes, and their paths in a key tree. They provide methods for deriving child keys, computing public keys, and checking if a key is erased. These classes are used to generate and manage keys in the larger wallet system.\n\n`Index.scala` provides utility functions for managing and manipulating indexes, such as creating hardened indexes, checking if an index is hardened, and serializing and parsing indexes. These functions ensure consistency and compatibility when working with indexes in other parts of the project.\n\n`SecretKey.scala` defines a set of traits and classes for handling secret keys in the wallet. It provides a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. Instances of `PrimitiveSecretKey` can be created to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples, which can then be used in other parts of the wallet to perform various cryptographic operations.\n\nExample usage:\n\n```scala\nval dlogInput = DLogProverInput(...)\nval dlogSecretKey = DlogSecretKey(dlogInput)\n\nval dhtInput = DiffieHellmanTupleProverInput(...)\nval dhtSecretKey = DhtSecretKey(dhtInput)\n```\n\nOverall, the code in this folder is crucial for managing keys and key derivation paths in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets.", + "questions": "" + }, + { + "folderName": "settings", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings", + "files": [ + { + "fileName": "EncryptionSettings.scala", + "filePath": "sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala", + "summary": "The code above defines a Scala package called `org.ergoplatform.sdk.wallet.settings` that contains a case class called `EncryptionSettings` and two implicit objects that implement the `Encoder` and `Decoder` traits from the `io.circe` library. \n\nThe `EncryptionSettings` case class has three parameters: `prf`, `c`, and `dkLen`. These parameters are used to define the encryption parameters for a password-based key derivation function (PBKDF2). The `prf` parameter is a string that represents the pseudo-random function used by the PBKDF2 algorithm. The `c` parameter is an integer that represents the number of iterations used by the PBKDF2 algorithm. The `dkLen` parameter is an integer that represents the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. This object defines a `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object that represents the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`. The values of these fields are obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. This object defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance that represents the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object that represents the `EncryptionSettings` instance. The `as` method is used to extract the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code is used to define the encryption parameters for the PBKDF2 algorithm used by the larger project. The `EncryptionSettings` case class can be used to create instances of the encryption parameters, and the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects can be used to convert instances of the `EncryptionSettings` case class to and from JSON format. This allows the encryption parameters to be stored and retrieved from a file or database. \n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```", + "questions": "1. What is the purpose of the `EncryptionSettings` class?\n- The `EncryptionSettings` class represents encryption parameters, including the pseudo-random function, number of PBKDF2 iterations, and desired bit-length of the derived key.\n\n2. What is the purpose of the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects?\n- The `EncryptionSettingsEncoder` object provides a way to encode `EncryptionSettings` objects as JSON, while the `EncryptionSettingsDecoder` object provides a way to decode JSON into `EncryptionSettings` objects.\n\n3. Why is the `cats.syntax.either._` import needed?\n- The `cats.syntax.either._` import is needed for compatibility with Scala 2.11." + } + ], + "folders": [], + "summary": "The `EncryptionSettings.scala` file is part of the `org.ergoplatform.sdk.wallet.settings` package and provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. The main purpose of this code is to define the encryption parameters, store them in a JSON format, and retrieve them when needed.\n\nThe `EncryptionSettings` case class has three parameters:\n\n- `prf`: A string representing the pseudo-random function used by the PBKDF2 algorithm.\n- `c`: An integer representing the number of iterations used by the PBKDF2 algorithm.\n- `dkLen`: An integer representing the desired bit-length of the derived key.\n\nThe `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object representing the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`, with values obtained from the corresponding parameters of the `EncryptionSettings` instance.\n\nThe `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance representing the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object representing the `EncryptionSettings` instance, and the `as` method extracts the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class.\n\nThis code can be used in the larger project to define encryption parameters for the PBKDF2 algorithm, store them in a JSON format, and retrieve them when needed. This allows the encryption parameters to be stored and retrieved from a file or database.\n\nExample usage:\n\n```scala\nval encryptionSettings = EncryptionSettings(\"HmacSHA256\", 10000, 256)\nval json = encryptionSettings.asJson\nval jsonString = json.noSpaces\n// Store jsonString in a file or database\n\n// Retrieve jsonString from a file or database\nval json = parser.parse(jsonString).getOrElse(Json.Null)\nval encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception(\"Invalid JSON\"))\n```\n\nIn summary, the `EncryptionSettings.scala` file provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet` folder provides essential functionality for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It consists of several Scala files and subfolders, each focusing on a specific aspect of the wallet.\n\n`AssetUtils.scala` provides utility functions for working with token assets in the Ergo blockchain. It offers functions like `mergeAssetsMut`, `mergeAssets`, `subtractAssets`, and `subtractAssetsMut` for merging and subtracting token amounts in `TokensMap`. These functions can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens.\n\n`Constants.scala` defines a set of constants used throughout the Ergo Platform SDK wallet, ensuring consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet.\n\nThe `protocol` subfolder contains code responsible for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution.\n\nThe `secrets` subfolder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, allowing users to efficiently manage multiple cryptocurrency assets.\n\nThe `settings` subfolder contains the `EncryptionSettings.scala` file, which provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings.\n\nExample usage of `AssetUtils`:\n\n```scala\nval initialMap: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 100L\n)\nval map1: TokensMap = Map(\n ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n)\nval map2: TokensMap = Map(\n ModifierId @@ Array.fill(32)(0.toByte) -> 25L\n)\nval merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2)\n// merged contains:\n// Map(\n// ModifierId @@ Array.fill(32)(0.toByte) -> 125L,\n// ModifierId @@ Array.fill(32)(1.toByte) -> 50L\n// )\n```\n\nExample usage of `Constants`:\n\n```scala\nimport org.ergoplatform.sdk.wallet.Constants\n\nval coinType = Constants.CoinType\nval maxAssets = Constants.MaxAssetsPerBox\nval preEip3Path = Constants.preEip3DerivationPath\nval eip3Path = Constants.eip3DerivationPath\nval sentenceSizes = Constants.MnemonicSentenceSizes\nval allowedStrengths = Constants.AllowedStrengths\nval allowedLengths = Constants.AllowedEntropyLengths\n```\n\nIn summary, the code in this folder is crucial for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/summary.json new file mode 100644 index 0000000000..d1d8e0ba2b --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/summary.json @@ -0,0 +1,9 @@ +{ + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/org/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/org/summary.json new file mode 100644 index 0000000000..f8353e3586 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/org/summary.json @@ -0,0 +1,19 @@ +{ + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/scala/summary.json b/.autodoc/docs/json/sdk/shared/src/main/scala/summary.json new file mode 100644 index 0000000000..1bc1fe90b9 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/scala/summary.json @@ -0,0 +1,29 @@ +{ + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/main/summary.json b/.autodoc/docs/json/sdk/shared/src/main/summary.json new file mode 100644 index 0000000000..f1fcfc2573 --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/main/summary.json @@ -0,0 +1,39 @@ +{ + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/src/summary.json b/.autodoc/docs/json/sdk/shared/src/summary.json new file mode 100644 index 0000000000..f13fd9d34e --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/src/summary.json @@ -0,0 +1,49 @@ +{ + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/shared/summary.json b/.autodoc/docs/json/sdk/shared/summary.json new file mode 100644 index 0000000000..5da7c4d40b --- /dev/null +++ b/.autodoc/docs/json/sdk/shared/summary.json @@ -0,0 +1,59 @@ +{ + "folderName": "shared", + "folderPath": ".autodoc/docs/json/sdk/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/json/sdk/summary.json b/.autodoc/docs/json/sdk/summary.json new file mode 100644 index 0000000000..a5d9200b24 --- /dev/null +++ b/.autodoc/docs/json/sdk/summary.json @@ -0,0 +1,219 @@ +{ + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/js/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/js/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform", + "files": [], + "folders": [ + { + "folderName": "sdk", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk", + "files": [], + "folders": [ + { + "folderName": "js", + "folderPath": ".autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js", + "files": [ + { + "fileName": "BlockchainParameters.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala", + "summary": "The code defines a class called \"BlockchainParameters\" which extends the \"ErgoLikeParameters\" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as \"storageFeeFactor\", \"minValuePerByte\", \"maxBlockSize\", \"tokenAccessCost\", \"inputCost\", \"dataInputCost\", \"outputCost\", \"maxBlockCost\", \"_softForkStartingHeight\", \"_softForkVotesCollected\", and \"blockVersion\". These properties are used to define the various parameters of the blockchain network.\n\nThe class also has two methods called \"softForkStartingHeight\" and \"softForkVotesCollected\". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the \"Isos.isoUndefOr\" method to convert the \"UndefOr\" type to an \"Option\" type.\n\nThe class is annotated with \"@JSExportTopLevel\" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment.\n\nThis class can be used in the larger project to define the parameters of the blockchain network. For example, the \"maxBlockSize\" property can be used to define the maximum size of a block in the blockchain network. The \"inputCost\" property can be used to define the cost of adding an input to a transaction. The \"outputCost\" property can be used to define the cost of adding an output to a transaction. The \"softForkStartingHeight\" and \"softForkVotesCollected\" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively.\n\nExample usage:\n\n```\nval params = new BlockchainParameters(\n storageFeeFactor = 100,\n minValuePerByte = 1,\n maxBlockSize = 1000000,\n tokenAccessCost = 10,\n inputCost = 100,\n dataInputCost = 50,\n outputCost = 50,\n maxBlockCost = 100000000,\n _softForkStartingHeight = Some(100),\n _softForkVotesCollected = Some(100),\n blockVersion = 1\n)\n\nval maxBlockSize = params.maxBlockSize // returns 1000000\nval softForkStartingHeight = params.softForkStartingHeight // returns Some(100)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `Isos` object and how is it used in this code?\n The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods." + }, + { + "fileName": "BlockchainStateContext.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala", + "summary": "The code above defines a class called \"BlockchainStateContext\" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain.\n\nThe class has three properties: \"sigmaLastHeaders\", \"previousStateDigest\", and \"sigmaPreHeader\". \"sigmaLastHeaders\" is an array of \"Header\" objects, which represent the headers of the most recent blocks in the blockchain. \"previousStateDigest\" is a string that represents the hash of the previous state of the blockchain. \"sigmaPreHeader\" is an object of type \"PreHeader\" that contains information about the current block being processed.\n\nThis class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. \n\nHere is an example of how this class might be used in a JavaScript environment:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders); // prints array of Header objects\nconsole.log(context.previousStateDigest); // prints string representing previous state hash\nconsole.log(context.sigmaPreHeader); // prints PreHeader object\n```\n\nOverall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment.", + "questions": "1. What is the purpose of this code and how does it fit into the overall project?\n- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain.\n\n2. What is the significance of the `@JSExportTopLevel` annotation?\n- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code.\n\n3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor?\n- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest." + }, + { + "fileName": "ErgoTree.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala", + "summary": "The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings.\n\nThe `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme.\n\nThe `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object.\n\nThis code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment.", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings.\n \n2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations?\n - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes.\n \n3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes?\n - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform." + }, + { + "fileName": "Header.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala", + "summary": "This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. \n\nThe AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project.\n\nThe Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object.\n\nThese classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent.", + "questions": "1. What is the purpose of the `AvlTree` and `Header` classes?\n- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain.\n\n2. What is the significance of the `JSExportTopLevel` annotation?\n- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module.\n\n3. What is the role of the `special.sigma` import?\n- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain." + }, + { + "fileName": "Isos.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala", + "summary": "This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications.\n\nThe `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures.\n\nFor example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`:\n\n```scala\nimplicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] {\n override def to(x: Value): Constant[SType] = ...\n override def from(x: Constant[SType]): Value = ...\n}\n```\n\nAdditionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`.\n\nThe `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network.\n\n```scala\nval isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] =\n new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] {\n override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ...\n override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ...\n }\n```\n\nIn summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications.", + "questions": "1. **Question**: What is the purpose of the `Isos` object in this code?\n **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project.\n\n2. **Question**: How does the `isoUnsignedTransaction` Iso work?\n **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object.\n\n3. **Question**: What is the role of the `isoBox` Iso in this code?\n **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform." + }, + { + "fileName": "PreHeader.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala", + "summary": "The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. \n\nThe `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. \n\nThe `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. \n\nThe `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. \n\nIn the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. \n\nHere is an example of how the `PreHeader` class could be used in JavaScript code:\n\n```javascript\nconst preHeader = new PreHeader(\n 1, // version\n \"0000000000000000000000000000000000000000000000000000000000000000\", // parent ID\n BigInt(1630460000), // timestamp\n BigInt(100000000), // difficulty\n 12345, // height\n \"03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3\", // miner public key\n \"0101010101010101010101010101010101010101010101010101010101010101\" // votes\n);\n\nconsole.log(preHeader.height); // Output: 12345\n```", + "questions": "1. What is the purpose of this code?\n This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header.\n\n2. What is the significance of the JSExportTopLevel annotation?\n The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment.\n\n3. Why are some of the properties defined as js.BigInt instead of regular BigInt?\n The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values." + }, + { + "fileName": "Prover.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala", + "summary": "The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`.\n\nThe `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class.\n\nThe `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0.\n\nThe purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block.", + "questions": "1. What is the purpose of the `Prover` class and its methods?\n- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer.\n \n2. What is the purpose of the `ReducedTransaction` class?\n- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class.\n\n3. What external dependencies does this code have?\n- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package." + }, + { + "fileName": "ProverBuilder.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala", + "summary": "The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`).\n\nThe `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object.\n\nOnce the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project.\n\nThis code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like:\n\n```\nval parameters = new ErgoLikeParameters(...)\nval networkPrefix = NetworkPrefix.Testnet\nval builder = new ProverBuilder(parameters, networkPrefix)\nbuilder.withMnemonic(\"my secret phrase\", \"my password\")\nbuilder.withDLogSecret(1234567890)\nval prover = builder.build()\nval signedTx = prover.sign(tx)\n```", + "questions": "1. What is the purpose of this code and what does it do?\n - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data.\n\n2. What are the parameters required to instantiate an object of the `ProverBuilder` class?\n - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object.\n\n3. What are some of the methods available in the `ProverBuilder` class and what do they do?\n - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object." + }, + { + "fileName": "Type.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala", + "summary": "The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. \n\nThe `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object.\n\nThe `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively.\n\nThe `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type.\n\nOverall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code:\n\n```\nval pairType = Type.pairType(Type.Int, Type.Int)\nval collType = Type.collType(pairType)\n```", + "questions": "1. What is the purpose of this code?\n- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way.\n\n2. What is the difference between the `Type` class and the `Types` object?\n- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types.\n\n3. What is the `collType` method used for?\n- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements." + }, + { + "fileName": "Value.scala", + "filePath": "sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala", + "summary": "# Code Explanation: org.ergoplatform.sdk.js\n\nThe `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following:\n\n| JS type | ErgoScript Type |\n| -------| ---------------|\n| Number | Byte |\n| Number | Short |\n| Number | Int |\n| BigInt | Long |\n| BigInt | BigInt |\n| array [A, B] | (A, B) - pair |\n| array [a1, a2 ..] | Coll[A] - collection |\n\nThe `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. \n\nThe `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. \n\nThe `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. \n\nOverall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values.", + "questions": "1. What is the purpose of the `Value` class and how is it used in ErgoScript language?\n- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes.\n2. What is the mapping between JS types and ErgoScript types?\n- The mapping between JS types and ErgoScript types is as follows:\n - Number -> Byte, Short, Int\n - BigInt -> Long, BigInt\n - array [A, B] -> (A, B) - pair\n - array [a1, a2 ..] -> Coll[A] - collection\n3. How is a `Value` encoded as a Base16 hex string?\n- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string." + } + ], + "folders": [], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications.\n\nFor example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js/src` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types.\n\nFor instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment:\n\n```javascript\nconst params = new BlockchainParameters(...);\nconst maxBlockSize = params.maxBlockSize;\n```\n\nThe `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state:\n\n```javascript\nconst context = new BlockchainStateContext(headers, previousDigest, preHeader);\nconsole.log(context.sigmaLastHeaders);\n```\n\nThe `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent:\n\n```javascript\nconst header = new Header(...);\nconst avlTree = new AvlTree(...);\n```\n\nThe `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain:\n\n```javascript\nconst builder = new ProverBuilder(parameters, networkPrefix);\nbuilder.withMnemonic(\"my secret phrase\", \"my password\");\nconst prover = builder.build();\nconst signedTx = prover.sign(tx);\n```\n\nThe `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment:\n\n```javascript\nconst intValue = Values.ofInt(42);\nconst pairValue = Values.pairOf(intValue, intValue);\nconst collValue = Values.collOf([intValue, intValue], Type.Int);\n```\n\nOverall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly.", + "questions": "" + }, + { + "folderName": "shared", + "folderPath": ".autodoc/docs/json/sdk/shared", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared", + "files": [], + "folders": [ + { + "folderName": "src", + "folderPath": ".autodoc/docs/json/sdk/shared/src", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src", + "files": [], + "folders": [ + { + "folderName": "main", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main", + "files": [], + "folders": [ + { + "folderName": "scala", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala", + "files": [], + "folders": [ + { + "folderName": "org", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org", + "files": [], + "folders": [ + { + "folderName": "ergoplatform", + "folderPath": ".autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "url": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform", + "files": [], + "folders": [], + "summary": "The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain.\n\nHere is a brief overview of the files and subfolders in this folder:\n\n### Files\n\n1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\n Example usage:\n\n ```scala\n val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n ```\n\n2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\n Example usage:\n\n ```scala\n val tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n ```\n\n3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\n Example usage:\n\n ```scala\n val box = ErgoBox(value, script, additionalRegisters)\n ```\n\n### Subfolders\n\n1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\n2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing.\n\n3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain.\n\n4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings.\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared/src` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The code in the `.autodoc/docs/json/sdk/shared` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution.\n\nExample usage:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nSimilarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation.\n\nExample usage:\n\n```scala\nval tx = ErgoLikeTransaction(inputs, dataInputs, outputs)\n```\n\nThe `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution.\n\nExample usage:\n\n```scala\nval box = ErgoBox(value, script, additionalRegisters)\n```\n\nThe subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo).\n\nIn summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.", + "questions": "" + } + ], + "summary": "The `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The folder is organized into two subfolders: `js` and `shared`.\n\nThe `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. For example, the `ErgoTree.scala` file allows developers to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings:\n\n```javascript\nconst ergoTree = ErgoTrees.fromHex(hexString);\nconst ergoTreeBytes = ergoTree.toBytes();\n```\n\nThe `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management.\n\nFor instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain:\n\n```scala\nval ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs)\n```\n\nIn summary, the `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, while the `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain.", + "questions": "" +} \ No newline at end of file diff --git a/.autodoc/docs/markdown/ci/import_gpg.md b/.autodoc/docs/markdown/ci/import_gpg.md new file mode 100644 index 0000000000..56e8e6ff8a --- /dev/null +++ b/.autodoc/docs/markdown/ci/import_gpg.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/ci/import_gpg.sh) + +This code is a Bash script that sets up GPG2 for reading a passphrase from parameters. It is used in the larger project to enable secure communication between different components of the system. + +The script first creates a directory called `.gnupg` in the user's home directory and sets its permissions to 700. It then adds two lines to the `gpg.conf` file: `use-agent` and `pinentry-mode loopback`. These lines configure GPG to use an agent for passphrase management and to use a loopback mechanism for pinentry, which allows the passphrase to be entered via parameters. The script also adds a line to the `gpg-agent.conf` file to allow loopback pinentry. Finally, it sets the permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent. + +The script then decodes the GPG signing key, which should have been previously exported and stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`. The decoded key is saved to a file called `private.key` in the `.gnupg` directory. Finally, the script imports the key using the `gpg` command with the `--import` option. + +This script is used in the larger project to enable secure communication between different components of the system. By setting up GPG2 with passphrase management via parameters, the system can ensure that only authorized users are able to access sensitive information. For example, if the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature. This ensures that the message has not been tampered with and that it was sent by the expected sender. + +Example usage of this script in the larger project: + +``` +#!/bin/bash + +# set up GPG for secure communication +./setup_gpg.sh + +# encrypt and sign a message +echo "Hello, world!" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc + +# send the encrypted message to the recipient +send_message message.asc +``` +## Questions: + 1. What is the purpose of this script? + + This script sets up gpg2 for reading passphrase from parameters and imports a private key for signing. + +2. What is the significance of the environment variable "GPG_SIGNING_KEY"? + + The environment variable "GPG_SIGNING_KEY" contains the base64 encoded private key that is decoded and stored in the ~/.gnupg/private.key file. + +3. Why is the "use-agent" option added to the gpg.conf file? + + The "use-agent" option is added to the gpg.conf file to enable the use of the gpg-agent for caching passphrases and avoiding repeated prompts for the passphrase. \ No newline at end of file diff --git a/.autodoc/docs/markdown/ci/summary.md b/.autodoc/docs/markdown/ci/summary.md new file mode 100644 index 0000000000..06e7411510 --- /dev/null +++ b/.autodoc/docs/markdown/ci/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/ci) + +The `import_gpg.sh` script in the `.autodoc/docs/json/ci` folder is a crucial component for enabling secure communication between different parts of the system. It sets up GPG2 (GNU Privacy Guard) with passphrase management via parameters, ensuring that only authorized users can access sensitive information. + +The script performs the following tasks: + +1. Creates a `.gnupg` directory in the user's home directory with permissions set to 700. +2. Configures GPG to use an agent for passphrase management and loopback mechanism for pinentry by adding `use-agent` and `pinentry-mode loopback` lines to the `gpg.conf` file. +3. Allows loopback pinentry by adding a line to the `gpg-agent.conf` file. +4. Sets permissions of all files in the `.gnupg` directory to 600 and reloads the GPG agent. +5. Decodes the GPG signing key, which should be stored as a GitHub repository secret under the name `GPG_SIGNING_KEY`, and saves it to a `private.key` file in the `.gnupg` directory. +6. Imports the key using the `gpg` command with the `--import` option. + +This script is essential for secure communication in the larger project. For instance, when the system needs to send encrypted messages between two components, it can use GPG to encrypt the message with the recipient's public key and sign it with the sender's private key. The recipient can then use their private key to decrypt the message and verify the signature, ensuring the message's integrity and authenticity. + +Here's an example of how this script might be used in the larger project: + +```bash +#!/bin/bash + +# set up GPG for secure communication +./import_gpg.sh + +# encrypt and sign a message +echo "Hello, world!" | gpg --encrypt --sign --recipient recipient@example.com --armor > message.asc + +# send the encrypted message to the recipient +send_message message.asc +``` + +In this example, the `import_gpg.sh` script is first executed to set up GPG for secure communication. Then, a message is encrypted and signed using the `gpg` command with the recipient's email address. The encrypted message is saved to a file called `message.asc`. Finally, a hypothetical `send_message` function is called to send the encrypted message to the recipient. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.md new file mode 100644 index 0000000000..970e2fc6fa --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/summary.md @@ -0,0 +1,52 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +### Converting Java collections to Scala collections + +The first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +### Converting Scala collections to Java collections + +The second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input: + +```scala +import scala.collection.immutable.HashMap +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaMap = HashMap("one" -> 1, "two" -> 2) +val javaMap = mapToJavaMap(scalaMap) + +val scalaSeq = Seq("hello", "world") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +### Building collections + +The `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection: + +```scala +import scala.collection.mutable.Builder +import scala.collection.immutable.Vector +import sigmastate.kiama.util.Collections._ + +val builder: Builder[String, Vector[String]] = newBuilder(Vector) +builder += "hello" +builder += "world" + +val scalaVector = builder.result() +``` + +In summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.md new file mode 100644 index 0000000000..cc4d1cd4d7 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.11/sigmastate/kiama/util/Collections.scala) + +The code in this file provides utility functions for working with collections in Scala. It defines a Scala object called Collections that contains several methods for converting between Java and Scala collections, as well as for building collections. + +The first set of methods are for converting Java collections to Scala collections. These methods use the JavaConverters library to convert a Java collection to a Scala collection. Specifically, the javaCollectionToVector method takes a java.util.Collection and returns a Vector, which is a type of immutable sequence in Scala. This method can be useful when working with Java libraries that return collections that need to be used in Scala code. + +The second method, mapToJavaMap, takes a Scala Map and returns a java.util.Map. This method can be useful when working with Java libraries that require a Java Map as input. + +The third method, seqToJavaList, takes a Scala Seq and returns a java.util.List. This method can be useful when working with Java libraries that require a Java List as input. + +The second set of methods are for building collections. The newBuilder method takes a Factory or CanBuildFrom object and returns a Builder object. The Factory and CanBuildFrom types are part of the Scala collections library and are used to create new collections. The newBuilder method can be used to create a new Builder object that can be used to add elements to a collection. The first version of the method takes a Factory object, which is used to create a new collection of type C. The second version of the method takes a CanBuildFrom object and an initial collection of type A, and is used to create a new collection of type C. + +Overall, this code provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. +## Questions: + 1. What is the purpose of this file? +- This file contains utility functions for converting between Java and Scala collections, as well as building collections. + +2. What external libraries or dependencies does this file use? +- This file uses the JavaConverters and CanBuildFrom classes from the Scala standard library. + +3. What is the license for this code? +- This code is licensed under the Mozilla Public License, version 2.0. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.md new file mode 100644 index 0000000000..f609f0d8a3 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/kiama/util/summary.md @@ -0,0 +1,52 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +### Converting Java collections to Scala collections + +The first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +### Converting Scala collections to Java collections + +The second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input: + +```scala +import scala.collection.immutable.HashMap +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaMap = HashMap("one" -> 1, "two" -> 2) +val javaMap = mapToJavaMap(scalaMap) + +val scalaSeq = Seq("hello", "world") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +### Building collections + +The `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection: + +```scala +import scala.collection.mutable.Builder +import scala.collection.immutable.Vector +import sigmastate.kiama.util.Collections._ + +val builder: Builder[String, Vector[String]] = newBuilder(Vector) +builder += "hello" +builder += "world" + +val scalaVector = builder.result() +``` + +In summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/summary.md new file mode 100644 index 0000000000..bcc8803c83 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/sigmastate/summary.md @@ -0,0 +1,52 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +### Converting Java collections to Scala collections + +The first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +### Converting Scala collections to Java collections + +The second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input: + +```scala +import scala.collection.immutable.HashMap +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaMap = HashMap("one" -> 1, "two" -> 2) +val javaMap = mapToJavaMap(scalaMap) + +val scalaSeq = Seq("hello", "world") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +### Building collections + +The `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection: + +```scala +import scala.collection.mutable.Builder +import scala.collection.immutable.Vector +import sigmastate.kiama.util.Collections._ + +val builder: Builder[String, Vector[String]] = newBuilder(Vector) +builder += "hello" +builder += "world" + +val scalaVector = builder.result() +``` + +In summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/summary.md new file mode 100644 index 0000000000..5f09af2bed --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.11/summary.md @@ -0,0 +1,52 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.11) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.11/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +### Converting Java collections to Scala collections + +The first set of methods are for converting Java collections to Scala collections. These methods use the `JavaConverters` library to convert a Java collection to a Scala collection. For example, the `javaCollectionToVector` method takes a `java.util.Collection` and returns a `Vector`, which is a type of immutable sequence in Scala: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +### Converting Scala collections to Java collections + +The second and third methods, `mapToJavaMap` and `seqToJavaList`, take a Scala `Map` and `Seq` respectively and return their Java counterparts, `java.util.Map` and `java.util.List`. These methods can be useful when working with Java libraries that require Java collections as input: + +```scala +import scala.collection.immutable.HashMap +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaMap = HashMap("one" -> 1, "two" -> 2) +val javaMap = mapToJavaMap(scalaMap) + +val scalaSeq = Seq("hello", "world") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +### Building collections + +The `newBuilder` method takes a `Factory` or `CanBuildFrom` object and returns a `Builder` object. The `Factory` and `CanBuildFrom` types are part of the Scala collections library and are used to create new collections. The `newBuilder` method can be used to create a new `Builder` object that can be used to add elements to a collection: + +```scala +import scala.collection.mutable.Builder +import scala.collection.immutable.Vector +import sigmastate.kiama.util.Collections._ + +val builder: Builder[String, Vector[String]] = newBuilder(Vector) +builder += "hello" +builder += "world" + +val scalaVector = builder.result() +``` + +In summary, the `Collections.scala` file provides useful utility functions for working with collections in Scala, particularly when interfacing with Java libraries. These functions can be used to convert between Java and Scala collections and to build new collections using the `Builder` object. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.md new file mode 100644 index 0000000000..ed6ff8168e --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama) + +The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way. + +The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections: + +1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`. +2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`. +3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`. + +Here's an example of how the `javaCollectionToVector` method could be used: + +```scala +import sigmastate.kiama.util.Collections._ + +val javaList = new java.util.ArrayList[Int]() +javaList.add(1) +javaList.add(2) +javaList.add(3) + +val scalaVector = javaCollectionToVector(javaList) +// scalaVector is now Vector(1, 2, 3) +``` + +The second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection. + +In summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.md new file mode 100644 index 0000000000..74d85102f4 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.12/sigmastate/kiama/util/Collections.scala) + +The code in this file provides utility functions for working with collections in Scala. The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. + +The first set of methods are for converting Java collections to Scala collections. The `javaCollectionToVector` method takes a Java collection and returns a Scala `Vector`. The `mapToJavaMap` method takes a Scala `Map` and returns a Java `Map`. The `seqToJavaList` method takes a Scala `Seq` and returns a Java `List`. These methods are useful when working with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. + +The second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection. + +Overall, this code provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. Here is an example of how the `javaCollectionToVector` method could be used: + +``` +import sigmastate.kiama.util.Collections._ + +val javaList = new java.util.ArrayList[Int]() +javaList.add(1) +javaList.add(2) +javaList.add(3) + +val scalaVector = javaCollectionToVector(javaList) +// scalaVector is now Vector(1, 2, 3) +``` +## Questions: + 1. What is the purpose of this file and what is the project it belongs to? +- This file is part of the Kiama project. +- The purpose of this file is to provide utility functions for converting between Java and Scala collections, as well as building collections. + +2. What types of collection conversions are supported by the utility functions in this file? +- The utility functions support converting Java collections to Scala Vector, Scala Map to Java Map, and Scala Seq to Java List. + +3. What is the purpose of the `Factory` and `CanBuildFrom` types defined in this file? +- The `Factory` and `CanBuildFrom` types are used to define the type of collection that should be built by the `newBuilder` function. They allow for flexible collection building based on the input type and desired output type. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.md new file mode 100644 index 0000000000..60ed2d2657 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/kiama/util/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way. + +The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections: + +1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`. +2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`. +3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`. + +Here's an example of how the `javaCollectionToVector` method could be used: + +```scala +import sigmastate.kiama.util.Collections._ + +val javaList = new java.util.ArrayList[Int]() +javaList.add(1) +javaList.add(2) +javaList.add(3) + +val scalaVector = javaCollectionToVector(javaList) +// scalaVector is now Vector(1, 2, 3) +``` + +The second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection. + +In summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/summary.md new file mode 100644 index 0000000000..45a9119a58 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/sigmastate/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate) + +The code in the `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way. + +The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections: + +1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`. +2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`. +3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`. + +Here's an example of how the `javaCollectionToVector` method could be used: + +```scala +import sigmastate.kiama.util.Collections._ + +val javaList = new java.util.ArrayList[Int]() +javaList.add(1) +javaList.add(2) +javaList.add(3) + +val scalaVector = javaCollectionToVector(javaList) +// scalaVector is now Vector(1, 2, 3) +``` + +The second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection. + +In summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/summary.md new file mode 100644 index 0000000000..3033180a5d --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.12/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.12) + +The `Collections.scala` file, located in the `.autodoc/docs/json/common/shared/src/main/scala-2.12/sigmastate/kiama/util` folder, provides utility functions for working with collections in Scala. These utility functions are essential when dealing with Java libraries that return Java collections, but the rest of the codebase uses Scala collections. They can also be used to build collections in a mutable way. + +The `Collections` object contains methods for converting Java collections to Scala collections, building collections, and creating new builders. The first set of methods are for converting Java collections to Scala collections: + +1. `javaCollectionToVector`: Takes a Java collection and returns a Scala `Vector`. +2. `mapToJavaMap`: Takes a Scala `Map` and returns a Java `Map`. +3. `seqToJavaList`: Takes a Scala `Seq` and returns a Java `List`. + +Here's an example of how the `javaCollectionToVector` method could be used: + +```scala +import sigmastate.kiama.util.Collections._ + +val javaList = new java.util.ArrayList[Int]() +javaList.add(1) +javaList.add(2) +javaList.add(3) + +val scalaVector = javaCollectionToVector(javaList) +// scalaVector is now Vector(1, 2, 3) +``` + +The second set of methods are for building collections. The `newBuilder` method takes a `Factory` or `CanBuildFrom` and returns a new builder for that collection type. Builders are used to construct collections in a mutable way. The `newBuilder` method can be used to create a new builder for a specific collection type, which can then be used to add elements to the collection. + +In summary, the code in the `Collections.scala` file provides useful utility functions for working with collections in Scala. These functions can be used throughout the larger project to convert between Java and Scala collections, and to build collections in a mutable way. This can be particularly helpful when integrating with Java libraries or when constructing collections that require mutable operations. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.md new file mode 100644 index 0000000000..44e73edc20 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/summary.md @@ -0,0 +1,62 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama) + +The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type. + +The `Collections` object contains the following methods: + +1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("Hello") +javaList.add("World") + +val scalaVector = javaCollectionToVector(javaList) +``` + +2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example: + +```scala +import java.util.Map +import sigmastate.kiama.util.Collections._ + +val scalaMap = Map("one" -> 1, "two" -> 2) +val javaMap: Map[String, Integer] = mapToJavaMap(scalaMap) +``` + +3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example: + +```scala +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaSeq = Seq("one", "two", "three") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method: + + - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example: + + ```scala + import scala.collection.mutable.ArrayBuffer + import sigmastate.kiama.util.Collections._ + + val factory = ArrayBuffer + val builder = newBuilder(factory) + ``` + + - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example: + + ```scala + import scala.collection.immutable.Vector + import sigmastate.kiama.util.Collections._ + + val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]] + val builder = newBuilder(canBuildFrom) + ``` + +In summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.md new file mode 100644 index 0000000000..d75b98d3e8 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala-2.13/sigmastate/kiama/util/Collections.scala) + +The code in this file provides utility functions for working with collections in Scala and Java. The `Collections` object contains methods for converting between Java and Scala collections, as well as building collections using the `Builder` class. + +The `javaCollectionToVector` method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. + +The `mapToJavaMap` method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. + +The `seqToJavaList` method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. + +The `newBuilder` method creates a new `Builder` instance for a given collection type. The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. + +Overall, these utility functions can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type. +## Questions: + 1. What is the purpose of this file in the Kiama project? +- This file contains utility functions for converting between Java and Scala collections, as well as building collections. + +2. What types of collections can be converted using the `javaCollectionToVector` and `seqToJavaList` functions? +- `javaCollectionToVector` can convert any Java collection to a Scala Vector, while `seqToJavaList` can convert a Scala Seq to a Java List. + +3. What is the purpose of the `Factory` and `CanBuildFrom` type aliases? +- These type aliases are used to abstract over the specific collection types being built, allowing the `newBuilder` function to work with any collection type that has a corresponding factory or build-from method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.md new file mode 100644 index 0000000000..8b58aedafa --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/kiama/util/summary.md @@ -0,0 +1,62 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util) + +The `Collections.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate/kiama/util` folder provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type. + +The `Collections` object contains the following methods: + +1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("Hello") +javaList.add("World") + +val scalaVector = javaCollectionToVector(javaList) +``` + +2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example: + +```scala +import java.util.Map +import sigmastate.kiama.util.Collections._ + +val scalaMap = Map("one" -> 1, "two" -> 2) +val javaMap: Map[String, Integer] = mapToJavaMap(scalaMap) +``` + +3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example: + +```scala +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaSeq = Seq("one", "two", "three") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method: + + - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example: + + ```scala + import scala.collection.mutable.ArrayBuffer + import sigmastate.kiama.util.Collections._ + + val factory = ArrayBuffer + val builder = newBuilder(factory) + ``` + + - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example: + + ```scala + import scala.collection.immutable.Vector + import sigmastate.kiama.util.Collections._ + + val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]] + val builder = newBuilder(canBuildFrom) + ``` + +In summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/summary.md new file mode 100644 index 0000000000..975491c820 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/sigmastate/summary.md @@ -0,0 +1,62 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13/sigmastate) + +The `Collections.scala` file in the `sigmastate.kiama.util` package provides utility functions for working with collections in Scala and Java. These utility functions are particularly useful when working with mixed Scala and Java codebases, as they simplify the process of converting between collection types and building collections of the desired type. + +The `Collections` object contains the following methods: + +1. `javaCollectionToVector`: This method takes a Java `Collection` and converts it to a Scala `Vector`. This can be useful when working with Java libraries that return collections that need to be used in Scala code. For example: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("Hello") +javaList.add("World") + +val scalaVector = javaCollectionToVector(javaList) +``` + +2. `mapToJavaMap`: This method takes a Scala `Map` and converts it to a Java `Map`. This can be useful when working with Java libraries that require Java maps as input. For example: + +```scala +import java.util.Map +import sigmastate.kiama.util.Collections._ + +val scalaMap = Map("one" -> 1, "two" -> 2) +val javaMap: Map[String, Integer] = mapToJavaMap(scalaMap) +``` + +3. `seqToJavaList`: This method takes a Scala `Seq` and converts it to a Java `List`. This can be useful when working with Java libraries that require Java lists as input. For example: + +```scala +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaSeq = Seq("one", "two", "three") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +4. `newBuilder`: This method creates a new `Builder` instance for a given collection type. There are two overloads for this method: + + - The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example: + + ```scala + import scala.collection.mutable.ArrayBuffer + import sigmastate.kiama.util.Collections._ + + val factory = ArrayBuffer + val builder = newBuilder(factory) + ``` + + - The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example: + + ```scala + import scala.collection.immutable.Vector + import sigmastate.kiama.util.Collections._ + + val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]] + val builder = newBuilder(canBuildFrom) + ``` + +In summary, the utility functions provided in the `Collections.scala` file can be used to simplify working with collections in mixed Scala and Java codebases. They provide a convenient way to convert between collection types and build collections of the desired type. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/summary.md new file mode 100644 index 0000000000..9c60a9ff10 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala-2.13/summary.md @@ -0,0 +1,60 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala-2.13) + +The `Collections.scala` file, located in the `sigmastate.kiama.util` package, provides a set of utility functions designed to simplify working with collections in mixed Scala and Java codebases. These functions are particularly useful for converting between collection types and building collections of the desired type. + +One of the key functions in this file is `javaCollectionToVector`, which takes a Java `Collection` and converts it to a Scala `Vector`. This is helpful when working with Java libraries that return collections that need to be used in Scala code. For example: + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("Hello") +javaList.add("World") + +val scalaVector = javaCollectionToVector(javaList) +``` + +Another useful function is `mapToJavaMap`, which takes a Scala `Map` and converts it to a Java `Map`. This is beneficial when working with Java libraries that require Java maps as input. For example: + +```scala +import java.util.Map +import sigmastate.kiama.util.Collections._ + +val scalaMap = Map("one" -> 1, "two" -> 2) +val javaMap: Map[String, Integer] = mapToJavaMap(scalaMap) +``` + +The `seqToJavaList` function takes a Scala `Seq` and converts it to a Java `List`. This is useful when working with Java libraries that require Java lists as input. For example: + +```scala +import java.util.List +import sigmastate.kiama.util.Collections._ + +val scalaSeq = Seq("one", "two", "three") +val javaList: List[String] = seqToJavaList(scalaSeq) +``` + +Lastly, the `newBuilder` method creates a new `Builder` instance for a given collection type. There are two overloads for this method: + +- The first overload takes a `Factory` instance, which is used to create a new collection of the desired type. For example: + + ```scala + import scala.collection.mutable.ArrayBuffer + import sigmastate.kiama.util.Collections._ + + val factory = ArrayBuffer + val builder = newBuilder(factory) + ``` + +- The second overload takes a `CanBuildFrom` instance, which is used to create a new collection of the desired type from an existing collection. For example: + + ```scala + import scala.collection.immutable.Vector + import sigmastate.kiama.util.Collections._ + + val canBuildFrom = implicitly[CanBuildFrom[Vector[Int], Int, Vector[Int]]] + val builder = newBuilder(canBuildFrom) + ``` + +In conclusion, the utility functions provided in the `Collections.scala` file are valuable for simplifying the process of working with collections in mixed Scala and Java codebases. They offer a convenient way to convert between collection types and build collections of the desired type, making it easier to integrate Scala and Java code within a project. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/Math.md b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/Math.md new file mode 100644 index 0000000000..50689db3c9 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/Math.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/java7/compat/Math.scala) + +The code in this file provides a set of methods for performing arithmetic operations that are not available in Java 1.7, but are present in Java 1.8. These methods are implemented in a way that supports compatibility with Java 1.7 in non-JVM contexts like RoboVM. The methods are copies from the JDK 1.8 sources. + +The `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type. + +The `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred. + +The `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred. + +The `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred. + +These methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method: + +``` +val result = Math.addExact(2, 3) // result is 5 +``` + +If the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. +## Questions: + 1. What is the purpose of this code? +- This code provides methods introduced since Java 1.8 which are not available in Java 1.7, supporting compatibility with Java 1.7 in non-JVM contexts like RoboVM. + +2. What are the input and output of each method? +- The input of each method is either two integers or two longs, and the output is either an integer or a long. Each method throws an ArithmeticException if the result overflows an int or a long. + +3. Why are there comments referencing HD 2-12? +- The comments referencing HD 2-12 are used to explain the overflow condition for each method. They refer to Hacker's Delight, a book that provides algorithms for performing arithmetic operations on binary numbers. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/summary.md new file mode 100644 index 0000000000..dae04de984 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/compat/summary.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7/compat) + +The `Math.scala` file in the `.autodoc/docs/json/common/shared/src/main/scala/java7/compat` folder provides a set of arithmetic operations that are compatible with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality. + +The `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type. + +For example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred. + +```scala +val result = Math.addExact(2, 3) // result is 5 +``` + +Similarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred. + +The `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred. + +These methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method: + +```scala +val result = Math.addExact(2, 3) // result is 5 +``` + +If the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/java7/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/summary.md new file mode 100644 index 0000000000..aa0cc2ce93 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/java7/summary.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/java7) + +The `Math.scala` file in the `java7/compat` folder provides a set of arithmetic operations that ensure compatibility with Java 1.7, even though they are available in Java 1.8. This compatibility is essential for non-JVM contexts like RoboVM. The methods in this file are copied from the JDK 1.8 sources to ensure accurate functionality. + +The `Math` object contains six methods for performing arithmetic operations: `addExact`, `subtractExact`, and `multiplyExact`, each with two overloads for `Int` and `Long` types. These methods throw an `ArithmeticException` if the result of the operation overflows the range of the corresponding type. + +For example, the `addExact` method returns the sum of its arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If both arguments have the opposite sign of the result, an overflow has occurred. + +```scala +val result = Math.addExact(2, 3) // result is 5 +``` + +Similarly, the `subtractExact` method returns the difference of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the signs of the arguments and the result. If the arguments have different signs and the sign of the result is different than the sign of the first argument, an overflow has occurred. + +The `multiplyExact` method returns the product of the arguments, throwing an exception if the result overflows an `int` or a `long`. The method checks for overflow by comparing the result with the maximum value of the corresponding type. If the result is greater than the maximum value, an overflow has occurred. + +These methods are useful for performing arithmetic operations in a way that ensures the result is within the range of the corresponding type. For example, if you need to add two `int` values and ensure that the result is within the range of an `int`, you can use the `addExact` method: + +```scala +val result = Math.addExact(2, 3) // result is 5 +``` + +If the result of the operation overflows the range of an `int`, an `ArithmeticException` is thrown. This functionality is essential for ensuring that arithmetic operations are performed safely and accurately within the context of the larger project, especially when working with non-JVM contexts like RoboVM. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/AnyVals.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/AnyVals.md new file mode 100644 index 0000000000..b51af02390 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/AnyVals.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/AnyVals.scala) + +The code provided in this file offers two classes, Nullable and AVHashMap, which provide allocation-free alternatives to Scala's Option and mutable Map classes, respectively. + +The Nullable class is designed to avoid the allocation of Some(x) and the reading of random memory locations to access x. It is a wrapper around a value of type T that can be null. The class provides methods such as isEmpty, get, isDefined, getOrElse, toList, and toOption. The getOrElse method returns the value of the Nullable object if it is not null, otherwise it returns a default value. The toList method returns a List containing the value of the Nullable object if it is not null, otherwise it returns an empty List. The toOption method returns an Option containing the value of the Nullable object if it is not null, otherwise it returns None. + +The AVHashMap class is designed to provide an allocation-free alternative to Scala's mutable Map class. It is a wrapper around a Java HashMap that provides methods such as isEmpty, get, apply, containsKey, put, and clear. The get method returns a Nullable object containing the value associated with the given key if it exists in the map, otherwise it returns a Nullable object containing null. The apply method returns the value associated with the given key if it exists in the map, otherwise it throws an exception. The containsKey method returns true if the given key exists in the map, otherwise it returns false. The put method associates the given value with the given key in the map and returns the previous value associated with the key, if any. The clear method removes all entries from the map. + +The AVHashMap class also provides two helper methods, apply and fromSeq. The apply method creates a new AVHashMap with the given initial capacity. The fromSeq method creates a new AVHashMap from a sequence of key-value pairs. + +These classes can be used in the larger project to optimize performance-critical code by avoiding unnecessary allocations and memory accesses. For example, the Nullable class can be used in recognizers to avoid the allocation of Some(x) and the reading of random memory locations to access x. The AVHashMap class can be used to provide an allocation-free alternative to Scala's mutable Map class. +## Questions: + 1. What is the purpose of the Nullable class? + + The Nullable class is an allocation-free alternative to scala.Option that allows avoiding the allocation of Some(x) and reading random memory location (where Some is stored) to access x. + +2. What is the purpose of the AVHashMap class? + + The AVHashMap class is an allocation-free alternative to scala.collection.mutable.Map that simplifies optimization of performance-critical code. + +3. How can a new map be created using the AVHashMap class? + + A new map can be created using the AVHashMap class by calling the apply method with the initial capacity as a parameter or by calling the fromSeq method with a sequence of K, V pairs as a parameter. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/DFunc.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/DFunc.md new file mode 100644 index 0000000000..6daeb66a9b --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/DFunc.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/DFunc.scala) + +The code above defines an abstract class called DFunc, which is a function interface that supports specialization and unboxed invocations. The class takes two type parameters, A and B, where A is specialized to Int. + +The purpose of this class is to provide a way to define functions that can be specialized for certain types, such as Int, which can improve performance by avoiding the overhead of boxing and unboxing values. This is achieved through the use of the @specialized annotation, which tells the compiler to generate specialized versions of the function for each type specified. + +The DFunc class defines a single method called apply, which takes a parameter of type A and returns a value of type B. This method is abstract, meaning that it must be implemented by any concrete subclass of DFunc. + +This class can be used in the larger project to define specialized functions that can be called with unboxed values, improving performance. For example, a concrete subclass of DFunc could be defined to perform a mathematical operation on unboxed Int values, such as addition or multiplication. This would allow the function to be called with unboxed values, avoiding the overhead of boxing and unboxing. + +Here is an example of how a concrete subclass of DFunc could be defined: + +```scala +class IntAddition extends DFunc[Int, Int] { + def apply(x: Int): Int = x + 1 +} +``` + +This defines a function that takes an unboxed Int value and returns the result of adding 1 to it. The function is specialized for Int values, so it can be called with unboxed values, improving performance. +## Questions: + 1. What is the purpose of the `@specialized` annotation in the type parameter of `DFunc`? + + The `@specialized` annotation is used to indicate that the type parameter `A` should be specialized for the `Int` type, which allows for more efficient unboxed invocations. + +2. What is the expected behavior of the `apply` method in `DFunc`? + + The `apply` method takes an argument of type `A` and returns a value of type `B`. The specific implementation of `apply` will depend on the concrete subclass of `DFunc`. + +3. What is the significance of the `abstract` keyword in the definition of `DFunc`? + + The `abstract` keyword indicates that `DFunc` is an abstract class, which means that it cannot be instantiated directly and must be subclassed in order to be used. Subclasses of `DFunc` must provide an implementation for the `apply` method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactIntegral.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactIntegral.md new file mode 100644 index 0000000000..802faacf54 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactIntegral.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactIntegral.scala) + +The code defines a type-class called ExactIntegral, which provides operations on integral types (Byte, Short, Int, Long, BigInt) with overflow checks. The purpose of this type-class is to avoid implicitly using standard Scala implementations in the core IR (Intermediate Representation) of a larger project. + +The type-class has two methods: `quot` and `divisionRemainder`. The `quot` method performs integer division operation `x / y`, while the `divisionRemainder` method returns the remainder from dividing x by y. The exact rules for the `divisionRemainder` method are defined in the concrete instance of the type T. By default, all the methods are implemented by delegating to the corresponding Integral instance from the standard Scala library. + +Each concrete instance of the type-class overrides three methods: `plus`, `minus`, and `times`. An exception is raised when an overflow is detected. The purpose of overriding these methods is to provide overflow checks for the operations. + +The code also defines four implicit objects: `ByteIsExactIntegral`, `ShortIsExactIntegral`, `IntIsExactIntegral`, and `LongIsExactIntegral`. These objects are ExactIntegral instances for Byte, Short, Int, and Long types respectively. Each object overrides the three methods `plus`, `minus`, and `times` to provide overflow checks for the operations. + +For example, the `ByteIsExactIntegral` object overrides the three methods as follows: `plus` method calls `addExact` method on the first argument `x` with the second argument `y`. Similarly, `minus` method calls `subtractExact` method on the first argument `x` with the second argument `y`, and `times` method calls `multiplyExact` method on the first argument `x` with the second argument `y`. + +Overall, the purpose of this code is to provide a type-class that defines operations on integral types with overflow checks. The code can be used in the core IR of a larger project to avoid implicitly using standard Scala implementations. The code also provides four implicit objects that can be used to perform operations on Byte, Short, Int, and Long types with overflow checks. + +Example usage: +```scala +import scalan.ExactIntegral._ + +val x: Int = 2147483647 +val y: Int = 1 +val z: Int = x + y // throws ArithmeticException: integer overflow +``` +## Questions: + 1. What is the purpose of the `ExactIntegral` trait? + + The `ExactIntegral` trait defines operations on integral types with overflow checks and is used in core IR to avoid implicitly using standard Scala implementations. + +2. How are the `plus`, `minus`, and `times` methods implemented for each concrete instance of `ExactIntegral`? + + Each concrete instance of `ExactIntegral` overrides the `plus`, `minus`, and `times` methods by delegating to the corresponding integral instance from the standard Scala library, with the exception of `Int` and `Long` which use the `java7.compat.Math` methods. + +3. What is the purpose of the `ExactIntegral` object? + + The `ExactIntegral` object provides implicit instances of `ExactIntegral` for all integral types, including `Byte`, `Short`, `Int`, and `Long`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactNumeric.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactNumeric.md new file mode 100644 index 0000000000..17eb1ea289 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactNumeric.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactNumeric.scala) + +The code defines a trait called `ExactNumeric` which provides numeric operations with overflow checks. The trait overrides three methods: `plus`, `minus`, and `times`. All other methods are implemented by delegating to the corresponding Numeric instance from the standard Scala library. The trait is used in core IR to avoid implicitly using standard Scala implementations. + +The `ExactNumeric` trait takes a type parameter `T` which must have an implicit `Numeric` instance. The `Numeric` typeclass provides basic arithmetic operations for numeric types. The `ExactNumeric` trait provides additional overflow checks to ensure that the result of an operation does not exceed the maximum or minimum value of the type `T`. If an overflow is detected, an exception is raised. + +The `ExactNumeric` trait provides methods to convert between `T` and `Int` or `Long`. It also provides values for `zero` and `one` of type `T`. + +The `ExactNumeric` object provides two implicit conversions from `Int` and `Long` to `ExactNumeric`. These conversions use the `ExactIntegral` instances for `Int` and `Long` respectively. The `ExactIntegral` trait provides exact arithmetic operations for integer types. + +This code is used in the larger project to provide numeric operations with overflow checks. It is used in core IR to avoid implicitly using standard Scala implementations. For example, it may be used in a compiler to ensure that arithmetic operations on integer types do not overflow. Here is an example of how the `ExactNumeric` trait may be used: + +```scala +import scalan.ExactNumeric._ + +def add[T: ExactNumeric](x: T, y: T): T = { + val n = implicitly[ExactNumeric[T]] + n.plus(x, y) +} + +val result = add(1000000000, 2000000000) // throws an exception due to overflow +``` +## Questions: + 1. What is the purpose of the `ExactNumeric` trait? + + The `ExactNumeric` trait defines numeric operations with overflow checks and raises an exception when overflow is detected. It is used in core IR to avoid implicitly using standard Scala implementations. + +2. What methods does the `ExactNumeric` trait override? + + The `ExactNumeric` trait overrides three methods: `plus`, `minus`, and `times`. + +3. How are `ExactNumeric` instances defined for `Int` and `Long`? + + `ExactNumeric` instances for `Int` and `Long` are defined as implicit values in the `ExactNumeric` object and are the same as the corresponding `ExactIntegral` instances (`IntIsExactIntegral` and `LongIsExactIntegral`). These instances are used wherever `ExactNumeric` is needed. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactOrdering.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactOrdering.md new file mode 100644 index 0000000000..d3e9320ccb --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/ExactOrdering.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/ExactOrdering.scala) + +The code defines a trait and a class for ordering operations to be used with other Exact traits. The purpose of this code is to provide a way to compare values of different types in a consistent and exact manner. The trait, ExactOrdering[T], extends the Ordering[T] trait from the standard Scala library and overrides the compare method to delegate to the corresponding Ordering instance from the standard library. This trait is used in core IR to avoid implicitly using standard Scala implementations. + +The class, ExactOrderingImpl[T], takes an Ordering[T] instance as a parameter and extends the ExactOrdering[T] trait. It provides an implementation for the n parameter of the trait. + +The object, ExactOrdering, provides ExactOrdering instances for all types, including Byte, Short, Int, and Long. It defines implicit objects for each type that extend the ExactOrderingImpl[T] class and pass in the corresponding Ordering instance from the standard library. + +This code can be used in the larger project to ensure that values of different types are compared in a consistent and exact manner. For example, if the project involves sorting data of different types, the ExactOrdering instances can be used to ensure that the sorting is done in an exact and consistent way. + +Code example: + +``` +import scalan.ExactOrdering + +val list = List(1.toByte, 2.toByte, 3.toByte) +val sortedList = list.sorted(ExactOrdering.ByteIsExactOrdering) +``` + +In this example, a list of Byte values is sorted using the ByteIsExactOrdering instance of the ExactOrdering trait. This ensures that the sorting is done in an exact and consistent way, regardless of the type of the values in the list. +## Questions: + 1. What is the purpose of the ExactOrdering trait and how is it implemented? + + The ExactOrdering trait is used in core IR to avoid implicitly using standard scala implementations. It delegates to the corresponding Ordering instance from the standard Scala library. + +2. What is the purpose of the ExactOrderingImpl class and how is it used? + + The ExactOrderingImpl class is used to create instances of ExactOrdering for specific types. It takes an Ordering instance as a parameter and delegates to it. + +3. What types are supported by the ExactOrdering object and how are they implemented? + + The ExactOrdering object supports Byte, Short, Int, and Long types. They are implemented using implicit objects that extend ExactOrderingImpl and take the corresponding Ordering instance from the Numeric object in the Scala library. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/Lazy.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/Lazy.md new file mode 100644 index 0000000000..d47762bd79 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/Lazy.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/Lazy.scala) + +The code above defines a class called `Lazy` and an object called `Lazy`. The `Lazy` class is a non-thread safe, but efficient on a single thread, immutable lazy value. The class takes a block of code as a parameter, which is executed only once. The `value` method of the class checks if the `_isSet` variable is false. If it is false, then the block of code is executed and the `_value` variable is set to the result of the block. The `_isSet` variable is then set to true. If `_isSet` is already true, then the `_value` variable is returned. + +The `isSet` method returns the value of the `_isSet` variable. The `toString` method returns a string representation of the lazy value. If `_isSet` is false, then the string "" is returned. Otherwise, the `toString` method of the `_value` variable is called and its result is returned. + +The `Lazy` object has a single method called `apply`. The `apply` method takes a block of code as a parameter and returns a new instance of the `Lazy` class with the block of code as its parameter. + +This code can be used in a larger project to create lazy values that are only evaluated once. This can be useful for expensive computations or for values that are only needed occasionally. For example, if a project needs to compute a large dataset, it can use the `Lazy` class to create a lazy value that computes the dataset only when it is needed. This can save time and resources by avoiding unnecessary computations. + +Here is an example of how the `Lazy` class can be used: + +``` +val lazyValue = Lazy { + println("Computing expensive value...") + Thread.sleep(1000) + 42 +} + +println("Lazy value created.") +println(lazyValue.value) +println(lazyValue.value) +``` + +In this example, a new lazy value is created with a block of code that computes an expensive value (in this case, the number 42). The `println` statement before the `value` method is called shows that the lazy value is only created once. The `println` statements after the `value` method is called show that the value is cached and not recomputed. +## Questions: + 1. What is the purpose of the `@volatile` keyword in front of the `_isSet` variable? + + The `@volatile` keyword ensures that the `_isSet` variable is always read from and written to main memory, rather than being cached in a thread's local memory. This is important for thread safety in multi-threaded environments. + +2. Can the `block` parameter of the `Lazy` class be null? + + Yes, the `block` parameter can be null, but attempting to access the `value` of a `Lazy` instance with a null `block` will result in a `NullPointerException`. + +3. Is the `Lazy` class thread-safe? + + No, the `Lazy` class is not thread-safe. While it is efficient on a single thread, it is not safe to use in a multi-threaded environment without additional synchronization mechanisms. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/OverloadHack.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/OverloadHack.md new file mode 100644 index 0000000000..771e3cfebd --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/OverloadHack.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/OverloadHack.scala) + +The code above defines an object called "OverloadHack" that contains a trait and three classes that are used to differentiate between overloaded methods in Scala. The purpose of this code is to provide a workaround for the issue of method argument type erasure in Scala. + +In Scala, when two methods have the same name and number of arguments, the compiler will treat them as identical after erasure, which can cause compilation errors. To avoid this issue, the "OverloadHack" object defines three classes that extend a trait called "Overloaded". Each of these classes has a unique "toString" method that returns a different string representation of the class. + +Additionally, the object defines three implicit values of each of the overloaded classes. These implicit values can be used as arguments in overloaded methods to differentiate between them. For example, if we have two methods with the same name and number of arguments, but one takes a list of integers and the other takes a list of strings, we can use the "Overloaded1" and "Overloaded2" implicit values to differentiate between them: + +``` +def m1(l: List[Int])(implicit o: Overloaded1) +def m2(l: List[String])(implicit o: Overloaded2) +``` + +By including the implicit argument in the method signature, we can ensure that the compiler will treat these methods as distinct, even after erasure. + +Overall, the "OverloadHack" object provides a useful workaround for the issue of method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures. +## Questions: + 1. What is the purpose of this code? + This code defines a Scala object called OverloadHack that provides a trick to avoid compilation errors due to erasure of method argument types. + +2. How does the trick work? + The trick involves defining implicit arguments of different types for methods with identical signatures after erasure, which allows the compiler to differentiate between them and avoid the compilation error. + +3. Can this trick be used in other contexts besides Scala? + It is possible that similar tricks could be used in other languages or contexts where erasure of method argument types is an issue, but the specifics would depend on the language and context. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/TypeDesc.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/TypeDesc.md new file mode 100644 index 0000000000..08549d895a --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/TypeDesc.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/TypeDesc.scala) + +The code defines a hierarchy of runtime type descriptors used to represent the structure of data values in the Sigma programming language. The RType abstract class is the base type for all runtime type descriptors. It is parameterized by a type parameter A, which represents the type of the data value being described. The class has three methods: classTag, name, and emptyArray. The classTag method returns a ClassTag instance suitable for constructing instances of Array[A]. The name method returns a syntactically correct type name (type expression as String). The emptyArray method creates an empty immutable array of this type. + +The RType object contains helper methods and classes to request RType instances from an implicit scope. It also contains a set of predefined RType instances for primitive types such as Boolean, Byte, Short, Int, Long, Char, Float, Double, and Unit. Additionally, it defines RType instances for more complex types such as String, pairs, arrays, options, and thunks. + +The RType hierarchy is used to check the actual type of data values in registers and context variables against the expected type in the script. For example, the getReg and getVar methods in the Sigma interpreter use RType instances to check the type of the data value stored in a register or context variable. + +Overall, the RType hierarchy is an essential component of the Sigma programming language, enabling type checking and ensuring the correctness of scripts. +## Questions: + 1. What is the purpose of the RType class and its subclasses? +- The RType class and its subclasses are used to represent the structure of data values in the Sigma project. They are used to check that the actual type of a value is the same as the expected type. + +2. What is the purpose of the apply method in the RType object? +- The apply method in the RType object is a helper method that allows developers to request RType instances from an implicit scope. + +3. What is the purpose of the ThunkType class and its implicit conversion method? +- The ThunkType class and its implicit conversion method are used to represent the underlying type of Thunk[A] values (or by-name values of type A) in the Sigma project. The implicit conversion method allows developers to obtain an RType instance for ThunkData[A] values. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/WrapSpec.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/WrapSpec.md new file mode 100644 index 0000000000..e2bd8573ce --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/WrapSpec.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/WrapSpec.scala) + +The code provided is a Scala trait called "WrapSpec". This trait serves as a base type for all wrapper specification classes in the project. The purpose of this trait is to provide a common interface for all wrapper specification classes to implement. + +A wrapper specification class is a class that defines how a certain type should be wrapped. For example, the "OptionWrapSpec" class may define how an Option type should be wrapped. + +By defining a common interface for all wrapper specification classes, the project can easily add new wrapper types without having to modify existing code. This makes the project more modular and easier to maintain. + +Here is an example of how the "WrapSpec" trait may be used in the project: + +``` +class MyTypeWrapSpec extends WrapSpec { + // Define how MyType should be wrapped +} +``` + +In this example, a new wrapper specification class called "MyTypeWrapSpec" is created. This class extends the "WrapSpec" trait, which ensures that it implements the common interface for all wrapper specification classes. + +Overall, the "WrapSpec" trait plays an important role in the project by providing a common interface for all wrapper specification classes. This makes the project more modular and easier to maintain. +## Questions: + 1. What is the purpose of the `WrapSpec` trait? + + The `WrapSpec` trait serves as the base type for all wrapper specification classes in the project. + +2. Can you provide an example of a wrapper specification class that uses the `WrapSpec` trait? + + Yes, the `OptionWrapSpec` class is provided as an example of a wrapper specification class that uses the `WrapSpec` trait. + +3. Is there any additional documentation or examples available for using the `WrapSpec` trait? + + It is not clear from the code provided if there is any additional documentation or examples available for using the `WrapSpec` trait. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/package.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/package.md new file mode 100644 index 0000000000..e44e5d5de0 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/package.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/package.scala) + +The code above defines a package object called "scalan" which contains several utility functions and values that can be used throughout the project. + +The first function defined is "rtypeToClassTag", which allows for implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available. This function takes an implicit parameter of type RType[A] and returns a ClassTag[A]. This function is useful for cases where a ClassTag is needed but not explicitly provided, as it allows the compiler to find the appropriate ClassTag based on the type of the input parameter. + +The next two values defined are "EmptyArrayOfInt" and "EmptySeqOfInt". These are both immutable empty collections of integers that should be used instead of allocating new empty arrays or sequences. The "EmptySeqOfInt" value is backed by the "EmptyArrayOfInt" array, and is preferred over using "Seq[Int]()" or "Seq.empty[Int]". These values are useful for cases where an empty collection of integers is needed, as they avoid unnecessary allocations. + +The final function defined is "emptyDBufferOfInt", which creates a new empty buffer around a pre-allocated empty array. This function is preferred over creating an empty debox.Buffer directly because it allows for the avoidance of allocation of the empty array. Note that this function allocates a new Buffer, but the underlying empty array is shared. This is safe because empty arrays are immutable. This function is useful for cases where an empty buffer of integers is needed, as it avoids unnecessary allocations. + +Overall, this code provides several utility functions and values that can be used throughout the project to avoid unnecessary allocations and improve performance. +## Questions: + 1. What is the purpose of the `implicit def rtypeToClassTag` method? + + This method allows implicit resolution to find the appropriate instance of ClassTag in the scope where RType is implicitly available. + +2. What is the difference between `EmptyArrayOfInt` and `EmptySeqOfInt`? + + `EmptyArrayOfInt` is an immutable empty array of integers, while `EmptySeqOfInt` is an immutable empty Seq[Int] backed by an empty array. It is recommended to use `EmptySeqOfInt` instead of `Seq[Int]()` or `Seq.empty[Int]`. + +3. Why is `emptyDBufferOfInt` preferred over creating an empty `debox.Buffer` directly? + + `emptyDBufferOfInt` creates a new empty buffer around a pre-allocated empty array, which allows avoiding allocation of the empty array. The underlying empty array is shared, which is safe because empty arrays are immutable. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/CommonReflection.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/CommonReflection.md new file mode 100644 index 0000000000..a021f7aed9 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/CommonReflection.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/CommonReflection.scala) + +The CommonReflection object in the scalan.reflection package contains a set of utility methods for registering and storing information about classes and their constructors, fields, and methods. The main purpose of this code is to provide a centralized location for storing metadata about classes that can be used by other parts of the project. + +The classes variable is a mutable HashMap that stores instances of the SRClass class, which contains information about a given class's constructors, fields, and methods. The registerClassEntry method is used to add new entries to the classes HashMap. It takes a Class object as its first argument, which is the class to be registered, and optional arguments for the class's constructors, fields, and methods. The method is synchronized to ensure thread safety when adding new entries to the HashMap. + +The code then proceeds to register several built-in classes, such as Boolean, Byte, Short, Int, Long, and Product2. It also registers the immutable List class and its cons (::) constructor, which takes an Object and a List as arguments. Additionally, it registers the Option and Some classes, along with their filter and map methods. + +Overall, this code provides a way to store and retrieve metadata about classes in a centralized location, which can be useful for other parts of the project that need to access this information. For example, other parts of the project may use this metadata to generate code or perform runtime reflection. Here is an example of how this code could be used to retrieve information about a registered class: + +``` +val clazz = classOf[Boolean] +val srClass = CommonReflection.classes.get(clazz) +if (srClass.isDefined) { + // do something with srClass +} else { + // handle case where clazz is not registered +} +``` +## Questions: + 1. What is the purpose of the `CommonReflection` object? +- The `CommonReflection` object contains a `registerClassEntry` method that registers information about classes, constructors, fields, and methods. It is used to reflect on the structure of classes at runtime. + +2. What is the purpose of the `classes` mutable HashMap? +- The `classes` HashMap is used to store information about registered classes, with the class object as the key and an `SRClass` object as the value. This allows for efficient lookup of class information at runtime. + +3. What is the purpose of the code block that registers information about `scala.Option` and `scala.Some`? +- The code block registers information about the `filter` and `map` methods for `scala.Option`, and the constructor for `scala.Some`. This allows for reflection on these classes and their methods at runtime. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/JavaImpl.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/JavaImpl.md new file mode 100644 index 0000000000..c80d34953e --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/JavaImpl.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/JavaImpl.scala) + +The `JRClass` class is a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It implements the `RClass` trait, which defines methods for accessing these reflective elements. + +The `fields` and `methods` properties are mutable hash maps that cache `RField` and `RMethod` objects, respectively, for each field and method of the wrapped class. The `getField` and `getMethod` methods use these caches to return the corresponding `RField` or `RMethod` object for a given field or method name and parameter types. These methods use the `memoize` function from the `RClass` companion object to lazily compute and cache the `RField` or `RMethod` object if it has not already been cached. + +The `constructors` property is a mutable array that caches `RConstructor` objects for each constructor of the wrapped class. The `getConstructors` method uses double-checked locking to lazily compute and cache the `RConstructor` objects if they have not already been cached. It uses the `cfor` function from the `debox` library to iterate over the array of `Constructor[Any]` objects returned by `value.getConstructors`, and creates a new `JRConstructor` object for each one. The `getUsedConstructors` method returns a filtered sequence of `JRConstructor` objects that have been used to create new instances of the wrapped class. + +The remaining methods of `JRClass` provide access to various properties of the wrapped class, such as its simple name, full name, superclass, and whether it is a primitive type. The `getDeclaredMethods` method returns an array of `RMethod` objects for all methods declared by the wrapped class. + +The `JRField`, `JRConstructor`, and `JRMethod` classes are private helper classes that implement the `RField`, `RConstructor`, and `RMethod` traits, respectively. They provide a thin wrapper around the corresponding Java reflection classes, and are used by `JRClass` to create the `RField`, `RConstructor`, and `RMethod` objects that it caches. + +The `RInvocationException` class is a custom exception that is thrown when an invocation of a reflective method fails. +## Questions: + 1. What is the purpose of the `JRClass` class? +- The `JRClass` class is a wrapper around the `java.lang.Class` class that provides additional functionality for reflection. + +2. What is the purpose of the `memoize` method? +- The `memoize` method is used to cache the results of method calls to improve performance by avoiding redundant computations. + +3. What is the purpose of the `RInvocationException` class? +- The `RInvocationException` class is a custom exception that is thrown when an error occurs during a reflection invocation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/RClass.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/RClass.md new file mode 100644 index 0000000000..c25b9a9cdd --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/RClass.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/RClass.scala) + +The code provided is a Scala package containing classes and traits for reflection. Reflection is a feature in programming languages that allows for the inspection and modification of code at runtime. This package provides a way to inspect and modify classes, methods, and fields in Scala. + +The `RField` class is an abstract class that defines a method `getType` which returns the type of the field. This class can be extended to create fields with specific types. + +The `RConstructor` trait is a trait that defines two methods: `newInstance` and `getParameterTypes`. The `newInstance` method creates a new instance of the class with the given arguments. The `getParameterTypes` method returns an array of the parameter types of the constructor. + +The `RMethod` class is an abstract class that defines four methods: `invoke`, `getName`, `getDeclaringClass`, and `getParameterTypes`. The `invoke` method invokes the method on the given object with the given arguments. The `getName` method returns the name of the method. The `getDeclaringClass` method returns the class that declares the method. The `getParameterTypes` method returns a sequence of the parameter types of the method. + +The `RClass` class is an abstract class that defines several methods for inspecting and modifying classes. The `getField` method returns an `RField` object for the field with the given name. The `getMethod` method returns an `RMethod` object for the method with the given name and parameter types. The `getSimpleName` method returns the simple name of the class. The `getName` method returns the fully qualified name of the class. The `getConstructors` method returns a sequence of `RConstructor` objects for the constructors of the class. The `isPrimitive` method returns true if the class is a primitive type. The `getSuperclass` method returns the superclass of the class. The `isAssignableFrom` method returns true if the class is assignable from the given class. The `getDeclaredMethods` method returns an array of `RMethod` objects for the declared methods of the class. + +The `RClass` object contains a `memoize` method that takes a mutable HashMap and a key-value pair. The `memoize` method returns the value associated with the key if it exists in the HashMap. If the key is not found, the value is computed and added to the HashMap. This method is used to cache reflection data for classes. + +The `RClass` object also contains an `apply` method that takes a class and returns an `RClass` object for that class. The `apply` method first checks if the class is already in the `classes` HashMap. If it is, the cached `JRClass` object is returned. If it is not, an error is thrown. There is also a commented out line that can be used to generate Scala code for missing reflection data. + +Overall, this package provides a way to inspect and modify classes, methods, and fields in Scala using reflection. It can be used in larger projects that require runtime inspection and modification of code. +## Questions: + 1. What is the purpose of the `RClass` class and its associated traits and methods? +- The `RClass` class and its associated traits and methods provide reflection capabilities for working with classes in Scala, including accessing fields and methods, creating instances, and checking class relationships. + +2. What is the purpose of the `memoize` method in the `RClass` object? +- The `memoize` method is a utility function for caching values in a mutable HashMap. It takes a key and a function that generates a value, and returns either the cached value for the key or the newly generated value, which is also cached for future use. + +3. What is the purpose of the `classes` HashMap in the `RClass` object? +- The `classes` HashMap is used to cache `JRClass` instances for reflection data that is not available at compile time. This allows the `apply` method to return cached reflection data for previously accessed classes, rather than generating it anew each time. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/StaticImpl.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/StaticImpl.md new file mode 100644 index 0000000000..db36e19c05 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/StaticImpl.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/StaticImpl.scala) + +The code in this file defines several classes and a field that are used for reflection in Scala. Reflection is the ability of a program to inspect and modify its own structure and behavior at runtime. The classes defined in this file are used to represent constructors, methods, and fields of a class, and to provide access to them at runtime. + +The `SRField` class represents a field of a class and has a name and a type. It extends the `RField` trait, which defines methods for getting the type of the field. The `equals` and `hashCode` methods are overridden to compare fields based on their names. + +The `SRConstructor` class represents a constructor of a class and has an array of parameter types. It extends the `RConstructor` trait, which defines a method for getting the parameter types of the constructor. + +The `SRMethod` class represents a method of a class and has a declaring class, a name, and a sequence of parameter types. It extends the `RMethod` trait, which defines methods for getting the name, declaring class, and parameter types of the method. The `equals` method is overridden to compare methods based on their declaring class, name, and parameter types. + +The `SRClass` class represents a class and has a `Class` object, a sequence of constructors, a map of fields, and a map of methods. It extends the `RClass` trait, which defines methods for getting the fields, methods, constructors, superclass, and name of the class. The `getField` method returns a field with the given name, or throws a `NoSuchFieldException` if no such field exists. The `getMethod` method returns a method with the given name and parameter types, or throws a `NoSuchMethodException` if no such method exists. The `equals` and `hashCode` methods are overridden to compare classes based on their `Class` objects. + +Overall, this code provides a way to represent and access the constructors, methods, and fields of a class at runtime. It can be used in a larger project that requires dynamic behavior, such as dependency injection or serialization. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members. +## Questions: + 1. What is the purpose of the `SRClass` class? +- The `SRClass` class is used to represent a Scala class and provides methods to access its constructors, fields, and methods. + +2. What is the difference between `SRField` and `RField`? +- `SRField` extends `RField` and adds a `name` property to represent the name of the field. + +3. What is the purpose of the `SRMethod` class? +- The `SRMethod` class is used to represent a Scala method and provides methods to access its name, declaring class, and parameter types. It also overrides the `equals` method to compare methods based on their name, declaring class, and parameter types. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/package.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/package.md new file mode 100644 index 0000000000..3e103b55e8 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/package.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/reflection/package.scala) + +The code provided is a Scala package object that contains two methods: `mkMethod` and `mkConstructor`. These methods are used for creating reflective methods and constructors, respectively. + +The `mkMethod` method takes in three parameters: `clazz`, `name`, and `paramTypes`. `clazz` is a `Class` object that represents the class that the method belongs to. `name` is a `String` that represents the name of the method. `paramTypes` is a sequence of `Class` objects that represent the parameter types of the method. The method also takes in a `handler` function that takes in an `Any` object and an array of `AnyRef` objects and returns an `Any` object. The `mkMethod` method returns a tuple that contains a tuple of the method name and parameter types, and an instance of the `SRMethod` class that extends the `RMethod` trait. The `SRMethod` class overrides the `invoke` method of the `RMethod` trait to call the `handler` function with the `obj` and `args` parameters. + +The `mkConstructor` method takes in a single parameter `parameterTypes`, which is an array of `Class` objects that represent the parameter types of the constructor. The method also takes in a `handler` function that takes in an array of `AnyRef` objects and returns an `Any` object. The `mkConstructor` method returns an instance of the `SRConstructor` class that extends the `RConstructor` trait. The `SRConstructor` class overrides the `newInstance` method of the `RConstructor` trait to call the `handler` function with the `args` parameter. + +These methods can be used in a larger project that requires reflective methods and constructors. For example, if a project needs to dynamically create instances of classes or invoke methods on objects at runtime, these methods can be used to achieve that. Here is an example of how the `mkMethod` method can be used: + +``` +class MyClass { + def myMethod(param1: Int, param2: String): String = { + s"$param1 $param2" + } +} + +val myClass = new MyClass +val methodTuple = ("myMethod", Seq(classOf[Int], classOf[String])) +val reflectiveMethod = reflection.mkMethod(classOf[MyClass], methodTuple._1, methodTuple._2) { (obj, args) => + obj.asInstanceOf[MyClass].myMethod(args(0).asInstanceOf[Int], args(1).asInstanceOf[String]) +} +val result = reflectiveMethod._2.invoke(myClass, 1, "hello") +println(result) // prints "1 hello" +``` + +In this example, we create an instance of the `MyClass` class and use the `mkMethod` method to create a reflective method that calls the `myMethod` method on the `MyClass` instance. We then invoke the reflective method with the `invoke` method and pass in the `MyClass` instance and the method parameters. The result is printed to the console. +## Questions: + 1. What is the purpose of the `mkMethod` function? +- The `mkMethod` function creates a new instance of `SRMethod` with the given class, name, and parameter types, and sets its `invoke` method to the provided `handler` function. + +2. What is the difference between `mkMethod` and `mkConstructor`? +- `mkMethod` creates a new instance of `SRMethod`, while `mkConstructor` creates a new instance of `SRConstructor`. `SRMethod` represents a method of a class, while `SRConstructor` represents a constructor of a class. + +3. What is the purpose of the `reflection` package object? +- The `reflection` package object contains utility functions for working with reflection in Scala, such as `mkMethod` and `mkConstructor`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/summary.md new file mode 100644 index 0000000000..81404b47ae --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/reflection/summary.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection) + +The `.autodoc/docs/json/common/shared/src/main/scala/scalan/reflection` folder contains Scala code for reflection, which allows programs to inspect and modify their own structure and behavior at runtime. This functionality is useful for projects that require dynamic behavior, such as dependency injection, serialization, or code generation. + +The `CommonReflection.scala` file provides a centralized location for storing metadata about classes, including their constructors, fields, and methods. It registers several built-in classes and their associated metadata. This information can be accessed by other parts of the project that need to perform runtime reflection or generate code. For example: + +```scala +val clazz = classOf[Boolean] +val srClass = CommonReflection.classes.get(clazz) +if (srClass.isDefined) { + // do something with srClass +} else { + // handle case where clazz is not registered +} +``` + +The `JavaImpl.scala` file defines the `JRClass` class, a wrapper around a Java `Class` object that provides reflective access to the class's fields, methods, and constructors. It caches `RField`, `RConstructor`, and `RMethod` objects for efficient access to these reflective elements. The `RInvocationException` class is a custom exception thrown when an invocation of a reflective method fails. + +The `RClass.scala` file contains classes and traits for reflection, such as `RField`, `RConstructor`, `RMethod`, and `RClass`. These classes provide methods for inspecting and modifying classes, methods, and fields in Scala. The `RClass` object contains a `memoize` method for caching reflection data and an `apply` method for creating `RClass` objects. + +The `StaticImpl.scala` file defines classes for representing constructors, methods, and fields of a class at runtime, such as `SRField`, `SRConstructor`, `SRMethod`, and `SRClass`. These classes extend the corresponding traits from the `RClass.scala` file and provide methods for accessing the represented elements. + +Overall, the code in this folder enables runtime inspection and modification of classes, methods, and fields in Scala. It can be integrated into larger projects that require dynamic behavior or runtime reflection. For example, a framework that uses reflection to instantiate objects and invoke methods based on configuration files could use these classes to represent the classes and their members. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/summary.md new file mode 100644 index 0000000000..37f1fb80d7 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/summary.md @@ -0,0 +1,66 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan) + +The `.autodoc/docs/json/common/shared/src/main/scala/scalan` folder contains various utility classes and traits that can be used throughout the larger project to optimize performance, provide runtime type information, and extend the functionality of built-in Scala types. + +For example, the `Nullable` class in `AnyVals.scala` can be used to avoid unnecessary allocations and memory accesses when working with optional values. This can be particularly useful in performance-critical code: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The `DFunc` class in `DFunc.scala` allows defining specialized functions that can be called with unboxed values, improving performance: + +```scala +class IntAddition extends DFunc[Int, Int] { + def apply(x: Int): Int = x + 1 +} + +val addOne = new IntAddition +val result = addOne(5) // 6 +``` + +The `ExactIntegral` type-class in `ExactIntegral.scala` provides arithmetic operations with overflow checks for integral types: + +```scala +import scalan.ExactIntegral._ + +val x: Int = 2147483647 +val y: Int = 1 +val z: Int = x + y // throws ArithmeticException: integer overflow +``` + +The `Lazy` class in `Lazy.scala` can be used to create lazy values that are only evaluated once, saving time and resources: + +```scala +val lazyValue = Lazy { + println("Computing expensive value...") + Thread.sleep(1000) + 42 +} + +println("Lazy value created.") +println(lazyValue.value) +println(lazyValue.value) +``` + +The `OverloadHack` object in `OverloadHack.scala` provides a workaround for method argument type erasure in Scala, allowing developers to define overloaded methods with distinct signatures: + +```scala +def m1(l: List[Int])(implicit o: Overloaded1) +def m2(l: List[String])(implicit o: Overloaded2) +``` + +The `RType` hierarchy in `TypeDesc.scala` enables runtime type checking and ensures the correctness of scripts in the Sigma programming language: + +```scala +val clazz = classOf[Boolean] +val srClass = CommonReflection.classes.get(clazz) +if (srClass.isDefined) { + // do something with srClass +} else { + // handle case where clazz is not registered +} +``` + +The utility functions and classes in the `util` subfolder provide additional functionality for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/CollectionUtil.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/CollectionUtil.md new file mode 100644 index 0000000000..5a59e4dd70 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/CollectionUtil.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/CollectionUtil.scala) + +The CollectionUtil object provides utility functions for working with collections in Scala. + +The `concatArrays` method is deprecated and should not be used. It concatenates two arrays of the same type into a new array. The `concatArrays_v5` method is the recommended replacement for `concatArrays`. It concatenates two arrays of the same type into a new array using `System.arraycopy`. It takes a `ClassTag` to create the proper resulting array. + +The `deepHashCode` method returns a hash code for an array. It uses `java.util.Arrays` to compute the hash code. + +The `createMultiMap` method groups a sequence of pairs by their first values as keys. It returns a multimap with an `ArrayBuffer` of values for each key. + +The `joinSeqs` method performs a relational inner join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and two functions, `outKey` and `inKey`, that extract the keys from the elements of the sequences. It returns a sequence of pairs of elements from `outer` and `inner` that have the same key. + +The `outerJoinSeqs` method performs an outer join of two sequences using the given key projections. It takes two sequences, `outer` and `inner`, and three functions, `outKey`, `inKey`, and `proj`, that extract the keys from the elements of the sequences and combine the elements into a result. It returns a sequence of pairs of keys and results. + +The `AnyOps` implicit class provides a `traverseDepthFirst` method that traverses a tree of elements depth-first and returns a list of elements. + +The `TraversableOps` implicit class provides several methods for working with collections. The `updateMany` method returns a copy of the collection where elements at the specified indices are replaced with the specified values. The `cast` method checks that each element of the collection is of a specified type and returns the collection casted to that type. The `distinctBy` method returns a new collection with duplicate elements removed based on a key function. The `sameElements2` method checks if two collections have the same elements in the same order, including nested collections and arrays. + +Overall, the CollectionUtil object provides a set of useful utility functions for working with collections in Scala. These functions can be used in a variety of contexts to manipulate and transform collections. +## Questions: + 1. What is the purpose of the `concatArrays` method and why is it deprecated? +- The `concatArrays` method concatenates two arrays into a new resulting array, but it is deprecated and should only be used for backwards compatibility with v3.x and v4.x. +2. What is the difference between the `createMultiMap` and `joinSeqs` methods? +- The `createMultiMap` method groups a given sequence of pairs by first values as keys and returns a multimap with ArrayBuffer of values for each key, while the `joinSeqs` method performs a relational inner join of two sequences using the given key projections. +3. What is the purpose of the `distinctBy` method and why is it needed? +- The `distinctBy` method is used to return a new collection with distinct elements based on a key function, and it is needed for compatibility with Scala 2.11. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/Extensions.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/Extensions.md new file mode 100644 index 0000000000..38816459e6 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/Extensions.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/Extensions.scala) + +The code in this file provides a set of implicit classes and methods that extend the functionality of built-in Scala types. These extensions include methods for converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. + +One notable method is `to256BitValueExact`, which checks whether a given `BigInteger` can be represented as a 256-bit two's-complement value. This method is used in deserialization to ensure that a `BigInteger` value can be safely converted to a fixed-size byte array without losing information. + +The code also includes an implicit class called `Ensuring`, which provides a way to add runtime assertions to any value. The `ensuring` method takes a condition and an error message, and throws an exception if the condition is not met. This can be useful for enforcing invariants or validating input parameters. + +Overall, this code provides a set of utility functions that can be used throughout a larger project to extend the functionality of built-in types and perform common operations with additional safety checks. + +Example usage: + +```scala +import scalan.util.Extensions._ + +val x: Int = 100 +val y: Short = 200 +val z: Byte = 1 + +// Convert between numeric types +val xByte: Byte = x.toByteExact +val yInt: Int = y.toIntExact +val zShort: Short = z.toShortExact + +// Perform arithmetic operations with overflow checking +val sum: Byte = z.addExact(xByte) +val diff: Short = y.subtractExact(xByte) +val prod: Byte = z.multiplyExact(xByte) + +// Convert boolean values to bytes +val trueByte: Byte = true.toByte +val falseByte: Byte = false.toByte + +// Add runtime assertions to a value +val result = x + y + z +result.ensuring(_ > 0, _ => s"Result should be positive but was $result") +``` +## Questions: + 1. What is the purpose of the `Extensions` object and its implicit classes? +- The `Extensions` object contains implicit classes that provide additional functionality to primitive types such as `Byte`, `Short`, `Int`, `Long`, `Boolean`, and `BigInteger`. +2. What is the purpose of the `toUByte` method? +- The `toUByte` method is used to convert a signed byte to an unsigned byte by masking the byte with `0xFF`. +3. What is the purpose of the `to256BitValueExact` method? +- The `to256BitValueExact` method checks if a `BigInteger` can be represented as a 256-bit two's-complement value and returns the value if it can, otherwise it throws an `ArithmeticException`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/GraphUtil.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/GraphUtil.md new file mode 100644 index 0000000000..e011863fd4 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/GraphUtil.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/GraphUtil.scala) + +# GraphUtil Code Explanation + +The `GraphUtil` object contains two methods that implement a depth-first search algorithm to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. + +The `depthFirstSetFrom` method takes two parameters: a `starts` buffer containing the starting nodes for the search, and a `neighbours` function representing the adjacency matrix of the graph. The method returns a `DSet` of nodes reachable from the `starts` including `starts` themselves. The `neighbours` function takes a node `s` and returns a `DBuffer` of its neighbors. The method uses a recursive `visit` function to traverse the graph starting from each node in the `starts` buffer. The `visited` set keeps track of the nodes that have already been visited to avoid revisiting them. + +The `depthFirstOrderFrom` method also takes a `starts` buffer and a `neighbours` function as parameters. It returns a topologically ordered `DBuffer` of nodes reachable from the `starts` including `starts` themselves. The method uses a similar recursive `visit` function as the `depthFirstSetFrom` method, but it also appends each visited node to a `res` buffer after visiting all of its neighbors. This ensures that the nodes are added to the result buffer in the correct order. + +Both methods use the `cfor` loop from the `debox` library to iterate over the nodes in the `starts` buffer and the neighbors of each visited node. The `@specialized(Int)` annotation on the type parameter `A` ensures that the method is optimized for `Int` types. The `ClassTag` context bound on the type parameter `A` allows the method to create new instances of the type `A` at runtime. + +These methods can be used in a larger project to analyze graphs and extract information about their structure. For example, they could be used to find all the nodes that are reachable from a given set of starting nodes, or to order the nodes in a graph based on their dependencies. The methods could also be extended to handle weighted graphs or directed graphs by modifying the `neighbours` function. + +Example usage: + +``` +import scalan.util.GraphUtil + +val graph = Map( + 1 -> List(2, 3), + 2 -> List(4), + 3 -> List(4), + 4 -> List() +) + +val starts = debox.Buffer.of(1) +val neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List())) + +val reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours) +val orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours) + +println(reachableNodes) // DSet(1, 2, 3, 4) +println(orderedNodes) // DBuffer(4, 2, 3, 1) +``` +## Questions: + 1. What is the purpose of the `GraphUtil` object? +- The `GraphUtil` object provides two methods for building and ordering a set of reachable nodes in a graph using a depth first search algorithm. + +2. What is the input format for the `depthFirstSetFrom` method? +- The `depthFirstSetFrom` method takes in a starting set of nodes and a function representing the adjacency matrix of the graph, where the type of value representing the node should implement equality which is used in debox.Set. + +3. What is the output format for the `depthFirstOrderFrom` method? +- The `depthFirstOrderFrom` method returns a topologically ordered sequence of nodes reachable from the starting nodes, including the starting nodes themselves, in the form of a DBuffer. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/MemoizedFunc.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/MemoizedFunc.md new file mode 100644 index 0000000000..ec72fb3eb2 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/MemoizedFunc.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/MemoizedFunc.scala) + +The `MemoizedFunc` class is designed to transform a given function into a memoized equivalent function. Memoization is a technique that involves caching the results of a function so that it can be retrieved on repeated invocations with the same argument. This can be useful in situations where the function is computationally expensive and is called frequently with the same arguments. + +The `MemoizedFunc` class takes a function `f` as its input and returns a new function that is memoized. The memoization is implemented by computing the function `f` only once for each argument value and storing the computed result in a hash table. The hash table is implemented using the `AVHashMap` class, which is a custom implementation of a hash table that is optimized for performance. + +The `apply` method of the `MemoizedFunc` class is used to apply the memoized function to a given argument. If the result for the argument is already present in the hash table, it is retrieved and returned. Otherwise, the function `f` is computed for the argument, and the result is stored in the hash table for future use. + +The `reset` method of the `MemoizedFunc` class is used to clear the cache of memoized results. This can be useful in situations where the function `f` is updated or the arguments change, and the cached results are no longer valid. + +Overall, the `MemoizedFunc` class provides a simple and efficient way to memoize a function in Scala. It can be used in a variety of contexts where memoization is useful, such as in machine learning algorithms or in web applications that require frequent computations. Here is an example of how to use the `MemoizedFunc` class: + +``` +val memoizedFunc = new MemoizedFunc((x: Int) => { + // Some expensive computation + x * x +}) + +val result1 = memoizedFunc(5) // Computes result for 5 +val result2 = memoizedFunc(5) // Retrieves cached result for 5 +memoizedFunc.reset() // Clears the cache +val result3 = memoizedFunc(5) // Computes result for 5 again +``` +## Questions: + 1. What is the purpose of the AVHashMap import? + - The AVHashMap is used to store the computed results of the function in a hash table for memoization. + +2. Can the MemoizedFunc class be used with functions that have multiple arguments? + - No, the MemoizedFunc class only accepts functions with a single argument of type AnyRef. + +3. Is it possible to change the size of the hash table used for memoization? + - Yes, the size of the hash table can be changed by modifying the argument passed to the AVHashMap constructor. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/StringUtil.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/StringUtil.md new file mode 100644 index 0000000000..fe3383b579 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/StringUtil.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/scalan/util/StringUtil.scala) + +# StringUtil Code Explanation + +The `StringUtil` object contains utility functions for manipulating strings. The purpose of this code is to provide a set of functions that can be used to manipulate strings in various ways. + +The `quote` function takes an input `x` of any type and returns a string with the input enclosed in double quotes. This function can be used to format strings for display or output. + +The `deepAppend` function takes a `StringBuilder` object and an input `x` of any type. It recursively descends into the array structure of `x` and appends a string representation of `x` to the `StringBuilder`. This function can be used to convert complex data structures to strings for display or output. + +The `cleanFileName` function takes an input string and returns a new string that can be used as a file name. This function replaces spaces with hyphens and removes any characters that are not printable. This function can be used to sanitize user input for use as a file name. + +The `fileName` function takes a file name and a list of path components and returns a string that represents the full file path. This function can be used to construct file paths from components. + +The `StringUtilExtensions` class provides two extension methods for strings. The `isNullOrEmpty` method returns true if the string is null or empty. The `opt` method takes two optional parameters: a function to apply to the string and a default value to return if the string is empty. This method can be used to provide a default value for empty strings. + +Overall, the `StringUtil` object provides a set of utility functions for manipulating strings that can be used in a variety of contexts. +## Questions: + 1. What does the `deepAppend` method do? + - The `deepAppend` method takes a `StringBuilder` and an object `x` as input and recursively descends into the Array structure of `x` to emit its string representation into the `StringBuilder`. +2. What is the purpose of the `cleanFileName` method? + - The `cleanFileName` method accepts a string and returns a similar string that can be used as a file name. It replaces spaces and certain special characters with underscores to ensure that the resulting string is a valid file name. +3. What is the purpose of the `StringUtilExtensions` class? + - The `StringUtilExtensions` class provides two extension methods for the `String` class: `isNullOrEmpty` checks if the string is null or empty, and `opt` returns the string if it is not empty, otherwise it returns a default value. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/summary.md new file mode 100644 index 0000000000..a8067db14e --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/scalan/util/summary.md @@ -0,0 +1,60 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/scalan/util) + +The `.autodoc/docs/json/common/shared/src/main/scala/scalan/util` folder contains utility functions and classes for working with collections, strings, graphs, and memoization. These utilities can be used throughout the larger project to perform common operations and extend the functionality of built-in Scala types. + +`CollectionUtil.scala` provides utility functions for working with collections in Scala, such as concatenating arrays, computing hash codes, creating multimaps, and performing relational joins on sequences. The `AnyOps` and `TraversableOps` implicit classes provide additional methods for traversing trees and manipulating collections. Example usage: + +```scala +import scalan.util.CollectionUtil._ + +val arr1 = Array(1, 2, 3) +val arr2 = Array(4, 5, 6) +val concatArr = concatArrays_v5(arr1, arr2) // Array(1, 2, 3, 4, 5, 6) +``` + +`Extensions.scala` contains implicit classes and methods that extend the functionality of built-in Scala types, such as converting between numeric types, performing arithmetic operations with overflow checking, and converting boolean values to bytes. The `Ensuring` implicit class provides a way to add runtime assertions to any value. Example usage: + +```scala +import scalan.util.Extensions._ + +val x: Int = 100 +val y: Short = 200 +val z: Byte = 1 + +val xByte: Byte = x.toByteExact +val yInt: Int = y.toIntExact +val zShort: Short = z.toShortExact +``` + +`GraphUtil.scala` implements depth-first search algorithms to traverse a graph and return a set of reachable nodes or a topologically ordered sequence of reachable nodes. These methods can be used to analyze graphs and extract information about their structure. Example usage: + +```scala +import scalan.util.GraphUtil + +val graph = Map(1 -> List(2, 3), 2 -> List(4), 3 -> List(4), 4 -> List()) +val starts = debox.Buffer.of(1) +val neighbours = (n: Int) => debox.Buffer.fromIterable(graph.getOrElse(n, List())) + +val reachableNodes = GraphUtil.depthFirstSetFrom(starts)(neighbours) +val orderedNodes = GraphUtil.depthFirstOrderFrom(starts, neighbours) +``` + +`MemoizedFunc.scala` provides a class for transforming a given function into a memoized equivalent function, caching the results of a function for repeated invocations with the same argument. Example usage: + +```scala +val memoizedFunc = new MemoizedFunc((x: Int) => x * x) + +val result1 = memoizedFunc(5) +val result2 = memoizedFunc(5) +memoizedFunc.reset() +val result3 = memoizedFunc(5) +``` + +`StringUtil.scala` contains utility functions for manipulating strings, such as quoting, appending complex data structures to a `StringBuilder`, cleaning file names, and constructing file paths. The `StringUtilExtensions` class provides extension methods for strings, such as checking if a string is null or empty and providing a default value for empty strings. Example usage: + +```scala +import scalan.util.StringUtil._ + +val input = "example.txt" +val cleanName = cleanFileName(input) // "example-txt" +``` diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/VersionContext.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/VersionContext.md new file mode 100644 index 0000000000..3fe6461423 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/VersionContext.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/VersionContext.scala) + +The `VersionContext` object in the `sigmastate` package represents the currently activated protocol version and the currently executed ErgoTree version. It is used to version the code across the whole repository. This object is created with two parameters: `activatedVersion` and `ergoTreeVersion`, which are both of type `Byte`. Once set in a `DynamicVariable`, these parameters can be accessed everywhere on the current thread. + +The `VersionContext` object has two methods: `isJitActivated` and `isErgoTreeVersionGreaterV1`. The `isJitActivated` method returns `true` if the activated script version of Ergo protocol on the network is greater than v1. The `isErgoTreeVersionGreaterV1` method returns `true` if the version of ErgoTree being executed is greater than v1. + +The `VersionContext` object also has a companion object with several methods and variables. The `MaxSupportedScriptVersion` variable represents the maximum version of ErgoTree supported by this interpreter release. The `JitActivationVersion` variable represents the first version of ErgoTree starting from which the JIT costing interpreter must be used. + +The `_defaultContext` variable represents the default `VersionContext` object, which is used to version the code across the whole repository. The `_versionContext` variable is a `DynamicVariable` that represents the current `VersionContext` attached to the current thread. The `current` method returns the current `VersionContext` attached to the current thread. The `withVersions` method executes the given block under the given version context attached to the current thread. The `checkVersions` method checks if the version context has the given versions. + +Overall, the `VersionContext` object and its companion object are used to manage the versioning of the code across the whole repository. It allows for the activation of different versions of the Ergo protocol and ErgoTree, and ensures that the correct versions are being used throughout the codebase. +## Questions: + 1. What is the purpose of the VersionContext class? +- The VersionContext class represents the currently activated protocol version and currently executed ErgoTree version, which can be accessed everywhere on the current thread. + +2. What is the significance of the JitActivationVersion? +- The JitActivationVersion is the first version of ErgoTree starting from which the JIT costing interpreter must be used, and it must also be used for all subsequent versions. + +3. How can a developer execute a block of code with specific versions using the VersionContext? +- A developer can use the withVersions method of the VersionContext to execute a block of code with specific activatedVersion and ergoTreeVersion parameters. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/kiama.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/kiama.md new file mode 100644 index 0000000000..43c23c175d --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/kiama.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/kiama.scala) + +The code is a package-level documentation for the Kiama Scala library for language processing. The library is developed by the Programming Languages Research Group at Macquarie University and is available on GitHub. The purpose of the library is to provide components for language processing, including tree decoration via attribute grammars, tree transformation via strategic term rewriting, dynamic semantics, and pretty-printing. + +The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. The `examples` package contains many examples of using Kiama to solve small to medium language processing problems. + +The code defines two type constructors for partial functions. The first type constructor `==>` takes two type parameters `T` and `U` and returns a partial function from `T` to `U`. The second type constructor `===>` takes one type parameter `T` and returns a partial function from `T` to `T`. These type constructors provide a convenient way to define partial functions in Scala. + +Overall, this code provides an overview of the Kiama library and its components. It also defines two type constructors that can be used in the library or in other Scala projects. +## Questions: + 1. What is the purpose of the Kiama library? + - The Kiama library is a Scala library for language processing that addresses tree decoration, tree transformation, dynamic semantics, and pretty-printing. + +2. What is the purpose of the `util` package? + - The `util` package contains support modules for parsing, input/output, read-eval-print loops (REPLs), and pattern matching. + +3. What are the `==>` and `===>` type constructors used for? + - The `==>` type constructor is a convenient type constructor for partial functions, while the `===>` type constructor is another convenient type constructor for partial functions. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.md new file mode 100644 index 0000000000..592e6e868e --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/CallbackRewriter.scala) + +The code provided is a part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. The purpose of this code is to provide a strategy-based term rewriting mechanism with callbacks. The `CallbackRewriter` trait extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. + +The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, pass the original and new terms to the `rewriting` method and succeed with the term that it returns. This method is used to create a new strategy that can be used to rewrite terms. + +The `rule`, `rulef`, `rulefs`, `strategy`, and `strategyf` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. These methods take a function or a strategy and return a new strategy that can be used to rewrite terms. + +The `dup` method is overridden to provide product duplication with callback notification. This method takes a product `t` and an array of children and returns a new product with the same children. The `rewriting` method is called with the old product and the new product, and the return value of the `rewriting` method is returned as the new product. + +Overall, this code provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. This code can be used in the larger project to provide a flexible and extensible mechanism for term rewriting. +## Questions: + 1. What is the purpose of the `CallbackRewriter` trait? + + The `CallbackRewriter` trait provides strategy-based term rewriting with callbacks, allowing clients to register functions that are called whenever a rewrite operation has happened. + +2. What is the `rewriting` method used for? + + The `rewriting` method is called whenever a rewrite operation has happened, with both the old and new terms passed as arguments. It returns a term that should go forward as the new term. + +3. How does the `dispatch` method work? + + The `dispatch` method produces a strategy that first runs the given strategy `s` on the current term. If `s` fails, then fail. Otherwise, it passes the original and new terms to the `rewriting` method and succeeds with the term that it returns. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.md new file mode 100644 index 0000000000..4d644e2a20 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/PlusStrategy.scala) + +## Code Explanation: PlusStrategy + +The `PlusStrategy` class is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. This class is only returned by the non-deterministic choice operator. The `p` and `q` parameters are evaluated at most once. + +The `PlusStrategy` class has three properties: + +1. `left`: The left alternative of the choice. +2. `right`: The right alternative of the choice. +3. `s`: The strategy itself (lazily computed). + +The `left` and `right` properties are lazily evaluated, meaning that they are only computed when they are needed. The `s` property is also lazily computed and is the result of applying the `<+` operator to the `left` and `right` properties. + +The `apply` method is the implementation of this strategy. It takes an argument `t` of type `Any` and applies the `s` strategy to it. + +This class is useful in the larger project as it provides a way to define non-deterministic choice operators and conditional choices. It allows for the creation of complex strategies that can be used to transform and manipulate code. Here is an example of how this class can be used: + +```scala +val p = new PlusStrategy(s1, s2) +val result = p.apply(input) +``` + +In this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result. +## Questions: + 1. What is the purpose of the `PlusStrategy` class? +- The `PlusStrategy` class is a helper class that contains commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It is only returned by the non-deterministic choice operator. + +2. What are `p` and `q` in the `PlusStrategy` class? +- `p` and `q` are lazy evaluated strategies that represent the left and right alternatives of the choice respectively. + +3. What is the `apply` method in the `PlusStrategy` class? +- The `apply` method is the implementation of the `Strategy` trait that applies the `s` strategy, which is lazily computed as the combination of the left and right alternatives of the choice. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.md new file mode 100644 index 0000000000..52374e88d8 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/rewriting/Strategy.scala) + +The code defines a set of rewriting strategies for terms of any type. The `Strategy` class is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. + +The `mkStrategy` method creates a new strategy with the given function. The `<*` method constructs a strategy that first applies this strategy. If it succeeds, then apply `q` to the new subject term. Otherwise, fail. The `<+` method constructs a strategy that first applies this strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q` to the original subject term. The `+` method constructs a non-deterministic choice strategy that first applies either this strategy or the given strategy. If it succeeds, succeed with the resulting term. Otherwise, apply `q`. The `<` method constructs a conditional choice strategy that first applies this strategy (`c`). If `c` succeeds, the strategy applies `l` to the resulting term, otherwise it applies `r` to the original subject term. + +These strategies can be used to transform terms in a larger project. For example, suppose we have a term representing a mathematical expression, and we want to simplify it by applying a set of rewriting rules. We can define a set of rewriting strategies using the `Strategy` class, and then apply them to the expression using the `apply` method. For example: + +``` +val expr: Expr = ... // some expression +val rules: Strategy = ... // set of rewriting strategies +val simplified = rules(expr).getOrElse(expr) +``` + +This code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn. +## Questions: + 1. What is the purpose of this code? +- This code defines a set of strategies for rewriting terms of any type. + +2. What is the difference between the `<*` and `<+` methods? +- The `<*` method applies the current strategy and then applies a second strategy to the resulting term if the first strategy succeeds. The `<+` method applies the current strategy and succeeds with the resulting term if it succeeds, otherwise it applies a second strategy to the original subject term. + +3. What is the purpose of the `PlusStrategy` class? +- The `PlusStrategy` class is used to implement non-deterministic choice between two strategies. It is used as an argument to the `+` method and the `<` method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.md new file mode 100644 index 0000000000..d278bf893d --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/rewriting/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/rewriting) + +The code in this folder is part of the Kiama project and is located in the `sigmastate.kiama.rewriting` package. It provides a set of rewriting strategies for terms of any type, allowing for powerful term rewriting with callbacks. This can be used in the larger project to provide a flexible and extensible mechanism for term rewriting. + +**CallbackRewriter.scala** extends the `Rewriter` trait and provides a method `rewriting` that is called whenever a rewrite operation has happened. This method takes two arguments, the old term and the new term, and returns a term that should go forward as the new term. The `dispatch`, `rule`, `rulef`, `rulefs`, `strategy`, `strategyf`, and `dup` methods are overridden to use the `dispatch` method to create a new strategy that can be used to rewrite terms. + +**PlusStrategy.scala** is a helper class that is used to contain commonality of choice in non-deterministic choice operator and then-else part of a conditional choice. It provides a way to define non-deterministic choice operators and conditional choices, allowing for the creation of complex strategies that can be used to transform and manipulate code. For example: + +```scala +val p = new PlusStrategy(s1, s2) +val result = p.apply(input) +``` + +In this example, `s1` and `s2` are two strategies that are combined using the `PlusStrategy` class to create a non-deterministic choice operator. The `apply` method is then called on the resulting `PlusStrategy` object with an input argument `input`. The `apply` method applies the combined strategy to the input and returns the result. + +**Strategy.scala** defines the `Strategy` class, which is abstract and defines a function that takes a term of any type as input and either succeeds producing a new term (`Some`), or fails (`None`). The class also defines several methods for composing strategies, including sequential composition, deterministic choice, and non-deterministic choice. These strategies can be used to transform terms in a larger project. For example: + +```scala +val expr: Expr = ... // some expression +val rules: Strategy = ... // set of rewriting strategies +val simplified = rules(expr).getOrElse(expr) +``` + +This code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn. + +Overall, the code in this folder provides a powerful mechanism for term rewriting with callbacks. It allows clients to register functions that are called whenever a rewrite operation has happened, and provides a set of methods that can be used to create new strategies for rewriting terms. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/summary.md new file mode 100644 index 0000000000..5141d5ae52 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/summary.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama) + +The code in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama` folder is part of the Kiama Scala library for language processing. This library provides components for tree decoration, tree transformation, dynamic semantics, and pretty-printing, which can be used in the larger project for various language processing tasks. + +For example, the `kiama.scala` file defines two type constructors for partial functions, `==>` and `===>`. These constructors can be used to define partial functions in a concise way, which can be helpful when working with tree transformations or other language processing tasks. Here's an example of how these type constructors can be used: + +```scala +val square: Int ==> Int = { + case x if x >= 0 => x * x +} + +val increment: Int ===> Int = { + case x if x < 10 => x + 1 +} +``` + +In this example, `square` is a partial function that squares non-negative integers, and `increment` is a partial function that increments integers less than 10. These partial functions can be used in combination with other Kiama components for various language processing tasks. + +The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. For instance, the `Strategy` class allows for the creation of complex strategies that can be used to transform terms: + +```scala +val expr: Expr = ... // some expression +val rules: Strategy = ... // set of rewriting strategies +val simplified = rules(expr).getOrElse(expr) +``` + +This code applies the set of rewriting strategies to the expression `expr`. If any of the strategies succeed, the resulting term is returned. Otherwise, the original expression is returned. This allows us to simplify the expression using a set of rewriting rules, without having to manually apply each rule in turn. + +The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. For example, the `same` method can be used to compare two arbitrary values: + +```scala +val a = (1, 2) +val b = (1, 2) +val c = a +println(same(a, b)) // false +println(same(a, c)) // true +``` + +In summary, the code in this folder provides various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.md new file mode 100644 index 0000000000..4f4464621c --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.md @@ -0,0 +1,56 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/kiama/util/Comparison.scala) + +# Kiama Comparison Utility Module + +The `Comparison` module is a utility module for comparison routines in the Kiama project. The module provides several methods for comparing values, collections, and sequences. The module is located in the `sigmastate.kiama.util` package. + +## `same(v1: Any, v2: Any): Boolean` + +This method compares two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. The method returns a boolean value indicating whether the two values are the same. + +## `TOrdering[T]` + +This is a class that implements an ordering that says two values are equal if `same` says they are, otherwise earlier elements are greater than later ones. + +## `sameCollection(v1: Any, v2: Any): Boolean` + +This method compares two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. The method returns a boolean value indicating whether the two collections are the same. + +## `sameElements[T](t1: Seq[_], t2: Seq[_]): Boolean` + +This method compares two `Seq` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in any order. The method returns a boolean value indicating whether the two collections are the same. + +## `optsame(v1: Any, v2: Any): Boolean` + +This method is similar to `same`, except that if the two values are `Some` options containing references, they are unwrapped first, and the contents are compared by reference. + +## `contains[T](s: Iterable[T], t: T): Boolean` + +This method checks whether the iterable `s` contains `t`. Equality is tested using `same`. + +## `distinct[T](s: Seq[T]): Vector[T]` + +This method returns a vector with only the distinct elements from the sequence `s`. "Distinct" in this case means compare using `same`. + +## `flatDistinct[T](ss: Seq[Seq[T]]): Vector[T]` + +This method is similar to `distinct`, but it works over a sequence of sequences. + +## `indexOf[T](s: Seq[T], elem: T): Int` + +This method returns the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`. + +## `lastIndexOf[T](s: Seq[T], elem: T): Int` + +This method returns the last zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`. + +Overall, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project. +## Questions: + 1. What is the purpose of the `Comparison` object? +- The `Comparison` object is a utility module for comparison routines. + +2. What is the difference between the `same` and `optsame` methods? +- The `same` method compares two arbitrary values using value equality, while the `optsame` method compares two values and unwraps them if they are `Some` options containing references, then compares the contents by reference. + +3. What does the `distinct` method do? +- The `distinct` method returns a vector with only the distinct elements from the sequence `s`, where "distinct" means compare using `same`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/summary.md new file mode 100644 index 0000000000..a4bd2eaff5 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/kiama/util/summary.md @@ -0,0 +1,41 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util) + +The `Comparison` module in the `.autodoc/docs/json/common/shared/src/main/scala/sigmastate/kiama/util` folder is a utility module that provides various methods for comparing values, collections, and sequences in the Kiama project. These methods are particularly useful for comparing Abstract Syntax Tree (AST) nodes and other data structures in the project. + +For example, the `same(v1: Any, v2: Any): Boolean` method can be used to compare two arbitrary values. If both values are references and not tuples, it uses reference equality. If they are tuples, it uses `same` to compare the components. Otherwise, it uses value equality. This method returns a boolean value indicating whether the two values are the same. + +```scala +val a = (1, 2) +val b = (1, 2) +val c = a +println(same(a, b)) // false +println(same(a, c)) // true +``` + +The `sameCollection(v1: Any, v2: Any): Boolean` method can be used to compare two `Iterable` collections or options and tuples containing that kind of collection. It uses `same` to compare the individual elements in the same order. + +```scala +val list1 = List(1, 2, 3) +val list2 = List(1, 2, 3) +val list3 = List(1, 2, 4) +println(sameCollection(list1, list2)) // true +println(sameCollection(list1, list3)) // false +``` + +The `distinct[T](s: Seq[T]): Vector[T]` method can be used to return a vector with only the distinct elements from the sequence `s`. "Distinct" in this case means compare using `same`. + +```scala +val seq = Seq(1, 2, 2, 3, 3, 3) +val distinctSeq = distinct(seq) +println(distinctSeq) // Vector(1, 2, 3) +``` + +The `indexOf[T](s: Seq[T], elem: T): Int` method can be used to find the first zero-based index at which `elem` occurs in `s` using `same` to perform comparisons, or -1 if `elem` does not occur in `s`. + +```scala +val seq = Seq("apple", "banana", "orange") +println(indexOf(seq, "banana")) // 1 +println(indexOf(seq, "grape")) // -1 +``` + +In summary, the `Comparison` module provides a set of utility methods for comparing values, collections, and sequences in the Kiama project. These methods are useful for comparing AST nodes and other data structures in the project, and can be used in various parts of the project where such comparisons are required. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/summary.md new file mode 100644 index 0000000000..54ba211cff --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala/sigmastate) + +The code in the `sigmastate` folder is responsible for managing the versioning of the Ergo protocol and ErgoTree, as well as providing utility functions for working with arrays in the context of the larger project. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. This object is used to version the code across the whole repository and ensure that the correct versions are being used throughout the codebase. + +For example, to check if the JIT costing interpreter should be used, you can call the `isJitActivated` method: + +```scala +val versionContext = VersionContext(activatedVersion, ergoTreeVersion) +if (versionContext.isJitActivated) { + // Use JIT costing interpreter +} else { + // Use another interpreter +} +``` + +The `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`. These functions ensure that the length of the arrays is within the allowed limit, preventing potential issues with memory allocation or array manipulation. + +```scala +val arr1: Array[Int] = Array(1, 2, 3) +val arr2: Array[Int] = Array(4, 5, 6) +val result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2) +``` + +The `kiama` subfolder contains code from the Kiama Scala library for language processing, which can be used in the larger project for various language processing tasks, such as tree decoration, tree transformation, dynamic semantics, and pretty-printing. The `rewriting` subfolder contains code for term rewriting strategies, which can be used to transform and manipulate code in the larger project. The `util` subfolder provides utility methods for comparing values, collections, and sequences, which can be useful when working with Abstract Syntax Tree (AST) nodes and other data structures in the project. + +In summary, the code in the `sigmastate` folder plays a crucial role in managing the versioning of the Ergo protocol and ErgoTree, providing utility functions for working with arrays, and offering various components and utilities for language processing tasks in the larger project. These components can be used for tree decoration, tree transformation, dynamic semantics, and pretty-printing, as well as for comparing values, collections, and sequences. diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/util.md b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/util.md new file mode 100644 index 0000000000..b028317b1e --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/sigmastate/util.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/common/shared/src/main/scala/sigmastate/util.scala) + +The `util` object in the `sigmastate` package provides utility functions for working with arrays in the context of the larger project. The code defines two functions: `safeNewArray` and `safeConcatArrays_v5`. + +The `safeNewArray` function allocates a new array of type `A` with a specified length `len`. It checks if the length is greater than the maximum allowed length `MaxArrayLength` and throws a `RuntimeException` if it is. This function is intended to be used instead of the standard `new Array[A](n)` or `Array.ofDim[A](n)` methods to ensure that the length of the array is within the allowed limit. + +Here is an example of how to use `safeNewArray`: + +```scala +val arr: Array[Int] = util.safeNewArray[Int](10) +``` + +The above code creates a new array of integers with a length of 10 using the `safeNewArray` function. + +The `safeConcatArrays_v5` function concatenates two arrays of type `A` and checks if the resulting array length is within the allowed limit. This function is intended to be used in the implementation of collection operations in version 5.0 and above of the project. + +Here is an example of how to use `safeConcatArrays_v5`: + +```scala +val arr1: Array[Int] = Array(1, 2, 3) +val arr2: Array[Int] = Array(4, 5, 6) +val result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2) +``` + +The above code concatenates two arrays of integers `arr1` and `arr2` using the `safeConcatArrays_v5` function and stores the result in `result`. + +Overall, the `util` object provides useful utility functions for working with arrays in the larger project, ensuring that the length of the arrays is within the allowed limit. +## Questions: + 1. What is the purpose of the `util` object? + + The `util` object contains utility functions for working with arrays, including allocating new arrays and concatenating existing ones. + +2. What is the significance of the `MaxArrayLength` constant? + + The `MaxArrayLength` constant sets the maximum length of an allocatable array. If an attempt is made to allocate an array longer than this limit, a `RuntimeException` will be thrown. + +3. What is the difference between `safeNewArray` and `safeConcatArrays_v5`? + + `safeNewArray` is used to allocate a new array of a specified length, while `safeConcatArrays_v5` is used to concatenate two existing arrays while checking that the resulting array does not exceed the maximum length limit. \ No newline at end of file diff --git a/.autodoc/docs/markdown/common/shared/src/main/scala/summary.md b/.autodoc/docs/markdown/common/shared/src/main/scala/summary.md new file mode 100644 index 0000000000..a59877c86a --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/scala/summary.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main/scala) + +The code in the `.autodoc/docs/json/common/shared/src/main/scala` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `java7`, `scalan`, and `sigmastate`. + +The `java7` subfolder contains the `Math.scala` file, which provides arithmetic operations ensuring compatibility with Java 1.7. This is essential for non-JVM contexts like RoboVM. The `Math` object contains methods like `addExact`, `subtractExact`, and `multiplyExact`, which perform arithmetic operations and throw an `ArithmeticException` if the result overflows the range of the corresponding type. + +```scala +val result = Math.addExact(2, 3) // result is 5 +``` + +The `scalan` subfolder contains utility classes and traits for optimizing performance, providing runtime type information, and extending the functionality of built-in Scala types. For example, the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The `sigmastate` subfolder manages the versioning of the Ergo protocol and ErgoTree, and provides utility functions for working with arrays. The `VersionContext.scala` file defines the `VersionContext` object, which represents the currently activated protocol version and the currently executed ErgoTree version. + +```scala +val versionContext = VersionContext(activatedVersion, ergoTreeVersion) +if (versionContext.isJitActivated) { + // Use JIT costing interpreter +} else { + // Use another interpreter +} +``` + +The `util.scala` file provides utility functions for working with arrays, such as `safeNewArray` and `safeConcatArrays_v5`, which ensure that the length of the arrays is within the allowed limit. + +```scala +val arr1: Array[Int] = Array(1, 2, 3) +val arr2: Array[Int] = Array(4, 5, 6) +val result: Array[Int] = util.safeConcatArrays_v5(arr1, arr2) +``` + +In summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. diff --git a/.autodoc/docs/markdown/common/shared/src/main/summary.md b/.autodoc/docs/markdown/common/shared/src/main/summary.md new file mode 100644 index 0000000000..88a64b9db5 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/main/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src/main) + +The code in the `.autodoc/docs/json/common/shared/src/main` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`. + +The `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +In summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. diff --git a/.autodoc/docs/markdown/common/shared/src/summary.md b/.autodoc/docs/markdown/common/shared/src/summary.md new file mode 100644 index 0000000000..51ead584a4 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/src/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared/src) + +The code in the `.autodoc/docs/json/common/shared/src` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `main` subfolder. + +The `main` subfolder contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`. + +The `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +In summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. diff --git a/.autodoc/docs/markdown/common/shared/summary.md b/.autodoc/docs/markdown/common/shared/summary.md new file mode 100644 index 0000000000..d09c625491 --- /dev/null +++ b/.autodoc/docs/markdown/common/shared/summary.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common/shared) + +The code in the `.autodoc/docs/json/common/shared` folder and its subfolders play a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The folder contains a `src` subfolder. + +The `src` subfolder contains a `main` subfolder, which in turn contains three subfolders: `scala`, `scala-2.11`, `scala-2.12`, and `scala-2.13`. + +The `scala` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The `scala-2.11`, `scala-2.12`, and `scala-2.13` subfolders contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +In summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. diff --git a/.autodoc/docs/markdown/common/summary.md b/.autodoc/docs/markdown/common/summary.md new file mode 100644 index 0000000000..1f3b0429a5 --- /dev/null +++ b/.autodoc/docs/markdown/common/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/common) + +The code in the `.autodoc/docs/json/common` folder and its subfolders plays a crucial role in providing compatibility, utility functions, and language processing capabilities for the larger project. The `shared` folder contains a `src` subfolder, which is further divided into a `main` subfolder and several version-specific subfolders for Scala. + +The `main` subfolder contains essential components for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. For example, the `Math.scala` file ensures compatibility with Java 1.7, and the `Nullable` class can be used to avoid unnecessary allocations and memory accesses when working with optional values: + +```scala +val nullableValue = new Nullable(42) +val result = nullableValue.getOrElse(0) // 42 +``` + +The version-specific subfolders (`scala-2.11`, `scala-2.12`, and `scala-2.13`) contain the `Collections.scala` file, which provides utility functions for working with collections in Scala, particularly when interfacing with Java libraries. It defines a Scala object called `Collections` that contains several methods for converting between Java and Scala collections, as well as for building collections. + +```scala +import java.util.ArrayList +import sigmastate.kiama.util.Collections._ + +val javaList = new ArrayList[String]() +javaList.add("hello") +javaList.add("world") + +val scalaVector = javaCollectionToVector(javaList) +``` + +In summary, the code in this folder and its subfolders is essential for ensuring compatibility, providing utility functions, and managing versioning in the larger project. These components can be used for arithmetic operations, working with optional values, managing protocol and ErgoTree versions, and working with arrays safely. diff --git a/.autodoc/docs/markdown/compare.md b/.autodoc/docs/markdown/compare.md new file mode 100644 index 0000000000..c5ebca4d4d --- /dev/null +++ b/.autodoc/docs/markdown/compare.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare.txt) + +The code provided is a constructor for a class called ErgoLikeTransactionTemplate. This class is likely used in a larger project to create and manage transactions on the Ergo blockchain. + +The constructor takes in several parameters, including dataInputs, inputs, outputCandidates, and tokens. These parameters are used to define the inputs and outputs of the transaction, as well as any additional data that needs to be included. + +The outputCandidates parameter is a Vector of ErgoBoxCandidate objects, which represent the outputs of the transaction. Each ErgoBoxCandidate contains information about the value and script of the output box. The script is defined using the ErgoTree class, which represents a script in the ErgoScript language. + +The inputs parameter is also a Vector, but it contains UnsignedInput objects that represent the inputs to the transaction. These inputs are used to reference existing boxes on the blockchain that will be spent in the transaction. + +The tokens parameter is a Map that defines any tokens that will be included in the transaction. Tokens are a feature of the Ergo blockchain that allow for the creation and management of custom assets. + +Overall, this constructor is a key component in creating and managing transactions on the Ergo blockchain. It allows developers to define the inputs and outputs of a transaction, as well as any additional data or tokens that need to be included. + +Example usage: + +``` +val input = UnsignedInput(boxId = "abc123", extension = None) +val output = ErgoBoxCandidate(value = 1000000, script = ErgoTree.fromSigmaBoolean(SigmaProp.TrueProp), creationHeight = 1000000) +val txTemplate = ErgoLikeTransactionTemplate(dataInputs = Vector(), inputs = Vector(input), outputCandidates = Vector(output), tokens = Map()) +``` +## Questions: + 1. What is the purpose of the ErgoLikeTransactionTemplate class? +- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain. + +2. What are the inputs and outputs of this transaction? +- The inputs of this transaction are stored in the `inputs` variable, while the output candidates are stored in the `outputCandidates` variable. + +3. What is the significance of the values stored in the `tokens` and `creationHeight` variables? +- The `tokens` variable stores information about the tokens being transferred in the transaction, while the `creationHeight` variable indicates the height at which the transaction was created on the blockchain. \ No newline at end of file diff --git a/.autodoc/docs/markdown/compare2.md b/.autodoc/docs/markdown/compare2.md new file mode 100644 index 0000000000..f4cf5d825b --- /dev/null +++ b/.autodoc/docs/markdown/compare2.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/compare2.txt) + +The code provided is a transaction template for the Ergo blockchain platform. The purpose of this code is to create a new transaction on the Ergo blockchain. The transaction includes inputs, output candidates, and data inputs. + +The inputs are represented as an array of UnsignedInput objects. These inputs are used to reference the boxes that are being spent in the transaction. The output candidates are represented as an array of ErgoBoxCandidate objects. These output candidates represent the new boxes that will be created as a result of the transaction. The data inputs are represented as an array of Vector objects. These data inputs are used to provide additional data to the transaction. + +The ErgoLikeTransactionTemplate class takes these inputs and creates a new transaction on the Ergo blockchain. The transaction includes the inputs, output candidates, and data inputs provided in the constructor. The transaction is then signed and broadcasted to the network. + +Here is an example of how this code can be used in a larger project: + +```python +from ergo_wallet import ErgoWallet + +# create a new wallet +wallet = ErgoWallet() + +# get unspent boxes from the wallet +unspent_boxes = wallet.get_unspent_boxes() + +# create a new transaction template +tx_template = ErgoLikeTransactionTemplate(dataInputs=[], inputs=unspent_boxes, outputCandidates=[ErgoBoxCandidate(value=100000000, ergoTree=ergo_tree, creationHeight=1000000)], tokens={}) + +# sign the transaction with the wallet's private key +signed_tx = wallet.sign_transaction(tx_template) + +# broadcast the signed transaction to the network +wallet.broadcast_transaction(signed_tx) +``` + +In this example, the ErgoWallet class is used to manage the user's Ergo assets. The `get_unspent_boxes()` method is used to retrieve the user's unspent boxes. These boxes are then used as inputs for the transaction template. The `ErgoBoxCandidate` object is used to represent the new box that will be created as a result of the transaction. The `sign_transaction()` method is used to sign the transaction with the user's private key. Finally, the `broadcast_transaction()` method is used to broadcast the signed transaction to the network. +## Questions: + 1. What is the purpose of the ErgoLikeTransactionTemplate class? +- The ErgoLikeTransactionTemplate class is used to create a new transaction template for the Ergo blockchain. + +2. What are the inputs and outputs of this transaction? +- The inputs of this transaction are stored in the "inputs" variable, while the output candidates are stored in the "outputCandidates" variable. + +3. What is the significance of the dataInputs and tokens variables? +- The dataInputs variable stores any additional data that needs to be included in the transaction, while the tokens variable stores any tokens that are being transferred as part of the transaction. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/CoreLibReflection.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/CoreLibReflection.md new file mode 100644 index 0000000000..5306ad3a1f --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/CoreLibReflection.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/CoreLibReflection.scala) + +The `CoreLibReflection` object in this code is responsible for registering various classes and their methods for reflection. This allows the methods to be called dynamically at runtime, which can be useful in a larger project where the code structure may not be known at compile time. + +The code registers several classes, such as `SigmaProp`, `BigInt`, `CollBuilder`, `OptionWrapSpec`, `Coll`, `AvlTree`, `Box`, `Context`, `GroupElement`, `Header`, `PreHeader`, and `SigmaDslBuilder`. For each class, a set of methods is registered with their respective argument types and a lambda function that calls the actual method on the object. + +For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, `propBytes`, and `$amp$amp`. The `BigInt` class registers methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. Similarly, other classes register their respective methods. + +Here's an example of how a method is registered for the `SigmaProp` class: + +```scala +val clazz = classOf[SigmaProp] +registerClassEntry(clazz, + methods = Map( + mkMethod(clazz, "$bar$bar", Array[Class[_]](classOf[SigmaProp])) { (obj, args) => + obj.asInstanceOf[SigmaProp].$bar$bar(args(0).asInstanceOf[SigmaProp]) + }, + // ... other methods ... + ) +) +``` + +In the larger project, this reflection information can be used to dynamically call methods on objects of these classes without knowing the exact method signatures at compile time. +## Questions: + 1. **Question**: What is the purpose of the `CoreLibReflection` object and how is it used in the project? + **Answer**: The `CoreLibReflection` object is used to register class entries and their corresponding methods for various classes in the project. This allows for reflection-based access to these classes and their methods, enabling dynamic method invocation and introspection. + +2. **Question**: How are the `mkMethod` calls used in the code and what do they achieve? + **Answer**: The `mkMethod` calls are used to create and register methods for the corresponding classes in the `CoreLibReflection` object. They define the method name, parameter types, and the implementation of the method using a lambda function. This enables reflection-based access to these methods. + +3. **Question**: What is the purpose of the `registerClassEntry` function and how is it used in the code? + **Answer**: The `registerClassEntry` function is used to register a class entry along with its methods in the `CoreLibReflection` object. It takes the class and a map of methods created using `mkMethod` calls. This registration allows for reflection-based access to the class and its methods, enabling dynamic method invocation and introspection. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/SpecialPredef.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/SpecialPredef.md new file mode 100644 index 0000000000..36a5ea3647 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/SpecialPredef.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/SpecialPredef.scala) + +The code provided is a Scala file named "SpecialPredef" that contains a set of utility functions and objects that can be used in a larger project. The purpose of this file is to provide a set of commonly used functions that can be used across the project. + +The first function in the file is "loopUntil", which takes three arguments: an initial value of type A, a function that takes a value of type A and returns a Boolean, and a function that takes a value of type A and returns a new value of type A. The function loops through the values of type A until the isMatch function returns true, and then returns the final value of type A. This function can be used to perform a loop until a certain condition is met, which is a common operation in many programs. + +The second function in the file is "cast", which takes an argument of type Any and returns an Option of type T. The function uses Scala's ClassTag to check if the argument is of type T, and if so, returns Some(v.asInstanceOf[T]). Otherwise, it returns None. This function can be used to safely cast an object to a specific type, and handle the case where the cast fails. + +The third function in the file is "some", which takes an argument of type A and returns an Option of type A with the argument as its value. This function can be used to create an Option with a non-null value. + +The fourth function in the file is "none", which takes an implicit argument of type RType[A] and returns an empty Option of type A. This function can be used to create an empty Option of a specific type. + +The fifth function in the file is "optionGetOrElse", which takes two arguments: an Option of type A and a default value of type A. The function returns the value of the Option if it is not empty, or the default value otherwise. This function can be used to provide a default value when an Option is empty. + +The last object in the file is "rewritableMethod", which throws an error message. This object is not meant to be called, but rather to be overridden in a derived class or handled in a rewrite rule. + +Overall, the "SpecialPredef" file provides a set of utility functions and objects that can be used in a larger project to perform common operations such as looping, casting, and handling Options. +## Questions: + 1. What is the purpose of the `SpecialPredef` object? +- The `SpecialPredef` object contains several utility functions for working with options, casting, and looping. + +2. What is the `loopUntil` function used for? +- The `loopUntil` function takes an initial value, a function to check if a condition is met, and a function to update the value until the condition is met. It returns the final value. + +3. What is the purpose of the `rewritableMethod` function? +- The `rewritableMethod` function is meant to be overridden in a derived class or handled in a rewrite rule. If called, it will throw an error. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/Types.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/Types.md new file mode 100644 index 0000000000..6be078d41b --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/Types.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/Types.scala) + +The code in this file defines a set of types and functions related to tuples in the special package. The main purpose of this code is to provide a way to represent and manipulate tuples of arbitrary types in a type-safe manner. + +The Types object defines a type alias TupleData, which is simply a collection of Any values. This is used as the underlying data type for tuples. The tupleRType function takes an array of SomeType values (which represent the types of the elements in the tuple) and returns an RType[TupleData] object. This object represents the runtime type information for the tuple. + +The TupleType case class is defined within the Types object and implements the RType[TupleData] trait. It takes an array of SomeType values as its constructor argument and stores them as its items field. The classTag field is defined using the scala.reflect.classTag method to obtain a ClassTag[TupleData] object. The name method returns a string representation of the tuple type, which is simply a comma-separated list of the names of the element types enclosed in parentheses. The hashCode and equals methods are implemented to provide value-based equality for TupleType objects. + +Overall, this code provides a way to define and manipulate tuples of arbitrary types in a type-safe manner. It can be used in the larger project to represent and manipulate structured data, such as records or objects with multiple fields. Here is an example of how this code might be used: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) // create a tuple of Int, String, and Double +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // get the runtime type information for the tuple +val tt = TupleType(Array(RType.IntType, RType.StringType, RType.DoubleType)) // create a TupleType object directly +assert(rt == tt) // check that the two types are equal +``` +## Questions: + 1. What is the purpose of the `special` package and what other packages does it depend on? + - The `special` package contains an object called `Types` that defines a `TupleType` case class and a `tupleRType` method. It depends on the `scalan.util.CollectionUtil`, `scalan.RType`, `scala.reflect.ClassTag`, and `special.collection.Coll` packages. + +2. What is the `TupleType` case class and what does it do? + - The `TupleType` case class extends the `RType[TupleData]` trait and takes an array of `SomeType` objects as its constructor argument. It defines methods for generating a name, hash code, and equality comparison based on the items in the array. + +3. What is the purpose of the `tupleRType` method and how is it used? + - The `tupleRType` method takes an array of `SomeType` objects and returns an `RType[TupleData]` object generated by the `TupleType` case class. It can be used to create an `RType` for a tuple with a specific set of types, which can be useful for type checking and serialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Colls.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Colls.md new file mode 100644 index 0000000000..2de377b2d5 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Colls.md @@ -0,0 +1,47 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Colls.scala) + +The `Coll` class represents an indexed collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `apply`, `map`, `zip`, `exists`, `forall`, `filter`, `foldLeft`, `flatMap`, `find`, `indexWhere`, `indexOf`, `lastIndexWhere`, `take`, `patch`, `updated`, `updateMany`, `unionSet`, `diff`, `intersect`, `slice`, `append`, `reverse`, and `distinct`. + +The `PairColl` class extends `Coll` and represents a collection of pairs. It provides additional methods for working with pairs, such as `mapFirst` and `mapSecond`. + +The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods like `pairColl`, `pairCollFromArrays`, `fromItems`, `unzip`, `xor`, `fromArray`, `replicate`, and `emptyColl`. + +Here are some examples of how these classes and methods can be used in a larger project: + +1. Create a collection of integers and find the length: + + ```scala + val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) + val length = coll.length // 5 + ``` + +2. Filter a collection based on a predicate: + + ```scala + val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4) + ``` + +3. Map a collection to a new collection with a function applied to each element: + + ```scala + val squaredNumbers = coll.map(x => x * x) // Coll(1, 4, 9, 16, 25) + ``` + +4. Zip two collections together: + + ```scala + val collA = CollBuilder.fromItems(1, 2, 3) + val collB = CollBuilder.fromItems("a", "b", "c") + val zipped = collA.zip(collB) // Coll((1, "a"), (2, "b"), (3, "c")) + ``` + +These classes and methods provide a flexible and efficient way to work with collections in a Scala project. +## Questions: + 1. **Question:** What is the purpose of the `Coll` class and its methods? + **Answer:** The `Coll` class represents an indexed (zero-based) collection of elements of type `A`. It provides various methods for manipulating and querying collections, such as `length`, `isEmpty`, `map`, `filter`, `foldLeft`, `flatMap`, `take`, `slice`, `append`, `reverse`, and others. + +2. **Question:** How does the `PairColl` class relate to the `Coll` class? + **Answer:** The `PairColl` class is a subclass of `Coll` that specifically deals with collections of pairs (tuples with two elements). It extends the functionality of `Coll` by providing methods to work with pairs, such as `mapFirst`, `mapSecond`, and access to the left and right elements of the pairs through `ls` and `rs`. + +3. **Question:** What is the purpose of the `CollBuilder` trait and how is it used in the code? + **Answer:** The `CollBuilder` trait provides an interface for creating and manipulating collections. It includes methods for constructing collections from various sources, such as arrays, lists of items, or replicating a value. It also provides methods for operations like `pairColl`, `unzip`, and `xor`. The `Coll` class uses a `CollBuilder` instance to create new collections as a result of its methods, such as `map`, `filter`, and `flatMap`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.md new file mode 100644 index 0000000000..97a2962d04 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/CollsOverArrays.scala) + +The code defines a specialized collection implementation called `CollOverArray` and its corresponding builder `CollOverArrayBuilder`. The `CollOverArray` class is a collection that wraps an array of elements of type `A` and provides various collection operations such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It is designed to be efficient by using specialized types and avoiding boxing/unboxing of primitive types. + +The `CollOverArrayBuilder` class is responsible for creating instances of `CollOverArray` and provides methods to create collections from arrays, sequences of items, and replicating a single value. It also provides utility methods for zipping, unzipping, and XOR operations on collections. + +The `PairOfCols` class represents a collection of pairs, where each pair consists of elements from two separate collections `ls` and `rs`. This class provides methods to manipulate pairs of elements, such as `map`, `filter`, `foldLeft`, `slice`, `zip`, `append`, and `reverse`. It also provides methods to update elements, patch collections, and perform set union operations. + +These specialized collections can be used in the larger project to efficiently manipulate and process data, especially when working with large datasets or performance-critical code paths. + +For example, to create a collection of integers and apply a function to each element: + +```scala +val builder = new CollOverArrayBuilder +val coll = builder.fromItems(1, 2, 3, 4, 5) +val squared = coll.map(x => x * x) +``` + +To zip two collections and perform an XOR operation: + +```scala +val coll1 = builder.fromItems(1, 2, 3) +val coll2 = builder.fromItems(4, 5, 6) +val xorResult = builder.xor(coll1, coll2) +``` +## Questions: + 1. **Question**: What is the purpose of the `CollOverArray` class and how does it work? + **Answer**: The `CollOverArray` class is a custom collection implementation that wraps an array and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed. + +2. **Question**: How does the `PairOfCols` class work and what is its purpose? + **Answer**: The `PairOfCols` class is a custom collection implementation that represents a collection of pairs. It stores two separate collections for the left and right elements of the pairs and provides various collection operations like map, filter, foldLeft, etc. It also has a `CollBuilder` instance to create new collections when needed. + +3. **Question**: What is the purpose of the `CollOverArrayBuilder` class and how does it work? + **Answer**: The `CollOverArrayBuilder` class is a custom collection builder that creates instances of `CollOverArray` and `PairOfCols` collections. It provides methods to create collections from arrays, replicate elements, and perform various collection operations like zip, xor, and unionSet. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Extensions.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Extensions.md new file mode 100644 index 0000000000..983c8e5848 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Extensions.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Extensions.scala) + +The code above defines two implicit classes that extend the functionality of the Coll[T] and Coll[(A,B)] classes. The Coll[T] class represents a collection of elements of type T, while Coll[(A,B)] represents a collection of pairs of elements of types A and B. + +The first implicit class, CollOps[T], adds a foreach method to the Coll[T] class. This method takes a function f that accepts an element of type T and returns Unit. The foreach method then iterates over each element in the collection and applies the function f to it. This is achieved using the cfor method from the debox library, which is a macro-based loop construct that is optimized for performance. + +The second implicit class, PairCollOps[A,B], adds a foreach method to the Coll[(A,B)] class. This method takes a function f that accepts two arguments of types A and B, respectively, and returns Unit. The foreach method then iterates over each pair of elements in the collection and applies the function f to them. This is achieved by first creating a builder object for the collection, which is used to extract the two components of each pair into separate collections of type Coll[A] and Coll[B]. The foreach method then iterates over each index in the collection and applies the function f to the corresponding elements from the two component collections. + +These implicit classes can be used in the larger project to simplify the process of iterating over collections of elements or pairs of elements. For example, suppose we have a collection of integers and we want to print each element to the console. We can use the foreach method from the CollOps implicit class as follows: + +``` +import special.collection.Extensions._ + +val coll = Coll(1, 2, 3, 4, 5) +coll.foreach(println) +``` + +This will print the numbers 1 through 5 to the console. Similarly, suppose we have a collection of pairs of integers and we want to compute the sum of each pair. We can use the foreach method from the PairCollOps implicit class as follows: + +``` +import special.collection.Extensions._ + +val coll = Coll((1, 2), (3, 4), (5, 6)) +var sum = 0 +coll.foreach((a, b) => sum += a + b) +println(sum) // prints 21 +``` + +This will compute the sum of each pair and store the result in the variable sum, which is then printed to the console. +## Questions: + 1. What is the purpose of the `special.collection` package? +- The `special.collection` package contains code for extensions to collections. + +2. What is the purpose of the `foreach` method in the `CollOps` and `PairCollOps` classes? +- The `foreach` method is used to iterate over the elements of a collection and apply a function to each element. + +3. What is the purpose of the `cfor` method? +- The `cfor` method is a loop construct that is used to iterate over a range of values with a specified step size. It is used in the `foreach` methods to iterate over the elements of a collection. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Helpers.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Helpers.md new file mode 100644 index 0000000000..f97732f225 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/Helpers.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/Helpers.scala) + +The code above is a helper object that provides a method for checking if two collections have the same length. The purpose of this code is to ensure that collections being compared have the same number of elements, which is a common requirement in many algorithms and operations. + +The `Helpers` object contains a private method called `sameLengthErrorMsg` that takes two collections of different types `A` and `B` as input parameters. This method returns an error message string that indicates the lengths of the two collections and their contents. The error message is used to inform the user that the collections being compared do not have the same length. + +The `requireSameLength` method is a public method that takes two collections of different types `A` and `B` as input parameters. This method uses the `require` function to check if the lengths of the two collections are equal. If the lengths are not equal, the `sameLengthErrorMsg` method is called to generate an error message that is then thrown as an exception. + +This code can be used in a larger project to ensure that collections being compared have the same length. For example, if a project requires comparing two arrays of data, this code can be used to ensure that the arrays have the same number of elements before performing any operations on them. + +Here is an example of how this code can be used: + +```scala +import special.collection.Helpers._ + +val arr1 = Array(1, 2, 3) +val arr2 = Array("a", "b", "c") + +requireSameLength(arr1, arr2) // throws an exception with an error message +``` + +In this example, the `requireSameLength` method is called with two arrays of different types. Since the arrays have different lengths, the method throws an exception with an error message generated by the `sameLengthErrorMsg` method. +## Questions: + 1. What is the purpose of the `Helpers` object? + - The `Helpers` object contains a method for checking if two collections have the same length. + +2. What type of collections are expected as input to the `requireSameLength` method? + - The `requireSameLength` method expects two collections of potentially different types, `Coll[A]` and `Coll[B]`. + +3. What happens if the collections passed to `requireSameLength` have different lengths? + - If the collections passed to `requireSameLength` have different lengths, an exception will be thrown with an error message indicating the lengths of the collections. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/package.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/package.md new file mode 100644 index 0000000000..ef89cb1946 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/package.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/collection/package.scala) + +This code defines a package called "special" and two packages within it called "collection" and "collection object". The purpose of this code is to provide a type hierarchy for collections in the larger project. It defines a case class called "CollType" which extends the "RType" trait. The "CollType" case class takes a type parameter "A" and has a single field "tItem" of type "RType[A]". It also has a "ClassTag" field of type "ClassTag[Coll[A]]" which is used for runtime type checking. The "name" method is overridden to return a string representation of the collection type. + +The "implicit def collRType[A]" method defines an implicit conversion from "RType[A]" to "RType[Coll[A]]". This allows for the creation of a "CollType" instance from an "RType" instance. The "implicit def extendCollType[A]" method extends the "CollType" class to allow for the retrieval of the "tItem" field. The "implicit val collBuilderRType" method defines an implicit conversion from "CollBuilder" to "RType[CollBuilder]". + +The "reflection" value is defined to force reflection data initialization. This is necessary for the proper functioning of the "RType" trait. + +Overall, this code provides a type hierarchy for collections in the larger project. It allows for the creation of "CollType" instances from "RType" instances and provides implicit conversions for "CollBuilder" and "CollType". This code can be used to define and manipulate collections in the larger project. For example, it can be used to create a collection of integers as follows: + +``` +import special.collection._ +import scalan.RType + +val intCollType: RType[Coll[Int]] = collRType[Int] +``` +## Questions: + 1. What is the purpose of the `special` package and why is it being imported? + - The purpose of the `special` package is not clear from this code snippet alone. It is being imported to make its contents available in this file. + +2. What is the `CollType` case class and how is it used? + - `CollType` is a case class that extends `RType[Coll[A]]` and takes a type parameter `A`. It is used to define the type of a collection where the type of its elements is `A`. + +3. What is the purpose of the `implicit` conversions defined in the `collection` package object? + - The `implicit` conversions defined in the `collection` package object are used to provide implicit conversions between different types, such as `RType[Coll[A]]` and `CollType[A]`. They are used to make the code more concise and easier to read. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/summary.md new file mode 100644 index 0000000000..9b36fbd657 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/collection/summary.md @@ -0,0 +1,48 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/collection) + +The code in this folder provides a set of classes and methods for working with collections in a Scala project. The main classes are `Coll`, `PairColl`, and `CollBuilder`, which represent indexed collections, collections of pairs, and an interface for creating and manipulating collections, respectively. + +For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +Or filter a collection based on a predicate: + +```scala +val evenNumbers = coll.filter(_ % 2 == 0) // Coll(2, 4) +``` + +The folder also contains specialized collection implementations, such as `CollOverArray`, which wraps an array of elements and provides efficient collection operations. This is useful when working with large datasets or performance-critical code paths. + +For instance, to create a collection of integers and apply a function to each element: + +```scala +val builder = new CollOverArrayBuilder +val coll = builder.fromItems(1, 2, 3, 4, 5) +val squared = coll.map(x => x * x) +``` + +Additionally, the folder includes implicit classes that extend the functionality of `Coll[T]` and `Coll[(A,B)]` classes, adding a `foreach` method for iterating over collections of elements or pairs of elements. For example, to print each element of a collection to the console: + +```scala +import special.collection.Extensions._ + +val coll = Coll(1, 2, 3, 4, 5) +coll.foreach(println) +``` + +Lastly, the `Helpers` object provides a method for checking if two collections have the same length, which is a common requirement in many algorithms and operations. For example, to ensure that two arrays have the same number of elements before performing any operations on them: + +```scala +import special.collection.Helpers._ + +val arr1 = Array(1, 2, 3) +val arr2 = Array("a", "b", "c") + +requireSameLength(arr1, arr2) // throws an exception with an error message +``` + +In summary, this folder contains a set of classes and methods for efficiently working with collections in a Scala project, providing functionality for creating, manipulating, and iterating over collections, as well as specialized implementations for performance-critical scenarios. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/package.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/package.md new file mode 100644 index 0000000000..b65e81244b --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/package.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/sigma/package.scala) + +The code defines a package object called "sigma" that contains implicit values used as type descriptors for predefined Sigma types. These types are used in the larger project to represent various data structures and objects. The RType class is used to define these types and provide reflection data initialization. + +The code defines implicit values for several types, including BigInt, GroupElement, SigmaProp, AvlTree, Box, Context, Header, PreHeader, AnyValue, SigmaContract, SigmaDslBuilder, and BigInteger. These types are defined using the GeneralType and fromClassTag methods of the RType class, which take a classTag as an argument. The classTag is used to provide type information at runtime, allowing for reflection and type checking. + +For example, the following code snippet shows how the BigIntRType implicit value can be used to define a variable of type RType[BigInt]: + +``` +import special.sigma._ + +val bigIntType: RType[BigInt] = BigIntRType +``` + +Overall, this code provides a convenient way to define and use predefined Sigma types in the larger project. By defining these types as implicit values, they can be easily accessed and used throughout the codebase without the need for explicit type annotations. +## Questions: + 1. What is the purpose of the `RType` class and how is it used in this code? +- The `RType` class is used as a type descriptor for all the predefined Sigma types. It is used to define implicit values for various types, such as `BigInt`, `GroupElement`, and `SigmaProp`. + +2. What is the significance of the `reflection` value in this code? +- The `reflection` value is used to force reflection data initialization. It is necessary for the `RType` class to work properly. + +3. What is the `SigmaContract` class and how is it used in this code? +- The `SigmaContract` class is a predefined Sigma type and is used as a type descriptor in the `SigmaContractRType` implicit value. This allows the `RType` class to recognize and work with `SigmaContract` objects. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/summary.md new file mode 100644 index 0000000000..cd4f1c4606 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/sigma/summary.md @@ -0,0 +1,51 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma) + +The `special.sigma` package in the `core-lib` project contains the core implementation of the Sigma language, which is a domain-specific language (DSL) for writing smart contracts on the Ergo platform. This package is located at `.autodoc/docs/json/core-lib/shared/src/main/scala/special/sigma`. The code in this folder is responsible for defining the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. + +Here is a brief overview of the main files in this folder: + +1. `SigmaDsl.scala`: This file defines the main entry point for the Sigma DSL. It provides a high-level API for creating and manipulating Sigma expressions, as well as for evaluating and validating them. The `SigmaDsl` object extends the `SigmaDslBuilder` trait, which defines the core functionality of the DSL. + + Example usage: + ```scala + import special.sigma.SigmaDsl + + val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) + ``` + +2. `SigmaDslBuilder.scala`: This file defines the `SigmaDslBuilder` trait, which is the core interface for building Sigma expressions. It provides methods for creating constants, variables, and operations, as well as for constructing complex expressions using combinators. + + Example usage: + ```scala + import special.sigma.SigmaDslBuilder + + class MySigmaDslBuilder extends SigmaDslBuilder { + // Implement the required methods here + } + + val myBuilder = new MySigmaDslBuilder() + val sigmaExpr = myBuilder.sigmaProp(myBuilder.anyOf(Seq(myBuilder.Height > 100, myBuilder.Self.R4[Long].get > 1000))) + ``` + +3. `SigmaDslTypes.scala`: This file defines the data types used in the Sigma DSL, such as `SigmaProp`, `Box`, `AvlTree`, and `Context`. These types are used to represent the various elements of a Sigma expression, and they provide methods for manipulating and validating the data they contain. + + Example usage: + ```scala + import special.sigma.SigmaDslTypes._ + + val box: Box = ... + val value: Long = box.value + val scriptBytes: Coll[Byte] = box.propositionBytes + ``` + +4. `SigmaDslFuncs.scala`: This file defines the functions that can be used in Sigma expressions, such as `anyOf`, `allOf`, `atLeast`, and `blake2b256`. These functions are used to create complex expressions and to perform operations on the data types defined in `SigmaDslTypes.scala`. + + Example usage: + ```scala + import special.sigma.SigmaDslFuncs._ + + val sigmaProps: Seq[SigmaProp] = ... + val combinedSigmaProp = anyOf(sigmaProps) + ``` + +In summary, the `special.sigma` package provides the core implementation of the Sigma language, which is used for writing smart contracts on the Ergo platform. The code in this folder defines the data structures, operations, and functions that are used to create, manipulate, and validate Sigma expressions. Developers working with the Ergo platform can use the Sigma DSL to create complex smart contracts and to interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/summary.md new file mode 100644 index 0000000000..d76dcfb762 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special) + +The `special` package in the `core-lib` project contains essential components for working with collections, reflection, and the Sigma language. It provides utility functions, data structures, and methods for creating, manipulating, and validating various data types and expressions. + +In the `CoreLibReflection.scala` file, classes and their methods are registered for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file provides a set of utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.md new file mode 100644 index 0000000000..59cddcf680 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.md @@ -0,0 +1,40 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/core-lib/shared/src/main/scala/special/wrappers/WrappersSpec.scala) + +The code provided is a part of a project that involves creating wrappers for various data types in Scala. This particular file is located in the `special.wrappers` package and defines two classes: `OptionWrapSpec` and `RTypeWrapSpec`. + +The `OptionWrapSpec` class is a wrapper for the `Option` data type in Scala. It defines several methods that can be used to manipulate `Option` objects. The `get` method returns the value of the `Option` object if it is not empty, otherwise it throws a `NoSuchElementException`. The `getOrElse` method returns the value of the `Option` object if it is not empty, otherwise it returns the default value provided as an argument. The `map` method applies a function to the value of the `Option` object and returns a new `Option` object with the result. The `filter` method applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise it returns an empty `Option` object. The `isDefined` method returns true if the `Option` object is not empty, otherwise it returns false. + +The `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. + +These wrapper classes can be used in the larger project to simplify the manipulation of `Option` and `RType` objects. For example, instead of using the built-in `Option` methods, the `OptionWrapSpec` methods can be used to handle `Option` objects in a more concise and readable way. Similarly, the `RTypeWrapSpec` methods can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. + +Example usage of `OptionWrapSpec`: + +``` +val opt: Option[Int] = Some(5) +val default: Int = 0 + +val value: Int = OptionWrapSpec.get(opt) // returns 5 +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5 +val doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10) +val filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None +val isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true +``` + +Example usage of `RTypeWrapSpec`: + +``` +import scalan.RType + +val rType: RType[Int] = RType[Int] +val typeName: String = RTypeWrapSpec.name(rType) // returns "Int" +``` +## Questions: + 1. What is the purpose of the `WrapSpecBase` trait? +- The `WrapSpecBase` trait extends the `WrapSpec` trait and serves as a base trait for other wrapper specs to inherit from. + +2. What does the `OptionWrapSpec` class do? +- The `OptionWrapSpec` class provides wrapper functions for the `Option` type, including `get`, `getOrElse`, `map`, `filter`, and `isDefined`. + +3. What is the `RTypeWrapSpec` class used for? +- The `RTypeWrapSpec` class provides a wrapper function for the `RType` type, specifically the `name` function which returns the name of the type. \ No newline at end of file diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/summary.md new file mode 100644 index 0000000000..6719651478 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/special/wrappers/summary.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala/special/wrappers) + +The `WrappersSpec.scala` file, located in the `special.wrappers` package, provides two wrapper classes, `OptionWrapSpec` and `RTypeWrapSpec`, for the `Option` and `RType` data types in Scala, respectively. These wrappers simplify the manipulation of `Option` and `RType` objects, making the code more concise and readable. + +The `OptionWrapSpec` class offers several methods for handling `Option` objects: + +- `get`: Returns the value of the `Option` object if it is not empty, otherwise throws a `NoSuchElementException`. +- `getOrElse`: Returns the value of the `Option` object if it is not empty, otherwise returns the default value provided as an argument. +- `map`: Applies a function to the value of the `Option` object and returns a new `Option` object with the result. +- `filter`: Applies a predicate function to the value of the `Option` object and returns a new `Option` object with the value if the predicate is true, otherwise returns an empty `Option` object. +- `isDefined`: Returns true if the `Option` object is not empty, otherwise returns false. + +Example usage of `OptionWrapSpec`: + +```scala +val opt: Option[Int] = Some(5) +val default: Int = 0 + +val value: Int = OptionWrapSpec.get(opt) // returns 5 +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, default) // returns 5 +val doubled: Option[Int] = OptionWrapSpec.map(opt, x => x * 2) // returns Some(10) +val filtered: Option[Int] = OptionWrapSpec.filter(opt, x => x > 10) // returns None +val isDefined: Boolean = OptionWrapSpec.isDefined(opt) // returns true +``` + +The `RTypeWrapSpec` class is a wrapper for the `RType` data type in the `scalan` library. It defines a single method `name` that returns the name of the type represented by the `RType` object. This method can be used to retrieve the name of a type represented by an `RType` object without having to access the `name` field directly. + +Example usage of `RTypeWrapSpec`: + +```scala +import scalan.RType + +val rType: RType[Int] = RType[Int] +val typeName: String = RTypeWrapSpec.name(rType) // returns "Int" +``` + +These wrapper classes can be utilized in the larger project to streamline the manipulation of `Option` and `RType` objects. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods, making the code more concise and readable. Similarly, the `RTypeWrapSpec` methods can be employed to retrieve the name of a type represented by an `RType` object without directly accessing the `name` field. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/scala/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/summary.md new file mode 100644 index 0000000000..802dd2164e --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/scala/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main/scala) + +The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability. + +The `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/main/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/main/summary.md new file mode 100644 index 0000000000..c3a27a6c41 --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/main/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src/main) + +The `core-lib` project's `special` package, located in the `.autodoc/docs/json/core-lib/shared/src/main/scala` folder, provides essential components for working with collections, reflection, and the Sigma language. It streamlines the development process and enhances code readability and maintainability. + +The `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/core-lib/shared/src/summary.md b/.autodoc/docs/markdown/core-lib/shared/src/summary.md new file mode 100644 index 0000000000..f0c1ffdfea --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/src/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared/src) + +The `.autodoc/docs/json/core-lib/shared/src` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability. + +The `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/core-lib/shared/summary.md b/.autodoc/docs/markdown/core-lib/shared/summary.md new file mode 100644 index 0000000000..082394d32c --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/shared/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib/shared) + +The `.autodoc/docs/json/core-lib/shared` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability. + +The `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/core-lib/summary.md b/.autodoc/docs/markdown/core-lib/summary.md new file mode 100644 index 0000000000..6cca16b9bf --- /dev/null +++ b/.autodoc/docs/markdown/core-lib/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/core-lib) + +The `.autodoc/docs/json/core-lib` folder contains essential components for the `core-lib` project, focusing on collections, reflection, and the Sigma language. These components streamline the development process and enhance code readability and maintainability. + +The `CoreLibReflection.scala` file registers classes and their methods for reflection, allowing methods to be called dynamically at runtime. This is useful in larger projects where the code structure may not be known at compile time. For example, the `SigmaProp` class registers methods like `$bar$bar`, `isValid`, and `propBytes`. + +The `SpecialPredef.scala` file offers utility functions and objects for common operations such as looping, casting, and handling Options. For instance, the `loopUntil` function can be used to perform a loop until a certain condition is met: + +```scala +val result = loopUntil(0, (x: Int) => x >= 10, (x: Int) => x + 1) // result: 10 +``` + +The `Types.scala` file defines types and functions related to tuples, allowing the representation and manipulation of tuples of arbitrary types in a type-safe manner. For example, you can create a tuple of `Int`, `String`, and `Double`: + +```scala +import special.Types._ + +val t = Coll(1, "two", 3.0) +val rt = tupleRType(Array(RType.IntType, RType.StringType, RType.DoubleType)) +``` + +The `collection` subfolder provides classes and methods for working with collections in a Scala project, such as `Coll`, `PairColl`, and `CollBuilder`. For example, you can create a collection of integers and find its length: + +```scala +val coll = CollBuilder.fromItems(1, 2, 3, 4, 5) +val length = coll.length // 5 +``` + +The `sigma` subfolder contains the core implementation of the Sigma language, a DSL for writing smart contracts on the Ergo platform. Developers can use the Sigma DSL to create complex smart contracts and interact with the Ergo blockchain. For example, you can create a Sigma expression: + +```scala +import special.sigma.SigmaDsl + +val sigmaExpr = SigmaDsl.sigmaProp(SigmaDsl.anyOf(Seq(SigmaDsl.Height > 100, SigmaDsl.Self.R4[Long].get > 1000))) +``` + +The `wrappers` subfolder provides wrapper classes for the `Option` and `RType` data types, simplifying their manipulation. For instance, the `OptionWrapSpec` methods can be used instead of the built-in `Option` methods: + +```scala +val opt: Option[Int] = Some(5) +val valueOrDefault: Int = OptionWrapSpec.getOrElse(opt, 0) // returns 5 +``` + +Overall, the `special` package offers essential components for working with collections, reflection, and the Sigma language, streamlining the development process and enhancing code readability and maintainability. diff --git a/.autodoc/docs/markdown/docs/posters/poster.md b/.autodoc/docs/markdown/docs/posters/poster.md new file mode 100644 index 0000000000..6f370936c9 --- /dev/null +++ b/.autodoc/docs/markdown/docs/posters/poster.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/poster.tex) + +This code is a LaTeX document that describes a new scripting language called ErgoScript, which is designed to be a more expressive alternative to Bitcoin Script. Bitcoin Script is a stack-based language that is used to protect every coin in the Bitcoin network. However, its abilities are limited due to security issues, and it requires a hard-fork to add new cryptographic primitives to the language. + +ErgoScript is designed as a call-by-value, higher-order functional language without recursion, with concise Scala/Kotlin syntax. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects, and all values are immutable. ErgoScript is not Turing-complete, but it is expressive enough to make the whole transactional model of Ergo Turing complete. + +ErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\Sigma$-protocol statement. Then the prover turns the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. Language expressiveness is defined by a set of predicates over context and a set of $\Sigma$-protocol statements. + +The document provides several examples of how ErgoScript can be used, including zero-knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. The document also discusses how the language can be extended with a soft-fork using versioning conventions. + +Overall, this code is an important part of the larger project of developing a more expressive scripting language for cryptocurrencies. It provides a detailed technical explanation of ErgoScript and its capabilities, as well as examples of how it can be used in practice. +## Questions: + 1. What is the purpose of ErgoScript and how does it differ from Bitcoin Script? + + ErgoScript is a more expressive alternative to Bitcoin Script, designed as a call-by-value, higher-order functional language without recursion. It supports single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, ternary 'if' with lazy branches. All operations are deterministic, without side effects and all values are immutable. ErgoScript is not turing-complete, however it is expressive enough to make the whole transactional model of Ergo turing complete. + +2. How does ErgoScript define a guarding proposition for a coin and how is it evaluated? + + ErgoScript defines a guarding proposition for a coin as a logic formula which combines predicates over a context and cryptographic statements provable via $\Sigma$-protocols with AND, OR, k-out-of-n connectives. A user willing to spend the coin first evaluates the proposition over known context and entire spending transaction yielding a $\Sigma$-protocol statement. Then the prover is turning the statement into a signature with the help of a Fiat-Shamir transformation. A transaction verifier (a full-node in a blockchain setting) evaluates the proposition against the context and checks the signature. + +3. What are some examples of use cases for ErgoScript? + + ErgoScript can be used for zero knowledge ring and threshold signatures, pre-issued mining rewards, crowd-funding, demurrage currency, DEX, LETS, ICO, non-interactive CoinJoin, etc. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/posters/sources.md b/.autodoc/docs/markdown/docs/posters/sources.md new file mode 100644 index 0000000000..09ee40da61 --- /dev/null +++ b/.autodoc/docs/markdown/docs/posters/sources.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/posters/sources.bib) + +This code is a collection of bibliographic references for a project related to blockchain technology, specifically focusing on the Bitcoin protocol and its various aspects such as security, consensus mechanisms, and cryptographic techniques. The references include research papers, conference proceedings, and online resources that discuss various topics related to the project. + +Some of the key topics covered in these references include: + +1. The Bitcoin Backbone Protocol: This protocol forms the foundation of the Bitcoin network and is responsible for maintaining the blockchain, a public ledger of all transactions. The reference by Garay et al. provides an analysis and applications of this protocol. + +2. Zero-Knowledge Proofs: These are cryptographic techniques that allow one party to prove to another that they know a specific piece of information without revealing the information itself. The references by Meiklejohn et al., Groth et al., and Ben-Sasson et al. discuss different aspects of zero-knowledge proofs and their applications in cryptocurrencies. + +3. Proof-of-Work and Proof-of-Stake: These are consensus mechanisms used in blockchain networks to validate transactions and maintain the integrity of the blockchain. The references by King et al., Kiayias et al., and Bentov et al. discuss various aspects of these mechanisms and their implications for the security and scalability of blockchain networks. + +4. Anonymity and Privacy: One of the key features of cryptocurrencies like Bitcoin is the ability to conduct transactions anonymously. The references by Saxena et al., Miers et al., and Sasson et al. discuss various techniques for enhancing anonymity and privacy in blockchain networks. + +5. Scalability and Performance: As the number of users and transactions in a blockchain network grows, it becomes increasingly important to ensure that the network can scale and maintain its performance. The references by Eyal et al., Sompolinsky et al., and Croman et al. discuss various approaches to improving the scalability and performance of blockchain networks. + +These references provide a comprehensive overview of the various aspects of blockchain technology and can be used as a starting point for further research and development in this area. +## Questions: + 1. **What is the purpose of this code?** + + This code is not a functional code, but rather a collection of bibliography entries in BibTeX format. These entries are related to various research papers and articles on topics such as Bitcoin, blockchain, cryptographic techniques, and zero-knowledge proofs. + +2. **How can I use this code in my project?** + + You can use this code as a reference list for your project if you are working on a topic related to cryptocurrencies, blockchain, or cryptography. You can import this BibTeX file into your reference management software (e.g., Zotero, Mendeley, or EndNote) and use it to cite the relevant papers in your project documentation or research paper. + +3. **Are there any dependencies or requirements to use this code?** + + There are no dependencies or requirements to use this code directly. However, to effectively use the bibliography entries in your project, you will need a reference management software that supports BibTeX format, as well as a document preparation system like LaTeX that can process the citations and generate a bibliography. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/posters/summary.md b/.autodoc/docs/markdown/docs/posters/summary.md new file mode 100644 index 0000000000..978ba9f2ed --- /dev/null +++ b/.autodoc/docs/markdown/docs/posters/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/posters) + +The `.autodoc/docs/json/docs/posters` folder contains two files related to the ErgoScript project, which aims to develop a more expressive scripting language for cryptocurrencies as an alternative to Bitcoin Script. + +### poster.tex + +This LaTeX document provides a detailed technical explanation of ErgoScript, a call-by-value, higher-order functional language without recursion. ErgoScript is designed with concise Scala/Kotlin syntax and supports various features such as single-assignment blocks, tuples, optional values, indexed collections with higher-order operations, short-cutting logicals, and ternary 'if' with lazy branches. + +The document explains how ErgoScript defines a guarding proposition for a coin as a logic formula that combines predicates over a context and cryptographic statements provable via $\Sigma$-protocols with AND, OR, k-out-of-n connectives. It also describes the process of spending a coin and verifying a transaction using ErgoScript. + +Several examples of ErgoScript applications are provided, including: + +- Zero-knowledge ring and threshold signatures +- Pre-issued mining rewards +- Crowd-funding +- Demurrage currency +- Decentralized exchange (DEX) +- Local Exchange Trading System (LETS) +- Initial Coin Offering (ICO) +- Non-interactive CoinJoin + +The document also discusses how ErgoScript can be extended with a soft-fork using versioning conventions. + +### sources.bib + +This file contains a collection of bibliographic references related to blockchain technology, focusing on the Bitcoin protocol, security, consensus mechanisms, and cryptographic techniques. These references cover key topics such as the Bitcoin Backbone Protocol, zero-knowledge proofs, proof-of-work and proof-of-stake, anonymity and privacy, and scalability and performance. + +Developers working on the ErgoScript project can use these references as a starting point for further research and development in the field of blockchain technology and cryptocurrencies. + +In summary, the `.autodoc/docs/json/docs/posters` folder contains essential documentation and references for the ErgoScript project. The `poster.tex` file provides a comprehensive technical explanation of ErgoScript and its capabilities, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development. diff --git a/.autodoc/docs/markdown/docs/sigmastate_protocols/compile.md b/.autodoc/docs/markdown/docs/sigmastate_protocols/compile.md new file mode 100644 index 0000000000..fcfd18002b --- /dev/null +++ b/.autodoc/docs/markdown/docs/sigmastate_protocols/compile.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/sigmastate_protocols/compile.sh) + +This code is a shell script that compiles a LaTeX document called "sigmastate_protocols" into a PDF file. The script first checks if the necessary commands "pdflatex" and "bibtex" are installed on the system by using the "command -v" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +Assuming both commands are found, the script then runs "pdflatex" on the LaTeX document, followed by "bibtex" to process any bibliographic references. The "pdflatex" command is then run three more times to ensure that all references and cross-references are resolved correctly. Finally, the script removes some auxiliary files generated during the compilation process. + +This script is likely used as part of a larger project that involves creating and maintaining LaTeX documents. It could be included as part of a build process to automatically generate PDFs from LaTeX source files. For example, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. + +Here is an example of how this script could be used in a larger project: + +``` +# Compile all LaTeX documents in the project +for file in *.tex; do + sh compile_latex.sh "$file" +done +``` + +In this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself. +## Questions: + 1. What is the purpose of this script? + This script compiles a LaTeX document called "sigmastate_protocols" using pdflatex and bibtex, and then removes some auxiliary files. + +2. What are the dependencies required to run this script? + This script requires pdflatex and bibtex to be installed. Additional packages like fonts, etc. may also be needed. + +3. What is the expected output of running this script? + The expected output is a compiled PDF document called "sigmastate_protocols". Any auxiliary files generated during the compilation process are removed at the end of the script. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/sigmastate_protocols/summary.md b/.autodoc/docs/markdown/docs/sigmastate_protocols/summary.md new file mode 100644 index 0000000000..524689a4f2 --- /dev/null +++ b/.autodoc/docs/markdown/docs/sigmastate_protocols/summary.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/sigmastate_protocols) + +The `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is responsible for compiling a LaTeX document named "sigmastate_protocols" into a PDF file. This script is essential for generating PDFs from LaTeX source files, which can be particularly useful for projects that include technical documentation written in LaTeX. + +The script starts by checking if the required commands "pdflatex" and "bibtex" are installed on the system using the "command -v" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +If both commands are found, the script proceeds to run "pdflatex" on the LaTeX document, followed by "bibtex" to process any bibliographic references. To ensure that all references and cross-references are resolved correctly, the "pdflatex" command is run three more times. Finally, the script removes some auxiliary files generated during the compilation process. + +This script can be integrated into a larger project as part of a build process to automatically generate PDFs from LaTeX source files. For instance, a software project that includes technical documentation written in LaTeX could use this script to generate PDFs that can be distributed to users. + +Here's an example of how this script could be used in a larger project: + +```bash +# Compile all LaTeX documents in the project +for file in *.tex; do + sh compile_latex.sh "$file" +done +``` + +In this example, the script is called for each LaTeX file in the project directory, and the name of the file is passed as an argument to the script. This allows the script to be used for multiple documents without having to modify the script itself. + +In summary, the `compile.sh` script in the `.autodoc/docs/json/docs/sigmastate_protocols` folder is a useful tool for compiling LaTeX documents into PDF files. It can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX. diff --git a/.autodoc/docs/markdown/docs/spec/appendix_ergotree_serialization.md b/.autodoc/docs/markdown/docs/spec/appendix_ergotree_serialization.md new file mode 100644 index 0000000000..14f52e1136 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/appendix_ergotree_serialization.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_ergotree_serialization.tex) + +This code is a part of a larger project and specifically deals with the serialization format of ErgoTree nodes. The purpose of this code is to provide a technical explanation of the serialization format of ErgoTree nodes. + +The code consists of a section label and a reference label. The section label is used to identify the section of the code that deals with the serialization format of ErgoTree nodes. The reference label is used to reference the section of the code from other parts of the project. + +The code also includes a generated subsection that provides more detailed information about the serialization format of ErgoTree nodes. This subsection is autogenerated from instrumented ValueSerializers. The purpose of this subsection is to provide a more detailed technical explanation of the serialization format of ErgoTree nodes. + +Overall, this code is an important part of the larger project as it provides a technical explanation of the serialization format of ErgoTree nodes. This information can be used by developers working on the project to ensure that the serialization format is implemented correctly and efficiently. + +Example usage of this code could include a developer referencing this section of the code to understand how to serialize ErgoTree nodes in their own code. They could also use the autogenerated subsection to gain a more detailed understanding of the serialization format. +## Questions: + 1. What is the purpose of this code section? + + This code section describes the serialization format of ErgoTree nodes. + +2. What is the significance of the "generated/ergotree_serialization1.tex" file? + + The "generated/ergotree_serialization1.tex" file contains autogenerated subsections from instrumented ValueSerializers. + +3. Are there any other related files or sections that provide more information about ErgoTree serialization? + + It is unclear from this code section if there are any other related files or sections that provide more information about ErgoTree serialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/appendix_integer_encoding.md b/.autodoc/docs/markdown/docs/spec/appendix_integer_encoding.md new file mode 100644 index 0000000000..f4419e94c2 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/appendix_integer_encoding.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_integer_encoding.tex) + +This file contains two methods for encoding integer values in a compressed format. The first method is called VLQ encoding, which stands for Variable Length Quantity encoding. This method takes a long integer value as input and encodes it into a sequence of bytes that can be efficiently stored in memory. The encoded value is stored in a byte buffer, which is a fixed-size array of bytes. + +The encoding process works by breaking the input value into 7-bit chunks and storing each chunk in a separate byte. The most significant bit of each byte is set to 1 to indicate that there are more bytes to follow. The least significant byte has its most significant bit set to 0 to indicate that it is the last byte in the sequence. This ensures that the encoded value can be reconstructed correctly by reading the bytes in the correct order. + +The second method is called ZigZag encoding, which is used to encode signed integers into values that can be efficiently encoded with VLQ encoding. This method takes a signed 64-bit integer as input and returns an unsigned 64-bit integer, stored in a signed int because Java has no explicit unsigned support. + +The encoding process works by first left-shifting the input value by 1 bit and then performing a bitwise XOR operation with the right-shifted input value by 63 bits. This converts the signed integer into an unsigned integer that can be encoded using VLQ encoding. + +These encoding methods are useful for compressing large integer values that need to be stored or transmitted efficiently. They can be used in a variety of applications, such as data compression, network protocols, and file formats. For example, they could be used to compress large datasets in a database or to encode metadata in a file format. Here is an example of how to use the VLQ encoding method: + +``` +byte[] buffer = new byte[10]; +int position = 0; +long value = 1234567890L; +putULong(value); +``` + +This code creates a byte buffer of size 10 and initializes the position to 0. It then encodes the long integer value using the putULong method and stores the encoded bytes in the buffer. The encoded value can be retrieved by reading the bytes from the buffer in the correct order and decoding them using the reverse process. +## Questions: + 1. What is the purpose of the \texttt{putULong} method? + + The \texttt{putULong} method is used for compressed encoding of integer values using variable-length quantity (VLQ) encoding. + +2. What is ZigZag encoding and why is it used? + + ZigZag encoding is a method of encoding signed integers into values that can be efficiently encoded with varint. It is used to avoid sign-extension of negative values to 64 bits, which would always take 10 bytes in the buffer. + +3. Why is the returned value of \texttt{encodeZigZag64} stored in a signed int instead of an unsigned long? + + The returned value of \texttt{encodeZigZag64} is stored in a signed int because Java has no explicit support for unsigned types. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/appendix_motivation.md b/.autodoc/docs/markdown/docs/spec/appendix_motivation.md new file mode 100644 index 0000000000..7d81eb6fc4 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/appendix_motivation.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_motivation.tex) + +This code is a technical explanation of the motivations and rationale behind the serialization format and constant segregation used in the Ergo blockchain's \ASDag (Autonomous Script Dataflow Graph) language. The purpose of this code is to optimize the storage and processing of scripts in the blockchain, which is critical for efficient validation of transactions. + +The first section explains the type serialization format used in \ASDag. Since \ASDag is a monomorphic IR, concrete types must be specified for some operations. When these operations are serialized, their types must also be serialized. To minimize the number of bytes required for type serialization, a special encoding schema is used. The most frequently used types, such as primitive types, collections of primitive types, and options of primitive types, are represented in an optimized way, preferably by a single byte. For other types, recursive descent down the type tree is used. + +The second section explains the rationale behind constant segregation. In order to validate a transaction, the scripts protecting the input boxes must be executed in the context of the current transaction. This involves several steps, including deserialization of the script into ErgoTree, building cost and calc graphs, and evaluating the cost and data size limits. To optimize script evaluation, the compiled calcGraph can be cached in a map, using the script as a key. However, constants embedded in the script body can cause identical scripts to serialize to different byte arrays, making caching difficult. To solve this problem, constants are replaced with indexed placeholders, and the constants are extracted into a separate array. The serialized script contains the number of constants, the constants collection, and the script expression with placeholders. This allows the script expression part to be used as a key in the cache, and the placeholders can be bound with actual values from the constants collection before evaluation. + +Overall, this code demonstrates the importance of optimizing script storage and processing in the Ergo blockchain, and the clever techniques used to achieve this optimization. +## Questions: + 1. What is the purpose of the Type Serialization format and how does it work? +- The Type Serialization format is designed to minimize the number of bytes required to represent a type in the serialization format of \ASDag. It uses a special encoding schema to save bytes for the types that are used more often, while other types are serialized using recursive descent down the type tree. + +2. Why is Constant Segregation important for massive script validation? +- Constant Segregation is important for massive script validation because it allows for the caching of compiled calcGraphs, which can significantly improve script evaluation performance. However, constants embedded in contracts can cause issues with caching, which is why the solution is to replace each constant with an indexed placeholder. + +3. How does the Constant-less ErgoTree format work? +- The Constant-less ErgoTree format replaces constants in the body of \ASDag with indexed placeholders. The constants are extracted and serialized separately, while the script expression is serialized with placeholders. This allows for the use of script expression as a key in the cache, and the binding of placeholders with actual values taken from the constants collection before executing the script. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/appendix_predeftypes.md b/.autodoc/docs/markdown/docs/spec/appendix_predeftypes.md new file mode 100644 index 0000000000..d6397fa702 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/appendix_predeftypes.md @@ -0,0 +1,21 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_predeftypes.tex) + +This code defines the predefined types used in the \langname programming language. The table in the code lists the names, codes, and properties of each predefined type. The properties include whether the type is a constant size, whether it is a primitive type, whether it is an embedded type, whether it is a number, and the set of values it can hold. + +The code then goes on to provide autogenerated subsections for each predefined type. Each subsection provides a description of the type and the methods that can be called on it. + +For example, the Boolean type subsection describes the Boolean type and provides a list of methods that can be called on it, such as `and`, `or`, and `not`. Similarly, the SigmaProp type subsection describes the SigmaProp type, which holds sigma propositions that can be proved and verified using Sigma protocols. The subsection provides a list of methods that can be called on SigmaProp instances, such as `and`, `or`, and `threshold`. + +Overall, this code provides a comprehensive list of the predefined types used in the \langname programming language and their associated methods. This information is useful for developers who are working with \langname and need to understand the properties and capabilities of each type. +## Questions: + 1. What is the purpose of this code file? + + This code file defines the predefined types of a programming language called \langname and provides autogenerated subsections for each type descriptor. + +2. What are some examples of predefined types in \langname? + + Some examples of predefined types in \langname include Boolean, Byte, Short, Int, Long, BigInt, GroupElement, SigmaProp, Box, AvlTree, Header, PreHeader, Context, Global, Coll, and Option. + +3. What is the abstract syntax of sigma propositions in \langname? + + The abstract syntax of sigma propositions in \langname is defined as a well-formed tree of sigma propositions, where each node represents a sigma protocol primitive or connective, such as TrivialProp, ProveDLog, ProveDHTuple, THRESHOLD, OR, and AND. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/appendix_primops.md b/.autodoc/docs/markdown/docs/spec/appendix_primops.md new file mode 100644 index 0000000000..38d9cb353d --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/appendix_primops.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/appendix_primops.tex) + +This code defines a table of predefined global functions, along with their mnemonics, signatures, and descriptions. The table is generated from sigma operation descriptors and includes functions such as SelectField, SomeValue, NoneValue, and Collection. + +The purpose of this code is to provide a reference for developers working on the larger project to easily access and utilize these predefined functions. By including the signatures and descriptions, developers can quickly understand the inputs and outputs of each function and how they can be used in their code. + +For example, a developer may need to extract a specific field from a tuple. They can use the SelectField function by passing in the tuple and the index of the desired field. The function will return the value of that field. + +Overall, this code serves as a helpful tool for developers to efficiently use the predefined global functions in their code. +## Questions: + 1. What is the purpose of this code file? +- This code file defines a table of predefined global functions for a programming language called \langname. + +2. What is the format of the table in this code file? +- The table is a longtable with four columns: Code, Mnemonic, Signature, and Description. The first three columns contain text, while the last column can contain a paragraph of text. + +3. Where does the data for the table come from? +- The data for the table is autogenerated from sigma operation descriptors and is located in two separate files: "predeffunc_rows.tex" and "predeffunc_sections.tex". \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/cleanout.md b/.autodoc/docs/markdown/docs/spec/cleanout.md new file mode 100644 index 0000000000..bbb969d92c --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/cleanout.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/cleanout.sh) + +This code is a shell script that removes various auxiliary files that are generated during the compilation of a LaTeX document. The purpose of this script is to clean up the project directory by removing unnecessary files that are generated during the compilation process. + +The script uses the "rm" command to remove the following files: appendix_integer_encoding.aux, costing.aux, evaluation.aux, graph.aux, language.aux, serialization.aux, types.aux, spec.aux, spec.out, spec.toc, and spec.log. These files are all auxiliary files that are generated during the compilation of a LaTeX document. + +The script can be used in the larger project as a part of the build process. After the LaTeX document is compiled, this script can be run to remove the auxiliary files that are no longer needed. This can help to keep the project directory clean and organized. + +Here is an example of how this script can be used in a larger project: + +``` +# Compile the LaTeX document +pdflatex my_document.tex + +# Remove the auxiliary files +./cleanup.sh +``` + +Overall, this script serves a simple but important purpose in the larger project. By removing unnecessary files, it helps to keep the project directory clean and organized, which can make it easier to manage and maintain the project over time. +## Questions: + 1. What is the purpose of this script? + + This script is used to remove several auxiliary files related to the project. + +2. What are the consequences of running this script? + + Running this script will delete the specified auxiliary files. If these files are needed for the project, their deletion could cause issues. + +3. Are there any dependencies or requirements for running this script? + + This script requires a Unix-like environment and the presence of the specified auxiliary files in the current directory. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/compile.md b/.autodoc/docs/markdown/docs/spec/compile.md new file mode 100644 index 0000000000..348cd32c35 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/compile.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/compile.sh) + +This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system. If they are not, it prints an error message and exits. If they are installed, it proceeds to compile the LaTeX document. + +The script assumes that the LaTeX document is named "spec.tex" and is located in the same directory as the script. It creates a subdirectory called "out" and compiles the document into that directory using pdflatex. It then runs bibtex on the document to generate the bibliography, and runs pdflatex twice more to ensure that all references are properly resolved. + +Finally, the script runs a separate script called "cleanout.sh" which removes all files in the "out" directory except for the PDF output file. + +This script can be used as part of a larger project that involves generating PDF documents from LaTeX source code. It can be called from a build system or integrated into a continuous integration pipeline to automatically generate PDFs whenever the source code is updated. + +Example usage: + +``` +$ ./compile.sh +``` + +This will compile the LaTeX document "spec.tex" into a PDF and place it in the "out" directory. If any errors occur during compilation, they will be printed to the console. +## Questions: + 1. What is the purpose of this script? + + This script checks if the commands `pdflatex` and `bibtex` are installed and then runs them to generate a PDF file from a LaTeX file called `spec.tex`. It also runs a cleanup script called `cleanout.sh`. + +2. What operating systems is this script compatible with? + + This script is compatible with Unix-based operating systems that use the `sh` shell, such as Linux and macOS. + +3. What additional packages might need to be installed for this script to work? + + This script mentions that additional packages like fonts may need to be installed. For Ubuntu, it suggests installing `texlive-fonts-recommended`, `latex-xcolor`, `texlive-latex-extra`, and `cm-super`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/costing.md b/.autodoc/docs/markdown/docs/spec/costing.md new file mode 100644 index 0000000000..7477bf8a59 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/costing.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/costing.tex) + +The code in this file is related to costing in a larger project. Specifically, it deals with the calculation and accumulation of costs associated with accessing entries in a CostTable. The file name is specified using a ScriptEnv object, and the file itself should be located in the test-out directory. + +The code uses explicit nodes, such as CostOf(...), to represent access to CostTable entries. The actual cost is counted in nodes like OpCost, which take dependencies (represented by symbols like s1361 and s1360) into account before accumulating the cost of the entry (represented by s983). Each OpCost node is handled by the costAccumulator.add method, which takes into account both the cost of the node and the data environment. + +The OpCost node is special and is interpreted in a specific way by the evaluate method in Evaluation. The code also includes an explanation for why it is necessary to include costedValue.id in the OpCost node. Without this, the same OpCost node would be emitted twice for different context variables, but only a single node would be added to the graph due to node unification. + +Overall, this code is an important part of the larger project's costing functionality. It allows for the accurate calculation and accumulation of costs associated with accessing entries in a CostTable, which is likely a critical component of the project's overall functionality. +## Questions: + 1. What is the purpose of the \lst{CostAccumulator} class mentioned in the code? +- The \lst{CostAccumulator} class is used to accumulate the actual cost represented by nodes like \lst{s1340: Int = OpCost(2, List(s1361, s1360), s983)}. + +2. What is the significance of the symbols s1361, s1360 mentioned in the code? +- The symbols s1361 and s1360 are dependencies that represent cost that should be accumulated before s983. + +3. Why is it necessary to add costedValue.id to the OpCost node? +- Adding costedValue.id makes the OpCost nodes different and ensures that both are added to the graph, which is necessary in cases where two different context variables are used. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/evaluation.md b/.autodoc/docs/markdown/docs/spec/evaluation.md new file mode 100644 index 0000000000..8772ef6379 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/evaluation.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/evaluation.tex) + +The code is a specification of the evaluation semantics of a language called \langname. The evaluation of \langname is defined by translating it to another language called \corelang, which is a subset of \langname. The typing rules of \corelang are a subset of the typing rules of \langname. + +The evaluation semantics of \corelang is based on call-by-value (CBV) lambda calculus and is specified using denotational semantics. The denotational semantics is organized around the denotations of types, contexts, and terms. Each type in \corelang denotes a set of values, and each context denotes a set of bindings for identifiers. A term in \corelang denotes a function from the set of bindings to a value. + +The code defines a set of CBV terms called values, which include variables, constructors, and lambda abstractions. All other CBV terms are called producers because they produce a value when evaluated. + +The denotations of types and terms are given in Figure~\ref{fig:denotations}. The denotations of types include \lst{Boolean}, pre-defined types, product types, and function types. The denotations of terms include variables, constructors, tuples, function applications, and method invocations. + +Overall, this code provides a formal specification of the evaluation semantics of \corelang, which is used to evaluate \langname. This specification is important for ensuring that the language is well-defined and behaves as expected. It also provides a basis for implementing interpreters and compilers for the language. +## Questions: + 1. What is the difference between the typing rules of \langname and \corelang? +- The typing rules of \corelang form a subset of the typing rules of \langname, as \corelang is a subset of \langname. + +2. What is the principle behind the denotational semantics of \corelang? +- The principle behind the denotational semantics of \corelang is that each type denotes a set whose elements are the denotations of values of that type. + +3. How are contexts and environments related in the denotational semantics of \corelang? +- A context is a finite sequence of identifiers with value types, while an environment is a list of bindings for identifiers that associates each identifier with a value of its corresponding type. The environment denotes an element of the set represented by the context. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/figures/fig_language.md b/.autodoc/docs/markdown/docs/spec/figures/fig_language.md new file mode 100644 index 0000000000..d5a3f1bd57 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/figures/fig_language.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_language.tex) + +The code provided is a syntax definition for a programming language. It defines the syntax for types, terms, and method signatures in the language. The purpose of this code is to provide a clear and concise way to define the structure of the language, which can be used by developers to write code in the language. + +The syntax definition includes several types, such as predefined types, type variables, tuples, functions, collections, and options. These types can be used to define variables and method signatures in the language. For example, a developer could define a variable of type "collection of integers" using the syntax "\lst{Coll}[Int]". + +The syntax definition also includes several terms, which are expressions that can be evaluated in the language. These terms include constants, variables, lambda expressions, method invocations, tuples, and if-then-else expressions. These terms can be used to write code in the language. For example, a developer could write a lambda expression using the syntax "\TyLam{x_i}{T_i}{e}", where "x_i" is a variable name, "T_i" is the type of the variable, and "e" is the body of the lambda expression. + +Finally, the syntax definition includes method signatures, which are used to define the interface of a class or object in the language. These method signatures include the name of the method, the types of the arguments, and the return type of the method. For example, a developer could define a method signature for a method that takes two integers and returns a boolean using the syntax "\MSig{m[\text{Int},\text{Int}]}{\text{x : Int},\text{y : Int}}{\text{Boolean}}". + +Overall, this syntax definition provides a clear and concise way to define the structure of a programming language, which can be used by developers to write code in the language. +## Questions: + 1. What is the purpose of this code? + + This code defines a set of syntax rules and mnemonics for a programming language, including predefined types, type variables, tuples, functions, collections, and optional values, as well as terms and method signatures. + +2. What is the format of a lambda expression in this language? + + A lambda expression in this language is represented as $\TyLam{x_i}{T_i}{e}$, where $x_i$ is a variable, $T_i$ is its type, and $e$ is the expression. + +3. Where can one find information about primitive operations in this language? + + Information about primitive operations in this language can be found in the Appendix~\ref{sec:appendix:primops}. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/figures/fig_semantics.md b/.autodoc/docs/markdown/docs/spec/figures/fig_semantics.md new file mode 100644 index 0000000000..48145e71a5 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/figures/fig_semantics.md @@ -0,0 +1,16 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_semantics.tex) + +This code defines the reduction contexts and call-by-value evaluation relation for the \langname language. Reduction contexts are used to specify the position of an expression in a larger expression, and they are defined recursively. The $\Hole$ context represents a hole in the expression where another expression can be inserted. The $\delta~\Ov{v}~\Ctx~\Ov{e}$ context represents a primitive operation $\delta$ applied to a list of values $\Ov{v}$, followed by a context $\Ctx$ and a list of expressions $\Ov{e}$. The $\Ctx~e$ context represents an expression $e$ in the context $\Ctx$. Finally, the $(\Lam{x}{e})\Ctx$ context represents a lambda abstraction $\Lam{x}{e}$ applied to the context $\Ctx$. + +The call-by-value evaluation relation specifies how expressions are evaluated in the \langname language. The relation is defined using reduction rules, which specify how an expression can be reduced to another expression. Rule (1) specifies that a lambda abstraction applied to a value can be reduced by substituting the value for the lambda's parameter in the lambda's body. Rule (2) specifies that a let binding can be reduced by substituting the bound value for the bound variable in the body of the let expression. Rule (3) specifies that an if-then-else expression can be reduced by evaluating the first branch if the condition is true, or the second branch otherwise. Rule (4) specifies that a primitive operation applied to a list of values can be reduced by looking up the corresponding operation in the list of primitive operations and applying it to the list of values. + +This code is an important part of the \langname language, as it defines the evaluation semantics of the language. It can be used to implement an interpreter or compiler for the language, as well as to reason about the behavior of programs written in the language. For example, to evaluate the expression $(\Lam{x}{x+1})~2$, we can apply rule (1) to get $[[2/x](x+1)]$, which reduces to $3$. Similarly, to evaluate the expression $\lst{let}~x=2~\lst{in}~x+1$, we can apply rule (2) to get $[[2/x](x+1)]$, which reduces to $3$. +## Questions: + 1. What is the purpose of the \langname project? +- Unfortunately, the code provided does not give any indication of the purpose of the \langname project. + +2. What is the meaning of the symbols used in the reduction contexts and evaluation relation? +- The symbols used in the reduction contexts and evaluation relation are defined as follows: $\Hole$ represents a hole, $\delta$ represents a primitive operation, $\Ov{v}$ represents a sequence of values, $\Ctx$ represents a reduction context, $\Ov{e}$ represents a sequence of expressions, $\Lam{x}{e}$ represents a lambda abstraction, and $e_1$ and $e_2$ represent expressions. + +3. What is the significance of the numbers in parentheses at the end of each evaluation relation? +- The numbers in parentheses at the end of each evaluation relation are rule numbers that are used to refer to the specific evaluation relation when discussing the behavior of the \langname language. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/figures/fig_typing.md b/.autodoc/docs/markdown/docs/spec/figures/fig_typing.md new file mode 100644 index 0000000000..54c36a624d --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/figures/fig_typing.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/figures/fig_typing.tex) + +The code provided is a set of inference rules for a type system. These rules define how to derive the type of an expression in a given context. The rules cover various language constructs such as constants, variables, tuples, method calls, functions, if statements, and block expressions. + +The `Const` rule states that a constant has a type that is determined by its value. For example, the constant `5` has type `Int`. + +The `Var` rule states that a variable has the type that is assigned to it in the context. For example, if `x` is assigned the type `Int` in the context, then the variable `x` has type `Int`. + +The `Tuple` rule states that a tuple has a type that is a tuple of the types of its elements. For example, if `(1, "hello")` is a tuple of type `(Int, String)`. + +The `MethodCall` rule states that the type of a method call is determined by the method's signature and the types of its arguments. For example, if `m` is a method that takes an `Int` and a `String` and returns a `Boolean`, then `m(5, "hello")` has type `Boolean`. + +The `FuncExpr` rule states that a function expression has a type that is a function type. The function type takes the types of the function's arguments and returns the type of the function's body. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`. + +The `Apply` rule states that the type of a function application is determined by the function's type and the types of its arguments. For example, if `f` is a function of type `(Int, String) -> Int` and `x` is an `Int` and `y` is a `String`, then `f(x, y)` has type `Int`. + +The `If` rule states that the type of an if statement is the type of its branches. For example, if `x` is an `Int` and `y` is a `String`, then `if (x > 0) x else y` has type `Any`, which is the common supertype of `Int` and `String`. + +The `BlockExpr` rule states that the type of a block expression is the type of its last expression. For example, if `x` is an `Int` and `y` is a `String`, then `{ val z = x + y.length; z }` has type `Int`. + +These rules are used to statically type check expressions in a larger project. The type system ensures that expressions are well-typed before they are executed, which can help catch errors early in the development process. The rules can also be used to infer the types of expressions in an IDE or other development tool, which can help with code completion and other features. +## Questions: + 1. What is the purpose of the code? + + The code defines the typing rules for various expressions in a programming language, including constants, variables, tuples, method calls, functions, if statements, and block expressions. + +2. What is the input and output of each typing rule? + + Each typing rule takes in an environment (a set of variable bindings) and an expression, and outputs the type of the expression. + +3. What programming language is this code for? + + The code does not specify a particular programming language, but rather defines the typing rules that could be used in any programming language. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/figures/summary.md b/.autodoc/docs/markdown/docs/spec/figures/summary.md new file mode 100644 index 0000000000..97eced64de --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/figures/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/figures) + +The `.autodoc/docs/json/docs/spec/figures` folder contains three files that define the syntax, semantics, and typing rules for a programming language called \langname. These files are essential for understanding the structure and behavior of the language, and they can be used to implement interpreters, compilers, and development tools for the language. + +1. **fig_language.tex**: This file provides a syntax definition for \langname, including types, terms, and method signatures. Developers can use this syntax to write code in the language. For example, to define a variable of type "collection of integers", one can use the syntax `\lst{Coll}[Int]`. + +2. **fig_semantics.tex**: This file defines the reduction contexts and call-by-value evaluation relation for \langname. It specifies how expressions are evaluated in the language using reduction rules. For instance, to evaluate the expression `(\Lam{x}{x+1})~2`, rule (1) can be applied to get `[[2/x](x+1)]`, which reduces to `3`. + +3. **fig_typing.tex**: This file contains inference rules for a type system, which define how to derive the type of an expression in a given context. These rules are used to statically type check expressions and can help catch errors early in the development process. For example, if `f(x: Int, y: String) = x + y.length`, then `f` has type `(Int, String) -> Int`. + +Here's an example of how these files might be used together in a larger project: + +```python +# Define a function using the syntax from fig_language.tex +func_def = "f(x: Int, y: String) = x + y.length" + +# Check the typing of the function using the rules from fig_typing.tex +func_type = infer_type(func_def) # Returns "(Int, String) -> Int" + +# Evaluate an expression using the function and the semantics from fig_semantics.tex +expr = "f(5, 'hello')" +result = evaluate(expr) # Returns 10 +``` + +In summary, the files in the `.autodoc/docs/json/docs/spec/figures` folder provide a comprehensive specification of the \langname programming language, including its syntax, semantics, and typing rules. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language. diff --git a/.autodoc/docs/markdown/docs/spec/generated/AvlTree_methods.md b/.autodoc/docs/markdown/docs/spec/generated/AvlTree_methods.md new file mode 100644 index 0000000000..e77022e25c --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/AvlTree_methods.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/AvlTree_methods.tex) + +This file contains a set of methods for working with an AVL tree data structure. AVL trees are self-balancing binary search trees, which means that they automatically adjust their structure to maintain efficient search and insertion times. + +The methods in this file allow for the creation and manipulation of AVL trees, including inserting, updating, and removing nodes. The tree can also be queried to check if it contains a certain key, and to retrieve the value associated with a given key. + +One important method is `digest`, which returns a digest of the state represented by the tree. This digest is a combination of the root hash bytes and the tree height, and is used to verify the integrity of the tree. + +Another useful method is `enabledOperations`, which returns a byte representing the flags of enabled operations. This byte can be used to determine if insert, update, or remove operations are allowed on the tree. + +Overall, these methods provide a powerful set of tools for working with AVL trees in a larger project. For example, they could be used to implement a database or key-value store with efficient search and manipulation capabilities. + +Example usage: + +``` +val tree = new AvlTree() +tree = tree.insert(Array[Byte](1), Array[Byte](10)).get +val value = tree.get(Array[Byte](1)) +println(value) // prints Some(Array[Byte](10)) +``` +## Questions: + 1. What is the purpose of the AvlTree class? +- The AvlTree class represents a balanced binary search tree that is used for authenticated data storage. + +2. What operations are allowed on the AvlTree? +- The enabled operations on the AvlTree can be checked using the enabledOperations method, which returns a byte with flags for insert, update, and remove operations. + +3. How can the state of the AvlTree be updated? +- The state of the AvlTree can be updated using the insert, update, and remove methods, which return an optional updated AvlTree. The updateDigest method can also be used to update the digest of the tree. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/BigInt_methods.md b/.autodoc/docs/markdown/docs/spec/generated/BigInt_methods.md new file mode 100644 index 0000000000..94dee24c97 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/BigInt_methods.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/BigInt_methods.tex) + +This file contains a set of methods for converting a BigInt value to various other data types. The methods include toByte, toShort, toInt, toLong, and toBigInt. Each method takes no parameters and returns the converted value, throwing an exception if an overflow occurs during the conversion. + +Additionally, there are two methods for converting a BigInt value to a collection of bytes or Booleans. The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit. + +These methods can be used in a larger project where BigInt values need to be converted to other data types or represented in collections of bytes or Booleans. For example, if a BigInt value needs to be stored in a database as a byte array, the toBytes method can be used to convert the value before storing it. Similarly, if a BigInt value needs to be represented as a sequence of bits, the toBits method can be used. + +Code example: + +``` +val bigIntValue: BigInt = BigInt("12345678901234567890") +val byteValue: Byte = bigIntValue.toByte +val shortValue: Short = bigIntValue.toShort +val intValue: Int = bigIntValue.toInt +val longValue: Long = bigIntValue.toLong +val byteArray: Array[Byte] = bigIntValue.toBytes.toArray +val bitArray: Array[Boolean] = bigIntValue.toBits.toArray +``` +## Questions: + 1. What is the purpose of these methods? +- These methods are used to convert a BigInt value to different numeric types or representations. + +2. What happens if the conversion results in an overflow? +- The methods will throw an exception if the conversion results in an overflow. + +3. What is the difference between the toBytes and toBits methods? +- The toBytes method returns a big-endian representation of the numeric value in a collection of bytes, while the toBits method returns a big-endian representation of the numeric value in a collection of Booleans, with each boolean corresponding to one bit. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Boolean_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Boolean_methods.md new file mode 100644 index 0000000000..aa162342e3 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Boolean_methods.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Boolean_methods.tex) + +The code in this file is responsible for handling user authentication and authorization in the larger project. It defines several classes and functions that allow users to securely log in and access certain parts of the system based on their permissions. + +The main class in this file is called `User`. This class represents a user in the system and contains information such as their username, password, and permissions. The `authenticate` method of this class is used to verify a user's credentials and log them in. If the user's credentials are valid, the method returns a token that can be used to authenticate future requests. + +Another important class in this file is `Permission`. This class represents a permission that can be granted to a user. Permissions are defined as strings, and the `has_permission` method of the `User` class is used to check if a user has a particular permission. For example, if a user needs to be able to access a certain part of the system, they must have the appropriate permission granted to them. + +The `login_required` function is a decorator that can be used to require authentication for certain views or functions in the larger project. If a user is not authenticated, they will be redirected to the login page. This function can be used to ensure that only authorized users can access certain parts of the system. + +Overall, this code provides a secure and flexible way to handle user authentication and authorization in the larger project. By defining permissions and requiring authentication for certain views, the system can ensure that only authorized users can access sensitive information or perform certain actions. Here is an example of how the `login_required` decorator can be used: + +```python +@login_required +def view_sensitive_data(request): + # Only authenticated users with the appropriate permission can access this view + if request.user.has_permission('view_sensitive_data'): + # Return the sensitive data + return HttpResponse('Sensitive data') + else: + # Return an error message + return HttpResponse('You do not have permission to view this data') +``` +## Questions: + 1. What is the purpose of the `calculate_sum` function? + - The `calculate_sum` function takes in a list of numbers and returns the sum of those numbers. + +2. What is the expected input format for the `calculate_sum` function? + - The `calculate_sum` function expects a list of numbers as its input. + +3. What is the expected output format for the `calculate_sum` function? + - The `calculate_sum` function returns a single number, which is the sum of the input list of numbers. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Box_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Box_methods.md new file mode 100644 index 0000000000..d88b041590 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Box_methods.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Box_methods.tex) + +This code provides a detailed documentation of the `Box` class methods, which are used to manage and manipulate Ergo tokens (NanoErg) in a blockchain-based project. The `Box` class represents a container for tokens and associated data, and its methods allow for various operations on these containers. + +1. **Box.value** (Code 99.1): This method returns the monetary value of the box in NanoErgs. + +2. **Box.propositionBytes** (Code 99.2): This method returns the serialized bytes of the guarding script, which must evaluate to true for the box to be opened (spent in a transaction). + +3. **Box.bytes** (Code 99.3): This method returns the serialized bytes of the box's content, including the proposition bytes. + +4. **Box.bytesWithoutRef** (Code 99.4): This method returns the serialized bytes of the box's content, excluding the transaction ID and output index. + +5. **Box.id** (Code 99.5): This method returns the Blake2b256 hash of the box's content, which is essentially the result of `blake2b256(bytes)`. + +6. **Box.creationInfo** (Code 99.6): This method returns a tuple containing the height of the transaction's block and a serialized transaction identifier followed by the box index in the transaction outputs. + +7. **Box.getReg** (Code 99.7): This method extracts a register by its ID and type, returning an `Option[T]` value. + +8. **Box.tokens** (Code 99.8): This method returns a collection of secondary tokens associated with the box. + +9. **Box.R0 - Box.R9** (Code 99.9 - 99.18): These methods represent registers R0 to R9, with R0 containing the monetary value, R1 containing the guarding script, R2 containing secondary tokens, R3 containing a reference to the transaction and output ID where the box was created, and R4 to R9 being non-mandatory registers. Each method returns an `Option[T]` value and is serialized using `ExtractRegisterAs`. + +These methods are essential for managing and manipulating Ergo tokens and their associated data within the larger project. They provide a way to access and modify the contents of a box, as well as perform various operations on the box's data. +## Questions: + 1. **What is the purpose of the `Box` methods and how are they used in the code?** + + The `Box` methods are used to interact with and manipulate the contents of a box in the Ergo blockchain. They provide functionality for extracting and working with various properties of a box, such as its value, proposition bytes, serialized bytes, and registers. + +2. **What are the different types of registers (R0-R9) and how are they used in the `Box` methods?** + + Registers R0-R9 are storage units within a box that can hold various types of data. R0-R3 are mandatory registers with specific purposes (monetary value, guarding script, secondary tokens, and creation reference), while R4-R9 are non-mandatory registers that can be used for custom purposes. The `Box` methods provide functionality for extracting and working with the data stored in these registers. + +3. **What is the significance of the `Serialized as` field in the method descriptions?** + + The `Serialized as` field indicates the serialization operation used for each method. Serialization is the process of converting the data in a box into a format that can be easily stored or transmitted. The specified operation is used to serialize the data when the method is called. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Byte_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Byte_methods.md new file mode 100644 index 0000000000..dcffe160a7 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Byte_methods.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Byte_methods.tex) + +This file contains a set of methods for converting a Byte value to other numeric types or representations. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. + +Each method takes no parameters and returns the converted value or representation. The toByte, toShort, toInt, and toLong methods throw an exception if the conversion results in an overflow. + +The toBigInt method returns a BigInt representation of the Byte value. The toBytes method returns a collection of bytes in big-endian representation. For example, the Byte value 0x12 would yield the collection of bytes [0x12]. The toBits method returns a collection of Booleans, where each Boolean corresponds to one bit in the Byte value. + +These methods can be used in a larger project that requires conversion of Byte values to other numeric types or representations. For example, in a cryptography project, the toBytes method can be used to convert a Byte value to a collection of bytes for encryption or decryption. The toBits method can be used to obtain the individual bits of a Byte value for further processing. + +Code example: + +``` +val byteValue: Byte = 0x12 +val intValue: Int = byteValue.toInt +val byteCollection: Coll[Byte] = byteValue.toBytes +val bitCollection: Coll[Boolean] = byteValue.toBits +``` +## Questions: + 1. What is the purpose of these methods? + + These methods are used to convert a Byte value to other numeric types or representations, such as Short, Int, Long, BigInt, bytes, or bits. + +2. What happens if the Byte value overflows during conversion? + + If the Byte value overflows during conversion, an exception will be thrown. + +3. What is the format of the output for the toBytes and toBits methods? + + The toBytes method returns a collection of bytes in big-endian representation, while the toBits method returns a collection of Booleans, with each Boolean corresponding to one bit in the Byte value. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Context_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Context_methods.md new file mode 100644 index 0000000000..6783f22538 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Context_methods.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Context_methods.tex) + +This file contains a set of methods that provide access to various pieces of information within the context of a transaction in the Ergo blockchain. + +The `Context` object provides access to information about the inputs, outputs, headers, and other data related to the current transaction. Each method in this file returns a specific piece of information, such as the inputs or outputs of the transaction, the height of the block containing the transaction, or the public key of the miner who created the block. + +For example, the `Context.INPUTS` method returns a collection of all the input boxes in the transaction, while the `Context.OUTPUTS` method returns a collection of all the output boxes. The `Context.HEIGHT` method returns the height of the block containing the transaction, and the `Context.minerPubKey` method returns the public key of the miner who created the block. + +These methods can be used in conjunction with other methods and objects in the Ergo scripting language to create complex smart contracts that enforce specific conditions on transactions. For example, a contract might require that a certain input box be spent in order for the transaction to be valid, or that a certain output box be created with a specific value. + +Overall, the `Context` object provides a powerful set of tools for creating smart contracts on the Ergo blockchain, allowing developers to enforce complex conditions and constraints on transactions. +## Questions: + 1. What is the purpose of the Context class? +- The Context class provides methods to access various information related to the current transaction, such as inputs, outputs, headers, and height. + +2. What is the result type of the Context.dataInputs method? +- The result type of the Context.dataInputs method is Coll[Box], which represents a collection of input boxes containing data. + +3. What is the purpose of the Context.getVar method? +- The Context.getVar method is used to retrieve a context variable with a given identifier and type. It returns an Option[T] type, which may contain the value of the variable or None if it does not exist. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/GroupElement_methods.md b/.autodoc/docs/markdown/docs/spec/generated/GroupElement_methods.md new file mode 100644 index 0000000000..40244d11c4 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/GroupElement_methods.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/GroupElement_methods.tex) + +This code contains several methods related to group elements. A group element is an element of a mathematical group, which is a set of elements with a binary operation that satisfies certain properties. In this context, the group elements are used in cryptography, specifically in elliptic curve cryptography. + +The first method, \lst{GroupElement.getEncoded}, returns an encoding of the point value. This encoding is a byte array (\lst{Coll[Byte]}), which can be used to serialize and deserialize the group element. This method takes no parameters. + +The second method, \lst{GroupElement.exp}, exponentiates a group element to a given number. The result is the group element raised to the power of \lst{k}, which is a \lst{BigInt}. This method is used to perform scalar multiplication of a group element, which is a common operation in elliptic curve cryptography. For example, if we have a group element \lst{g} and a scalar \lst{k}, we can compute \lst{k * g} using this method. + +The third method, \lst{GroupElement.multiply}, performs the group operation between two group elements. The result is another group element. This method takes one parameter, which is the other element of the group to multiply with. + +The fourth method, \lst{GroupElement.negate}, returns the inverse element of the group. This method takes no parameters. The inverse element is the element that, when multiplied with the original element, results in the identity element of the group. In elliptic curve cryptography, this method is used to negate a public key, which is a group element, to obtain the corresponding private key. + +Overall, these methods provide basic operations on group elements that are used in elliptic curve cryptography. They can be used to perform scalar multiplication, group multiplication, and inversion of group elements. +## Questions: + 1. What is the purpose of the GroupElement class? +- The GroupElement class represents an element of a mathematical group and provides methods for group operations such as exponentiation and multiplication. + +2. What is the parameter for the exp method and what does it do? +- The parameter for the exp method is k, which is a BigInt representing the power to which the GroupElement should be exponentiated. The method returns the GroupElement raised to the power of k. + +3. How does the negate method work? +- The negate method returns the inverse element of the group, which is the element that, when multiplied by the original element, results in the identity element of the group. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Header_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Header_methods.md new file mode 100644 index 0000000000..d9591b0860 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Header_methods.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Header_methods.tex) + +This file contains a set of methods that are used to retrieve various properties of a blockchain header. A header is a data structure that contains metadata about a block in a blockchain. It includes information such as the block's timestamp, the hash of the previous block, and the root hash of the Merkle tree of transactions in the block. + +The methods in this file are used to retrieve specific properties of a header. For example, the `Header.version` method returns the version number of the protocol used to create the block, while the `Header.timestamp` method returns the timestamp of the block. + +Each method takes no parameters and returns a specific type of data. For example, the `Header.stateRoot` method returns an `AvlTree` object, which is a data structure used to represent a Merkle tree. The `Header.powDistance` method returns a `BigInt` object, which is a large integer used to represent the proof-of-work difficulty of the block. + +These methods are used throughout the larger project to retrieve information about blocks in the blockchain. For example, they may be used by other modules to verify the validity of a block or to calculate the total difficulty of the blockchain. + +Example usage: + +``` +val header: Header = // get header object from somewhere +val version: Byte = header.version +val timestamp: Long = header.timestamp +val stateRoot: AvlTree = header.stateRoot +``` +## Questions: + 1. What is the purpose of the Header class? +- The Header class contains methods that return various properties of a block header, such as the version, timestamp, and proof-of-work information. + +2. What type of data does the Header.stateRoot method return? +- The Header.stateRoot method returns an AvlTree object. + +3. What is the purpose of the Header.votes method? +- The Header.votes method returns the votes that were cast for this block by validators in the network. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Int_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Int_methods.md new file mode 100644 index 0000000000..2ca966dc02 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Int_methods.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Int_methods.tex) + +This file contains a set of methods for converting an integer value to different data types. The methods are named according to the target data type, such as `toByte`, `toShort`, `toInt`, `toLong`, `toBigInt`, `toBytes`, and `toBits`. + +Each method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. The `toBytes` method returns a collection of bytes in big-endian representation, while the `toBits` method returns a collection of Booleans, each corresponding to one bit in the integer value. + +These methods can be used in various parts of the project where integer values need to be converted to different data types. For example, the `toBytes` method can be used to convert an integer value to a byte array for network communication or storage purposes. The `toBigInt` method can be used to convert an integer value to a `BigInt` type for cryptographic operations. + +Here is an example of using the `toBytes` method to convert an integer value to a byte array: + +``` +val intValue = 123456789 +val byteArr = intValue.toBytes +``` + +This will result in `byteArr` containing the bytes `[0x07, 0x5B, 0xCD, 0x15]`, which is the big-endian representation of the integer value `123456789`. +## Questions: + 1. What is the purpose of these methods? +- These methods are used to convert an integer value to different data types or representations, such as byte, short, long, big integer, bytes, and bits. + +2. What happens if the integer value overflows during conversion? +- The methods throw an exception if the integer value overflows during conversion. + +3. What is the format of the output for the toBytes and toBits methods? +- The toBytes method returns a big-endian representation of the integer value in a collection of bytes, while the toBits method returns a big-endian representation of the integer value in a collection of Booleans, where each Boolean corresponds to one bit. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Long_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Long_methods.md new file mode 100644 index 0000000000..324a775091 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Long_methods.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Long_methods.tex) + +This code defines a set of methods for converting a Long value to various other data types. The methods include toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. Each method takes no parameters and returns the converted value or representation of the Long value. + +The toByte, toShort, and toInt methods all convert the Long value to their respective data types, throwing an exception if the conversion results in an overflow. The toLong method simply returns the Long value itself. The toBigInt method converts the Long value to a BigInt. The toBytes method returns a big-endian representation of the Long value in a collection of bytes. Finally, the toBits method returns a big-endian representation of the Long value in a collection of Booleans, with each Boolean corresponding to one bit. + +These methods can be used in a larger project where there is a need to convert Long values to other data types or representations. For example, the toBytes method could be useful in a project where Long values need to be transmitted over a network or stored in a file as a sequence of bytes. The toBits method could be useful in a project where Long values need to be manipulated at the bit level. + +Here is an example of using the toBytes method: + +``` +val longValue: Long = 1234567890 +val bytes: Coll[Byte] = longValue.toBytes +``` + +In this example, a Long value is first assigned to the variable longValue. The toBytes method is then called on the longValue variable, returning a big-endian representation of the Long value in a collection of bytes, which is assigned to the bytes variable. +## Questions: + 1. What is the purpose of these methods? +- These methods are used to convert a Long value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans. + +2. What happens if there is an overflow during the conversion? +- An exception will be thrown if there is an overflow during the conversion. + +3. How is the big-endian representation of the numeric value returned in the toBytes method? +- The big-endian representation of the numeric value is returned as a collection of bytes in the toBytes method. For example, the Int value 0x12131415 would yield the collection of bytes [0x12, 0x13, 0x14, 0x15]. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/PreHeader_methods.md b/.autodoc/docs/markdown/docs/spec/generated/PreHeader_methods.md new file mode 100644 index 0000000000..c9860c221b --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/PreHeader_methods.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/PreHeader_methods.tex) + +This code appears to be a set of methods for a class called "PreHeader". Each method is labeled with a code number and a name indicating its purpose. The methods seem to be getters for various properties of the PreHeader object, such as its version, parent ID, timestamp, and so on. + +Each method has a table with information about its parameters, result type, and how it is serialized. However, the tables are currently empty, so it is unclear what parameters each method takes or how the serialization works. + +Based on the method names and their return types, it seems likely that the PreHeader class is used to store metadata about a block in a blockchain. The version, parent ID, timestamp, and nBits properties are all common attributes of a block, while the minerPk and votes properties may be specific to the implementation. + +Without more context about the project, it is difficult to say how these methods are used in the larger system. However, it is likely that other classes or methods in the project interact with the PreHeader object and use these getters to access its properties. + +Example usage of these methods might look like: + +``` +val preHeader = new PreHeader(...) +val version = preHeader.version +val parentID = preHeader.parentId +val timestamp = preHeader.timestamp +// and so on for other properties +``` +## Questions: + 1. What is the purpose of the PreHeader class? + - The code provides methods for accessing various properties of the PreHeader class, but it does not explain the overall purpose of the class. +2. What are the expected inputs for the methods in the PreHeader class? + - The code does not provide any information on the expected inputs for the methods in the PreHeader class. +3. How are the results of the methods in the PreHeader class used in the larger project? + - The code does not provide any information on how the results of the methods in the PreHeader class are used in the larger project. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/SCollection_methods.md b/.autodoc/docs/markdown/docs/spec/generated/SCollection_methods.md new file mode 100644 index 0000000000..4fd80bcc95 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/SCollection_methods.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SCollection_methods.tex) + +This code provides a set of methods for working with collections of elements, specifically for the `SCollection` class. These methods allow users to perform various operations on collections, such as getting the size, accessing elements by index, transforming elements, filtering, and more. + +1. `size`: Returns the number of elements in the collection. +2. `getOrElse`: Returns the element at the specified index if it exists, otherwise returns a default value. +3. `map`: Applies a function to each element in the collection and returns a new collection with the results. +4. `exists`: Checks if at least one element in the collection satisfies a given predicate. +5. `fold`: Applies a binary operator to a start value and all elements of the collection, going left to right. +6. `forall`: Checks if all elements in the collection satisfy a given predicate. +7. `slice`: Selects a range of elements from the collection based on the given indices. +8. `filter`: Returns a new collection containing only the elements that satisfy a given predicate. +9. `append`: Concatenates two collections. +10. `apply`: Returns the element at the specified index. +11. `indices`: Returns a collection containing the range of all indices of the original collection. +12. `flatMap`: Applies a collection-valued function to each element in the collection and concatenates the results. +13. `patch`, `updated`, `updateMany`: These methods allow updating elements in the collection. +14. `indexOf`: Returns the index of a specified element in the collection. +15. `zip`: Combines two collections into a single collection of pairs. + +These methods are essential for working with collections in a larger project, as they provide the necessary functionality for manipulating and querying data stored in collections. The code also includes serialization information for each method, which is useful when storing or transmitting data in a serialized format. +## Questions: + 1. **What is the purpose of the SCollection class?** + + The SCollection class represents a collection of elements and provides various methods to manipulate and query the collection, such as `size`, `getOrElse`, `map`, `exists`, `fold`, `forall`, `slice`, `filter`, `append`, `apply`, `indices`, `flatMap`, `patch`, `updated`, `updateMany`, `indexOf`, and `zip`. + +2. **How are the methods in the SCollection class serialized?** + + Each method in the SCollection class has a corresponding serialized form, as specified in the "Serialized as" row of each method's documentation table. For example, the `size` method is serialized as `SizeOf`, and the `map` method is serialized as `MapCollection`. + +3. **What are the input and output types of the methods in the SCollection class?** + + The input and output types of the methods in the SCollection class can be found in the "Parameters" and "Result" rows of each method's documentation table. For example, the `getOrElse` method takes an `index: Int` and a `default: IV` as input parameters and returns a result of type `IV`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/SOption_methods.md b/.autodoc/docs/markdown/docs/spec/generated/SOption_methods.md new file mode 100644 index 0000000000..60347d1b30 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/SOption_methods.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SOption_methods.tex) + +This file contains several methods related to the SOption class. The SOption class is a wrapper around the Option class in Scala, which represents optional values. The methods in this file provide functionality for checking if an SOption is defined, getting the value of an SOption, getting the value of an SOption or a default value if the SOption is empty, mapping over an SOption, and filtering an SOption based on a predicate. + +The `SOption.isDefined` method returns true if the SOption is an instance of Some, which means it has a value, and false otherwise. The `SOption.get` method returns the value of the SOption if it is non-empty, and throws an exception if it is empty. The `SOption.getOrElse` method returns the value of the SOption if it is non-empty, and returns a default value if it is empty. + +The `SOption.map` method applies a function to the value of the SOption if it is non-empty, and returns a new SOption containing the result of the function. If the SOption is empty, it returns None. The `SOption.filter` method applies a predicate to the value of the SOption, and returns the SOption if the predicate returns true, and None otherwise. + +These methods are useful for working with optional values in a type-safe way. They allow developers to check if an optional value exists, get the value if it does exist, and apply transformations to the value if it is present. This can help prevent null pointer exceptions and make code more robust. + +Example usage of these methods could be as follows: + +``` +val myOption: SOption[Int] = SOption(5) + +if(myOption.isDefined){ + val value = myOption.get + println(s"The value is $value") +} + +val defaultValue = 10 +val result = myOption.getOrElse(defaultValue) +println(s"The result is $result") + +val mappedOption = myOption.map(value => value * 2) +println(s"The mapped option is $mappedOption") + +val filteredOption = myOption.filter(value => value > 10) +println(s"The filtered option is $filteredOption") +``` +## Questions: + 1. What is the purpose of the SOption class? +- The SOption class provides methods for handling optional values in a type-safe way. + +2. What is the difference between SOption.get and SOption.getOrElse? +- SOption.get returns the value of the option if it is nonempty, but throws an exception if it is empty. SOption.getOrElse returns the value of the option if it is nonempty, but returns a default value if it is empty. + +3. What is the purpose of SOption.filter? +- SOption.filter returns the option if it is nonempty and the predicate passed as an argument returns true when applied to the option's value. Otherwise, it returns None. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/Short_methods.md b/.autodoc/docs/markdown/docs/spec/generated/Short_methods.md new file mode 100644 index 0000000000..42a03dfb8a --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/Short_methods.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/Short_methods.tex) + +This file contains a set of methods for converting a Short value to different data types. The methods are named according to the target data type, such as toByte, toShort, toInt, toLong, toBigInt, toBytes, and toBits. + +Each method takes no parameters and returns the converted value. If the conversion results in an overflow, an exception is thrown. + +The toBytes method returns a big-endian representation of the Short value in a collection of bytes. For example, the Short value 0x1234 would yield the collection of bytes [0x12, 0x34]. The toBits method returns a big-endian representation of the Short value in a collection of Booleans, where each Boolean corresponds to one bit. + +These methods can be used in the larger project to convert Short values to other data types as needed. For example, if a function requires an Int value but is given a Short value, the toInt method can be used to convert the Short value to an Int value. Similarly, if a Short value needs to be serialized as a collection of bytes or Booleans, the toBytes and toBits methods can be used, respectively. + +Example usage: + +``` +val shortValue: Short = 1234 +val intValue: Int = shortValue.toInt +val byteCollection: Coll[Byte] = shortValue.toBytes +val booleanCollection: Coll[Boolean] = shortValue.toBits +``` +## Questions: + 1. What is the purpose of these methods? +- These methods are used to convert a Short value to different data types such as Byte, Short, Int, Long, BigInt, and collections of bytes or Booleans. + +2. What happens if there is an overflow during the conversion? +- If there is an overflow during the conversion, an exception is thrown. + +3. How is the numeric value represented in the returned collection of bytes or Booleans? +- The numeric value is represented in a big-endian format in the returned collection of bytes or Booleans. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/SigmaDslBuilder_methods.md b/.autodoc/docs/markdown/docs/spec/generated/SigmaDslBuilder_methods.md new file mode 100644 index 0000000000..1a382e9913 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/SigmaDslBuilder_methods.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaDslBuilder_methods.tex) + +This code is a part of a larger project and contains two methods: `groupGenerator` and `xor`. + +The `groupGenerator` method returns a `GroupElement` object and takes no parameters. It is used to generate a new group element in the Sigma protocol. The `GroupElement` object represents an element of a mathematical group and is used in cryptographic protocols. This method is serialized as a `GroupGenerator` object. + +The `xor` method takes two collections of bytes as parameters and returns a new collection of bytes that is the result of a byte-wise XOR operation between the two input collections. This method is used in cryptographic protocols to combine two pieces of data in a way that makes it difficult for an attacker to recover the original data. This method is serialized as an `Xor` object. + +Both methods are part of the `SigmaDslBuilder` class, which is likely used to build and manipulate objects in the Sigma protocol. The `SigmaDslBuilder` class is not defined in this file, but it is likely defined elsewhere in the project. + +Example usage of the `xor` method: + +``` +val left: Array[Byte] = Array(0x01, 0x02, 0x03) +val right: Array[Byte] = Array(0x04, 0x05, 0x06) +val result: Array[Byte] = SigmaDslBuilder.xor(left, right) +// result is now [0x05, 0x07, 0x05] +``` + +Overall, these methods are important building blocks for the Sigma protocol and are likely used extensively throughout the larger project. +## Questions: + 1. What is the purpose of the SigmaDslBuilder.groupGenerator method? +- The SigmaDslBuilder.groupGenerator method returns a GroupElement and is serialized as a GroupGenerator. + +2. What does the SigmaDslBuilder.xor method do? +- The SigmaDslBuilder.xor method performs a byte-wise XOR operation on two collections of bytes and returns a collection of bytes. + +3. Are there any parameters for the SigmaDslBuilder.groupGenerator method? +- No, there are no parameters for the SigmaDslBuilder.groupGenerator method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/SigmaProp_methods.md b/.autodoc/docs/markdown/docs/spec/generated/SigmaProp_methods.md new file mode 100644 index 0000000000..bb3eaef1c0 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/SigmaProp_methods.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/SigmaProp_methods.tex) + +This code defines two methods for the SigmaProp class: propBytes and isProven. + +The propBytes method returns the serialized bytes of the SigmaProp proposition taken as an ErgoTree. The ErgoTree is a low-level representation of a script in the Ergo blockchain, and SigmaProp is a type of script that represents a signature of a public key. Therefore, this method can be used to obtain the serialized bytes of a signature for verification purposes. + +The isProven method is used for frontend verification of a SigmaProp proposition. It verifies that the proposition is proven, meaning that it has been signed by the appropriate private key. This method returns a boolean value indicating whether the proposition is proven or not. + +Both of these methods are useful for verifying the validity of transactions in the Ergo blockchain. The propBytes method can be used to obtain the serialized bytes of a signature for verification, while the isProven method can be used to verify that a signature is valid. These methods are part of the larger project of creating a secure and efficient blockchain platform. + +Example usage of the propBytes method: + +``` +val sigProp = new SigmaProp(...) +val bytes = sigProp.propBytes +// use bytes for verification +``` + +Example usage of the isProven method: + +``` +val sigProp = new SigmaProp(...) +val isVerified = sigProp.isProven +// use isVerified to determine validity of signature +``` +## Questions: + 1. What is a Sigma proposition and how is it represented in this code? +- A Sigma proposition is represented as an ErgoTree and its serialized bytes can be obtained using the `SigmaProp.propBytes` method. + +2. What is the purpose of the `SigmaProp.isProven` method and where is it intended to be used? +- The `SigmaProp.isProven` method is intended to be used in the frontend to verify that a Sigma proposition is proven. + +3. Are there any parameters required for these methods? +- No, there are no parameters required for either the `SigmaProp.propBytes` or `SigmaProp.isProven` methods. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/ergotree_serialization.md b/.autodoc/docs/markdown/docs/spec/generated/ergotree_serialization.md new file mode 100644 index 0000000000..2dcd4d08a0 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/ergotree_serialization.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/ergotree_serialization.tex) + +This file contains the technical documentation for several operations in a project. The operations are identified by their OpCode, which is a code that specifies the operation to be performed. The operations documented in this file are ByIndex, EQ, Tuple, and Fold. + +The ByIndex operation retrieves a value from a collection by its index. The input slot specifies the collection, and the optional default slot specifies a default value to return if the index is out of range. The tag slot is a byte that indicates whether the default value is present. If the tag is 1, the value slot specifies the default value. If the tag is 0, there is no default value. + +The EQ operation compares two values for equality. The left and right slots specify the values to be compared. If both values are boolean constants, the opCode slot specifies a concrete collection boolean constant code. Otherwise, the left and right values are compared directly. + +The Tuple operation creates a tuple from a list of values. The numItems slot specifies the number of items in the tuple, and the item slot specifies each item in turn. + +The Fold operation applies a binary operator to a collection of values to reduce it to a single value. The this slot specifies the collection, the zero slot specifies a starting value, and the op slot specifies the binary operator to apply. The operator is applied to the starting value and the first element of the collection, then to the result and the second element, and so on until all elements have been processed. + +These operations are low-level building blocks that can be used to implement more complex functionality in the project. For example, the ByIndex operation could be used to implement array indexing in a programming language, and the Fold operation could be used to implement a sum or product function. The technical documentation provided in this file will be useful for developers who need to understand how these operations work and how to use them in their code. +## Questions: + 1. What is the purpose of the code and what does it do? + + This code describes the format and structure of four different operations in a programming language, including their input parameters and expected output. + +2. What is the significance of the different opcodes (178, 147, 134, 176) and how are they used in the language? + + Each opcode corresponds to a specific operation in the language, with its own set of input parameters and expected output. These opcodes are used to identify which operation is being called and to execute the corresponding code. + +3. How might a developer modify or extend these operations to add new functionality to the language? + + A developer could modify or extend these operations by adding new input parameters or changing the expected output, or by creating entirely new operations with their own unique opcodes. However, any changes or additions would need to be carefully tested and integrated into the existing language infrastructure to ensure compatibility and stability. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/predeffunc_rows.md b/.autodoc/docs/markdown/docs/spec/generated/predeffunc_rows.md new file mode 100644 index 0000000000..25d2a6113f --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/predeffunc_rows.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeffunc_rows.tex) + +This code provides a set of operations for a project that deals with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions. + +Some of the key operations include: + +- `ConstantPlaceholder`: Creates a special ErgoTree node that can be replaced by a constant with a given ID. +- `LongToByteArray`, `ByteArrayToBigInt`, and `ByteArrayToLong`: Convert between numeric types and their byte array representations. +- `Downcast` and `Upcast`: Cast numeric values between different types, with overflow checks. +- `SelectField`: Select a tuple field by its 1-based index. +- Comparison operations like `LT`, `LE`, `GT`, `GE`, `EQ`, and `NEQ`: Perform comparisons between operands and return boolean results. +- `If`: A conditional operation that computes different branches based on a boolean condition. +- `AND`, `OR`, `AtLeast`: Logical operations on collections of boolean values. +- Arithmetic operations like `Minus`, `Plus`, `Multiply`, `Division`, and `Modulo`: Perform basic arithmetic on numeric operands. +- `Min` and `Max`: Find the minimum or maximum value of two operands. +- `CreateAvlTree`: Construct a new authenticated dictionary with given parameters and tree root digest. +- `CalcBlake2b256` and `CalcSha256`: Calculate cryptographic hash functions from input bytes. +- `CreateProveDlog` and `CreateProveDHTuple`: Create SigmaProp values representing public keys for different signature protocols. +- `DeserializeContext` and `DeserializeRegister`: Deserialize values from context variables or registers. +- `Apply`: Apply a function to its arguments. +- `GetVar`: Get a context variable with a given ID and type. +- `SigmaAnd` and `SigmaOr`: Logical operations on collections of SigmaProp values. +- `DecodePoint`: Convert a byte collection to a GroupElement using GroupElementSerializer. + +These operations can be combined to create complex spending conditions and verify transactions in the larger project. For example, one could use the `If` operation along with comparison operations to create a condition that only allows a transaction if a certain value is greater than a threshold. +## Questions: + 1. **Question**: What is the purpose of the `ConstantPlaceholder` operation and how does it work? + **Answer**: The `ConstantPlaceholder` operation is used to create a special ErgoTree node that can be replaced by a constant with a given id. + +2. **Question**: How does the `Downcast` operation handle overflow situations? + **Answer**: The `Downcast` operation casts a numeric value to a smaller type (e.g., Long to Int) and throws an exception if an overflow occurs. + +3. **Question**: What is the difference between the `AND` and `OR` operations in this code? + **Answer**: The `AND` operation returns true if *all* elements in the collection are true, while the `OR` operation returns true if *any* element in the collection is true. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/predeftypes.md b/.autodoc/docs/markdown/docs/spec/generated/predeftypes.md new file mode 100644 index 0000000000..70f1d35f74 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/predeftypes.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/generated/predeftypes.tex) + +This code defines a set of data types used in a larger project. Each data type is assigned a unique identifier and has various properties such as whether it can be serialized or deserialized, whether it can be used as a key in a map, and the range of values it can take on. + +For example, the Boolean data type has an identifier of 1 and can take on the values of true or false. It can be serialized and deserialized, and can be used as a key in a map. The Byte data type has an identifier of 2 and can take on values in the range of -2^7 to 2^7-1. It can also be serialized and deserialized, and can be used as a key in a map. + +These data types are likely used throughout the larger project to define and manipulate various types of data. For example, the GroupElement data type may be used to represent points on a curve, while the SigmaProp data type may be used to represent cryptographic signatures. + +Overall, this code serves as a foundation for the larger project by defining the basic data types that will be used throughout. It ensures consistency and interoperability between different parts of the project by providing a standardized set of data types with well-defined properties. + +Example usage: + +``` +// Create a new Boolean object with a value of true +Boolean myBool = true; + +// Serialize the Boolean object to a byte array +byte[] serializedBool = myBool.serialize(); + +// Create a new GroupElement object representing a point on a curve +GroupElement myPoint = new GroupElement(x, y); + +// Get the x-coordinate of the point +BigInteger xCoord = myPoint.getX(); +``` +## Questions: + 1. What is the purpose of this code? + This code defines various data types and their properties, such as range of values and whether they can be serialized or not. + +2. What is the significance of the different data types listed? + The different data types listed have different ranges of values they can take and different serialization properties. This information is important for developers to know when working with these data types. + +3. What is the meaning of the different columns in the table? + The different columns in the table represent various properties of the data types, such as whether they can be serialized or not, their range of values, and their corresponding section in the documentation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/generated/summary.md b/.autodoc/docs/markdown/docs/spec/generated/summary.md new file mode 100644 index 0000000000..8333daa119 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/generated/summary.md @@ -0,0 +1,17 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec/generated) + +This folder contains code documentation for various classes and methods used in a larger project, likely related to a blockchain-based system. The code deals with data structures, cryptographic operations, and blockchain-specific concepts such as transactions, headers, and spending conditions. + +For instance, the `AvlTree_methods.tex` file documents methods for working with AVL trees, which are self-balancing binary search trees. These methods can be used to implement efficient key-value stores or databases in the project. The `BigInt_methods.tex` and `Byte_methods.tex` files provide methods for converting numeric values to different data types and representations, which can be useful in cryptographic operations or data serialization. + +The `Boolean_methods.tex` file deals with user authentication and authorization, providing classes and functions for securely managing user access to different parts of the system. The `Box_methods.tex` file documents methods for managing and manipulating Ergo tokens (NanoErg) in a blockchain-based project, providing functionality for accessing and modifying token containers. + +The `Context_methods.tex` file provides methods for accessing information about transactions in the Ergo blockchain, allowing developers to create complex smart contracts that enforce specific conditions on transactions. The `GroupElement_methods.tex` file contains methods related to group elements used in elliptic curve cryptography, providing basic operations for scalar multiplication, group multiplication, and inversion of group elements. + +The `Header_methods.tex` file documents methods for retrieving properties of a blockchain header, which can be used to verify the validity of a block or calculate the total difficulty of the blockchain. The `PreHeader_methods.tex` file contains methods for a class called "PreHeader", which likely stores metadata about a block in a blockchain. + +The `SCollection_methods.tex` file provides methods for working with collections of elements, allowing users to perform various operations on collections such as getting the size, accessing elements by index, transforming elements, filtering, and more. The `SOption_methods.tex` file contains methods related to the SOption class, which is a wrapper around the Option class in Scala, representing optional values. + +The `ergotree_serialization.tex` file documents several operations for working with ErgoTree, a language for specifying spending conditions in a blockchain-based system. These operations include various mathematical, logical, and cryptographic functions that can be used to create and manipulate ErgoTree expressions. + +Overall, this folder provides a comprehensive documentation of various classes and methods used in a larger blockchain-based project, offering developers a solid foundation for understanding and working with the code. diff --git a/.autodoc/docs/markdown/docs/spec/graph.md b/.autodoc/docs/markdown/docs/spec/graph.md new file mode 100644 index 0000000000..a76ff41887 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/graph.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/graph.tex) + +This code defines a class called "Graph" that represents a graph data structure. The purpose of this class is to provide a way to store and manipulate a graph, which is a collection of nodes (vertices) and edges that connect them. + +The Graph class has several methods that allow for adding and removing nodes and edges, as well as querying the graph for information such as the number of nodes and edges, and whether a particular node or edge exists. + +One important feature of this class is the ability to traverse the graph using depth-first search (DFS) or breadth-first search (BFS). These algorithms allow for exploring the graph in a systematic way, visiting each node and edge exactly once. This can be useful for tasks such as finding the shortest path between two nodes or detecting cycles in the graph. + +Here is an example of how to use the Graph class to create a simple graph and perform a DFS traversal: + +``` +g = Graph() +g.add_node(1) +g.add_node(2) +g.add_node(3) +g.add_edge(1, 2) +g.add_edge(2, 3) +g.dfs_traversal(1) +``` + +This code creates a graph with three nodes and two edges, and then performs a DFS traversal starting from node 1. The output of the traversal would be the sequence 1, 2, 3, which represents the order in which the nodes were visited. + +Overall, the Graph class provides a flexible and powerful way to work with graphs in a Python program. It can be used in a variety of applications, such as network analysis, social network analysis, and data visualization. +## Questions: + 1. What is the purpose of this graph and how is it being used in the project? + - The purpose of this graph is not clear from the code alone. It would be helpful to know how it is being used in the project and what data it is representing. + +2. Are there any specific algorithms or libraries being used to create and manipulate this graph? + - There is no indication in the code of any specific algorithms or libraries being used to create or manipulate the graph. It would be useful to know if any external resources are being utilized. + +3. Are there any potential performance issues with the size or complexity of this graph? + - Without knowing the size or complexity of the graph, it is difficult to determine if there are any potential performance issues. It would be helpful to have more information on the data being used to create the graph and how it is being accessed. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/language.md b/.autodoc/docs/markdown/docs/spec/language.md new file mode 100644 index 0000000000..13280bc06d --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/language.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/language.tex) + +This code defines the abstract syntax for the ErgoScript language, which is a typed functional language with tuples, collections, optional types, and val binding expressions. The purpose of this code is to provide a specification for the syntax and semantics of ErgoScript, which can be used in the larger project to implement the language. + +The abstract syntax of ErgoScript is defined using notation shown in Figure 1, which corresponds to the ErgoTree data structure that can be serialized to an array of bytes. The mnemonics shown in the figure correspond to classes of the ErgoTree reference implementation. + +The code assigns types to the terms in a standard way following typing rules shown in Figure 2. Constants keep both the type and the data value of that type. Variables are always typed and identified by unique id, which refers to either lambda-bound variable of val-bound variable. Lambda expressions can take a list of lambda-bound variables which can be used in the body expression, which can be a block expression. Function application takes an expression of functional type and a list of arguments. Method invocation allows to apply functions defined as methods of interface types. + +Conditional expressions of ErgoScript are strict in condition and lazy in both of the branches. Block expression contains a list of val definitions of variables. Each subsequent definition can only refer to the previously defined variables. Each type may be associated with a list of method declarations, in which case we say that the type has methods. The semantics of the methods is the same as in Java. + +The semantics of ErgoScript is specified by translating all its terms to a lower and simplified language, which is called core language. This lowering translation is shown in Figure 3. All n-ary lambdas when n>1 are transformed to single arguments lambdas using tupled arguments. Logical operations of ErgoScript, which are lazy on second argument, are translated to if term of ErgoScript, which is recursively translated to the corresponding core language term. Syntactic blocks of ErgoScript are completely eliminated and translated to nested lambda expressions, which unambiguously specify evaluation semantics of blocks. The core language is specified in Section 4. +## Questions: + 1. What is the purpose of the \langname language and how is it related to \corelang? + + The \langname language is a typed functional language with various features such as tuples, collections, optional types, and \lst{val} binding expressions. Its semantics are specified by first translating it to \corelang and then giving its evaluation semantics. + +2. How are variables defined and resolved in \langname? + + Variables in \langname are always typed and identified by a unique $id$, which refers to either lambda-bound variable or \lst{val} bound variable. The encoding of variables and their resolution is described in Section~\ref{sec:blocks}. + +3. How are logical operations (\lst{||}, \lst{&&}) of \langname translated to \corelang? + + Logical operations (\lst{||}, \lst{&&}) of \langname, which are lazy on the second argument, are translated to \lst{if} term of \langname, which is recursively translated to the corresponding \corelang term. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/serialization.md b/.autodoc/docs/markdown/docs/spec/serialization.md new file mode 100644 index 0000000000..04fc568140 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/serialization.md @@ -0,0 +1,21 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/serialization.tex) + +This code defines the serialization process for the \langname language, which is used to store contracts in persistent stores, transfer them over wire, and enable cross-platform interoperation. The serialization process converts terms of the language into a binary format, which can be stored in the Ergo blockchain as Box.propositionBytes. When validating the guarding script of an input box of a transaction, the propositionBytes array is deserialized to an \langname Intermediate Representation (IR) called \ASDag, which can be evaluated as specified in the code. + +The serialization procedure is specified in general, with the serialization format of \langname terms and types detailed in the corresponding appendices. The code also defines size limits for contract deserialization, as shown in Table~\ref{table:ser:formats}. The serialization formats used throughout the code are listed in Table~\ref{table:ser:formats}. + +The serialization format of \ASDag is optimized for compact storage and is data-dependent, with branching logic in many cases. Pseudo-language operators like \lst{for, match, if, optional} are used to express complex serialization logic and specify the structure of simple serialization slots. Each slot represents a fragment of the serialized byte stream, while operators specify how the slots are combined to form the byte stream. + +The code also covers the serialization of data values, constants, expressions, and \ASDag instances. The \ASDag serialization format is self-sufficient and can be stored and passed around, defining the top-level serialization format of \langname scripts. The interpretation of the byte array depends on the first header bytes, which use VLQ encoding up to 30 bits. The header bits are detailed in Figure~\ref{fig:ergotree:header}. +## Questions: + 1. **What is the purpose of the constant segregation bit in the header?** + + The constant segregation bit in the header is used to indicate whether constant segregation is used for the ErgoTree. If it is set to 1, the `constants` collection contains the constants for which there may be `ConstantPlaceholder` nodes in the tree. If it is set to 0, the `constants` collection should be empty and any placeholder in the tree will lead to an exception. + +2. **How are data values of different types serialized in \langname?** + + Data values of different types are serialized using a predefined function shown in Figure~\ref{fig:ser:data}. The serialization procedure is recursive over the type tree and the corresponding subcomponents of an object. For primitive types (the leaves of the type tree), the format is fixed. + +3. **What is the purpose of the \ASDag serialization format?** + + The \ASDag serialization format defines the top-level serialization format of \langname scripts. Serialized instances of \ASDag are self-sufficient and can be stored and passed around. The interpretation of the byte array depends on the first `header` bytes, which uses VLQ encoding up to 30 bits. The header bits are used to indicate various properties and options for the serialized \ASDag, such as language version, constant segregation, and reserved bits for future extensions. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/spec.md b/.autodoc/docs/markdown/docs/spec/spec.md new file mode 100644 index 0000000000..833c75f3ae --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/spec.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/spec.tex) + +This document provides a detailed technical explanation of the ErgoTree language, which is used to define the semantics of a condition that protects a closed box in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. It is intended for writing smart contracts and is a domain-specific language (DSL) that directly manipulates first-class Boxes, Tokens, and Zero-Knowledge Sigma-Propositions. + +The document covers the following aspects of ErgoTree: + +1. **Serialization**: The process of converting the graph into a binary format and deserializing it from the binary form. +2. **Well-formedness**: The conditions under which a graph is considered well-formed or not. +3. **Type system**: The type system and typing rules of ErgoTree. +4. **Execution trace**: How the graph is transformed into an execution trace. +5. **Costing**: How the execution trace is costed. +6. **Sigma-expression**: How the execution trace is reduced into a Sigma-expression and how the Sigma-expression is proven and verified. + +ErgoTree is designed to be simple, expressive, and deterministic, allowing for ahead-of-time cost estimation and facilitating spam-resistance. The syntax of ErgoTree is inspired by Scala/Kotlin and shares a common subset with Java and C#, making it familiar to developers proficient in these languages. +## Questions: + 1. **What is the purpose of this code?** + + This code defines the ErgoTree language, a typed abstract syntax language used for writing smart contracts on the Ergo Platform blockchain. The code includes data structures and algorithms for serialization, well-formedness, type system, execution trace, costing, and Sigma-expression proving and verification. + +2. **What are the main components of the ErgoTree language?** + + The main components of the ErgoTree language include: serialization to a binary format and deserialization, well-formedness conditions, type system and typing rules, execution trace transformation, execution trace costing, and Sigma-expression proving and verification. + +3. **How does ErgoTree ensure determinism and spam-resistance?** + + ErgoTree ensures determinism by not including any non-deterministic operations in the language. It ensures spam-resistance by supporting ahead-of-time cost estimation, which allows for a fast check before contract execution to ensure that the evaluation cost is within acceptable bounds. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/summary.md b/.autodoc/docs/markdown/docs/spec/summary.md new file mode 100644 index 0000000000..3dccda84c4 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/summary.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/spec) + +The `.autodoc/docs/json/docs/spec` folder contains code documentation for a project related to the ErgoTree language, which is used to define the semantics of conditions that protect closed boxes in the Ergo Platform blockchain. ErgoTree is a typed abstract syntax language designed to be deterministic, spam-resistant, expressive, and familiar to developers. The folder contains files that cover various aspects of ErgoTree, such as serialization, typing rules, evaluation semantics, and predefined types and functions. + +For example, the `appendix_ergotree_serialization.tex` file provides a technical explanation of the serialization format of ErgoTree nodes, which is essential for storing and processing scripts in the blockchain. Developers can reference this section to understand how to serialize ErgoTree nodes in their own code. + +The `appendix_integer_encoding.tex` file contains methods for encoding integer values in a compressed format, which can be used in various applications such as data compression, network protocols, and file formats. Developers can use the provided VLQ and ZigZag encoding methods to compress large integer values efficiently. + +The `appendix_predeftypes.tex` file defines the predefined types used in the ErgoTree language and their associated methods. This information is useful for developers working with ErgoTree and needing to understand the properties and capabilities of each type. + +The `compile.sh` and `cleanout.sh` scripts are part of the build process for the project, helping to compile LaTeX documents into PDFs and clean up auxiliary files generated during the compilation process. + +Here's an example of how these files might be used together in a larger project: + +```python +# Define a function using the syntax from language.tex +func_def = "f(x: Int, y: String) = x + y.length" + +# Check the typing of the function using the rules from types.tex +func_type = infer_type(func_def) # Returns "(Int, String) -> Int" + +# Serialize the function using the process from serialization.tex +serialized_func = serialize(func_def) + +# Deserialize the function back into its original form +deserialized_func = deserialize(serialized_func) + +# Evaluate an expression using the function and the semantics from evaluation.tex +expr = "f(5, 'hello')" +result = evaluate(expr) # Returns 10 +``` + +In summary, the `.autodoc/docs/json/docs/spec` folder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language. diff --git a/.autodoc/docs/markdown/docs/spec/type_serialization.md b/.autodoc/docs/markdown/docs/spec/type_serialization.md new file mode 100644 index 0000000000..71806319b5 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/type_serialization.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/type_serialization.tex) + +This code describes the serialization of types and typed data in the project. The purpose of this code is to provide a basis for the serialization of Constant nodes of \ASDag and arbitrary \ASDag trees. The code defines the distribution of type codes, encoding of data types, encoding of function types, and recursive descent. + +The distribution of type codes is divided into three intervals. The first interval is a special value to represent undefined type, the second interval includes data types such as primitive types, arrays, options, and classes, and the third interval includes function types. The encoding of data types is defined for primitive types and type constructors like Coll or Option. Each primitive type has an id in a range of 1 to 11. For each type constructor, a base code is associated, which is a multiple of 12. The base code can be added to the primitive type id to produce the code of the constructed type. The encoding of function types uses 12 different values for both domain and range types of functions. Each code in the range of function types can be represented as D * 12 + R + 112, where D and R are indices of domain and range types, and 112 is the first code in the interval of function types. + +Recursive descent is used when an argument of a type constructor is not a primitive type. In such a case, the special code for the type constructor is emitted according to the table, and recursive descent is performed to every child node of the type tree. The recursive descent is done only for those children whose code cannot be embedded in the parent code. + +This code is an essential part of the project as it provides the basis for serialization of types and typed data. It can be used to serialize Constant nodes of \ASDag and arbitrary \ASDag trees. The code examples provided in the code show how different types are encoded and how many bytes are required to encode them. This information can be used to optimize the serialization process and reduce the size of the serialized data. +## Questions: + 1. What is the motivation behind the type encoding used in this code? +- The motivation behind the type encoding used in this code can be found in Appendix~\ref{sec:appendix:motivation:type}. + +2. How are function types encoded in this code? +- Function types are encoded using 12 different values for both domain and range types, allowing for a total of 144 function types. Each code in the range of function types can be represented as $F = D * 12 + R + 112$, where $D$ and $R$ are indices of domain and range types respectively. + +3. How does recursive descent work in the encoding of non-primitive types? +- When an argument of a type constructor is not a primitive type, the encoding falls back to a simple schema. The special code for the type constructor is emitted, and recursive descent is performed on every child node of the type tree, but only for those children whose code cannot be embedded in the parent code. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/spec/types.md b/.autodoc/docs/markdown/docs/spec/types.md new file mode 100644 index 0000000000..e1c9c72230 --- /dev/null +++ b/.autodoc/docs/markdown/docs/spec/types.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/spec/types.tex) + +# Typing + +This code defines the typing rules for a strictly typed language called `langname`. The purpose of this code is to ensure that every term in the language has a type in order to be well-formed and evaluated. The typing judgement is of the form $\Der{\Gamma}{e : T}$, which states that $e$ is a term of type $T$ in the typing context $\Gamma$. + +The code includes a figure that shows the typing rules of `langname`. Note that each well-typed term has exactly one type, so there exists a function `termType: Term -> T` that relates each well-typed term with the corresponding type. + +Primitive operations can be parameterized with type variables, such as addition, which has the signature $+~:~ (T,T) \to T$ where $T$ is a numeric type. The function `ptype` returns a type of primitive operation specialized for concrete types of its arguments. For example, `ptype(+,\lst{Int}, \lst{Int}) = (\lst{Int}, \lst{Int}) \to \lst{Int}`. + +Similarly, the function `mtype` returns a type of method specialized for concrete types of the arguments of the `MethodCall` term. + +The `BlockExpr` rule defines a type of well-formed block expression. It assumes a total ordering on `val` definitions. If a block expression is not well-formed, then it cannot be typed and evaluated. + +Overall, this code is an essential part of the `langname` language, as it ensures that every term has a type and can be evaluated properly. It also provides a way to parameterize primitive operations and methods with concrete types, making the language more flexible and powerful. +## Questions: + 1. What is the purpose of the "termType" function mentioned in the code? +- The "termType" function relates each well-typed term with the corresponding type. + +2. How are primitive operations parameterized with type variables? +- Primitive operations are parameterized with type variables using a signature that specifies the type of the arguments and the return type. + +3. What happens if a block expression is not well-formed? +- If a block expression is not well-formed, it cannot be typed and evaluated. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/summary.md b/.autodoc/docs/markdown/docs/summary.md new file mode 100644 index 0000000000..204a4d94e7 --- /dev/null +++ b/.autodoc/docs/markdown/docs/summary.md @@ -0,0 +1,15 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs) + +The `.autodoc/docs/json/docs` folder contains essential documentation and resources for a project related to ErgoScript and ErgoTree, which are programming languages designed for cryptocurrencies and blockchain technology. The folder is organized into several subfolders, each focusing on a specific aspect of the project. + +The `posters` subfolder provides a detailed technical explanation of ErgoScript and its capabilities in the `poster.tex` file, while the `sources.bib` file offers a collection of relevant bibliographic references for further research and development. + +The `sigmastate_protocols` subfolder contains a `compile.sh` script that compiles LaTeX documents into PDF files. This script can be integrated into a larger project to automate the generation of PDFs from LaTeX source files, making it an essential component for projects that include technical documentation written in LaTeX. + +The `spec` subfolder provides a comprehensive specification of the ErgoTree programming language, including its syntax, semantics, typing rules, and serialization process. These files can be used as a foundation for implementing interpreters, compilers, and development tools for the language, as well as for reasoning about the behavior of programs written in the language. + +The `wpaper` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document named "sigma" into a PDF file. This script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents. + +The `zerojoin` subfolder contains a `compile.sh` script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes. + +In summary, the `.autodoc/docs/json/docs` folder provides essential documentation, resources, and tools for projects related to ErgoScript and ErgoTree. The various subfolders cover different aspects of the project, such as technical explanations, specifications, and compilation scripts. These resources can be used by developers to better understand the project, implement features, and automate processes related to LaTeX documentation. diff --git a/.autodoc/docs/markdown/docs/wpaper/compile.md b/.autodoc/docs/markdown/docs/wpaper/compile.md new file mode 100644 index 0000000000..99907a6934 --- /dev/null +++ b/.autodoc/docs/markdown/docs/wpaper/compile.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/wpaper/compile.sh) + +This code is a shell script that compiles a LaTeX document called "sigma" into a PDF file. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the "command -v" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +Assuming both commands are found, the script then runs pdflatex on the "sigma" document, followed by bibtex to process any bibliography references. It then runs pdflatex twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process. + +This script can be used as part of a larger project that involves writing and compiling LaTeX documents. It ensures that the necessary tools are installed and automates the compilation process, saving time and effort for the user. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document. + +Here is an example of how to use this script: + +1. Save the script to a file called "compile.sh" in the same directory as the "sigma" LaTeX document. +2. Open a terminal and navigate to the directory where the script and document are located. +3. Run the command "chmod +x compile.sh" to make the script executable. +4. Run the command "./compile.sh" to compile the "sigma" document into a PDF file. + +Overall, this script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a useful tool for any project that involves writing and compiling LaTeX documents. +## Questions: + 1. What is the purpose of this script? + This script checks if the commands 'pdflatex' and 'bibtex' exist and if not, it provides instructions for installing them. It then runs these commands on a file called 'sigma' and removes some auxiliary files. + +2. What operating systems is this script compatible with? + This script is compatible with Unix-based operating systems, such as Linux and macOS, that have the 'sh' shell installed. + +3. What is the 'sigma' file that this script is operating on? + It is unclear from the code what the 'sigma' file is or what its contents are. It is possible that it is a LaTeX document that is being compiled into a PDF. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/wpaper/summary.md b/.autodoc/docs/markdown/docs/wpaper/summary.md new file mode 100644 index 0000000000..a1994b7228 --- /dev/null +++ b/.autodoc/docs/markdown/docs/wpaper/summary.md @@ -0,0 +1,16 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/wpaper) + +The `compile.sh` script in the `.autodoc/docs/json/docs/wpaper` folder is a shell script that automates the process of compiling a LaTeX document named "sigma" into a PDF file. This script is particularly useful for projects that involve writing and compiling LaTeX documents, such as research papers with references and citations. + +The script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +Assuming both commands are found, the script then runs `pdflatex` on the "sigma" document, followed by `bibtex` to process any bibliography references. It then runs `pdflatex` twice more to ensure that all references and citations are properly resolved. Finally, it removes some auxiliary files generated during the compilation process. + +To use this script, follow these steps: + +1. Save the script to a file called "compile.sh" in the same directory as the "sigma" LaTeX document. +2. Open a terminal and navigate to the directory where the script and document are located. +3. Run the command `chmod +x compile.sh` to make the script executable. +4. Run the command `./compile.sh` to compile the "sigma" document into a PDF file. + +This script simplifies the process of compiling LaTeX documents and ensures that the necessary tools are installed, making it a valuable addition to any project that involves writing and compiling LaTeX documents. For example, a research project that involves writing a paper with references and citations could use this script to compile the final document, saving time and effort for the user. diff --git a/.autodoc/docs/markdown/docs/zerojoin/compile.md b/.autodoc/docs/markdown/docs/zerojoin/compile.md new file mode 100644 index 0000000000..b55108fa75 --- /dev/null +++ b/.autodoc/docs/markdown/docs/zerojoin/compile.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/docs/zerojoin/compile.sh) + +This code is a shell script that compiles a LaTeX document into a PDF. It first checks if the necessary commands, pdflatex and bibtex, are installed on the system by using the "command -v" command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +Assuming both commands are found, the script then runs pdflatex on a file named "main". This generates an auxiliary file, which is used by bibtex to generate a bibliography. The script then runs pdflatex again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated. + +After the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean. + +This script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated. + +Example usage: + +``` +$ ./compile.sh +``` + +This will compile the LaTeX document named "main.tex" in the current directory and generate a PDF named "main.pdf". +## Questions: + 1. What is the purpose of this script? + + This script checks if the commands 'pdflatex' and 'bibtex' are installed and then runs them to compile a LaTeX document called 'main', and finally removes some auxiliary files. + +2. What operating systems is this script compatible with? + + This script is compatible with any Unix-like operating system that has a Bourne shell (sh) interpreter installed. + +3. Are there any additional dependencies required to run this script? + + Yes, in addition to 'pdflatex' and 'bibtex', some additional packages like fonts and color packages are required. The script provides instructions for installing these packages on Ubuntu. \ No newline at end of file diff --git a/.autodoc/docs/markdown/docs/zerojoin/summary.md b/.autodoc/docs/markdown/docs/zerojoin/summary.md new file mode 100644 index 0000000000..75aa1c8758 --- /dev/null +++ b/.autodoc/docs/markdown/docs/zerojoin/summary.md @@ -0,0 +1,19 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/docs/zerojoin) + +The `compile.sh` script in the `.autodoc/docs/json/docs/zerojoin` folder is a shell script that automates the process of compiling a LaTeX document into a PDF. This script is particularly useful in projects that involve writing technical documents in LaTeX, as it saves time and ensures that the document is always up-to-date with the latest changes. + +The script first checks if the necessary commands, `pdflatex` and `bibtex`, are installed on the system by using the `command -v` command. If either of these commands is not found, the script prints an error message and exits with a status code of 1. + +Assuming both commands are found, the script then runs `pdflatex` on a file named "main". This generates an auxiliary file, which is used by `bibtex` to generate a bibliography. The script then runs `pdflatex` again to incorporate the bibliography into the document, and runs it a final time to ensure all references are properly updated. + +After the PDF is generated, the script removes the auxiliary files created during the compilation process to keep the working directory clean. + +This script can be used as part of a larger project that involves writing technical documents in LaTeX. By automating the compilation process, it saves time and ensures that the document is always up-to-date with the latest changes. The script can be run from the command line or integrated into a build system to automatically generate the PDF whenever the source files are updated. + +Example usage: + +```bash +$ ./compile.sh +``` + +This will compile the LaTeX document named "main.tex" in the current directory and generate a PDF named "main.pdf". diff --git a/.autodoc/docs/markdown/graph-ir/src/main/resources/reference.md b/.autodoc/docs/markdown/graph-ir/src/main/resources/reference.md new file mode 100644 index 0000000000..d94b4a9c34 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/resources/reference.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/resources/reference.conf) + +This file is a reference configuration file for Scalan, a Scala-based framework for developing domain-specific languages (DSLs). The purpose of this file is to provide default configuration settings for the Scalan framework, which can be overridden in the application.conf file. + +The file contains several configuration options, including debug mode, verbosity level, and control dependencies. The debug option enables the collection of extra debugging information, while the verbosity option controls the amount of output generated by the framework. The addControlDeps option enables the addition of control dependencies to the generated code, which can improve performance in some cases. + +The file also includes settings for loading plugins and generating graphs during compilation. The plugins.extraClassPath option specifies the classpath for loading plugins, which can be jar files or directories separated by the File.pathSeparator. The graphviz section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. + +Overall, this file provides default configuration settings for the Scalan framework, which can be customized in the application.conf file. Developers can use this file to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. + +Example usage: + +To enable debug mode, set the debug option to true in the application.conf file: + +``` +scalan { + debug = true +} +``` + +To customize the format of generated graphs, set the format option to svg: + +``` +scalan { + graphviz { + format = svg + } +} +``` +## Questions: + 1. What is the purpose of this configuration file? + This configuration file is a reference file for Scalan and is used to put overrides into the application.conf file. + +2. What is the significance of the "debug" and "verbosity" settings? + The "debug" setting determines whether extra debugging information is collected, while the "verbosity" setting determines the level of verbosity for the debugging information. + +3. What is the purpose of the "graphviz" section and its settings? + The "graphviz" section contains settings for graphs produced during compilation, including whether graphs will be emitted, the format of the graphs, the orientation of the graphs, and various other settings related to the appearance of the graphs. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/resources/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/resources/summary.md new file mode 100644 index 0000000000..6ea9f56adb --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/resources/summary.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/resources) + +The `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a crucial part of the Scalan framework, a Scala-based framework for developing domain-specific languages (DSLs). This file provides default configuration settings for the Scalan framework, which can be overridden by the `application.conf` file. It is essential for controlling various aspects of the framework, such as debugging, output verbosity, control dependencies, plugin loading, and graph generation during compilation. + +For instance, the `debug` option in the configuration file enables the collection of extra debugging information, which can be helpful for developers when troubleshooting issues. To enable debug mode, you can set the `debug` option to `true` in the `application.conf` file: + +```scala +scalan { + debug = true +} +``` + +Another important aspect of the `reference.conf` file is the control over the amount of output generated by the framework. The `verbosity` option allows developers to set the desired level of output, making it easier to focus on relevant information during development. + +The `addControlDeps` option enables the addition of control dependencies to the generated code, which can improve performance in some cases. This can be particularly useful when optimizing the performance of the generated DSL code. + +The `reference.conf` file also includes settings for loading plugins and generating graphs during compilation. The `plugins.extraClassPath` option specifies the classpath for loading plugins, which can be jar files or directories separated by the `File.pathSeparator`. This allows developers to extend the functionality of the Scalan framework with custom plugins. + +The `graphviz` section contains options for generating graphs, including whether to emit graphs, the format of the graphs (dot, svg, etc.), and the orientation of the graphs (portrait or landscape). Other options control the maximum label length for node labels, whether to show subgraphs as clusters, and whether to show metadata. To customize the format of generated graphs, set the `format` option to `svg`: + +```scala +scalan { + graphviz { + format = svg + } +} +``` + +In summary, the `reference.conf` file in the `.autodoc/docs/json/graph-ir/src/main/resources` folder is a vital part of the Scalan framework, providing default configuration settings that can be customized in the `application.conf` file. It allows developers to enable or disable debugging, control the amount of output generated by the framework, and customize the generation of graphs during compilation. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/DefRewriting.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/DefRewriting.md new file mode 100644 index 0000000000..7a4223de3c --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/DefRewriting.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/DefRewriting.scala) + +The code provided is a trait called DefRewriting, which is a part of a larger project. The purpose of this trait is to provide a set of methods that can be used to rewrite nodes in a given graph. The trait is designed to work with a specific project called Scalan, which is a domain-specific language for high-performance computing. + +The main method in this trait is called rewriteDef, which takes a node in the graph and rewrites it to another equivalent node. The method returns the reference of the new node if a rewrite pattern is found and applied, otherwise, it returns null. The method uses pattern matching to match the given node against a set of rewrite patterns. If a match is found, the method applies the corresponding rewrite rule to the node. + +The trait also provides two other methods called rewriteUnOp and rewriteBinOp, which are used to rewrite unary and binary operations, respectively. These methods take an operation and its arguments and rewrite them to an equivalent expression. The methods return null if no rewriting is defined for the given operation. + +The trait also provides two helper methods called propagateUnOp and propagateBinOp, which are used to perform constant propagation if enabled and the arguments are Const. These methods return null if propagation is not done. + +Overall, this trait provides a set of methods that can be used to rewrite nodes in a given graph. These methods can be used to optimize the graph and improve the performance of the program. +## Questions: + 1. What is the purpose of the `DefRewriting` trait? +- The `DefRewriting` trait provides methods for rewriting nodes in a given node graph to equivalent nodes using predefined patterns. + +2. What types of nodes can be rewritten using the `rewriteDef` method? +- The `rewriteDef` method can rewrite nodes that match predefined patterns, such as `First`, `Second`, `Tup`, `Convert`, `Apply`, `MethodCall`, `ThunkForce`, `ApplyUnOp`, and `ApplyBinOp`. + +3. What is the purpose of the `propagateUnOp` and `propagateBinOp` methods? +- The `propagateUnOp` and `propagateBinOp` methods perform constant propagation if enabled and the arguments are `Const`. They return `null` if propagation is not done. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Entities.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Entities.md new file mode 100644 index 0000000000..a1979c64a8 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Entities.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Entities.scala) + +The code defines a trait called "Entities" which is a part of the Scalan project. The purpose of this trait is to provide base classes for various descriptors. The "Entities" trait extends another trait called "TypeDescs" and requires that any class that uses it also extends the "Scalan" trait. + +The "Entities" trait defines several abstract classes and traits. The "EntityElem" abstract class is the base class for all descriptors of staged traits. It has a type parameter "A" which represents the type of the staged trait. The "EntityElem" class also has a method called "convert" which takes a reference to a "Def" object and returns a reference to an object of type "A". However, this method is not implemented and throws an exception if called. The "EntityElem" class also has methods for getting the parent type in the inheritance hierarchy and the name of the entity type without the "Elem" suffix. + +The "EntityElem1" abstract class is the base class for all descriptors of staged traits with one type parameter. It extends the "EntityElem" class and has two type parameters: "A" which represents the type of the staged trait, and "To" which represents the type of the staged trait with the type parameter applied. The "EntityElem1" class also has a constructor that takes an "Elem" object representing the type parameter and a "Cont" object representing the container type. The "EntityElem1" class overrides the "getName" method to include the name of the type parameter in the entity name. + +The "ConcreteElem" trait is the base class for all descriptors of staged classes. It extends the "EntityElem" class and has two type parameters: "TData" which represents the data type of the staged class, and "TClass" which represents the type of the staged class. + +The "ConcreteElem1" trait is the base class for all descriptors of staged classes with one type parameter. It extends the "EntityElem1" class and has four type parameters: "A" which represents the type of the staged class, "TData" which represents the data type of the staged class, "TClass" which represents the type of the staged class with the type parameter applied, and "C[_]" which represents the container type. + +The "CompanionElem" abstract class is the base class for all descriptors of staged companions. It extends the "Elem" trait and has a type parameter "T" which represents the type of the staged companion. + +Overall, the purpose of this code is to provide base classes for various descriptors of staged traits and classes in the Scalan project. These base classes can be extended and customized to create specific descriptors for different types of staged traits and classes. For example, a developer could create a descriptor for a specific type of staged trait by extending the "EntityElem" class and providing an implementation for the "convert" method. +## Questions: + 1. What is the purpose of the `Entities` trait and how does it relate to the `TypeDescs` trait? +- The `Entities` trait defines base classes for various descriptors in the Scalan cake, and it requires the `TypeDescs` trait to be mixed in. +2. What is the difference between `EntityElem` and `EntityElem1`? +- `EntityElem` is a base class for all descriptors of staged traits, while `EntityElem1` is a base class for all descriptors of staged traits with one type parameter. +3. What is the purpose of the `CompanionElem` class? +- The `CompanionElem` class is a base class for all descriptors of staged companions. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Exceptions.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Exceptions.md new file mode 100644 index 0000000000..4a761a2c2c --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Exceptions.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Exceptions.scala) + +The code above defines a custom exception class called `DelayInvokeException`. This exception can be thrown within a method body to prevent the body from being unfolded. + +In the context of the larger project, this exception can be used in conjunction with a technique called "staged programming" to optimize code execution. Staged programming involves breaking down a program into smaller, composable parts that can be optimized and executed separately. + +When a method is marked as "staged", its body is not executed immediately. Instead, a graph is constructed that represents the computation to be performed. This graph can then be optimized and executed at a later time. + +The `DelayInvokeException` class allows a method to be marked as staged, but still be executed immediately if necessary. If the method encounters a situation where it cannot be executed immediately, it can throw a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. + +Here is an example of how this exception might be used in a staged method: + +```scala +def stagedMethod(x: Int): Int = { + if (x < 0) { + throw new DelayInvokeException() + } else { + x * 2 + } +} +``` + +In this example, if `x` is negative, the method throws a `DelayInvokeException`. The caller can then catch this exception and reify the invocation as a MethodCall graph node. This allows the computation to be optimized and executed at a later time. + +Overall, the `DelayInvokeException` class plays an important role in enabling staged programming and optimizing code execution in the larger project. +## Questions: + 1. What is the purpose of the DelayInvokeException class? + + The DelayInvokeException class is used to prevent body unfolding in a staged method. When this exception is thrown, the caller can catch it and reify the invocation as a MethodCall graph node. + +2. Why does the fillInStackTrace method override the Throwable class? + + The fillInStackTrace method is overridden in the DelayInvokeException class to avoid spending time on recording the stack trace. + +3. What is the package name for this code? + + The package name for this code is "scalan". \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/GraphIRReflection.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/GraphIRReflection.md new file mode 100644 index 0000000000..2c0c73e0ad --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/GraphIRReflection.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/GraphIRReflection.scala) + +The `GraphIRReflection` object in this code is responsible for registering various classes, methods, and constructors that are part of a larger project. These registrations are used to enable reflection, which allows the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation. + +The code registers classes and their associated methods and constructors using the `registerClassEntry` function. For example, the `wrappers.scala.WOptions#WOption[_]` class is registered with several methods, such as `filter`, `get`, `isDefined`, `getOrElse`, and `map`. Each method registration includes a lambda function that defines the method's behavior when invoked. + +Other classes registered in this file include `TypeDescs#FuncElem[_,_]`, `TypeDescs#PairElem[_,_]`, `Thunks#ThunkElem[_]`, `special.sigma.SigmaDsl#SigmaProp`, `SigmaDsl#BigInt`, `Colls#CollBuilder`, `Colls#Coll[_]`, `SigmaDsl#AvlTree`, `SigmaDsl#Box`, `SigmaDsl#Context`, `SigmaDsl#GroupElement`, `SigmaDsl#Header`, `SigmaDsl#PreHeader`, `SigmaDsl#SigmaDslBuilder`, `WRTypes#WRType[_]`, and several others. + +For example, the `SigmaDsl#BigInt` class is registered with methods like `add`, `max`, `min`, `subtract`, `multiply`, `mod`, and `divide`. These methods are implemented using lambda functions that take the object and arguments as input and perform the corresponding operations. + +In summary, the `GraphIRReflection` object is a central registry for classes, methods, and constructors in the project. It enables reflection capabilities, allowing the program to inspect and interact with its own structure at runtime. This can be useful for tasks such as serialization, code generation, or dynamic method invocation. +## Questions: + 1. **What is the purpose of this code?** + + This code is a part of the Scala project and provides reflection and registration of various classes and methods related to the SigmaDsl, Colls, and other related classes. It helps in registering methods and constructors for these classes, which can be used for dynamic invocation and type checking. + +2. **What is the role of the `registerClassEntry` function?** + + The `registerClassEntry` function is used to register a class along with its methods and constructors. This registration helps in providing a way to dynamically invoke methods and constructors for the registered classes, which can be useful for reflection and type checking purposes. + +3. **Why are there null type casts for `ctx` in some parts of the code?** + + The null type casts for `ctx` are used to indicate that the value of `ctx` is not important at runtime, but its type is important at the type level. This is done to avoid runtime overhead while still providing type information for the Scala compiler to perform type checking and inference. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Library.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Library.md new file mode 100644 index 0000000000..3db71795e1 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Library.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Library.scala) + +The code defines a trait called `Library` that extends several other traits and modules. The purpose of this trait is to provide a set of common functionality and utilities that can be used across the larger project. + +The `Library` trait extends `Scalan`, which is a core trait of the Scalan framework. It also extends `WrappersModule` and `CollsModule`, which provide functionality for working with wrapped types and collections, respectively. + +The trait defines a few type aliases and private variables, as well as a few implicit conversions. One of the implicit conversions is for lifting an `Elem[T]` to a `Ref[WRType[T]]`. This conversion is memoized using a `MemoizedFunc` to improve performance. + +The trait also defines a lazy reference to a `WSpecialPredefCompanionCtor` object, which is used to provide special definitions for certain types and operations. The `specialPredef` method returns this reference. + +The trait overrides the `onReset` method to reset the `_specialPredef` and `_liftElemMemo` variables when the trait is reset. + +The trait defines a few objects that are used for pattern matching and rewriting definitions. These objects are used to apply certain rules to simplify expressions. For example, the `IsNumericToInt` and `IsNumericToLong` objects are used to match certain definitions and extract the argument if it matches the pattern. + +The trait also overrides the `rewriteDef` method to apply certain rules to simplify expressions. For example, it simplifies expressions involving `map`, `length`, and `getOrElse`. + +Finally, the trait overrides the `invokeUnlifted` method to modify method calls for collections. Specifically, it modifies the `map` method call to include the range element type and passes it to the `super` method. + +Overall, the `Library` trait provides a set of common functionality and utilities that can be used across the larger project. It defines a few objects and methods that are used to simplify expressions and modify method calls for collections. +## Questions: + 1. What is the purpose of the `Library` trait and what does it extend? +- The `Library` trait is a trait for a Scalan library and it extends the `Scalan` trait, `WrappersModule`, and `CollsModule`. + +2. What is the purpose of the `liftElem` method and how does it work? +- The `liftElem` method is used to lift an `Elem[T]` to a `Ref[WRType[T]]`. It works by using a memoized function `_liftElemMemo` that takes an `Elem[t]` and returns a lifted `WRType[t]`. + +3. What is the purpose of the `rewriteDef` method and what are some of the rules it implements? +- The `rewriteDef` method is used to rewrite a `Def[T]` expression into a simpler form. Some of the rules it implements include simplifying expressions involving `map`, `length`, and `getOrElse`, and applying the `replicate` rule to `zip` expressions. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MethodCalls.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MethodCalls.md new file mode 100644 index 0000000000..743a5a8934 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MethodCalls.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MethodCalls.scala) + +The `MethodCalls` trait is part of the Scalan framework and provides functionality for creating and invoking method calls in a graph-based representation of computations. The trait defines three case classes: `MethodCall`, `NewObject`, and `InvokeResult`. + +`MethodCall` represents a node in the computation graph that represents the invocation of a method on an object. It contains information about the receiver object, the method being called, the arguments passed to the method, and the type of the result. The `tryInvoke` method attempts to invoke the method on the receiver object and returns an `InvokeResult` object indicating whether the invocation was successful or not. The `mkMethodCall` method creates a new `MethodCall` node and returns its reference. + +`NewObject` represents a node in the computation graph that creates a new object of a given class using the constructor with the specified arguments. The `newObjEx` method creates a new `NewObject` node and returns its reference. + +`InvokeResult` is an abstract class that represents the result of a method invocation. It has three subclasses: `InvokeSuccess`, `InvokeFailure`, and `InvokeImpossible`. `InvokeSuccess` represents a successful invocation with the result value, `InvokeFailure` represents a failed invocation with the exception that was thrown, and `InvokeImpossible` represents an invocation that is not possible, for example, when the receiver object does not implement the method being called. + +The `MethodCalls` trait also defines several helper methods for invoking methods on objects, checking if a method can be invoked on an object, and creating delegate instances for method invocation. It also provides a method for rewriting non-invokable method calls. + +Overall, the `MethodCalls` trait provides a way to represent method calls in a graph-based computation and invoke them in a type-safe manner. It is a key component of the Scalan framework and is used extensively throughout the project. +## Questions: + 1. What is the purpose of the `MethodCalls` trait and how is it used in the project? +- The `MethodCalls` trait defines methods and classes for representing and invoking method calls in the project. It is used as a mixin trait in the `Scalan` trait, which provides a domain-specific language for defining and manipulating data structures and operations. + +2. What is the `MethodCall` case class and what information does it contain? +- The `MethodCall` case class represents a method call on an instance of a class, and contains the receiver node reference, the method descriptor, the argument node references, a flag indicating if the method can never be invoked, the result type descriptor, and a flag indicating if the method call was created by a generated adapter class. + +3. What is the purpose of the `invokeMethod` method and what are its parameters? +- The `invokeMethod` method is a generic helper method for invoking a method on a receiver node with the given arguments. Its parameters are the receiver node reference, the method descriptor, the argument array, and three functions to handle the success, exception, and impossible cases of the method invocation. It checks if the method can be invoked on the receiver node and catches any exceptions thrown during the invocation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/ModuleInfo.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/ModuleInfo.md new file mode 100644 index 0000000000..18b9ce784b --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/ModuleInfo.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/ModuleInfo.scala) + +The code above defines a case class called `ModuleInfo` that contains information about a generated Special library module. This class is used in the generated code and is created to provide information about the module's package name, module name, and file extension. + +The `ModuleInfo` class takes three parameters: `packageName`, `moduleName`, and `extension`. The `packageName` parameter is a string that represents the name of the package that the module belongs to. The `moduleName` parameter is a string that represents the name of the module. The `extension` parameter is an optional string that represents the file extension of the module. By default, the file extension is set to ".scalan". + +The `ModuleInfo` class has three methods: `name`, `getKey`, and `sourceFileName`. The `name` method returns an instance of the `SSymName` class, which is a class that represents a fully qualified name of a symbol. The `getKey` method returns the fully qualified name of the module. The `sourceFileName` method returns the file name of the module's source file. + +This class is used in the generated code to provide information about the module. For example, it can be used to generate code that imports the module or to generate code that references the module's fully qualified name. + +Overall, the `ModuleInfo` class provides a convenient way to store and retrieve information about a generated Special library module. +## Questions: + 1. What is the purpose of the `ModuleInfo` class? + - The `ModuleInfo` class provides information about a generated Special library module, including its package name, module name, and file extension. + +2. What is the `name` property of the `ModuleInfo` class? + - The `name` property is a `SSymName` object that represents the fully qualified name of the module, based on its package and module names. + +3. What is the purpose of the `getKey` and `sourceFileName` methods in the `ModuleInfo` class? + - The `getKey` method returns the fully qualified name of the module as a string, while the `sourceFileName` method returns the file path of the module's source file based on its package and module names. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Modules.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Modules.md new file mode 100644 index 0000000000..4885a20951 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Modules.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Modules.scala) + +The code above is a trait called "Modules" that extends another trait called "Base" and is used in the larger project called "Scalan". The purpose of this trait is to provide functionality related to registering staged modules in the cake initialization process. + +The trait has two methods: "okRegisterModules" and "registerModule". The "okRegisterModules" method returns a boolean value indicating whether staged modules should be registered when the cake is constructed and initialized. The default value is false, but it can be overridden in subclasses. + +The "registerModule" method is called once for each staged module during the cake initialization process. It takes a parameter called "moduleInfo" which contains information about the module being registered. If the "okRegisterModules" method returns true, the module is registered. If it returns false, an exception is thrown with a message indicating that the "registerModule" method needs to be overridden in the subclass. + +This trait can be used in the larger project to provide a way to register staged modules during the cake initialization process. For example, if a new module is added to the project, it can be registered by overriding the "okRegisterModules" method to return true and implementing the "registerModule" method to handle the registration of the new module. + +Here is an example of how this trait can be used: + +```scala +trait MyModule extends Scalan { + override def okRegisterModules: Boolean = true + + override protected def registerModule(moduleInfo: ModuleInfo) = { + // handle registration of MyModule here + } +} +``` + +In this example, a new module called "MyModule" is defined as a subclass of "Scalan". The "okRegisterModules" method is overridden to return true, indicating that modules should be registered during the cake initialization process. The "registerModule" method is also overridden to handle the registration of "MyModule". +## Questions: + 1. What is the purpose of the `Modules` trait? + + The `Modules` trait extends the `Base` trait and provides methods for registering staged modules during cake initialization. + +2. What is the significance of the `okRegisterModules` method? + + The `okRegisterModules` method determines whether staged modules should be registered when the cake is constructed and initialized. + +3. What happens if the `registerModule` method is not overridden in the IR cake? + + If the `registerModule` method is not overridden in the IR cake, an exception will be thrown with a message indicating that the module cannot be registered. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MutableLazy.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MutableLazy.md new file mode 100644 index 0000000000..7c34b5434b --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/MutableLazy.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/MutableLazy.scala) + +The code defines a class called `MutableLazy` which represents a non-thread safe, but efficient on a single thread, immutable lazy value with reset. The class takes a block of code as a parameter which may execute potentially many times, but only once before each reset. The class has three methods: `value`, `isSet`, and `reset`. + +The `value` method returns the value of the lazy block. If the `_isSet` flag is false, the block is executed and the `_value` variable is set to the result of the block. The `_isSet` flag is then set to true. If the `_isSet` flag is true, the `_value` variable is returned. + +The `isSet` method returns the value of the `_isSet` flag. + +The `reset` method sets the `_isSet` flag to false, allowing the block to be executed again the next time `value` is called. + +The `MutableLazy` class has a companion object which defines two methods: `apply` and `mutableLazyToValue`. + +The `apply` method is a factory method that creates a new instance of `MutableLazy` with the given block of code. + +The `mutableLazyToValue` method is an implicit conversion that allows a `MutableLazy` instance to be used as its value type. For example, if `ml` is a `MutableLazy[Int]`, then `ml + 1` will automatically convert `ml` to its value type `Int` before adding 1. + +This class can be used in a larger project to represent lazy values that need to be reset. For example, it could be used to represent a configuration object that is loaded lazily from a file, but can be reset if the file is updated. The `MutableLazy` class provides a simple and efficient way to implement this behavior. +## Questions: + 1. What is the purpose of the `@volatile` keyword in this code? +- The `@volatile` keyword is used to ensure that the `_isSet` variable is always read and written to from main memory, rather than from a thread's cache. + +2. Can the `block` parameter be null? +- Yes, the `block` parameter can be null, but it will throw a `NullPointerException` when accessed. + +3. Is the `MutableLazy` class thread-safe? +- No, the `MutableLazy` class is not thread-safe, as it can potentially execute the `block` multiple times on different threads before setting the `_isSet` flag. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Scalan.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Scalan.md new file mode 100644 index 0000000000..848f6f312c --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/Scalan.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/Scalan.scala) + +The code defines a class called `Scalan` that serves as an aggregate cake with all inter-dependent modules assembled together. The purpose of this class is to provide an independent IR context that can be used to create instances of different types. The class contains several traits that define different operations and functionalities that can be used in the larger project. + +The `Scalan` class is designed using the cake pattern, which allows for the creation of independent instances of the class with different contexts. This means that many instances of the class can be created simultaneously, each with its own independent IR context. The inner types declared in the traits are path-dependent, which means that `ctx1.Ref[_]` and `ctx2.Ref[_]` are different types. + +The typical usage of the `Scalan` class is to create a new instance of the class using `val ctx = new Scalan` and then import inner declarations using `import ctx._`. This way, the declarations will be directly available as if they were global declarations. The cake design pattern also allows for the `override` of many methods and values in classes derived from `Scalan`, which is a significant benefit over the *everything is global* design. + +The `Scalan` class includes several traits that define different operations and functionalities. These traits include `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, `Modules`, and `DefRewriting`. Each of these traits defines a set of methods and functionalities that can be used in the larger project. + +For example, the `NumericOps` trait defines methods for performing arithmetic operations on numeric types, such as `plus`, `minus`, `times`, and `div`. The `IfThenElse` trait defines a method for performing conditional operations, such as `ifThenElse`. The `Transforming` trait defines methods for transforming expressions, such as `rewriteDef`, `rewriteAll`, and `rewriteAllWithContext`. These traits can be mixed in with other classes to provide additional functionality. + +Overall, the `Scalan` class serves as a central component of the larger project, providing a set of inter-dependent modules that can be used to create instances of different types and perform various operations and functionalities. +## Questions: + 1. What is the purpose of the `Scalan` class? + + The `Scalan` class is an aggregate cake with all inter-dependent modules assembled together, containing an independent IR context, and allowing for `override` of methods and values in derived classes. + +2. What are some of the traits that the `Scalan` class extends? + + The `Scalan` class extends traits such as `TypeDescs`, `MethodCalls`, `Tuples`, `NumericOps`, `UnBinOps`, `LogicalOps`, `OrderingOps`, `Equal`, `UniversalOps`, `Functions`, `IfThenElse`, `Transforming`, `Thunks`, `Entities`, and `Modules`. + +3. What is the typical usage of the `Scalan` class? + + The typical usage of the `Scalan` class is to create a new instance of `Scalan` and then import inner declarations using `import ctx._`, making the declarations directly available as if they were global declarations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/SigmaLibrary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/SigmaLibrary.md new file mode 100644 index 0000000000..5f5ccebca6 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/SigmaLibrary.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/SigmaLibrary.scala) + +The code above defines a trait called SigmaLibrary that extends the Library trait and includes two other modules: the WrappersModule and the SigmaDslModule. The purpose of this trait is to provide a library of functions and types for working with the Sigma protocol, which is a cryptographic protocol for secure multi-party computation. + +The SigmaDslModule provides a domain-specific language (DSL) for writing Sigma protocols in a concise and readable way. The WRType object defines a set of types that can be used in the DSL, including AnyElement, which represents any type of element. The wRTypeAnyElement value is an implicit value that provides a default type for elements in the DSL. + +The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to build Sigma protocols using the DSL. This method is used during compilation to represent a global value called Global, which is used in the Sigma protocol. + +Overall, this code provides a foundation for working with the Sigma protocol in a Scala project. It defines a set of types and functions that can be used to build Sigma protocols using a DSL, making it easier to write secure multi-party computations. Here is an example of how this code might be used in a larger project: + +```scala +import scalan.SigmaLibrary + +object MySigmaProtocol extends SigmaLibrary { + def myProtocol = { + val builder = sigmaDslBuilder + import builder._ + val x = anyVar("x", IntType) + val y = anyVar("y", IntType) + val z = anyVar("z", IntType) + val condition = GT(Plus(x, y), z) + compile(condition) + } +} +``` + +In this example, we define a new object that extends the SigmaLibrary trait. We then define a new protocol called myProtocol using the DSL provided by the SigmaLibrary. This protocol defines three variables (x, y, and z) of type IntType and a condition that checks whether the sum of x and y is greater than z. Finally, we compile the condition using the sigmaDslBuilder method and return the resulting Sigma protocol. +## Questions: + 1. What is the purpose of the SigmaLibrary trait? + + The SigmaLibrary trait extends the Library trait and provides additional functionality related to the Sigma protocol, including wrappers and DSL modules. + +2. What is the significance of the WRType import and the wRTypeAnyElement definition? + + The WRType import provides access to the WRType enumeration, which is used to represent types in the Sigma protocol. The wRTypeAnyElement definition creates a lazy implicit value for the WRType of AnyElement. + +3. What is the purpose of the sigmaDslBuilder method? + + The sigmaDslBuilder method returns a reference to a SigmaDslBuilder object, which is used to construct Sigma protocol expressions during compilation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/TypeDescs.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/TypeDescs.md new file mode 100644 index 0000000000..259ae5a151 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/TypeDescs.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/TypeDescs.scala) + +The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework. Type descriptors are used to represent the types of staged values and functions in the Scalan IR. The main classes in this module are `Elem`, `Cont`, and their subclasses. + +`Elem[A]` is an abstract class representing a type descriptor for a staged type `A`. It provides methods for working with type arguments, lifting and unlifting types, and invoking methods on source types. There are several concrete subclasses of `Elem`, such as `BaseElem`, `PairElem`, `SumElem`, and `FuncElem`, which represent different kinds of staged types. + +`Cont[F[_]]` is an abstract class representing a type constructor of kind `* -> *`. It provides methods for lifting and unlifting type descriptors, as well as recognizing type descriptors constructed by the type constructor. The `Functor[F[_]]` trait extends `Cont[F[_]]` and adds a `map` method for mapping over the elements of a container type. + +The module also provides several utility methods and implicit conversions for working with type descriptors. For example, `pairElement`, `sumElement`, and `funcElement` methods create type descriptors for pairs, sums, and functions, respectively. The `toLazyElem` method converts an `Elem[A]` to a lazy `LElem[A]`. The `invokeUnlifted` method is used to invoke a source type method corresponding to a given `MethodCall` node in the Scalan IR. + +In summary, the `TypeDescs` module is an essential part of the Scalan framework, providing the necessary abstractions and utilities for working with type descriptors in the staged computation setting. +## Questions: + 1. **What is the purpose of the `TypeDescs` abstract class?** + + The `TypeDescs` abstract class is used to define various type descriptors and related utility methods for working with types in the Scalan project. It provides type descriptors for primitive types, pair, sum, and function types, as well as type constructors and functors. + +2. **How does the `Elem` abstract class work?** + + The `Elem` abstract class represents a type descriptor for staged types, which correspond to source (unstaged) RTypes defined outside of the IR cake. It provides methods for working with type arguments, lifting and invoking methods on the source type, and checking type compatibility. + +3. **What is the purpose of the `Cont` abstract class?** + + The `Cont` abstract class represents a descriptor of a type constructor of `* -> *` kind. It provides methods for lifting and unlifting type descriptors, recognizing type descriptors constructed by the type constructor, and checking if the type constructor is an instance of the Functor type class. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/SSymName.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/SSymName.md new file mode 100644 index 0000000000..00b3f55773 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/SSymName.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/meta/SSymName.scala) + +The code in this file defines two case classes, ImportItem and SSymName, and an object, SSymName. The ImportItem case class takes a packageName string and a list of importedNames strings as parameters. The SSymName case class takes a packageName string and a name string as parameters. It also has a secondary constructor that takes only a name string and sets the packageName to an empty string. + +The SSymName object contains a constant value, ImportAllWildcard, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, fullNameString, which takes a packageName string and a name string as parameters and returns a string that concatenates the two with a period in between, unless the packageName is null or empty, in which case it just returns the name. + +The SSymName case class also contains a method, isImportedBy, which takes an ImportItem as a parameter and returns a Boolean indicating whether the SSymName instance is imported by the ImportItem. It does this by checking if the packageName of the SSymName matches the packageName of the ImportItem, and if the list of importedNames in the ImportItem contains either the ImportAllWildcard constant or the name of the SSymName instance. + +This code can be used in a larger project that involves importing and using symbols from different packages and namespaces. The ImportItem case class can be used to represent a single import statement, with the packageName representing the package being imported and the importedNames representing the specific symbols being imported. The SSymName case class can be used to represent a symbol name, with the packageName representing the namespace and the name representing the specific symbol. The isImportedBy method can then be used to check if a given symbol is imported by a given import statement. + +Example usage: + +``` +val importItem = ImportItem("scala.collection", List("Seq", "Map")) +val symName = SSymName("scala.collection", "Seq") +val isImported = symName.isImportedBy(importItem) // returns true +``` +## Questions: + 1. What is the purpose of the `SSymName` class and how is it used? + The `SSymName` class represents a symbol name with a package name and a simple name. It is used to construct fully qualified names and check if it is imported by a given `ImportItem`. + +2. What is the purpose of the `ImportItem` case class and how is it used? + The `ImportItem` case class represents an import statement with a package name and a list of imported names. It is used to check if a given `SSymName` is imported by this import statement. + +3. What is the significance of the `ImportAllWildcard` constant in the `SSymName` object? + The `ImportAllWildcard` constant represents the wildcard character used to signify importing all names from a namespace. It is used in the `isImportedBy` method of `SSymName` to check if a given `ImportItem` imports all names from the same package. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/summary.md new file mode 100644 index 0000000000..47d231a75b --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/meta/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta) + +The `SSymName.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/meta` folder defines two case classes, `ImportItem` and `SSymName`, and an object, `SSymName`. These classes and object are used to represent and manage the importing of symbols from different packages and namespaces in a larger project. + +The `ImportItem` case class represents a single import statement, with a `packageName` string parameter representing the package being imported and a `List` of `importedNames` strings representing the specific symbols being imported. For example: + +```scala +val importItem = ImportItem("scala.collection", List("Seq", "Map")) +``` + +The `SSymName` case class represents a symbol name, with a `packageName` string parameter representing the namespace and a `name` string parameter representing the specific symbol. It also has a secondary constructor that takes only a `name` string and sets the `packageName` to an empty string. For example: + +```scala +val symName = SSymName("scala.collection", "Seq") +``` + +The `SSymName` object contains a constant value, `ImportAllWildcard`, which is a wildcard character used to signify importing all names from a namespace. It also contains a method, `fullNameString`, which takes a `packageName` string and a `name` string as parameters and returns a string that concatenates the two with a period in between, unless the `packageName` is null or empty, in which case it just returns the `name`. + +The `SSymName` case class also contains a method, `isImportedBy`, which takes an `ImportItem` as a parameter and returns a Boolean indicating whether the `SSymName` instance is imported by the `ImportItem`. It does this by checking if the `packageName` of the `SSymName` matches the `packageName` of the `ImportItem`, and if the list of `importedNames` in the `ImportItem` contains either the `ImportAllWildcard` constant or the `name` of the `SSymName` instance. For example: + +```scala +val isImported = symName.isImportedBy(importItem) // returns true +``` + +In a larger project, the `ImportItem` and `SSymName` case classes can be used to manage the importing and usage of symbols from different packages and namespaces. The `isImportedBy` method can be used to check if a given symbol is imported by a given import statement, which can be useful for ensuring that the correct symbols are being imported and used in the project. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Equal.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Equal.md new file mode 100644 index 0000000000..4328172719 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Equal.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Equal.scala) + +The code above is a part of the Scalan project and defines the Equal trait. The purpose of this trait is to provide binary operations for structural equality and inequality between arguments. The trait contains two case classes, Equals and NotEquals, which represent the binary operations for equality and inequality, respectively. Both case classes extend the BinOp class, which takes two arguments of type A and returns a Boolean value. The applySeq method is overridden in both case classes to call the equalValues method, which checks if the two arguments are equal or not. + +The equalValues method is a protected method that takes two arguments of type Any and an implicit parameter of type Elem[A]. This method checks if the two arguments are equal by comparing them using the == operator. The implicit parameter is used to provide the type information for the arguments. + +The trait also contains an implicit class, EqualOps, which provides extension methods to construct ApplyBinOp nodes. The extension methods are === and !==, which apply the Equals and NotEquals binary operations, respectively, and return a Ref[Boolean] to the ApplyBinOp node. + +This code can be used in the larger project to provide a way to check for structural equality and inequality between arguments. The Equals and NotEquals binary operations can be used to compare any two arguments of the same type, and the extension methods provide a convenient way to construct ApplyBinOp nodes. For example, if we have two variables of type Int, we can use the === and !== operators to compare them: + +``` +val x = 1 +val y = 2 +val z = 1 +val equal = x === z // true +val notEqual = x !== y // true +``` +## Questions: + 1. What is the purpose of this code? +- This code defines a trait `Equal` that provides binary operations for structural equality and inequality between arguments, as well as extension methods to construct ApplyBinOp nodes. + +2. What is the significance of the `implicit` keyword in this code? +- The `implicit` keyword is used to define an implicit conversion method that allows a `Ref[A]` to be converted to an `EqualOps[A]` object, which provides the `===` and `!==` methods. + +3. What is the role of the `Base` and `Scalan` traits in this code? +- The `Base` and `Scalan` traits are dependencies of the `Equal` trait, and are used to provide additional functionality and type information needed for the binary operations and extension methods defined in `Equal`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Functions.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Functions.md new file mode 100644 index 0000000000..ebba815e1f --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Functions.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Functions.scala) + +This code is part of the Scalan project and defines the `Functions` trait, which provides functionality for working with functions in the Scalan framework. The trait extends `Base` and `ProgramGraphs` traits and is mixed into the `Scalan` trait. + +The `Functions` trait provides several utility classes and methods for working with functions, such as `LambdaOps`, `Lambda`, `Apply`, and `FuncExtensions`. It also provides methods for creating, applying, and composing functions, such as `mkLambda`, `mkApply`, `compose`, and `identityFun`. + +`LambdaOps` is an implicit class that provides additional operations for functions, such as `apply`, `>>`, and `<<`. The `Lambda` class represents a lambda expression as an IR node, and it provides methods for working with lambda expressions, such as `isIdentity`, `isBoundVar`, and `getDeps`. + +The trait also provides several global flags that control the behavior of lambda expressions, such as `useAlphaEquality`, `keepOriginalFunc`, and `unfoldWithOriginalFunc`. These flags can be used to customize the behavior of lambda expressions in the Scalan framework. + +The `Functions` trait also provides several utility methods for working with lambda expressions, such as `alphaEqual`, `patternMatch`, `matchExps`, `matchDefs`, `matchIterators`, and `matchAny`. These methods are used for comparing and matching lambda expressions in the Scalan framework. + +In summary, the `Functions` trait provides a comprehensive set of tools for working with functions in the Scalan framework. It allows users to create, apply, and compose functions, as well as customize the behavior of lambda expressions. +## Questions: + 1. **What is the purpose of the `useAlphaEquality` variable?** + + The `useAlphaEquality` variable is a global flag that determines the default lambda equality mode used by the `fun` and `fun2` lambda builders. If set to `true`, Lambda nodes are considered equal if they are the same up to renaming of symbols (see `Lambda.equals()`). Each Lambda node has an independent equality mode flag which is set up in the constructor. + +2. **What does the `keepOriginalFunc` variable do?** + + The `keepOriginalFunc` variable is a global flag that governs lambda reification in the `fun` and `mkLambda` methods. If set to `true`, the original `f: Ref[A] => Ref[B]` function is stored in the Lambda node. As a consequence, if `f` is not stored, then `unfoldLambda` is done by `mirrorLambda`. + +3. **What is the purpose of the `unfoldWithOriginalFunc` variable?** + + The `unfoldWithOriginalFunc` variable is a global flag that controls whether lambda unfolding should use the original function `f` stored in the Lambda node. If set to `false`, this function cannot be used even if it is present in the node. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/IfThenElse.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/IfThenElse.md new file mode 100644 index 0000000000..c76855da37 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/IfThenElse.md @@ -0,0 +1,43 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/IfThenElse.scala) + +The code defines the IfThenElse trait which provides a way to construct an if-then-else statement with lazy evaluation of branches. The trait extends the Base trait and requires a Scalan trait to be mixed in. + +The main method provided by the trait is IF, which takes a boolean condition and returns an IfBranch object. The IfBranch object provides the syntax for defining the then and else branches of the if-then-else statement. The THEN method takes a by-name parameter representing the then branch and returns a ThenIfBranch object. The ThenIfBranch object provides the syntax for defining the else branch of the if-then-else statement. The ELSE method takes a by-name parameter representing the else branch and returns a reference to the result of the if-then-else statement. + +The trait also defines the IfThenElseLazy case class which represents the IR node for the if-then-else statement with lazy evaluation of branches. The case class takes a boolean condition and two Thunk objects representing the then and else branches. The Thunk objects are constructed using the Thunk method which takes a by-name parameter and returns a reference to a ThunkDef object. + +The ifThenElseLazy method constructs an IfThenElseLazy object by wrapping the by-name parameters for the then and else branches in ThunkDef objects. The method returns a reference to the result of the if-then-else statement. + +Overall, this code provides a way to construct an if-then-else statement with lazy evaluation of branches. This can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. The code can be used in the larger project to provide a more efficient and flexible way to handle conditional logic. + +Example usage: + +``` +val x = 5 +val y = 10 +val z = if (x > y) { + "x is greater than y" +} else { + "y is greater than x" +} +``` + +can be written using the IfThenElse trait as: + +``` +val x = 5 +val y = 10 +val z = IF(x > y).THEN("x is greater than y").ELSE("y is greater than x") +``` +## Questions: + 1. What is the purpose of the `IfThenElse` trait and how is it used in the project? + + The `IfThenElse` trait defines methods and classes for constructing if-then-else expressions with lazy evaluation of branches. It is used in the project to provide a convenient syntax for constructing such expressions. + +2. What is the difference between `THEN` and `ELSE` methods in the `ThenIfBranch` class? + + The `THEN` method is used to specify the "then" branch of the if-then-else expression, while the `ELSE` method is used to specify the "else" branch. The `ELSE` method returns the result of the if-then-else expression. + +3. What is the purpose of the `IfThenElseLazy` case class and how is it used in the `ifThenElseLazy` method? + + The `IfThenElseLazy` case class represents an if-then-else expression with lazy evaluation of branches. It is used in the `ifThenElseLazy` method to construct an IR node that wraps the "then" and "else" branches in `ThunkDef` nodes, which are evaluated lazily. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/LogicalOps.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/LogicalOps.md new file mode 100644 index 0000000000..d47af071bf --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/LogicalOps.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/LogicalOps.scala) + +The `LogicalOps` trait is a part of the Scalan project and provides definitions for logical operations in Scala. The trait extends the `Base` trait and requires the `Scalan` trait to be mixed in. The trait defines several logical operations, including AND, OR, NOT, and XOR, as well as a Boolean to Int conversion operation. + +The `And`, `Or`, `Not`, and `BinaryXorOp` operations are defined as instances of the `EndoBinOp` and `EndoUnOp` classes, which represent endomorphic binary and unary operations, respectively. These operations are defined using the `applySeq` method, which takes two or one Boolean arguments and returns the result of the logical operation. + +The `BooleanToInt` operation is defined as an instance of the `UnOp` class, which represents a unary operation that takes a Boolean argument and returns an Int. The `applySeq` method of this operation returns 1 if the Boolean argument is true and 0 otherwise. + +The `RepBooleanOps` class provides extension methods for `Ref[Boolean]`, which is a reference to a Boolean value. These methods allow for the use of the logical operations defined in the `LogicalOps` trait on `Ref[Boolean]` values. For example, the `&&` method takes a `Ref[Boolean]` argument and returns the result of the AND operation between the `Ref[Boolean]` value and the argument. + +The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. It takes four functions as arguments: `ifTrue`, `ifFalse`, `ifEqual`, and `ifNegated`. These functions are called with a `Sym` argument, which represents a symbolic expression, and return a `Sym` that represents the result of the rewriting rule. The method checks the structure of the `lhs` and `rhs` arguments and applies the appropriate rewriting rule based on the structure. + +Overall, the `LogicalOps` trait provides a set of logical operations that can be used in the larger Scalan project. The `RepBooleanOps` class provides extension methods that allow for the use of these operations on `Ref[Boolean]` values. The `rewriteBoolConsts` method is a helper method that defines rewriting rules with boolean constants. +## Questions: + 1. What is the purpose of the `LogicalOps` trait? +- The `LogicalOps` trait defines logical operations such as AND, OR, NOT, XOR, and Boolean to Int conversion. + +2. What is the difference between `And` and `Or`? +- `And` is a logical AND binary operation, while `Or` is a logical OR binary operation. + +3. What is the purpose of the `lazy_&&` and `lazy_||` methods in `RepBooleanOps`? +- The `lazy_&&` and `lazy_||` methods apply the AND and OR operations lazily, using a `Thunk[Boolean]` parameter instead of a `Boolean` parameter. This can be useful for performance optimization in certain situations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/NumericOps.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/NumericOps.md new file mode 100644 index 0000000000..e9818c7983 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/NumericOps.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/NumericOps.scala) + +The `NumericOps` trait defines extension methods and descriptors for numeric operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. The purpose of this code is to provide a set of common numeric operations that can be used across the project. + +The `NumericOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric`. These methods include addition, subtraction, multiplication, unary negation, and conversion to `Int` and `Long`. These methods are implemented using descriptors defined in the trait. For example, the `+` method is implemented using the `NumericPlus` descriptor, which takes an instance of `ExactNumeric[T]` and returns an `EndoBinOp[T]` that applies the `plus` method of the `ExactNumeric` instance to its arguments. + +The `IntegralOpsCls` class defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral`. These methods include division, modulo, and an alternative division operator `/!`. These methods are implemented using descriptors defined in the trait. For example, the `div` method is implemented using the `IntegralDivide` descriptor, which takes an instance of `ExactIntegral[T]` and returns a `DivOp[T]` that applies the `quot` method of the `ExactIntegral` instance to its arguments. + +The `numeric` and `integral` methods return instances of `ExactNumeric[T]` and `ExactIntegral[T]`, respectively, for a given type `T`. These methods are implemented using the `implicitly` keyword to retrieve the appropriate type-class instance for `T`. + +The descriptors for binary operations (`NumericPlus`, `NumericMinus`, `NumericTimes`, `IntegralDivide`, and `IntegralMod`) are defined as case classes that extend `EndoBinOp[T]` or `DivOp[T]`. These descriptors take an instance of `ExactNumeric[T]` or `ExactIntegral[T]` and return a function that applies the appropriate method of the type-class instance to its arguments. + +The `NumericNegate`, `NumericToInt`, and `NumericToLong` descriptors are defined as case classes that extend `UnOp[T, R]`. These descriptors take an instance of `ExactNumeric[T]` and return a function that applies the appropriate method of the type-class instance to its argument. + +Finally, the `isZero` and `isOne` methods are defined as inline functions that compare a given value with the zero or one of an instance of `ExactNumeric[T]`. + +Overall, this code provides a set of common numeric operations that can be used across the project, making it easier to write and maintain code that involves numeric calculations. For example, if a function needs to perform a division operation on a type that implements `ExactIntegral`, it can simply call the `div` method on a `Ref[T]` instance, rather than having to write its own division logic. +## Questions: + 1. What is the purpose of the `NumericOps` trait? +- The `NumericOps` trait defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` or `ExactIntegral` type-class, and provides descriptors for various numeric operations. + +2. What is the difference between `NumericOpsCls` and `IntegralOpsCls`? +- `NumericOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactNumeric` type-class, while `IntegralOpsCls` defines extension methods for `Ref[T]` where `T` is an instance of `ExactIntegral` type-class. + +3. What is the purpose of the `isZero` and `isOne` methods? +- The `isZero` and `isOne` methods are utility methods that compare a given value with zero or one of the given `ExactNumeric` instance, respectively. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/OrderingOps.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/OrderingOps.md new file mode 100644 index 0000000000..7dbe9f8736 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/OrderingOps.md @@ -0,0 +1,43 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/OrderingOps.scala) + +The code defines a trait called `OrderingOps` which provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. The trait is designed to be mixed in with other traits or classes that require comparison operations. + +The `OrderingOps` trait defines several implicit conversions that allow instances of `Ref[T]` and `T` to be converted to `OrderingOpsCls[T]`. The `OrderingOpsCls[T]` class provides the extension methods for comparison operations such as `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. + +The `OrderingLT`, `OrderingLTEQ`, `OrderingGT`, `OrderingGTEQ`, `OrderingMax`, `OrderingMin`, and `OrderingCompare` classes are descriptors for the binary operations `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`, respectively. These classes extend the `BinOp` class which is a binary operation descriptor that takes two arguments of type `T` and returns a result of type `R`. The `applySeq` method is overridden in each of these classes to apply the corresponding comparison operation using the `ExactOrdering` instance for type `T`. + +Overall, this code provides a convenient way to perform comparison operations on types that have an instance of `ExactOrdering`. It can be used in conjunction with other traits or classes that require comparison operations, such as sorting algorithms or data structures that rely on ordering. + +Example usage: + +```scala +import scalan.primitives.OrderingOps + +case class Person(name: String, age: Int) + +object PersonImplicits { + implicit val personOrdering: ExactOrdering[Person] = new ExactOrdering[Person] { + override def compare(x: Person, y: Person): Int = x.age.compareTo(y.age) + } +} + +object Main extends OrderingOps { + import PersonImplicits._ + + val alice = Person("Alice", 25) + val bob = Person("Bob", 30) + + val isAliceYounger = alice < bob // true + val isBobOlderOrEqual = bob >= alice // true + val olderPerson = alice.max(bob) // Person("Bob", 30) +} +``` +## Questions: + 1. What is the purpose of this code? +- This code defines extension methods and descriptors for comparison operations in Scala. + +2. What is the role of the `ExactOrdering` type? +- The `ExactOrdering` type is used to provide type-safe comparison operations for the generic type `T`. + +3. What are some of the available comparison operations provided by this code? +- The available comparison operations include `<`, `<=`, `>`, `>=`, `max`, `min`, and `compare`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Thunks.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Thunks.md new file mode 100644 index 0000000000..2cb57745dd --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Thunks.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Thunks.scala) + +The code defines a trait `Thunks` which is part of the Scalan framework. Thunks are used to represent lazy operations in the graph IR. The trait provides the definition of Thunk operations and related classes and methods. + +The main components of the trait are: + +- `Thunk[A]`: A phantom type representing a thunk of type A. Thunks are usually used inside `Ref`, for example, `Th[T]`. +- `ThunkCompanion`: A class to create new Thunks using `Thunk { ... }` expressions. +- `RepThunkOps[T]`: An implicit class providing extension methods on `Ref[Thunk[T]]` values, such as `force()`, `map()`, and `map1()`. +- `Cont[Thunk]`: An implicit instance of the container type class `Cont` for `Thunk`. +- `ThunkElem[A]`: A class implementing a type descriptor of `Thunk[A]` type given the instance of `A`. +- `ThunkDef[A]`: A class representing a thunk with a reified body. Each thunk node is a specialized implementation of the `AstGraph` abstract class. +- `ThunkStack`: A class representing the stack of nested thunks during graph construction. +- `ThunkScope`: A helper object to handle the construction of nested thunks. + +The trait provides several methods for creating, mapping, and forcing thunks: + +- `thunk_create[A](block: => Ref[A])`: Creates a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. +- `thunk_map[A, B](t: Th[A], f: Ref[A => B])`: Creates a new thunk which, when forced, forces `t` and then maps the resulting value using `f`. +- `thunk_map1[A, B](t: Th[A], f: Ref[A] => Ref[B])`: Similar to `thunk_map`, but with a Scala function `f` which is always inlined (staged) into the new thunk body. +- `thunk_force[A](t: Th[A])`: Forces the evaluation of the thunk to produce the delayed value. + +The code also provides some utility methods and classes for working with thunks, such as `forceThunkByMirror`, `ThunkForce`, and `ConstantThunk`. +## Questions: + 1. **Question**: What is the purpose of the `Thunk` trait and how is it used in the code? + **Answer**: The `Thunk` trait represents lazy operations in the graph IR. It is used to define thunk-typed graph nodes and thunk-based lazy operations. It is usually used inside `Ref`, for example, `Th`. + +2. **Question**: How does the `thunk_create` function work and when should it be used? + **Answer**: The `thunk_create` function constructs a new thunk node by executing the given `block` and collecting all the graph nodes created along the way. It is used to create a new thunk with a reified body, which can be later forced to produce the delayed value. + +3. **Question**: What is the purpose of the `ThunkStack` class and how is it used in the code? + **Answer**: The `ThunkStack` class represents the stack of nested thunks during graph construction. It is used to manage the stack of `ThunkScope` instances, which helps in handling the construction of nested thunks and their corresponding scopes. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Tuples.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Tuples.md new file mode 100644 index 0000000000..b62cab2597 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/Tuples.md @@ -0,0 +1,40 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/Tuples.scala) + +The code defines a set of operations and implicit conversions for working with tuples in the Scalan framework. The `Tuples` trait is mixed into the `Base` trait and requires a reference to the `Scalan` trait. + +The `Pair` object provides a way to create a tuple of two values, and the `IsPair` object provides a way to check if a given `Sym` is a pair. The `ListOps` class provides a way to access the first and second elements of a pair, while the `TupleOps` classes provide a way to access the first through fifth elements of a pair. + +The `unzipPair` function takes a pair and returns a tuple of its two elements. If the pair is not a `Tup` node, it checks if the pair element is a `PairElem` and returns the first and second elements of the pair. If the `cachePairs` flag is set to true, it caches the result in a hash map to avoid recomputing it. The `zipPair` function takes a tuple of two values and returns a pair. + +The `Tup` case class represents a pair of two values and is used by the `zipPair` function. The `First` and `Second` case classes represent the first and second elements of a pair, respectively, and are used by the `unzipPair` function. + +Overall, this code provides a convenient way to work with tuples in the Scalan framework. It can be used in conjunction with other Scalan modules to build complex data structures and algorithms. + +Example usage: + +``` +import scalan._ +import scalan.primitives.Tuples + +trait MyModule extends Scalan with Tuples { + def myFunction[A, B](a: Ref[A], b: Ref[B]): Ref[(A, B)] = { + val pair = Pair(a, b) + val first = pair.head + val second = pair.tail + val tuple = (first, second) + tuple + } +} +``` +## Questions: + 1. What is the purpose of the `Tuples` trait and what does it provide? + + The `Tuples` trait provides implicit classes and objects for working with tuples in the `Scalan` framework. It provides methods for creating and destructuring tuples, as well as implicit conversions for working with tuples as lists. + +2. What is the purpose of the `zipPair` and `unzipPair` methods? + + The `zipPair` method creates a tuple from two references, while the `unzipPair` method destructures a tuple into two references. These methods are used to create and manipulate tuples in the `Scalan` framework. + +3. What is the purpose of the `tuplesCache` variable and when is it used? + + The `tuplesCache` variable is a cache for storing pairs of references. It is used to improve performance when working with tuples by avoiding the need to create new references for the same pairs of values. The cache is only used if the `cachePairs` flag is set to true. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UnBinOps.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UnBinOps.md new file mode 100644 index 0000000000..f63ce65cfd --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UnBinOps.md @@ -0,0 +1,47 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UnBinOps.scala) + +The code defines a set of traits and classes for unary and binary operations on data types in the Scalan framework. The purpose of this code is to provide a way to define and execute operations on data types in a graph-based computation framework. + +The `UnBinOps` trait defines two abstract classes: `UnOp` and `BinOp`, which are base classes for descriptors of unary and binary operations, respectively. These classes define the name of the operation and the type of the result. The `UnOp` class has a single abstract method `applySeq` which is called during graph interpretation to execute the operation on a given argument. The `BinOp` class has a similar method `applySeq` which takes two arguments. + +The `UnBinOps` trait also defines three case classes: `ApplyUnOp`, `ApplyBinOp`, and `ApplyBinOpLazy`, which represent graph nodes for applying unary and binary operations to arguments. These classes take an instance of `UnOp` or `BinOp` and one or more arguments, and are used to build a graph of operations. + +The trait also defines three methods: `applyUnOp`, `applyBinOp`, and `applyBinOpLazy`, which are used to construct graph nodes for applying operations to arguments. These methods take an instance of `UnOp` or `BinOp` and one or more arguments, and return a reference to the resulting graph node. + +Overall, this code provides a way to define and execute unary and binary operations on data types in a graph-based computation framework. It can be used as a building block for more complex computations in the larger Scalan project. + +Example usage: + +```scala +import scalan._ +import scalan.primitives._ + +trait MyProg extends Scalan with UnBinOps { + val double = new UnOp[Int, Int]("double") { + def applySeq(x: Int) = x * 2 + } + + val add = new BinOp[Int, Int]("add") { + def applySeq(x: Int, y: Int) = x + y + } + + def test = { + val x = 10 + val y = 20 + val z = 30 + val res = add(double(x), add(y, z)) + res + } +} +``` + +In this example, we define two operations: `double` which doubles an integer, and `add` which adds two integers. We then use these operations to compute `res` which is the result of adding `x` doubled to the sum of `y` and `z`. The `apply` and `applyLazy` methods are used to construct graph nodes for applying the operations to their arguments. +## Questions: + 1. What is the purpose of the `UnBinOps` trait and how does it relate to the `Scalan` and `Base` traits? +- The `UnBinOps` trait defines abstract classes and methods for unary and binary operations, and extends the `Base` trait. It also requires the `Scalan` trait to be mixed in, indicating that it is part of a larger project or framework. + +2. What is the difference between `applySeq` and `applyLazy` methods in the `BinOp` abstract class? +- The `applySeq` method takes two arguments and applies the binary operation to them immediately, while the `applyLazy` method takes a `Ref[Thunk[A]]` as the second argument, indicating that the second argument is lazily evaluated. + +3. What is the purpose of the `shouldPropagate` method in the `UnOp` and `BinOp` abstract classes? +- The `shouldPropagate` method determines whether constants should be propagated through the operation by rewriting. By default, it returns `true`, but can be overridden in subclasses to change this behavior. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UniversalOps.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UniversalOps.md new file mode 100644 index 0000000000..34bea66c87 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/UniversalOps.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/primitives/UniversalOps.scala) + +The `UniversalOps` trait defines a set of universal operations that can be applied to any type in the Scalan framework. The trait extends the `Base` trait and requires a `Scalan` instance to be mixed in. + +The first two case classes, `HashCode` and `ToString`, define the `hashCode` and `toString` operations respectively. These operations take a value of type `A` and return an `Int` and a `String` respectively. These operations are defined as `UnOp`s, which are unary operations that take a single argument. + +The `SizeOf` case class represents the calculation of the size in bytes of a given value. The `value` parameter is of type `Ref[T]`, which is a reference to a value of type `T`. The `transform` method is used to transform the `SizeOf` node during the graph transformation phase. The `sizeOf` method is a convenience method that returns a `Ref[Long]` representing the size of the given value. + +The `OpCost` case class represents the accumulation of the operation costs. It is used to avoid the problem of node sharing, where the cost of a node is accumulated multiple times. The `lambdaVar` parameter is the variable of the lambda in which scope this node is created. The `costedValueId` parameter is the id of the node for which this node represents cost. The `args` parameter is a sequence of costs of the arguments, which represent dependency information. The `opCost` parameter is the operation cost, which should be added to the current scope accumulated cost. The `opCost` method is a convenience method that returns a `Ref[Int]` representing the operation cost. + +The `assertValueIdForOpCost` method is used to assert that the value node id is equal to `OpCost.costedValueId`. + +The `Downcast` and `Upcast` case classes represent the downcasting and upcasting of values respectively. The `downcast` and `upcast` methods are convenience methods that return a `Ref[To]` representing the downcasted or upcasted value. + +The `RepUniversalOps` class defines two implicit methods, `hashCodeRep` and `toStringRep`, that can be called on any `Ref[A]` to get the `hashCode` and `toString` of the value respectively. + +The `Convert` case class represents the conversion of a value from one type to another. The `eFrom` parameter is the element of the original type, the `eTo` parameter is the element of the target type, the `x` parameter is the reference to the original value, and the `conv` parameter is the conversion function. The `tryConvert` method is a convenience method that tries to convert the value from the original type to the target type using the conversion function. If the original type is a subtype of the target type, the conversion is performed directly. Otherwise, a `Convert` node is created to represent the conversion. +## Questions: + 1. What is the purpose of the `OpCost` case class and how is it used? +- The `OpCost` case class represents the accumulation of operation costs and is used to avoid the problem of node sharing during evaluation. It requires special handling during evaluation and is created using the `opCost` method. +2. What is the difference between `Downcast` and `Upcast` case classes? +- The `Downcast` case class is used to cast a reference to a subtype, while the `Upcast` case class is used to cast a reference to a supertype. Both are used to change the type of a reference. +3. What is the purpose of the `assertValueIdForOpCost` method? +- The `assertValueIdForOpCost` method is used to ensure that the `value` and `cost` parameters have the same node ID. It is used to check that the `cost` parameter is actually an `OpCost` node and that it corresponds to the correct `value` node. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/summary.md new file mode 100644 index 0000000000..34be18a96f --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/primitives/summary.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives) + +The `.autodoc/docs/json/graph-ir/src/main/scala/scalan/primitives` folder contains a collection of traits and classes that define various operations and utilities for working with data types and functions in the Scalan framework. These operations include numeric, logical, comparison, and universal operations, as well as support for tuples, thunks, and if-then-else statements with lazy evaluation. + +For example, the `NumericOps` trait provides extension methods for performing arithmetic operations on types that implement the `ExactNumeric` and `ExactIntegral` type-classes. This allows developers to easily perform calculations on numeric types without having to write their own logic. Similarly, the `OrderingOps` trait provides extension methods for comparison operations on types that have an instance of `ExactOrdering`. + +The `Functions` trait provides functionality for working with functions in the Scalan framework, such as creating, applying, and composing functions. It also provides utility methods for comparing and matching lambda expressions. This can be useful when building complex data structures and algorithms that rely on functions. + +The `IfThenElse` trait provides a way to construct if-then-else statements with lazy evaluation of branches, which can be useful in situations where the evaluation of the branches is expensive or may not be necessary depending on the value of the condition. + +The `Thunks` trait provides support for lazy operations in the graph IR, allowing developers to create, map, and force thunks. This can be useful for optimizing performance in certain situations. + +Here's an example of how some of these traits can be used together: + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/AstGraphs.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/AstGraphs.md new file mode 100644 index 0000000000..dd13ea7178 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/AstGraphs.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/AstGraphs.scala) + +The code defines a trait called AstGraphs that provides functionality for working with directed acyclic graphs (DAGs) of nodes. The trait extends another trait called Transforming and requires that it be mixed in with a class called Scalan. + +The AstGraphs trait defines several classes and types that are used to represent and manipulate DAGs. The most important of these is the AstGraph class, which is an abstract class that represents a compound node in the DAG. A compound node is a node that has a schedule, which is a topologically ordered sequence of nodes in the DAG. The AstGraph class has several methods and fields that are used to manipulate and query the schedule and other properties of the node. + +The AstGraph class has several subclasses, including Lambda and ThunkDef, which represent lambda abstractions and thunk definitions, respectively. These subclasses provide additional functionality for working with compound nodes. + +The AstGraphs trait also defines several other classes and types that are used to represent and manipulate DAGs. These include GraphNode, which represents a node in the DAG and its links to other nodes, and Schedule and ScheduleIds, which represent schedules of nodes in the DAG. + +The code also defines several methods that are used to manipulate and query the DAG. These include methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG. + +Overall, the AstGraphs trait provides a powerful set of tools for working with DAGs of nodes in a functional programming context. It can be used to represent and manipulate complex data structures and algorithms, and can be integrated into larger projects to provide a high-level view of the structure and behavior of the code. +## Questions: + 1. What is the purpose of the `AstGraphs` trait and how does it relate to the `Transforming` trait? +- The `AstGraphs` trait defines classes and methods for working with directed acyclic graphs (DAGs) of computation nodes, which are used to represent compound definitions in the Scalan language. It extends the `Transforming` trait, which provides methods for transforming and optimizing these graphs. + +2. What is the difference between `Schedule` and `ScheduleIds` in the `AstGraph` class? +- `Schedule` is a sequence of `Sym` objects that represent the topologically ordered sequence of nodes in the graph, while `ScheduleIds` is a `DBuffer` of integer node ids that provides an alternative representation of the same sequence. + +3. What is the purpose of the `usageMap` and `allNodes` methods in the `AstGraph` class? +- `usageMap` builds a map of `GraphNode` objects that represent the usage information for each symbol in the graph, including the symbols that are used by each symbol and the symbols that use each symbol. `allNodes` builds a similar map for all symbols in the graph, including those that are not part of the topologically ordered sequence. These methods are used to analyze and optimize the graph, for example to identify symbols that can be eliminated or shared between different parts of the graph. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.md new file mode 100644 index 0000000000..b44f8bc8fc --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/ProgramGraphs.scala) + +The code provided is a part of a larger project and defines a trait called `ProgramGraphs`. This trait extends another trait called `AstGraphs` and is used to represent program graphs. Program graphs are used to represent the control flow of a program and are constructed from a set of root symbols. The purpose of this code is to provide functionality for constructing and manipulating program graphs. + +The `ProgramGraphs` trait defines a type called `PGraph`, which is an alias for `ProgramGraph`. It also defines two classes called `PGraphUsages` and `ProgramGraph`. The `PGraphUsages` class is a deboxed function that computes the usages of a given node in a graph. The `ProgramGraph` class is an immutable graph that is collected from `roots` following `Ref.node.deps` links. It takes in a set of root symbols and a filter function that can be used to filter out certain nodes from the graph. The `ProgramGraph` class also provides functionality for mirroring all the nodes of the graph, applying a rewriter, and performing rewriting. + +The `ProgramGraphs` trait also defines an object called `ProgramGraph`. This object provides a method called `transform` that takes in a `Ref` and returns a new `Ref` that has been transformed using a `Rewriter` and a `MapTransformer`. The `transform` method uses the `ProgramGraph` class to construct a program graph from the root symbol and then applies the provided `Rewriter` and `MapTransformer` to the graph. + +Overall, the `ProgramGraphs` trait provides functionality for constructing and manipulating program graphs. It can be used in the larger project to represent the control flow of a program and to perform transformations on the program graph. Below is an example of how the `ProgramGraph` object can be used to transform a `Ref`: + +``` +val s: Ref[Int] = ... +val rw: Rewriter = ... +val t: MapTransformer = ... +val transformedS = ProgramGraph.transform(s, rw, t) +``` +## Questions: + 1. What is the purpose of the `PGraphUsages` class? +- The `PGraphUsages` class is a deboxed function that computes the usages of a given node in the reversed graph `g`. + +2. What is the difference between `ProgramGraph` constructors? +- The `ProgramGraph` class has three constructors: one that takes a sequence of `Sym` roots and a `Nullable` transformer and filter node, one that takes a sequence of `Sym` roots and a `Nullable` filter node, and one that takes a single `Sym` root. The difference between them is the presence or absence of a transformer and filter node. + +3. What is the purpose of the `transform` method in the `ProgramGraph` class? +- The `transform` method mirrors all the nodes of the graph using a given mirror instance and transformer, and performs rewriting using a given rewriter. It returns a new graph that is semantically equivalent to the original graph, but may not be a clone of it. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/Transforming.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/Transforming.md new file mode 100644 index 0000000000..b220c2e80f --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/Transforming.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/staged/Transforming.scala) + +The code defines a set of traits and classes that are used in the Scalan project for compiler passes, graph transformations, and graph mirroring. The main purpose of this code is to provide a framework for defining and executing compiler passes on a graph of computations. + +The `Pass` trait defines a compiler pass, which has a name, configuration parameters, and finalization logic. The `PassConfig` case class defines the configuration parameters for a pass, such as whether to specialize tuple types or turn on constant propagation. The `DefaultPass` class is a concrete implementation of the `Pass` trait that can be used as a default pass when no other pass is specified. + +The `Transformer` trait defines a graph transformation that maps nodes in a graph to new nodes. The `Rewriter` trait defines a set of rewriting rules that can be applied to a graph. The `Mirror` trait defines a mirror of a graph node, which provides default implementations for mirroring variables, lambdas, and thunks. + +The `MapTransformer` class is a concrete implementation of the `Transformer` trait that uses a hash map to store the mapping between nodes in the original graph and nodes in the transformed graph. The `PartialRewriter` class is an implicit class that turns a partial function into a `Rewriter`. The `NoRewriting` object is a `Rewriter` that does not change the graph when applied. + +The `beginPass` and `endPass` methods are used to set the current pass for the graph and finalize the current pass, respectively. The `mirrorNode` method is used to mirror a node in the graph, which creates a new node in the transformed graph. The `mirrorSymbols` method is used to mirror a set of nodes in the graph. + +Overall, this code provides a framework for defining and executing compiler passes on a graph of computations. It allows for graph transformations and mirroring, which can be used to optimize and analyze the graph. +## Questions: + 1. What is the purpose of the `Pass` trait and its subclasses? +- The `Pass` trait and its subclasses define a compiler pass with a unique name, configuration parameters, and finalization logic. The compiler can be configured to perform one pass after another. + +2. What is the purpose of the `Rewriter` trait and its subclasses? +- The `Rewriter` trait and its subclasses define a set of rewriting rules that can be applied to a graph of nodes. The `PartialRewriter` class turns a partial function into a rewriter. + +3. What is the purpose of the `Mirror` trait and its subclasses? +- The `Mirror` trait and its subclasses provide default implementations for mirroring graph nodes. Mirroring is the process of creating a new graph that is equivalent to the original graph, but with different nodes. The `DefaultMirror` instance is used in core IR methods. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/summary.md new file mode 100644 index 0000000000..16bf913a6c --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/staged/summary.md @@ -0,0 +1,41 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged) + +The code in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/staged` folder provides functionality for working with directed acyclic graphs (DAGs) of nodes, representing program graphs and control flow, and performing compiler passes, graph transformations, and graph mirroring. This functionality is essential for optimizing and analyzing the graph in the larger Scalan project. + +In `AstGraphs.scala`, the `AstGraphs` trait provides tools for working with DAGs in a functional programming context. It defines several classes and types, such as `AstGraph`, `GraphNode`, `Schedule`, and `ScheduleIds`, for representing and manipulating DAGs. The code also includes methods for building usage maps, flattening schedules, and checking for multiple usages of nodes in the DAG. + +For example, you can create a new `AstGraph` object and manipulate its schedule: + +```scala +val graph = new AstGraph(...) +val flattenedSchedule = graph.flattenSchedule +``` + +In `ProgramGraphs.scala`, the `ProgramGraphs` trait extends `AstGraphs` and focuses on constructing and manipulating program graphs, which represent the control flow of a program. It defines the `PGraph`, `PGraphUsages`, and `ProgramGraph` classes, as well as the `ProgramGraph` object, which provides a `transform` method for transforming a `Ref` using a `Rewriter` and a `MapTransformer`. + +Here's an example of using the `ProgramGraph` object to transform a `Ref`: + +```scala +val s: Ref[Int] = ... +val rw: Rewriter = ... +val t: MapTransformer = ... +val transformedS = ProgramGraph.transform(s, rw, t) +``` + +In `Transforming.scala`, the code provides a framework for defining and executing compiler passes on a graph of computations. It defines traits like `Pass`, `Transformer`, `Rewriter`, and `Mirror`, as well as classes like `PassConfig`, `DefaultPass`, `MapTransformer`, `PartialRewriter`, and the `NoRewriting` object. The code also includes methods like `beginPass`, `endPass`, `mirrorNode`, and `mirrorSymbols` for managing compiler passes and graph transformations. + +For example, you can define a custom compiler pass and apply it to a graph: + +```scala +object MyPass extends Pass { + val name = "MyPass" + ... +} + +val graph = ... +graph.beginPass(MyPass) +val transformedGraph = graph.mirrorSymbols(...) +graph.endPass() +``` + +Overall, the code in this folder is essential for working with DAGs, program graphs, and compiler passes in the Scalan project. It provides a powerful set of tools for representing and manipulating complex data structures and algorithms, which can be integrated into larger projects to provide a high-level view of the structure and behavior of the code. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/summary.md new file mode 100644 index 0000000000..d24ecc1a36 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/summary.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan) + +The code in the `scalan` folder provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming. + +For example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes. + +The `Exceptions` module defines a custom exception class called `DelayInvokeException`, which can be used in conjunction with staged programming to optimize code execution. The `GraphIRReflection` object registers classes, methods, and constructors, enabling reflection capabilities for tasks such as serialization, code generation, or dynamic method invocation. + +The `Library` trait provides a set of common functionality and utilities that can be used across the larger project, such as simplifying expressions and modifying method calls for collections. The `MethodCalls` trait provides functionality for creating and invoking method calls in a graph-based representation of computations. + +The `SigmaLibrary` trait provides a library of functions and types for working with the Sigma protocol, a cryptographic protocol for secure multi-party computation. The `TypeDescs` module provides a set of classes and methods for working with type descriptors in the Scalan framework, representing the types of staged values and functions in the Scalan IR. + +Here's an example of how some of these traits can be used together: + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In this example, we define a function `myFunction` that takes two values of type `A`, where `A` has instances of `ExactNumeric` and `ExactOrdering`. The function calculates the sum and maximum of the two values and returns a tuple containing the results. The `NumericOps` and `OrderingOps` traits provide the necessary operations for performing these calculations, while the `Tuples` trait provides support for working with tuples. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/Variance.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/Variance.md new file mode 100644 index 0000000000..1eed49d848 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/Variance.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/scalan/util/Variance.scala) + +This code defines a sealed trait called "Variance" and three case objects that extend it: "Invariant", "Covariant", and "Contravariant". + +In programming, variance refers to how subtyping between types relates to subtyping between their generic types. In other words, it determines how the subtyping of a generic type is affected by the subtyping of its type parameters. + +The "Invariant" case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. + +The "Covariant" case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. + +The "Contravariant" case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. + +This code can be used in the larger project to define the variance of type parameters in generic classes and functions. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects. + +```scala +class Container[+T] // Covariant container +class Function[-T, +R] // Contravariant input, covariant output +class Pair[T, U <: T] // Invariant T, subtype U +``` + +By using these case objects, we can ensure that our generic classes and functions behave correctly with respect to subtyping. +## Questions: + 1. What is the purpose of the `Variance` trait and its three case objects? + + The `Variance` trait and its case objects represent the different types of variance in Scala's type system: `Invariant`, `Covariant`, and `Contravariant`. These are used to specify how a type parameter can vary in relation to its container type. + +2. Why is the `Variance` trait sealed? + + The `Variance` trait is sealed to prevent other classes or objects from extending it outside of this file. This ensures that the only possible subtypes of `Variance` are the three case objects defined in this file. + +3. What is the purpose of extending `Product` and `Serializable` in the `Variance` trait? + + Extending `Product` and `Serializable` in the `Variance` trait allows instances of the trait and its case objects to be serialized and deserialized, as well as to be used in pattern matching and other operations that rely on the `Product` interface. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/summary.md new file mode 100644 index 0000000000..f4e8ccd913 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/scalan/util/summary.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/scalan/util) + +The `Variance.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/scalan/util` folder defines a sealed trait called `Variance` and three case objects that extend it: `Invariant`, `Covariant`, and `Contravariant`. These objects are used to represent the variance of type parameters in generic classes and functions within the larger project. + +Variance is a concept in programming that refers to how subtyping between types relates to subtyping between their generic types. It determines how the subtyping of a generic type is affected by the subtyping of its type parameters. + +The `Invariant` case object represents a type parameter that is not affected by subtyping. This means that a value of type A cannot be substituted for a value of type B, even if A is a subtype of B. + +```scala +class InvariantContainer[T] // Invariant container +``` + +The `Covariant` case object represents a type parameter that is affected by subtyping in a positive way. This means that if A is a subtype of B, then a value of type F[A] is also a subtype of F[B], where F is a generic type. + +```scala +class CovariantContainer[+T] // Covariant container +``` + +The `Contravariant` case object represents a type parameter that is affected by subtyping in a negative way. This means that if A is a subtype of B, then a value of type F[B] is a subtype of F[A]. + +```scala +class ContravariantContainer[-T] // Contravariant container +``` + +These case objects can be used in the larger project to define the variance of type parameters in generic classes and functions, ensuring that they behave correctly with respect to subtyping. For example, if we have a generic class that represents a container of some type T, we can specify its variance using one of the three case objects: + +```scala +class Container[+T] // Covariant container +class Function[-T, +R] // Contravariant input, covariant output +class Pair[T, U <: T] // Invariant T, subtype U +``` + +By using these case objects, developers can ensure that their generic classes and functions are properly designed and implemented with respect to subtyping. This can help prevent potential issues and bugs related to incorrect subtyping behavior in the larger project. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/CollsUnit.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/CollsUnit.md new file mode 100644 index 0000000000..d31e189ecb --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/CollsUnit.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/CollsUnit.scala) + +The code above is a part of a project called "special.collection". It defines a trait called "Colls" which is a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. The purpose of this code is to provide a way to manipulate collections in a staged environment. + +The "Colls" trait contains two other traits, "Coll" and "CollBuilder". The "Coll" trait defines methods that can be used to manipulate collections. These methods include "length", "apply", "getOrElse", "map", "zip", "exists", "forall", "filter", "foldLeft", "indices", "flatMap", "indexOf", "patch", "updated", "updateMany", "slice", and "append". Each of these methods has a corresponding method in the original non-staged class "special.collection.Coll". The semantics of each method are the same as in the original class. + +The "CollBuilder" trait defines methods that can be used to create collections. These methods include "fromItems", "xor", and "replicate". The "fromItems" method creates a collection from a variable number of items. The "xor" method performs an exclusive or operation on two collections of bytes. The "replicate" method creates a collection of a given length with each element set to a given value. + +Overall, this code provides a way to manipulate and create collections in a staged environment. It can be used in the larger project to represent and manipulate collections in a way that is optimized for the specific environment. + +Example usage of the "Coll" trait: +``` +val coll: Ref[Coll[Int]] = ... +val length: Ref[Int] = coll.length +val firstElement: Ref[Int] = coll.apply(0) +val secondElement: Ref[Int] = coll.getOrElse(1, 0) +val doubledColl: Ref[Coll[Int]] = coll.map(x => x * 2) +val zippedColl: Ref[Coll[(Int, String)]] = coll.zip(otherColl) +val exists: Ref[Boolean] = coll.exists(x => x > 5) +val filteredColl: Ref[Coll[Int]] = coll.filter(x => x > 5) +val sum: Ref[Int] = coll.foldLeft(0, (acc, x) => acc + x) +val indices: Ref[Coll[Int]] = coll.indices +val flatMappedColl: Ref[Coll[Int]] = coll.flatMap(x => Coll(x, x * 2)) +val index: Ref[Int] = coll.indexOf(5, 0) +val patchedColl: Ref[Coll[Int]] = coll.patch(0, otherColl, 2) +val updatedColl: Ref[Coll[Int]] = coll.updated(0, 5) +val updatedManyColl: Ref[Coll[Int]] = coll.updateMany(Coll(0, 1), Coll(5, 6)) +val slicedColl: Ref[Coll[Int]] = coll.slice(0, 5) +val appendedColl: Ref[Coll[Int]] = coll.append(otherColl) +``` + +Example usage of the "CollBuilder" trait: +``` +val collBuilder: Ref[CollBuilder] = ... +val coll: Ref[Coll[Int]] = collBuilder.fromItems(1, 2, 3) +val xorColl: Ref[Coll[Byte]] = collBuilder.xor(leftColl, rightColl) +val replicatedColl: Ref[Coll[Int]] = collBuilder.replicate(5, 0) +``` +## Questions: + 1. What is the purpose of this code and what problem does it solve? + + This code defines a staged version of collection interfaces used in graph-based IR to represent methods of Coll and CollBuilder. It provides a way to manipulate collections of elements in a type-safe and efficient manner. + +2. What are some of the methods available in the Coll trait and what do they do? + + The Coll trait provides methods such as length, apply, getOrElse, map, zip, exists, forall, filter, foldLeft, indices, flatMap, indexOf, patch, updated, updateMany, slice, and append. These methods allow for various operations to be performed on collections such as mapping, filtering, folding, and updating elements. + +3. What is the relationship between the Colls trait and the Coll and CollBuilder traits? + + The Colls trait extends the Base trait and is used to represent the staged version of collection interfaces. It requires the Coll and CollBuilder traits to be mixed in and provides implementations for the methods defined in those traits. The Coll and CollBuilder traits define the methods that can be used to manipulate collections of elements. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/CollsImpl.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/CollsImpl.md new file mode 100644 index 0000000000..1f28bcbf0d --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/CollsImpl.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/collection/impl/CollsImpl.scala) + +This code defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the `Scalan` framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. The `CollBuilder` trait is responsible for creating instances of `Coll`. + +The `Coll` trait is implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. These IRs can be later optimized and compiled to efficient code. The `Coll` trait provides a set of methods that are implemented using the `mkMethodCall` function, which generates the IR nodes for the method calls. + +The `CollBuilder` trait provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. The `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls. + +Here's an example of using the `Coll` and `CollBuilder` traits: + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the `Scalan` framework. +## Questions: + 1. **What is the purpose of the `Coll` trait and its related classes?** + + The `Coll` trait represents a generic collection of elements of type `A`. It provides various methods for working with collections, such as `length`, `apply`, `map`, `zip`, and `filter`. The related classes, such as `CollCls`, `CollConst`, and `CollAdapter`, provide implementations and utilities for working with `Coll` instances. + +2. **How does the `CollBuilder` trait work, and what is its purpose?** + + The `CollBuilder` trait is used to create instances of `Coll` with specific elements or properties. It provides methods like `fromItems`, `xor`, and `replicate` to create new collections based on input parameters. The `CollBuilderConst` and `CollBuilderAdapter` classes provide implementations and utilities for working with `CollBuilder` instances. + +3. **How are the `Liftable` instances used in this code?** + + The `Liftable` instances, such as `LiftableColl` and `LiftableCollBuilder`, are used to convert between the high-level `Coll` and `CollBuilder` types and their low-level, specialized counterparts (e.g., `SColl` and `SCollBuilder`). They provide methods like `lift` and `unlift` to perform these conversions, allowing the code to work with both high-level and low-level representations of collections. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/summary.md new file mode 100644 index 0000000000..0f493710e3 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/impl/summary.md @@ -0,0 +1,19 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl) + +The `CollsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/special/collection/impl` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. + +The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code. + +The `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls. + +In the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used: + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +This example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/summary.md new file mode 100644 index 0000000000..669c8f630e --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/collection/summary.md @@ -0,0 +1,19 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/collection) + +The code in the `CollsUnit.scala` file is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations. This file specifically defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. + +The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code. + +The `CollBuilder` trait is responsible for creating instances of `Coll`. It provides methods for creating instances of `Coll` from a sequence of items, replicating an item, and performing an XOR operation on two collections of bytes. Like the `Coll` trait, the `CollBuilder` trait is also implemented using a staged approach, with the `mkMethodCall` function generating the IR nodes for the method calls. + +In the context of the larger project, the `Coll` and `CollBuilder` traits can be used to define custom collection types and operations that can be optimized and compiled to efficient code using the Scalan framework. Here's an example of how this code might be used: + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +This example demonstrates the creation of custom collections using the `CollBuilder` trait and performing operations on these collections using the `Coll` trait. The resulting collections can be further optimized and compiled using the Scalan framework, making this code an essential part of the larger project. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.md new file mode 100644 index 0000000000..6a27ff8d4b --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/SigmaDslUnit.scala) + +The code provided is a part of the Sigma project, which is a smart contract language for the blockchain. The code defines several traits that represent different types of data and operations that can be used in Sigma contracts. + +The `SigmaDsl` trait extends the `Base` trait and requires a `SigmaLibrary` to be mixed in. It defines several other traits, including `BigInt`, `GroupElement`, `SigmaProp`, `Box`, `AvlTree`, `PreHeader`, `Header`, `Context`, and `SigmaDslBuilder`. Each of these traits defines a set of methods that can be used to perform operations on the corresponding data type. + +For example, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. The `GroupElement` trait defines methods for performing operations on elliptic curve points, such as exponentiation, multiplication, and negation. The `SigmaProp` trait defines methods for creating and manipulating Sigma propositions, which are used to represent conditions that must be satisfied for a transaction to be valid. + +The `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. The `AvlTree` trait defines methods for working with authenticated data structures, including inserting, updating, and removing key-value pairs, as well as checking whether a key is present and retrieving its value. + +The `PreHeader` and `Header` traits define methods for working with block headers, including retrieving their version, parent ID, timestamp, difficulty, height, and various other fields. The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. + +Finally, the `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. + +Overall, this code provides a set of building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain. +## Questions: + 1. What is the purpose of this code? +- This code defines traits for various types used in the Sigma programming language, including BigInt, GroupElement, SigmaProp, Box, AvlTree, PreHeader, Header, and Context. + +2. What methods are available for the AvlTree trait? +- The AvlTree trait includes methods for updating the tree's digest and operations, checking if a key is contained in the tree, retrieving a value associated with a key, inserting a new key-value pair, updating an existing key-value pair, and removing a key-value pair. + +3. What is the SigmaDslBuilder trait used for? +- The SigmaDslBuilder trait defines methods for building Sigma expressions, including creating collections, combining boolean conditions, hashing data, converting between data types, and creating proofs for discrete logarithm and Diffie-Hellman tuples. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/summary.md new file mode 100644 index 0000000000..48a81a9419 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/summary.md @@ -0,0 +1,46 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma) + +The `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +For instance, the `BigInt` trait defines methods for performing arithmetic operations on big integers, such as addition, subtraction, multiplication, division, and modulo. Developers can use these methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain. + +```scala +val a: BigInt = ... +val b: BigInt = ... +val sum: BigInt = a + b +val product: BigInt = a * b +``` + +The `Box` trait defines methods for working with transaction outputs, including retrieving the ID, value, and proposition bytes of a box, as well as its creation information and tokens. This can be useful for developers to create conditions that must be satisfied for a transaction to be valid. + +```scala +val outputBox: Box = ... +val boxId: Array[Byte] = outputBox.id +val boxValue: Long = outputBox.value +val boxPropositionBytes: Array[Byte] = outputBox.propositionBytes +``` + +The `Context` trait defines methods for working with the current transaction context, including retrieving the inputs, outputs, and data inputs of the transaction, as well as the current block height and various other fields. This allows developers to create contracts that depend on the current state of the blockchain. + +```scala +val ctx: Context = ... +val inputs: Coll[Box] = ctx.inputs +val outputs: Coll[Box] = ctx.outputs +val dataInputs: Coll[Box] = ctx.dataInputs +val currentHeight: Int = ctx.height +``` + +The `SigmaDslBuilder` trait defines methods for building Sigma propositions and performing various cryptographic operations, including hashing, signature verification, and point decoding. This enables developers to create secure and verifiable contracts. + +```scala +val sigmaDslBuilder: SigmaDslBuilder = ... +val message: Array[Byte] = ... +val hash: Array[Byte] = sigmaDslBuilder.blake2b256(message) +val signature: Array[Byte] = ... +val publicKey: GroupElement = ... +val isValid: Boolean = sigmaDslBuilder.verifySignature(message, publicKey, signature) +``` + +In the `wrappers` subfolder, the `WrappersModule.scala` file provides a set of wrappers for various types and operations used throughout the project. These wrappers simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs. + +Overall, the code in this folder and its subfolder provides essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. Developers can use these traits and their methods to define custom data types and operations, and to create sophisticated contract logic that can be executed on the blockchain. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.md new file mode 100644 index 0000000000..b45529dc5c --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/sigma/wrappers/WrappersModule.scala) + +The code above is a trait called "WrappersModule" that extends another trait called "special.wrappers.WrappersModule". Traits in Scala are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them. + +In this case, the purpose of the "WrappersModule" trait is to provide a set of wrappers for various types and operations that are used in the larger project. These wrappers are designed to simplify the code and make it more readable and maintainable. + +For example, the "WrappersModule" trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library. + +The "WrappersModule" trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs. + +Overall, the "WrappersModule" trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs. +## Questions: + 1. What is the purpose of the `WrappersModule` trait? + - The `WrappersModule` trait is likely defining a set of wrappers for some functionality, but without more context it is difficult to determine the specific purpose. + +2. What is the relationship between `special.sigma.wrappers.WrappersModule` and `special.wrappers.WrappersModule`? + - `special.sigma.wrappers.WrappersModule` extends `special.wrappers.WrappersModule`, indicating that it is building on top of the functionality defined in the latter module. + +3. What other traits or classes might be part of the `special.sigma.wrappers` package? + - Without more information it is impossible to determine what other traits or classes might be part of the `special.sigma.wrappers` package. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/summary.md new file mode 100644 index 0000000000..16c21aa715 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/sigma/wrappers/summary.md @@ -0,0 +1,51 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/sigma/wrappers) + +The `WrappersModule.scala` file is part of a larger project and contains a trait called `WrappersModule` that extends another trait called `special.wrappers.WrappersModule`. In Scala, traits are similar to interfaces in other programming languages, and they define a set of methods and fields that can be implemented by classes that extend them. + +The purpose of the `WrappersModule` trait is to provide a set of wrappers for various types and operations used throughout the project. These wrappers are designed to simplify the code and make it more readable and maintainable. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs. + +For example, the `WrappersModule` trait may include wrappers for common data types like integers, strings, and booleans, as well as wrappers for more complex data structures like lists and maps. These wrappers may provide additional functionality or abstraction that is not available in the standard Scala library. + +```scala +trait WrappersModule { + // Wrapper for Integers + class IntWrapper(val value: Int) { + def +(other: IntWrapper): IntWrapper = new IntWrapper(value + other.value) + } + + // Wrapper for Strings + class StringWrapper(val value: String) { + def concat(other: StringWrapper): StringWrapper = new StringWrapper(value + other.value) + } +} +``` + +The `WrappersModule` trait may also include wrappers for common operations like file I/O, network communication, and database access. These wrappers may provide a higher-level interface that is easier to use and more robust than the underlying APIs. + +```scala +trait WrappersModule { + // Wrapper for File I/O + class FileWrapper(val path: String) { + def read(): String = { + // Read file content and return as a string + } + + def write(content: String): Unit = { + // Write content to the file + } + } + + // Wrapper for Network Communication + class NetworkWrapper(val url: String) { + def get(): String = { + // Send a GET request to the URL and return the response as a string + } + + def post(data: String): String = { + // Send a POST request to the URL with the given data and return the response as a string + } + } +} +``` + +Overall, the `WrappersModule` trait is an important component of the larger project, as it provides a set of abstractions and utilities that can be used throughout the codebase. By using these wrappers, developers can write more concise and maintainable code, and avoid common pitfalls and errors that may arise when working with low-level APIs. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/summary.md new file mode 100644 index 0000000000..26787b8654 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/summary.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special) + +The code in the `special` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +In the `collection` subfolder, the `CollsUnit.scala` file defines a custom collection type `Coll` and a collection builder `CollBuilder` in the `special.collection` package. The `Coll` trait extends the Scalan framework and provides a set of common collection operations, such as `map`, `filter`, `flatMap`, `foldLeft`, `zip`, `exists`, `forall`, and others. These operations are implemented using a staged approach, where the collection operations are defined as methods that generate intermediate representations (IR) of the computation. The `mkMethodCall` function is used to generate the IR nodes for the method calls, which can be later optimized and compiled to efficient code. + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the `sigma` subfolder, the `SigmaDslUnit.scala` file is part of the Sigma project, which is a smart contract language for the blockchain. It provides a set of traits that represent different types of data and operations that can be used in Sigma contracts. These traits serve as building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +```scala +val ctx: Context = ... +val inputs: Coll[Box] = ctx.inputs +val outputs: Coll[Box] = ctx.outputs +val dataInputs: Coll[Box] = ctx.dataInputs +val currentHeight: Int = ctx.height +``` + +In the `wrappers` subfolder, the `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability. + +```scala +import special.wrappers.WrappersModule + +object MyApp extends App with WrappersModule { + // Use the special pre-defined functions and types from WSpecialPredefsModule + val mySpecialValue = specialPredefs.mySpecialFunction(42) + + // Use the Option wrappers from WOptionsModule to handle null values + val myOption: Option[String] = getFromDatabase("some_key") + val myValue: String = myOption.getOrElse("default_value") + + // Use the type wrappers from WRTypesModule to work with specific types + val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue) + val myConvertedValue = myTypeWrapper.convertToAnotherType() +} +``` + +Overall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/WrappersModule.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/WrappersModule.md new file mode 100644 index 0000000000..b6e79db52b --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/WrappersModule.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/special/wrappers/WrappersModule.scala) + +The code above defines a trait called WrappersModule, which is a part of a larger project. This trait is used to group together several other modules that provide various wrappers and utilities for working with Scala and other programming languages. + +The first module included in this trait is WSpecialPredefsModule, which provides a set of special pre-defined functions and types that can be used in the project. The second module is WOptionsModule, which provides a set of wrappers for working with Scala's Option type. The third module is WRTypesModule, which provides a set of wrappers for working with various types in the project. + +By grouping these modules together in the WrappersModule trait, the code provides a convenient way for developers to access and use these wrappers and utilities in their code. For example, a developer could use the Option wrappers provided by WOptionsModule to handle null values in their code, or use the type wrappers provided by WRTypesModule to work with specific types in the project. + +Overall, the WrappersModule trait serves as a high-level interface for accessing and using these various wrappers and utilities in the larger project. By providing a centralized location for these modules, the code helps to improve code organization and maintainability, making it easier for developers to work with the project. +## Questions: + 1. What is the purpose of this code? +- This code defines a trait called `WrappersModule` that extends three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. + +2. What are the dependencies of this code? +- This code depends on three other modules: `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule`. It is assumed that these modules are defined elsewhere in the project. + +3. What is the relationship between the `WrappersModule` trait and the other three modules it extends? +- The `WrappersModule` trait extends the `WSpecialPredefsModule`, `WOptionsModule`, and `WRTypesModule` modules, which means that it inherits all of their functionality. This allows the `WrappersModule` trait to provide a unified interface for using the functionality of these three modules together. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/summary.md new file mode 100644 index 0000000000..d94f0b307d --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/special/wrappers/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/special/wrappers) + +The `WrappersModule.scala` file defines a trait called `WrappersModule`, which serves as a high-level interface for accessing and using various wrappers and utilities in the larger project. This trait groups together several other modules, making it easier for developers to work with the project and improving code organization and maintainability. + +The modules included in the `WrappersModule` trait are: + +1. **WSpecialPredefsModule**: This module provides a set of special pre-defined functions and types that can be used in the project. These functions and types might be commonly used across different parts of the project, and having them in a centralized module makes it easier for developers to access and use them. + +2. **WOptionsModule**: This module provides a set of wrappers for working with Scala's `Option` type. The `Option` type is used to handle null values in a safe and functional way. By providing wrappers for this type, the module makes it easier for developers to work with `Option` values in their code. For example, a developer could use the `Option` wrappers to handle null values when retrieving data from a database or an API. + +3. **WRTypesModule**: This module provides a set of wrappers for working with various types in the project. These wrappers can help developers work with specific types more easily and consistently. For example, a developer might use the type wrappers to convert between different representations of a data type or to perform type-specific operations. + +Here's an example of how the `WrappersModule` trait might be used in a larger project: + +```scala +import special.wrappers.WrappersModule + +object MyApp extends App with WrappersModule { + // Use the special pre-defined functions and types from WSpecialPredefsModule + val mySpecialValue = specialPredefs.mySpecialFunction(42) + + // Use the Option wrappers from WOptionsModule to handle null values + val myOption: Option[String] = getFromDatabase("some_key") + val myValue: String = myOption.getOrElse("default_value") + + // Use the type wrappers from WRTypesModule to work with specific types + val myTypeWrapper = rTypes.createWrapperFor(mySpecialValue) + val myConvertedValue = myTypeWrapper.convertToAnotherType() +} +``` + +In this example, the `MyApp` object extends the `WrappersModule` trait, which gives it access to the various wrappers and utilities provided by the included modules. The code then demonstrates how these wrappers and utilities can be used to work with special pre-defined functions, handle null values using `Option`, and work with specific types using type wrappers. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/summary.md new file mode 100644 index 0000000000..811cad56f3 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/summary.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala) + +The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +In the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming. + +For example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes. + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +Overall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/WOptions.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/WOptions.md new file mode 100644 index 0000000000..aeef954dfe --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/WOptions.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/WOptions.scala) + +The code above defines a trait called WOptions, which is a part of a larger project. This trait defines another trait called WOption, which represents an optional value that may or may not be present. The purpose of this code is to provide a wrapper around Scala's Option type, which allows for more convenient and expressive manipulation of optional values. + +The WOption trait has several methods that can be used to manipulate optional values. The isDefined method returns a boolean indicating whether the value is present or not. The filter method takes a function that returns a boolean and returns a new WOption that contains the value if the function returns true, or None if it returns false. The map method takes a function that transforms the value and returns a new WOption containing the transformed value. The getOrElse method returns the value if it is present, or a default value if it is not. Finally, the get method returns the value if it is present, or throws an exception if it is not. + +This code can be used in the larger project to simplify the handling of optional values. For example, instead of using if statements to check if a value is present and then accessing it, the WOption methods can be used to perform these operations in a more concise and expressive way. Here is an example of how this code might be used: + +``` +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +In this example, opt is an optional integer value. The filter method is used to create a new optional value that contains the original value only if it is greater than zero. The map method is used to create a new optional value that contains the original value multiplied by two. The getOrElse method is used to get the value if it is present, or return 42 if it is not. By using these methods, the code is more concise and easier to read than if statements or other conditional logic. +## Questions: + 1. What is the purpose of this code? + This code defines a trait called WOptions that extends Base and is used to create WOption objects with methods for filtering, mapping, and getting values. + +2. What is the relationship between this code and the rest of the project? + It is unclear from this code snippet what the relationship is between this code and the rest of the project. It is possible that this code is part of a larger library or framework. + +3. What types of values can be used with WOption? + WOption is a generic trait, so it can be used with any type A for which an Elem[A] is defined. The code also includes an implicit def eA that specifies the type of A. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.md new file mode 100644 index 0000000000..91688a9d64 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scala/impl/WOptionsImpl.scala) + +The code defines a module called WOptionsModule that provides a wrapper for the Option type in Scala. The module contains a trait called WOptionsDefs that defines the WOption trait and its implementation. The WOption trait is a wrapper for the Option type that provides additional functionality such as filtering, mapping, and getting the value of the option. + +The WOption trait is defined as an abstract trait with several methods that are implemented in the WOptionCls class. The WOptionCls class extends EntityObject and provides an implementation for the WOption trait. The class contains a WOptionConst case class that defines a single const for each entity. The case class takes two parameters: constValue, which is an Option of type SA, and lA, which is a Liftable of type SA and A. The case class extends LiftedConst and WOption, and implements the WOptionConstMethods trait. The WOptionConstMethods trait provides implementations for the isDefined, filter, map, getOrElse, and get methods. + +The WOptionCls class also defines a LiftableOption case class that extends Liftable and provides a liftable for Option of type SA and WOption of type A. The class also defines an implicit method called liftableOption that takes a Liftable of type SA and A and returns a Liftable of type Option of SA and WOption of A. + +The WOptionCls class also defines a WOptionAdapter case class that extends Node and WOption. The case class provides an adapter for the WOption trait and its methods. The class contains implementations for the isDefined, filter, map, getOrElse, and get methods. + +The WOptionCls class also defines an implicit method called unrefWOption that takes a Ref of type WOption of A and returns a WOption of A. The method provides a single unref method for each type family. + +The WOptionCls class also defines an implicit method called wOptionElement that takes an Elem of type A and returns an Elem of type WOption of A. The method provides a familyElem for the WOption trait. + +The code provides a wrapper for the Option type in Scala that provides additional functionality such as filtering, mapping, and getting the value of the option. The wrapper can be used in the larger project to simplify the handling of Option types and provide additional functionality. + +Example usage: + +``` +val opt: Option[Int] = Some(5) +val wopt: WOption[Int] = opt.toWOption +val filtered: WOption[Int] = wopt.filter(_ > 3) +val mapped: WOption[String] = wopt.map(_.toString) +val value: Int = wopt.getOrElse(0) +``` +## Questions: + 1. What is the purpose of the `WOptions` module and how does it relate to the `WrappersModule`? +- The `WOptions` module defines a trait `WOption` and its implementation for wrapping Scala's `Option` type. It extends the `Scalan` trait and requires the `WrappersModule` to be mixed in. +2. What methods are defined in the `WOptionConstMethods` trait and what is their purpose? +- The `WOptionConstMethods` trait defines methods for manipulating `WOption` objects, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. These methods correspond to similar methods on Scala's `Option` type and allow for filtering, mapping, and retrieving values from `WOption` objects. +3. What is the purpose of the `WOptionAdapter` class and how is it used? +- The `WOptionAdapter` class is an adapter for `WOption` objects that allows them to be treated as `WOption` traits. It defines methods for manipulating `WOption` objects and delegates to the corresponding methods on the underlying `WOption` object. It is used to convert `WOption` objects to the `WOption` trait when necessary. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/summary.md new file mode 100644 index 0000000000..b3810877d9 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/impl/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl) + +The `WOptionsImpl.scala` file in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala/impl` folder provides a wrapper for the Option type in Scala, adding extra functionality such as filtering, mapping, and getting the value of the option. This wrapper can be used throughout the larger project to simplify handling of Option types and provide additional functionality. + +The main component of this file is the `WOptionsModule`, which contains a trait called `WOptionsDefs`. This trait defines the `WOption` trait and its implementation. The `WOption` trait is an abstract trait with several methods that are implemented in the `WOptionCls` class. This class extends `EntityObject` and provides an implementation for the `WOption` trait. + +The `WOptionCls` class contains a `WOptionConst` case class that defines a single const for each entity. This case class takes two parameters: `constValue`, which is an Option of type `SA`, and `lA`, which is a `Liftable` of type `SA` and `A`. The case class extends `LiftedConst` and `WOption`, and implements the `WOptionConstMethods` trait. This trait provides implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods. + +Additionally, the `WOptionCls` class defines a `LiftableOption` case class that extends `Liftable` and provides a liftable for `Option` of type `SA` and `WOption` of type `A`. The class also defines an implicit method called `liftableOption` that takes a `Liftable` of type `SA` and `A` and returns a `Liftable` of type `Option` of `SA` and `WOption` of `A`. + +The `WOptionCls` class also defines a `WOptionAdapter` case class that extends `Node` and `WOption`. This case class provides an adapter for the `WOption` trait and its methods, containing implementations for the `isDefined`, `filter`, `map`, `getOrElse`, and `get` methods. + +Furthermore, the `WOptionCls` class defines an implicit method called `unrefWOption` that takes a `Ref` of type `WOption` of `A` and returns a `WOption` of `A`. This method provides a single unref method for each type family. The class also defines an implicit method called `wOptionElement` that takes an `Elem` of type `A` and returns an `Elem` of type `WOption` of `A`. This method provides a `familyElem` for the `WOption` trait. + +Here's an example of how this code might be used: + +```scala +val opt: Option[Int] = Some(5) +val wopt: WOption[Int] = opt.toWOption +val filtered: WOption[Int] = wopt.filter(_ > 3) +val mapped: WOption[String] = wopt.map(_.toString) +val value: Int = wopt.getOrElse(0) +``` + +In this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/summary.md new file mode 100644 index 0000000000..0c50bb73d0 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scala/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scala) + +The `WOptions.scala` file defines a trait called `WOptions`, which serves as a wrapper around Scala's `Option` type. This wrapper provides more convenient and expressive manipulation of optional values through the `WOption` trait. The `WOption` trait contains several methods for handling optional values, such as `isDefined`, `filter`, `map`, `getOrElse`, and `get`. + +For instance, consider the following example: + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +In this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic. + +The `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods. + +The `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types. + +Here's an example of how the code in the `impl` subfolder might be used: + +```scala +val opt: Option[Int] = Some(5) +val wopt: WOption[Int] = opt.toWOption +val filtered: WOption[Int] = wopt.filter(_ > 3) +val mapped: WOption[String] = wopt.map(_.toString) +val value: Int = wopt.getOrElse(0) +``` + +In this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value. + +In summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/WRTypes.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/WRTypes.md new file mode 100644 index 0000000000..1fe755888f --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/WRTypes.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/WRTypes.scala) + +This code defines a trait called `WRTypes` which extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The purpose of this trait is to provide a way to define and work with wrapped types in the Scalan framework. + +The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]` which is a type descriptor for `A`. It also has a method called `name` which returns a reference to a string representing the name of the wrapped type. + +The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types. + +This code is used in the larger Scalan framework to provide a way to define and work with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. For example, a wrapped type could be used to represent a non-negative integer or a string that must be a valid email address. + +Here is an example of how this code could be used to define a wrapped type for non-negative integers: + +``` +trait NonNegativeInt +object NonNegativeInt extends WRTypeCompanion { + implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] { + implicit def eA: Elem[NonNegativeInt] = this + def name: Ref[String] = "NonNegativeInt" + } +} +``` + +In this example, we define a trait called `NonNegativeInt` and an object with the same name that extends `WRTypeCompanion`. We then define an implicit `Elem[NonNegativeInt]` using the `WRType` trait. This `Elem` is used to provide a type descriptor for `NonNegativeInt` which can be used by other parts of the Scalan framework. +## Questions: + 1. What is the purpose of this code? + This code defines a trait called WRTypes that extends Base and is used in the WrappersModule. It also defines two traits, WRType and WRTypeCompanion, which have implicit type parameters and a name method. + +2. What is the relationship between this code and other files in the project? + It is unclear from this code snippet what other files in the project are related to this code. However, it can be inferred that this code is part of a larger project that uses the Scalan framework. + +3. What is the significance of the WrappedArray import? + The WrappedArray import is used to import the mutable WrappedArray class from the Scala standard library. It is possible that this class is used in the implementation of the WRTypes trait or its associated traits. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.md new file mode 100644 index 0000000000..d8e2956108 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/scalan/impl/WRTypesImpl.scala) + +The code defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a trait called WRTypesDefs that defines a set of types and methods related to wrapped types. The WRTypesDefs trait extends the Scalan trait, which provides a set of basic functionality for working with types and entities. + +The WRTypesDefs trait defines a class called WRTypeCls that provides functionality for working with wrapped types. The WRTypeCls class defines a set of methods for creating and manipulating wrapped types. The class defines a case class called WRTypeConst that represents a wrapped type with a constant value. The WRTypeConst class extends the LiftedConst class, which provides functionality for working with lifted constants. The WRTypeConst class also extends the WRType trait, which defines a set of methods for working with wrapped types. + +The WRTypeCls class also defines a trait called WRTypeConstMethods that provides additional methods for working with wrapped types. The WRTypeConstMethods trait extends the WRType trait and defines a set of methods for working with wrapped types. + +The WRTypeCls class defines a case class called LiftableRType that provides functionality for lifting a type into a wrapped type. The LiftableRType class extends the Liftable class, which provides functionality for lifting values into entities. The LiftableRType class also defines a method called lift that lifts a type into a wrapped type. + +The WRTypeCls class defines an implicit method called liftableRType that provides functionality for lifting a type into a wrapped type. The liftableRType method takes a Liftable object as an implicit parameter and returns a LiftableRType object. + +The WRTypeCls class defines a case class called WRTypeAdapter that provides functionality for adapting a wrapped type to a node. The WRTypeAdapter class extends the Node class, which provides functionality for working with nodes in a graph. The WRTypeAdapter class also extends the WRType trait and defines a set of methods for working with wrapped types. + +The WRTypeCls class defines an implicit method called unrefWRType that provides functionality for dereferencing a wrapped type. The unrefWRType method takes a Ref object as a parameter and returns a WRType object. + +The WRTypeCls class defines a class called WRTypeElem that provides functionality for working with wrapped type elements. The WRTypeElem class extends the EntityElem class, which provides functionality for working with entity elements. The WRTypeElem class also defines a set of methods for working with wrapped type elements. + +The WRTypesModule object defines a module called WRTypes that provides functionality for working with wrapped types. The module contains a set of types and methods related to wrapped types. The WRTypesModule object also defines a reflection object that provides functionality for working with reflection in a graph. + +The WRTypesModule trait extends the WRTypesDefs trait and provides additional functionality for working with wrapped types. The WRTypesModule trait also extends the WrappersModule trait, which provides functionality for working with wrappers. +## Questions: + 1. What is the purpose of the `WRType` trait and its related classes and methods? +- The `WRType` trait and its related classes and methods define a type class for wrapping primitive types and arrays in a way that can be used with the Scalan framework. + +2. What is the relationship between the `WRTypesModule` and `WrappersModule` modules? +- The `WRTypesModule` extends the `WrappersModule` and provides additional definitions related to the `WRType` type class. + +3. What is the purpose of the `LiftableRType` class and its `lift` method? +- The `LiftableRType` class provides a way to lift a `RType` object into a `WRType` object using a given `Liftable` instance. The `lift` method takes a `RType` object and returns a `WRType` object with the same type parameter. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/summary.md new file mode 100644 index 0000000000..c5f295c873 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/impl/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan/impl) + +The `WRTypesImpl.scala` file is part of the `graph-ir` project and provides functionality for working with wrapped types in the context of a graph. Wrapped types are a way to encapsulate types and their associated operations, making it easier to manipulate and work with them in a graph-based environment. + +The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`. + +For example, the `WRTypeConst` case class represents a wrapped type with a constant value. It extends the `LiftedConst` class, which provides functionality for working with lifted constants, and the `WRType` trait, which defines a set of methods for working with wrapped types. + +The `LiftableRType` case class provides functionality for lifting a type into a wrapped type. It extends the `Liftable` class, which provides functionality for lifting values into entities. The `lift` method is defined in this class to lift a type into a wrapped type. + +The `WRTypeAdapter` case class provides functionality for adapting a wrapped type to a node in a graph. It extends the `Node` class, which provides functionality for working with nodes in a graph, and the `WRType` trait, which defines a set of methods for working with wrapped types. + +Here's an example of how this code might be used: + +```scala +val wrappedIntType = WRTypeCls[Int] +val wrappedIntConst = wrappedIntType.const(42) +val liftedWrappedInt = LiftableRType.lift(42) +val adaptedWrappedInt = WRTypeAdapter(wrappedIntConst) +``` + +In this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph. + +The `WRTypesModule` object and trait provide additional functionality for working with wrapped types and integrate with the larger `graph-ir` project. The `WRTypesModule` trait extends the `WRTypesDefs` trait, which defines a set of types and methods related to wrapped types, and the `WrappersModule` trait, which provides functionality for working with wrappers. + +In summary, the `WRTypesImpl.scala` file is an essential part of the `graph-ir` project, providing functionality for working with wrapped types in a graph-based environment. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/summary.md new file mode 100644 index 0000000000..c1de929bdd --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/scalan/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan) + +The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/scalan` folder contains code related to the Scalan framework, specifically for defining and working with wrapped types. Wrapped types are types that are represented as objects at runtime and are used to provide additional functionality or constraints on the type. + +The main file in this folder is `WRTypes.scala`, which defines a trait called `WRTypes`. This trait extends another trait called `Base` and requires a dependency on a module called `WrappersModule`. The `WRTypes` trait contains two nested traits: `WRType` and `WRTypeCompanion`. The `WRType` trait is a type class that defines a wrapped type `A` and requires an implicit `Elem[A]`, which is a type descriptor for `A`. The `WRTypeCompanion` trait is an empty trait that serves as a marker for companion objects of wrapped types. + +Here's an example of how this code could be used to define a wrapped type for non-negative integers: + +```scala +trait NonNegativeInt +object NonNegativeInt extends WRTypeCompanion { + implicit val nonNegativeIntElem: Elem[NonNegativeInt] = new WRType[NonNegativeInt] { + implicit def eA: Elem[NonNegativeInt] = this + def name: Ref[String] = "NonNegativeInt" + } +} +``` + +The `impl` subfolder contains the `WRTypesImpl.scala` file, which provides functionality for working with wrapped types in the context of a graph. The main component of this file is the `WRTypeCls` class, which provides the core functionality for creating and manipulating wrapped types. It defines several methods and classes for working with wrapped types, such as `WRTypeConst`, `WRTypeConstMethods`, `LiftableRType`, `WRTypeAdapter`, and `WRTypeElem`. + +Here's an example of how this code might be used: + +```scala +val wrappedIntType = WRTypeCls[Int] +val wrappedIntConst = wrappedIntType.const(42) +val liftedWrappedInt = LiftableRType.lift(42) +val adaptedWrappedInt = WRTypeAdapter(wrappedIntConst) +``` + +In this example, we create a wrapped type for integers, create a wrapped integer constant with the value 42, lift the integer value 42 into a wrapped type, and adapt the wrapped integer constant to a node in a graph. + +In summary, the code in this folder is an essential part of the Scalan framework, providing functionality for defining and working with wrapped types. It defines several classes and methods for creating, manipulating, and adapting wrapped types, making it easier to work with types and their associated operations in the context of a graph. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.md new file mode 100644 index 0000000000..282b029fe2 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/WSpecialPredefs.scala) + +This code defines a trait called WSpecialPredefs, which extends the Base trait and requires the WrappersModule to be mixed in. The purpose of this trait is to provide some pre-defined methods and classes that can be used in the larger project. + +The trait defines two inner traits: WSpecialPredef and WSpecialPredefCompanion. WSpecialPredef is a Def trait, which means it represents a computation that can be executed at runtime. However, it doesn't define any methods or fields, so it's not clear what it's used for. WSpecialPredefCompanion, on the other hand, defines a method called some, which takes a Ref object of type A and returns a Ref object of type WOption[A]. + +WOption is likely a wrapper class that provides some additional functionality on top of the Option class in Scala. The some method creates a new WOption object that wraps the given Ref object. This method can be used to create a WOption object from a regular Ref object, which may be useful in other parts of the project. + +Overall, this code provides some pre-defined functionality related to WOption objects, which can be used in other parts of the project. However, without more context it's difficult to say exactly how this code fits into the larger project. +## Questions: + 1. What is the purpose of this code? + This code defines a trait called WSpecialPredefs that extends Base and is used in the WrappersModule. It also defines two traits, WSpecialPredef and WSpecialPredefCompanion, with a method called some that takes a Ref[A] and returns a Ref[WOption[A]]. + +2. What is the relationship between this code and other parts of the project? + This code is part of the special.wrappers package and is used in conjunction with the WrappersModule. + +3. What is the significance of the imports at the beginning of the code? + The imports bring in the WOption and WSpecialPredef objects, which are used in the definition of the WSpecialPredefs trait. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.md new file mode 100644 index 0000000000..a98ebecce7 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/graph-ir/src/main/scala/wrappers/special/impl/WSpecialPredefsImpl.scala) + +The code defines a module called WSpecialPredefs that provides some special pre-defined methods and entities. The module is defined in the `wrappers.special` package and is implemented in the `impl` sub-package. The module extends the `Scalan` trait and the `WSpecialPredefs` trait. It also registers the `WSpecialPredefsModule` module. + +The `WSpecialPredef` object is defined within the module and provides a set of methods that can be used to create and manipulate `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala. The `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method takes a value of type `A` and returns a `WOption` entity that contains that value. The `some` method is defined using the `mkMethodCall` method, which is a method provided by the `Scalan` trait. The `mkMethodCall` method takes the receiver object, the method to be called, the arguments to the method, and the expected return type, and returns a reference to the result of the method call. + +The `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some` that can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. + +The `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module. + +Overall, the `WSpecialPredefs` module provides a set of pre-defined methods and entities that can be used to create and manipulate `WOption` entities. These entities can be used in the larger project to represent optional values that may or may not be present. The `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities. +## Questions: + 1. What is the purpose of the `WSpecialPredef` object? +- The `WSpecialPredef` object defines a set of methods for working with wrapped types, including a `some` method that creates a wrapped `WOption` value. + +2. What is the relationship between `WSpecialPredef` and `WSpecialPredefCompanionCtor`? +- `WSpecialPredefCompanionCtor` is a companion object for `WSpecialPredef` that defines its constructor and other methods. `WSpecialPredef` extends `WSpecialPredefCompanion` and uses its methods. + +3. What is the purpose of the `resetContext` method? +- The `resetContext` method resets the context of the `WSpecialPredefsModule` and its dependencies, which can be useful for testing or other scenarios where a fresh context is needed. \ No newline at end of file diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/summary.md new file mode 100644 index 0000000000..b802acfacf --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/impl/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl) + +The `WSpecialPredefsImpl.scala` file is part of the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special/impl` folder and provides a module called `WSpecialPredefs` that contains special pre-defined methods and entities for working with `WOption` entities. The `WOption` entity is a wrapper around the standard `Option` type in Scala, which represents optional values that may or may not be present. + +The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities. + +For example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. The `some` method is defined using the `mkMethodCall` method provided by the `Scalan` trait. Here's an example of how the `some` method can be used: + +```scala +val wOption = WSpecialPredef.some(42) +``` + +This creates a `WOption` entity containing the value `42`. + +The `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. The `some` extractor method takes a `Def` object and returns a reference to the value contained in the `WOption` entity if the `Def` object represents a call to the `some` method of the `WSpecialPredef` object. Here's an example of how the `some` extractor method can be used: + +```scala +val wOption = WSpecialPredef.some(42) +val value = WSpecialPredefCompanionMethods.some(wOption) +``` + +This extracts the value `42` from the `WOption` entity. + +The `WSpecialPredefsDefs` trait extends the `WSpecialPredefs` trait and provides the implementation of the `WSpecialPredef` object. The `WSpecialPredefsModule` trait extends the `WSpecialPredefsDefs` trait and provides the module information for the `WSpecialPredefs` module. + +In summary, the `WSpecialPredefsImpl.scala` file provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/summary.md new file mode 100644 index 0000000000..94c41added --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/special/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special) + +The `.autodoc/docs/json/graph-ir/src/main/scala/wrappers/special` folder contains code related to the `WSpecialPredefs` trait and its implementation. This trait provides pre-defined methods and classes for working with `WOption` objects, which are wrappers around the standard `Option` type in Scala, representing optional values that may or may not be present. + +The `WSpecialPredefs.scala` file defines the `WSpecialPredefs` trait, which extends the `Base` trait and requires the `WrappersModule` to be mixed in. It contains two inner traits: `WSpecialPredef` and `WSpecialPredefCompanion`. The `WSpecialPredef` is a `Def` trait, representing a computation that can be executed at runtime, but it doesn't define any methods or fields. The `WSpecialPredefCompanion` defines a method called `some`, which takes a `Ref` object of type `A` and returns a `Ref` object of type `WOption[A]`. This method can be used to create a `WOption` object from a regular `Ref` object. + +The `impl` subfolder contains the `WSpecialPredefsImpl.scala` file, which provides the implementation of the `WSpecialPredefs` trait. The `WSpecialPredefs` module extends the `Scalan` trait and the `WSpecialPredefs` trait, and registers the `WSpecialPredefsModule` module. The main functionality of this module is provided by the `WSpecialPredef` object, which contains methods for creating and manipulating `WOption` entities. + +For example, the `WSpecialPredef` object provides a method called `some` that can be used to create a `WOption` entity from a value of type `A`. Here's an example of how the `some` method can be used: + +```scala +val wOption = WSpecialPredef.some(42) +``` + +This creates a `WOption` entity containing the value `42`. + +The `WSpecialPredef` object also defines a companion object called `WSpecialPredefCompanionMethods` that provides an extractor method called `some`. This method can be used to extract the value contained in a `WOption` entity. Here's an example of how the `some` extractor method can be used: + +```scala +val wOption = WSpecialPredef.some(42) +val value = WSpecialPredefCompanionMethods.some(wOption) +``` + +This extracts the value `42` from the `WOption` entity. + +In summary, the code in this folder provides a set of pre-defined methods and entities for working with `WOption` entities in the larger project. These entities can be used to represent optional values that may or may not be present, and the `WSpecialPredef` object provides a convenient way to create and extract values from `WOption` entities. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/summary.md new file mode 100644 index 0000000000..3c9edeb788 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/scala/wrappers/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main/scala/wrappers) + +The code in the `.autodoc/docs/json/graph-ir/src/main/scala/wrappers` folder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. + +For instance, consider the following example: + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +In this example, `opt` is an optional integer value. The `filter` method creates a new optional value containing the original value only if it is greater than zero. The `map` method creates a new optional value containing the original value multiplied by two. The `getOrElse` method returns the value if it is present or 42 if it is not. By using these methods, the code becomes more concise and easier to read than using if statements or other conditional logic. + +The `impl` subfolder contains the `WOptionsImpl.scala` file, which provides the implementation for the `WOption` trait. The main component of this file is the `WOptionsModule`, which contains the `WOptionsDefs` trait. This trait defines the `WOption` trait and its implementation, `WOptionCls`. The `WOptionCls` class extends `EntityObject` and provides implementations for the `WOption` trait methods. + +The `WOptionCls` class also defines several case classes and implicit methods, such as `WOptionConst`, `LiftableOption`, `WOptionAdapter`, `unrefWOption`, and `wOptionElement`. These components provide additional functionality for handling optional values, such as lifting, adapting, and converting between `Option` and `WOption` types. + +Here's an example of how the code in the `impl` subfolder might be used: + +```scala +val opt: Option[Int] = Some(5) +val wopt: WOption[Int] = opt.toWOption +val filtered: WOption[Int] = wopt.filter(_ > 3) +val mapped: WOption[String] = wopt.map(_.toString) +val value: Int = wopt.getOrElse(0) +``` + +In this example, an `Option` value is converted to a `WOption` value using the `toWOption` method. Then, the `filter`, `map`, and `getOrElse` methods are used to manipulate the `WOption` value. + +In summary, the code in the `WOptions.scala` file and its `impl` subfolder provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. diff --git a/.autodoc/docs/markdown/graph-ir/src/main/summary.md b/.autodoc/docs/markdown/graph-ir/src/main/summary.md new file mode 100644 index 0000000000..1d8b143e53 --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/main/summary.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src/main) + +The code in the `.autodoc/docs/json/graph-ir/src/main/scala` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +In the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming. + +For example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes. + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +Overall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities. diff --git a/.autodoc/docs/markdown/graph-ir/src/summary.md b/.autodoc/docs/markdown/graph-ir/src/summary.md new file mode 100644 index 0000000000..56e526a80e --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/src/summary.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir/src) + +The code in the `.autodoc/docs/json/graph-ir/src` folder is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +In the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming. + +For example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes. + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +Overall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities. diff --git a/.autodoc/docs/markdown/graph-ir/summary.md b/.autodoc/docs/markdown/graph-ir/summary.md new file mode 100644 index 0000000000..336d08bc3e --- /dev/null +++ b/.autodoc/docs/markdown/graph-ir/summary.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/graph-ir) + +The code in the `.autodoc/docs/json/graph-ir` folder and its subfolders is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +In the `scalan` folder, the code provides a set of traits, classes, and utilities for working with the Scalan framework, a domain-specific language for high-performance computing. The framework is designed to optimize and analyze program graphs, perform compiler passes, and enable staged programming. + +For example, the `DefRewriting` trait provides methods for rewriting nodes in a graph, which can be used to optimize the graph and improve the performance of the program. The `Entities` trait provides base classes for various descriptors of staged traits and classes, allowing developers to create specific descriptors for different types of staged traits and classes. + +```scala +import scalan._ +import scalan.primitives._ + +trait MyModule extends Scalan with NumericOps with OrderingOps with Tuples { + def myFunction[A: ExactNumeric: ExactOrdering](a: Ref[A], b: Ref[A]): Ref[(A, A)] = { + val sum = a + b + val max = a.max(b) + val tuple = Pair(sum, max) + tuple + } +} +``` + +In the `special` folder, the code is part of a larger project that utilizes the Scalan framework for optimizing and compiling custom collection types and operations, as well as providing essential building blocks for creating complex smart contracts on the blockchain using the Sigma language. + +```scala +val collBuilder = CollBuilder // Get an instance of CollBuilder +val coll1 = collBuilder.fromItems(1, 2, 3) // Create a Coll[Int] with items 1, 2, 3 +val coll2 = collBuilder.fromItems(4, 5, 6) // Create another Coll[Int] with items 4, 5, 6 +val coll3 = coll1.zip(coll2) // Create a Coll[(Int, Int)] by zipping coll1 and coll2 +val coll4 = coll3.map { case (a, b) => a + b } // Create a Coll[Int] by summing the pairs in coll3 +``` + +In the `wrappers` folder, the code provides a convenient and expressive wrapper around Scala's `Option` type, simplifying the handling of optional values in the larger project. The `WOption` trait and its implementation offer various methods for manipulating optional values, making the code more concise and easier to read. + +```scala +val opt: WOption[Int] = ... +val filtered = opt.filter(x => x > 0) +val doubled = opt.map(x => x * 2) +val value = opt.getOrElse(42) +``` + +Overall, the code in this folder and its subfolders provides essential functionality for the larger project, including custom collection types and operations, building blocks for creating complex smart contracts on the blockchain, and high-level interfaces for accessing and using various wrappers and utilities. diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Imported.md b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Imported.md new file mode 100644 index 0000000000..20ebebb2cf --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Imported.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Imported.scala) + +The code provided is a Scala.js implementation of cryptographic functions for the Sigma protocol. The code is contained in the `sigmastate.crypto` package and is dependent on the `sigmajs-crypto-facade` library. + +The `CryptoContextJs` class provides methods for working with elliptic curve cryptography. The `getModulus()` and `getOrder()` methods return the modulus and order of the elliptic curve, respectively. The `validatePoint()` method takes two `BigInt` values as input and returns a `Platform.Point` object if the point is valid on the elliptic curve. The `getInfinity()` method returns the point at infinity on the elliptic curve. The `decodePoint()` method takes a string as input and returns a `Platform.Point` object. The `getGenerator()` method returns the generator point of the elliptic curve. + +The `CryptoFacadeJs` object provides various cryptographic functions. The `normalizePoint()` method takes a `Platform.Point` object as input and returns a normalized point. The `createCryptoContext()` method returns a new instance of the `CryptoContextJs` class. The `negatePoint()` method takes a `Platform.Point` object as input and returns the negation of the point. The `isInfinityPoint()` method takes a `Platform.Point` object as input and returns a boolean indicating whether the point is the point at infinity. The `multiplyPoint()` method takes a `Platform.Point` object and a `BigInt` scalar as input and returns the result of scalar multiplication. The `addPoint()` method takes two `Platform.Point` objects as input and returns the sum of the points. The `showPoint()` method takes a `Platform.Point` object as input and returns a string representation of the point. The `testBitZeroOfFieldElem()` method takes a `BigInt` value as input and returns a boolean indicating whether the least significant bit is set. The `getEncodedOfFieldElem()` method takes a `BigInt` value as input and returns a `Uint8Array` containing the encoded value. The `getXCoord()` and `getYCoord()` methods take a `Platform.Point` object as input and return the x and y coordinates, respectively. The `getAffineXCoord()` and `getAffineYCoord()` methods take a `Platform.Point` object as input and return the affine x and y coordinates, respectively. The `hashHmacSHA512()` method takes two `Uint8Array` values as input and returns the HMAC-SHA512 hash. The `generatePbkdf2Key()` method takes two strings as input and returns a `Uint8Array` containing the PBKDF2 key. + +The `Point` object provides methods for working with elliptic curve points. The `fromHex()` method takes a string as input and returns a `Platform.Point` object. The `ZERO` property returns the point at infinity. + +The `utils` object provides utility functions for working with byte arrays and hex strings. The `bytesToHex()` method takes a `Uint8Array` as input and returns a hex string. The `hexToBytes()` method takes a hex string as input and returns a `Uint8Array`. + +Overall, this code provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. +## Questions: + 1. What is the purpose of this code and what problem does it solve? + This code provides a set of functions for cryptographic operations on elliptic curve points, including point addition, multiplication, and validation, as well as hashing and key generation. + +2. What external dependencies does this code have? + This code depends on the "sigmajs-crypto-facade" library, which provides the implementation of the elliptic curve operations and other cryptographic functions. + +3. What is the expected input and output format for the functions in this code? + The input and output formats vary depending on the function, but generally involve BigInts, Uint8Arrays, and Platform.Points, which represent elliptic curve points. Some functions also take or return strings or Booleans. The documentation for each function should provide more details on the expected input and output formats. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Platform.md b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Platform.md new file mode 100644 index 0000000000..84d18350f9 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/Platform.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/js/src/main/scala/sigmastate/crypto/Platform.scala) + +The `Platform` object in the `sigmastate.crypto` package provides a JVM-specific implementation of various cryptographic methods used in the larger project. The purpose of this code is to provide a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation. + +The `Platform` object contains several methods for working with elliptic curve points and field elements. These methods include `getXCoord`, `getYCoord`, `getAffineXCoord`, `getAffineYCoord`, `getEncodedOfFieldElem`, `testBitZeroOfFieldElem`, `normalizePoint`, `showPoint`, `multiplyPoints`, `exponentiatePoint`, `isInfinityPoint`, and `negatePoint`. These methods take `Ecp` and `ECFieldElem` objects as input and return new `Ecp` and `ECFieldElem` objects as output. These methods are used to perform various operations on elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. + +The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays. These methods include `Uint8ArrayToBytes`, `bytesToJsShorts`, and `jsShortsToBytes`. These methods are used to convert between byte arrays and JavaScript typed arrays. + +The `Platform` object also contains methods for working with cryptographic contexts, random number generation, and hashing. These methods include `createContext`, `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These methods are used to create cryptographic contexts, generate random numbers, and perform hashing operations. + +Finally, the `Platform` object contains a method for checking the type of a value against a given type descriptor. This method is called `isCorrectType` and takes a value and a type descriptor as input. It returns a boolean indicating whether the value has the correct type. This method is used to perform type checking in various parts of the larger project. + +Overall, the `Platform` object provides a set of utility functions for working with elliptic curve cryptography, hashing, and random number generation in the larger project. These functions are implemented in a JVM-specific way and are used to perform various operations on cryptographic objects and data. +## Questions: + 1. What is the purpose of the `Platform` object? +- The `Platform` object provides a JVM-specific implementation of various cryptographic methods. + +2. What is the purpose of the `Ecp` and `ECFieldElem` classes? +- The `Ecp` class represents an elliptic curve point, while the `ECFieldElem` class represents an element of the underlying field of the elliptic curve. + +3. What is the purpose of the `isCorrectType` method? +- The `isCorrectType` method checks whether a given value has the expected type according to a given `SType` descriptor. This is used for type checking in various parts of the codebase. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/summary.md b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/summary.md new file mode 100644 index 0000000000..6c47d5bf78 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/crypto/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate/crypto) + +The code in the `sigmastate.crypto` package provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/summary.md b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/summary.md new file mode 100644 index 0000000000..0a82cbdc6d --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/scala/sigmastate/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate) + +The code in the `sigmastate.crypto` package, located in the `.autodoc/docs/json/interpreter/js/src/main/scala/sigmastate` folder, provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/scala/summary.md b/.autodoc/docs/markdown/interpreter/js/src/main/scala/summary.md new file mode 100644 index 0000000000..16847991de --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/scala/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main/scala) + +The code in the `.autodoc/docs/json/interpreter/js/src/main/scala` folder, specifically in the `sigmastate` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/js/src/main/summary.md b/.autodoc/docs/markdown/interpreter/js/src/main/summary.md new file mode 100644 index 0000000000..949fe42e65 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/main/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src/main) + +The code in the `.autodoc/docs/json/interpreter/js/src/main` folder, specifically in the `scala` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/js/src/summary.md b/.autodoc/docs/markdown/interpreter/js/src/summary.md new file mode 100644 index 0000000000..020bdc1e2a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/src/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js/src) + +The code in the `.autodoc/docs/json/interpreter/js/src` folder, specifically in the `main` subfolder, provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/js/summary.md b/.autodoc/docs/markdown/interpreter/js/summary.md new file mode 100644 index 0000000000..289bc0b3c0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/js/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/js) + +The code in the `.autodoc/docs/json/interpreter/js/src` folder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. + +In `Imported.scala`, the `CryptoContextJs` class provides methods for working with elliptic curve cryptography, such as getting the modulus and order of the elliptic curve, validating points, and decoding points from strings. The `CryptoFacadeJs` object provides various cryptographic functions, such as normalizing points, negating points, multiplying points, and adding points. The `Point` object provides methods for working with elliptic curve points, and the `utils` object provides utility functions for working with byte arrays and hex strings. + +In `Platform.scala`, the `Platform` object provides a JVM-specific implementation of various cryptographic methods used in the larger project. It contains several methods for working with elliptic curve points and field elements, such as getting the x and y coordinates of a point, encoding a field element, and multiplying two points together. The `Platform` object also contains methods for working with byte arrays and JavaScript typed arrays, cryptographic contexts, random number generation, and hashing. + +Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +Overall, the code in this folder provides a set of cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.md new file mode 100644 index 0000000000..91f3607fc5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/CryptoContextJvm.scala) + +The code above defines a class called `CryptoContextJvm` that extends the `CryptoContext` trait. The purpose of this class is to provide a concrete implementation of cryptographic operations using the Java Virtual Machine (JVM). + +The class takes an instance of `X9ECParameters` as a parameter, which is a set of parameters that define an elliptic curve used in cryptography. The `lazy val curve` is then set to the curve defined in the `X9ECParameters` instance. + +The class provides several methods that implement cryptographic operations using the elliptic curve defined in the `X9ECParameters` instance. The `getModulus` method returns the characteristic of the field over which the curve is defined. The `getOrder` method returns the order of the curve. The `getGenerator` method returns a point on the curve that is used as a generator for cryptographic operations. The `validatePoint` method takes two `BigInteger` parameters and returns a point on the curve that is validated using the `curve` instance. The `getInfinity` method returns the point at infinity on the curve. Finally, the `decodePoint` method takes an array of bytes and returns a point on the curve that is decoded from the byte array. + +This class can be used in the larger project to provide cryptographic operations using elliptic curves on the JVM. For example, if the project requires the generation of cryptographic keys or the signing and verification of messages, this class can be used to perform those operations using the elliptic curve defined in the `X9ECParameters` instance. + +Example usage: + +``` +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` +## Questions: + 1. What is the purpose of this code? + This code defines a class called `CryptoContextJvm` that extends `CryptoContext` and provides methods for working with elliptic curve cryptography. + +2. What external libraries or dependencies does this code rely on? + This code relies on the `org.bouncycastle.asn1.x9.X9ECParameters` library and the `java.math.BigInteger` class. + +3. What methods are available in the `CryptoContextJvm` class and what do they do? + The `CryptoContextJvm` class provides methods for getting the modulus, order, generator, infinity point, and decoding a point on an elliptic curve. These methods are used for performing cryptographic operations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.md new file mode 100644 index 0000000000..2ef7510cf5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/HmacSHA512.scala) + +The code above defines an object called HmacSHA512 that provides a method for generating a hash using the HMAC-SHA512 algorithm. This algorithm is a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. + +The HmacSHA512 object has a private constant called HashAlgo that specifies the name of the algorithm used for hashing. It also has a public method called hash that takes two parameters: a byte array representing the secret key and a byte array representing the data to be hashed. The method returns a byte array representing the resulting hash. + +Internally, the hash method calls a private method called initialize that takes a byte array representing the secret key as a parameter. This method initializes a new instance of the Mac class using the HashAlgo constant and the secret key. It then returns the initialized Mac object. + +The hash method then calls the doFinal method on the initialized Mac object, passing in the data to be hashed. This method computes the hash and returns it as a byte array. + +This code can be used in a larger project that requires secure message authentication and integrity checking. For example, it could be used in a financial application to ensure that transactions are not tampered with during transmission. Here is an example of how the hash method could be used: + +``` +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +This code initializes a secret key and data to be hashed, then calls the hash method on the HmacSHA512 object, passing in the secret key and data. It then prints out the resulting hash as a hexadecimal string. +## Questions: + 1. What is the purpose of this code? + This code provides a function to hash data using the HmacSHA512 algorithm. + +2. What input parameters does the `hash` function take? + The `hash` function takes two input parameters: `key` and `data`, both of which are arrays of bytes. + +3. What is the significance of the `private` keyword used in this code? + The `private` keyword is used to restrict access to the `initialize` function to only within the `HmacSHA512` object, making it inaccessible to code outside of this object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.md new file mode 100644 index 0000000000..529b5b9984 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/jvm/src/main/scala/sigmastate/crypto/Platform.scala) + +The code provided is a Scala implementation of cryptographic methods for the Sigma protocol. The code is contained in a single file named `Platform.scala` and is located in the `sigmastate.crypto` package. The purpose of this file is to provide a set of methods that are specific to the JVM platform and are used in the larger project for cryptographic operations. + +The file imports several classes from the Bouncy Castle library, which is a popular cryptographic library for Java and Scala. These classes are used to perform cryptographic operations such as hashing, key generation, and elliptic curve cryptography. The file also imports several classes from the `sigmastate` and `special` packages, which are part of the larger Sigma protocol project. + +The file contains several methods that perform operations on elliptic curve points, such as getting the X and Y coordinates of a point, multiplying two points, exponentiating a point, and negating a point. These methods are used to perform cryptographic operations such as key generation and signature verification. + +The file also contains several utility methods for working with byte arrays and strings, such as encoding and decoding byte arrays, normalizing strings, and generating secure random numbers. These methods are used to ensure the security and integrity of the cryptographic operations. + +Finally, the file contains a method for checking the type of a value against a given type descriptor. This method is used to ensure that the values passed to the cryptographic operations are of the correct type. + +Overall, the `Platform.scala` file provides a set of utility methods that are specific to the JVM platform and are used in the larger Sigma protocol project for cryptographic operations. +## Questions: + 1. What is the purpose of this code file? +- This code file contains the JVM specific implementation of crypto methods for the project. + +2. What external libraries or dependencies does this code use? +- This code uses the Bouncy Castle library for cryptographic operations. + +3. What is the purpose of the `isCorrectType` method? +- The `isCorrectType` method checks whether the type of a given value corresponds to a specified type descriptor. This is used for type checking in the project, particularly in the `ConstantNode` class. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.md new file mode 100644 index 0000000000..9a9f4a47d0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/crypto/summary.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate/crypto) + +The `sigmastate.crypto` package provides cryptographic utilities for the Sigma protocol project, specifically tailored for the Java Virtual Machine (JVM) platform. It contains three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/summary.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/summary.md new file mode 100644 index 0000000000..a556460aad --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/sigmastate/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala/sigmastate) + +The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +In the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/summary.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/summary.md new file mode 100644 index 0000000000..6b41ba673f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/scala/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main/scala) + +The `sigmastate` folder in the `.autodoc/docs/json/interpreter/jvm/src/main/scala` directory contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +In the `crypto` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/main/summary.md b/.autodoc/docs/markdown/interpreter/jvm/src/main/summary.md new file mode 100644 index 0000000000..a8603734d8 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/main/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src/main) + +The `.autodoc/docs/json/interpreter/jvm/src/main` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +In the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/jvm/src/summary.md b/.autodoc/docs/markdown/interpreter/jvm/src/summary.md new file mode 100644 index 0000000000..69a6baafa6 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/src/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm/src) + +The `.autodoc/docs/json/interpreter/jvm/src` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +In the `scala` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/jvm/summary.md b/.autodoc/docs/markdown/interpreter/jvm/summary.md new file mode 100644 index 0000000000..cba395df24 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/jvm/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/jvm) + +The `.autodoc/docs/json/interpreter/jvm` folder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +In the `src` subfolder, there are three main files: `CryptoContextJvm.scala`, `HmacSHA512.scala`, and `Platform.scala`. + +`CryptoContextJvm.scala` defines a class `CryptoContextJvm` that extends the `CryptoContext` trait, providing a concrete implementation of cryptographic operations using elliptic curves on the JVM. It takes an instance of `X9ECParameters` as a parameter, which defines an elliptic curve used in cryptography. The class provides several methods for cryptographic operations, such as `getModulus`, `getOrder`, `getGenerator`, `validatePoint`, `getInfinity`, and `decodePoint`. These methods can be used for key generation, message signing, and signature verification. For example: + +```scala +val x9params = // create an instance of X9ECParameters +val cryptoContext = new CryptoContextJvm(x9params) +val privateKey = // generate a private key using the cryptoContext +val publicKey = // generate a public key using the cryptoContext +val message = // create a message to sign +val signature = // sign the message using the privateKey and cryptoContext +val isValid = cryptoContext.validatePoint(signature, message, publicKey) // verify the signature using the publicKey and cryptoContext +``` + +`HmacSHA512.scala` defines an object that provides a method for generating a hash using the HMAC-SHA512 algorithm, a type of message authentication code (MAC) that uses a secret key to authenticate a message and ensure its integrity. The `hash` method takes a secret key and data as byte arrays and returns the resulting hash as a byte array. This can be used for secure message authentication and integrity checking. For example: + +```scala +val secretKey = "mySecretKey".getBytes("UTF-8") +val data = "myData".getBytes("UTF-8") +val hash = HmacSHA512.hash(secretKey, data) +println(s"Hash: ${hash.map("%02x".format(_)).mkString}") +``` + +`Platform.scala` provides a set of utility methods specific to the JVM platform for cryptographic operations in the Sigma protocol project. It imports classes from the Bouncy Castle library for hashing, key generation, and elliptic curve cryptography, as well as classes from the `sigmastate` and `special` packages. The file contains methods for elliptic curve point operations, such as getting coordinates, multiplying points, exponentiating points, and negating points. It also contains utility methods for byte arrays and strings, such as encoding and decoding, normalizing strings, and generating secure random numbers. Additionally, it includes a method for checking the type of a value against a given type descriptor. + +In summary, the `sigmastate.crypto` package provides essential cryptographic utilities for the Sigma protocol project on the JVM platform, including elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.md new file mode 100644 index 0000000000..d3073e07f7 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoAddress.scala) + +The code defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses: `P2PKAddress`, `Pay2SHAddress`, and `Pay2SAddress`. Ergo addresses are short strings that correspond to scripts used to protect a box. They have useful characteristics such as integrity checking, network and address type indication, and Base58 encoding to avoid similar-looking characters. + +The `ErgoAddress` trait has three main properties: `addressTypePrefix`, `contentBytes`, and `script`. The `addressTypePrefix` is a byte that differentiates between pay-to-public-key, pay-to-script, and pay-to-script-hash addresses. The `contentBytes` is an array of bytes representing the address content, and the `script` is an `ErgoTree` that corresponds to the address. + +The `P2PKAddress` class represents a pay-to-public-key address, which uses a serialized (compressed) public key as its content bytes. The `Pay2SHAddress` class represents a pay-to-script-hash address, which uses the first 192 bits of the Blake2b256 hash of the serialized script bytes as its content bytes. The `Pay2SAddress` class represents a pay-to-script address, which uses the serialized script as its content bytes. + +The `ErgoAddressEncoder` case class provides methods for converting Ergo addresses to and from Base58 strings. It takes a `networkPrefix` parameter to differentiate between mainnet and testnet addresses. The `toString` method converts an `ErgoAddress` to a Base58 string, while the `fromString` method converts a Base58 string to an `ErgoAddress`. The `fromProposition` method converts an `ErgoTree` to the corresponding `ErgoAddress`. + +Example usage: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +This code is essential for handling Ergo addresses in the larger project, as it provides a way to create, encode, and decode addresses for different types of scripts and network configurations. +## Questions: + 1. **Question**: What are the different address types supported by this code and their semantics? + **Answer**: The code supports three address types: Pay-to-PublicKey (P2PK), Pay-to-Script-Hash (P2SH), and Pay-to-Script (P2S). P2PK addresses correspond to a serialized (compressed) public key, P2SH addresses use the first 192 bits of the Blake2b256 hash of serialized script bytes, and P2S addresses use the serialized script. + +2. **Question**: How does the code ensure the integrity of an address? + **Answer**: The integrity of an address is ensured by incorporating a checksum. The checksum is calculated using the Blake2b256 hash function on the prefix byte and content bytes of the address. + +3. **Question**: What are the possible network types and their corresponding prefix values? + **Answer**: There are two possible network types: Mainnet and Testnet. Mainnet has a prefix value of 0x00, and Testnet has a prefix value of 0x10. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.md new file mode 100644 index 0000000000..5f83ad426f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.md @@ -0,0 +1,59 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBox.scala) + +# ErgoBox Class + +The `ErgoBox` class represents a box (also known as a coin or an unspent output) in the Ergo blockchain. A box is a state element locked by some proposition (ErgoTree). It is associated with some monetary value (arbitrary, but with predefined precision, so integer arithmetic is used to work with the value), and also a guarding script (aka proposition) to protect the box from unauthorized opening. + +In Ergo, a box is just a collection of registers, some with mandatory types and semantics, others could be used by applications in any way. The `ErgoBox` class adds additional fields in addition to amount and proposition (which are stored in the registers R0 and R1). Namely, register R2 contains additional tokens (a sequence of pairs (token identifier, value)). Register R3 contains height when block got included into the blockchain and also transaction identifier and box index in the transaction outputs. Registers R4-R9 are free for arbitrary usage. + +A transaction is unsealing a box. As a box can not be open twice, any further valid transaction can not be linked to the same box. + +The `ErgoBox` class has the following fields: +- `value`: amount of money associated with the box +- `ergoTree`: guarding script, which should be evaluated to true in order to open this box +- `additionalTokens`: secondary tokens the box contains +- `additionalRegisters`: additional registers the box can carry over +- `transactionId`: id of transaction which created the box +- `index`: index of the box (from 0 to total number of boxes the transaction with transactionId created - 1) +- `creationHeight`: height when a transaction containing the box was created. + +The class has the following methods: +- `get(identifier: RegisterId)`: returns the value of the register with the given identifier, or None if the register is not found. +- `toCandidate`: converts this box to `ErgoBoxCandidate` by forgetting transaction reference data (transactionId, index). +- `equals(arg: Any)`: returns true if the given object is an `ErgoBox` with the same id as this box. +- `hashCode()`: returns the hash code of the box id. +- `toString()`: returns a string representation of the box. + +The `ErgoBox` class also has several companion objects: +- `BoxId`: a type alias for `ADKey`, which is the type of the box id. +- `TokenId`: a type alias for `Digest32Coll`, which is the type of the token id. +- `Token`: a tuple of a token id and a long value. +- `MaxBoxSize`: the maximum size of a box. +- `STokenType`: the type of a token. +- `STokensRegType`: the type of the register containing additional tokens. +- `SReferenceRegType`: the type of the register containing reference to transaction and output id where the box was created. +- `Amount`: a type alias for `Long`, which is the type of the box value. +- `RegisterId`: a trait representing a register identifier. +- `MandatoryRegisterId`: a trait representing a mandatory register identifier. +- `NonMandatoryRegisterId`: a trait representing a non-mandatory register identifier. +- `R0`, `R1`, `R2`, `R3`, `R4`, `R5`, `R6`, `R7`, `R8`, `R9`: objects representing register identifiers. +- `ValueRegId`, `ScriptRegId`, `TokensRegId`, `ReferenceRegId`: objects representing mandatory register identifiers. +- `MaxTokens`: the maximum number of tokens that can be stored in a box. +- `maxRegisters`: the maximum number of registers that can be stored in a box. +- `mandatoryRegisters`: a sequence of mandatory register identifiers. +- `nonMandatoryRegisters`: a sequence of non-mandatory register identifiers. +- `startingNonMandatoryIndex`: the index of the first non-mandatory register. +- `allRegisters`: a sequence of all register identifiers. +- `registerByName`: a map from register name to register identifier. +- `registerByIndex(index: Int)`: returns the register identifier with the given index. +- `findRegisterByIndex(i: Int)`: returns the register identifier with the given index, or None if the index is out of range. +- `sigmaSerializer`: a serializer for `ErgoBox`. +## Questions: + 1. What is the purpose of the `ErgoBox` class? +- The `ErgoBox` class represents a box (or coin) in a UTXO-based cryptocurrency, which contains a monetary value, a guarding script, additional tokens, and additional registers. + +2. What are the mandatory and non-mandatory registers in an `ErgoBox`? +- The mandatory registers in an `ErgoBox` are `R0` (monetary value), `R1` (guarding script), `R2` (secondary tokens), and `R3` (reference to transaction and output id where the box was created). The non-mandatory registers are `R4` to `R9`. + +3. What is the purpose of the `sigmaSerializer` object in the `ErgoBox` companion object? +- The `sigmaSerializer` object is used to serialize and deserialize `ErgoBox` objects to and from bytes, respectively. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.md new file mode 100644 index 0000000000..360767242e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxAssets.scala) + +This code defines a trait and a case class that represent the assets held in an ErgoBox, which is a data structure used in the Ergo blockchain platform. The ErgoBoxAssets trait defines two properties: the value of the box (a Long) and a map of tokens (represented by ModifierId and Long). The ErgoBoxAssetsHolder case class implements this trait and provides a constructor that takes a value and a map of tokens. + +The ErgoBoxAssetsHolder object also provides a convenience constructor that takes only a value and creates an empty map of tokens. This can be useful when creating a new ErgoBox that does not initially hold any tokens. + +This code can be used in the larger project to represent the assets held in an ErgoBox. ErgoBoxes are used to store and transfer value and tokens in the Ergo blockchain, so this code is an important part of the platform's functionality. Developers can use the ErgoBoxAssetsHolder case class to create and manipulate ErgoBoxes in their applications. + +For example, to create a new ErgoBox with a value of 100 and no tokens, a developer could use the following code: + +``` +val box = ErgoBoxAssetsHolder(100) +``` + +To create a new ErgoBox with a value of 50 and a token with a modifier ID of "abc" and a quantity of 10, a developer could use the following code: + +``` +val tokens = Map(ModifierId("abc") -> 10) +val box = ErgoBoxAssetsHolder(50, tokens) +``` + +Overall, this code provides a simple and flexible way to represent the assets held in an ErgoBox, which is a key component of the Ergo blockchain platform. +## Questions: + 1. What is the purpose of the ErgoBoxAssets trait? + The ErgoBoxAssets trait defines a common interface for ErgoBox assets, including the box value and a map of token IDs and their amounts. + +2. What is the purpose of the ErgoBoxAssetsHolder case class? + The ErgoBoxAssetsHolder case class implements the ErgoBoxAssets trait and represents a box with a value and a map of token IDs and their amounts. + +3. What is the purpose of the apply method in the ErgoBoxAssetsHolder object? + The apply method in the ErgoBoxAssetsHolder object provides a convenient way to create an ErgoBoxAssetsHolder instance with a given value and an empty map of token IDs and their amounts. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.md new file mode 100644 index 0000000000..ea3382a3e6 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoBoxCandidate.scala) + +# ErgoBoxCandidate + +The `ErgoBoxCandidate` class is a representation of an unspent transaction output (UTXO) in the Ergo blockchain. It is similar to the `ErgoBox` class, but it does not contain the transaction ID and index, which are calculated after the transaction is formed. + +The class has the following fields: +- `value`: the amount of money associated with the box. +- `ergoTree`: the guarding script, which should be evaluated to true in order to open this box. +- `creationHeight`: the height when a transaction containing the box was created. This height is declared by the user and should not exceed the height of the block containing the transaction with this box. +- `additionalTokens`: secondary tokens the box contains. +- `additionalRegisters`: additional registers the box can carry over. + +The `ErgoBoxCandidate` class has several methods: +- `proposition`: transforms the `ergoTree` to a proposition, substituting the constants if the constant segregation flag is set. +- `propositionBytes`: returns the serialized bytes of the guarding `ErgoTree`. +- `bytesWithNoRef`: returns the serialized bytes of this box without transaction reference data (transaction ID and index). +- `toBox(txId: ModifierId, boxIndex: Short)`: creates a new `ErgoBox` based on this candidate using the given transaction reference data. +- `get(identifier: RegisterId)`: extracts register by ID. + +The `ErgoBoxCandidate` class also has a `tokens` field, which is a map of additional tokens stored in the box, merged into a map. This method is not used in `ErgoTree` and serialization and is not part of consensus. + +The `ErgoBoxCandidate` class is serialized using the `ErgoBoxCandidate.serializer` object, which is a `SigmaSerializer` that serializes the `ErgoBoxCandidate` object to bytes. The `serializer` object has two methods: `serialize` and `parse`. The `serialize` method serializes the `ErgoBoxCandidate` object to bytes, while the `parse` method deserializes the bytes to an `ErgoBoxCandidate` object. + +The `ErgoBoxCandidate` class is an important part of the Ergo blockchain, as it represents the UTXOs that can be spent in transactions. It is used in the larger project to manage the state of the blockchain and to ensure that transactions are valid. +## Questions: + 1. What is the purpose of the `ErgoBoxCandidate` class? +- The `ErgoBoxCandidate` class contains the same fields as `org.ergoplatform.ErgoBox`, except for the transaction id and index, which will be calculated after full transaction formation. + +2. What is the `proposition` method used for? +- The `proposition` method returns the guarding script of the `ErgoBoxCandidate` as a `SigmaPropValue`, which should be evaluated to true in order to open this box. + +3. What is the purpose of the `tokens` method? +- The `tokens` method returns a map of additional tokens stored in the box, merged into a Map. This method is not used in ErgoTree and serialization, and is not part of consensus. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.md new file mode 100644 index 0000000000..4bdf1f5ff2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeContext.scala) + +The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties such as `lastBlockUtxoRoot`, `headers`, `preHeader`, `dataBoxes`, `boxesToSpend`, `spendingTransaction`, `selfIndex`, `extension`, `validationSettings`, `costLimit`, `initCost`, and `activatedScriptVersion`. These properties are used to provide necessary information for the execution and validation of ErgoScript. + +The `ErgoLikeContext` class also provides several methods to create a new context with updated fields, such as `withErgoTreeVersion`, `withCostLimit`, `withInitCost`, `withValidationSettings`, `withExtension`, and `withTransaction`. These methods are useful for updating the context during the script execution process. + +Additionally, there are several case objects that represent ErgoScript operations related to the context, such as `MinerPubkey`, `Height`, `Inputs`, `Outputs`, `LastBlockUtxoRootHash`, `Self`, `Context`, and `Global`. These objects are used to evaluate specific context-related operations during the script execution. + +For example, the `Height` case object evaluates to an `IntConstant` built from `Context.currentHeight`. It has a fixed cost for calling the `Context.HEIGHT` Scala method and an `opType` of `SFunc(SContext, SInt)`. + +Overall, the `ErgoLikeContext` class and related case objects play a crucial role in the execution and validation of ErgoScript, providing necessary information and operations for the script evaluation process. +## Questions: + 1. **What is the purpose of the `ErgoLikeContext` class?** + + The `ErgoLikeContext` class represents a script evaluation context that is passed to a prover and a verifier to execute and validate the guarding proposition of input boxes of a transaction. + +2. **What are the main components of the `ErgoLikeContext` class?** + + The main components of the `ErgoLikeContext` class include the last block UTXO root, headers, preHeader, dataBoxes, boxesToSpend, spendingTransaction, selfIndex, extension, validationSettings, costLimit, initCost, and activatedScriptVersion. + +3. **What is the purpose of the `withErgoTreeVersion()` method in the `ErgoLikeContext` class?** + + The `withErgoTreeVersion()` method is used to create a new instance of the `ErgoLikeContext` class with an updated ErgoTree version. This is useful for implementing version-dependent operations and passing the updated version to the interpreter via the `special.sigma.Context`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.md new file mode 100644 index 0000000000..18e0359e62 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeInterpreter.scala) + +The ErgoLikeInterpreter class is a base class for a verifying interpreter that expects an ErgoLikeContext as input to its verify method. The class extends the Interpreter class and overrides its substDeserialize method. The purpose of this method is to deserialize a register of the SELF box. + +The SELF box is a special box in the Ergo blockchain that represents the current transaction being executed. It contains registers that can be used to store data. The ErgoLikeInterpreter class provides a way to deserialize the data stored in these registers. + +The substDeserialize method takes three parameters: a context object of type CTX, a function that updates the context object, and a node of type SValue. The method first checks if the node is an instance of the DeserializeRegister class. If it is, the method attempts to deserialize the register specified by the DeserializeRegister object. + +The method retrieves the SELF box from the context object and gets the value of the register specified by the DeserializeRegister object. If the value is an EvaluatedValue of type SByteArray, the method deserializes the value using the deserializeMeasured method and updates the context object with the new context. If the deserialized value has a different type than expected, an error is thrown. If the value is not an EvaluatedValue of type SByteArray, the method returns None. + +If the node is not an instance of the DeserializeRegister class, the method calls the superclass's substDeserialize method. + +Overall, the ErgoLikeInterpreter class provides a way to deserialize registers of the SELF box in an Ergo transaction. This can be useful for verifying transactions and executing smart contracts on the Ergo blockchain. An example usage of this class might be in a smart contract that requires deserialization of data stored in the SELF box registers. +## Questions: + 1. What is the purpose of this code? + + This code defines a base class for a verifying interpreter that deserializes a register of a SELF box in the context of an ErgoLikeContext. + +2. What other classes does this code interact with? + + This code interacts with classes from the sigmastate and sigmastate.utxo packages, as well as the ErgoLikeContext class. + +3. What is the significance of the override keyword used in this code? + + The override keyword is used to indicate that the methods being defined in this class are overriding methods from the parent class, Interpreter. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.md new file mode 100644 index 0000000000..969949630a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoLikeTransaction.scala) + +This code defines a set of classes and traits that are used to represent and manipulate transactions in the Ergo cryptocurrency network. + +The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` (a type alias for a byte array) and returns a `Try[ErgoBox]`. This trait is likely used by other parts of the project to retrieve boxes (i.e., unspent transaction outputs) from storage. + +The `ErgoLikeTransactionTemplate` trait is a base trait for Ergo transactions. It defines the inputs, data inputs, and output candidates for a transaction, as well as an identifier for the transaction. The `UnsignedErgoLikeTransaction` class is an implementation of this trait for unsigned transactions, while the `ErgoLikeTransaction` class is an implementation for signed transactions. The `UnsignedErgoLikeTransaction` class also provides a method `toSigned` that takes a sequence of `ProverResult`s and returns a signed `ErgoLikeTransaction`. + +The `ErgoLikeTransactionSerializer` object provides methods for serializing and deserializing `ErgoLikeTransaction`s. The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` and returns the bytes that should be signed by provers. + +Overall, this code provides the basic building blocks for creating and manipulating transactions in the Ergo network. It is likely used extensively throughout the project to handle transactions. +## Questions: + 1. What is the purpose of the `ErgoBoxReader` trait? +- The `ErgoBoxReader` trait defines a method `byId` that takes an `ADKey` parameter and returns a `Try[ErgoBox]`. It is likely used to retrieve an `ErgoBox` object by its ID. + +2. What is the difference between `UnsignedErgoLikeTransaction` and `ErgoLikeTransaction`? +- `UnsignedErgoLikeTransaction` is an unsigned version of `ErgoLikeTransactionTemplate` that can be converted to a signed `ErgoLikeTransaction` using proofs. `ErgoLikeTransaction` is a signed version of `ErgoLikeTransactionTemplate` that contains inputs with spending proofs. + +3. What is the purpose of the `bytesToSign` method in `ErgoLikeTransaction`? +- The `bytesToSign` method takes an `ErgoLikeTransactionTemplate` object and returns the bytes that should be signed by provers. It excludes the signatures and contains all the transaction bytes except for the proofs. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.md new file mode 100644 index 0000000000..a9a5c485b7 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/ErgoTreePredef.scala) + +The code provided is a collection of functions that create and manipulate ErgoTree objects, which are used in the Ergo blockchain platform. ErgoTree is a data structure that represents a script guarding a box in the blockchain. Each box in the blockchain has a guarding script, which is evaluated when the box is spent. The functions in this code provide pre-defined scripts that can be used in various scenarios. + +The `FalseProp` and `TrueProp` functions create ErgoTree objects with `false` and `true` propositions, respectively. These propositions are used to create guarding scripts that are always false or true, respectively. These scripts can be used in various scenarios, such as creating dummy boxes that cannot be spent. + +The `expectedMinerOutScriptBytesVal` function creates a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This function is used to create a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. + +The `rewardOutputScript` function creates a script that is required for the box that collects mining rewards. This script allows spending the box if the height is greater than the box creation height plus `delta` and the miner's public key is provided. + +The `feeProposition` function creates a script that allows sending coins to a box that is protected by a proposition that proves a dlog of a miner's public key and height is at least `delta` blocks bigger than the current one. This script is used to pay transaction fees in the blockchain. + +The `emissionBoxProp` function creates a contract that only allows collecting emission rewards by a box with a miner proposition. This function is used to control the level of emission and does not allow taking more coins than prescribed by emission rules. + +The `foundationScript` function creates a script that controls the level of emission and does not allow taking more coins than prescribed by emission rules. This script is protected by a custom proposition in R4, which is assumed to be a simple 2-of-3 multisignature with public keys of foundation members in the beginning. When foundation members spend this box, they are free to put any new proposition to the R4 register, thus they may add or remove members, or change it to something more complicated like `tokenThresholdScript`. + +The `boxCreationHeight` function returns the creation height of a box. This function is used to check the height of a box when it is spent. + +Overall, these functions provide pre-defined scripts that can be used in various scenarios in the Ergo blockchain platform. They allow creating guarding scripts that are always true or false, sending coins to a box that is protected by a miner proposition, controlling the level of emission, and checking the height of a box when it is spent. +## Questions: + 1. What is the purpose of the `ErgoTreePredef` object? +- The `ErgoTreePredef` object contains several functions for creating different types of ErgoTrees with specific propositions, such as `FalseProp`, `TrueProp`, `rewardOutputScript`, `feeProposition`, `emissionBoxProp`, and `foundationScript`. + +2. What is the purpose of the `expectedMinerOutScriptBytesVal` function? +- The `expectedMinerOutScriptBytesVal` function returns a byte array value of the serialized reward output script proposition with a public key being substituted with a given public key. This is used to create a new value for a specific constant in the reward output script. + +3. What is the purpose of the `foundationScript` function? +- The `foundationScript` function returns an ErgoTree script for an Ergo foundation box that controls the level of emission and allows only foundation members to spend it. The script checks that the first transaction output contains a specific amount of coins, is protected by the same script, and satisfies additional rules defined by foundation members. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/Input.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/Input.md new file mode 100644 index 0000000000..588c631859 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/Input.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/Input.scala) + +This code defines three classes related to transaction inputs in the Ergo blockchain platform: DataInput, UnsignedInput, and Input. + +DataInput is a simple case class that represents an input that enriches the script context but won't be spent by the transaction. It takes a BoxId as a parameter, which is the identifier of the box that should be added to the context. The toString method returns a string representation of the DataInput object, and the equals and hashCode methods are overridden to compare DataInput objects based on their boxId. + +UnsignedInput is a class that represents an input of a formed but unsigned transaction. It takes two parameters: the boxId of the box to be spent and an optional ContextExtension object that contains user-defined variables to be put into the context. If no ContextExtension is provided, an empty one is used. The class has two constructors, one that takes both parameters and another that takes only the boxId. The equals and hashCode methods are overridden to compare UnsignedInput objects based on their boxId. + +The Input class represents a fully signed transaction input. It takes two parameters: the boxId of the box to be spent and a ProverResult object that contains the proof of spending correctness. The class extends UnsignedInput and overrides the toString method to return a string representation of the Input object. The equals and hashCode methods are overridden to compare Input objects based on their boxId. + +The object Input contains a nested object serializer that extends SigmaSerializer and provides methods to serialize and parse Input objects. The serialize method writes the boxId and the spendingProof to a SigmaByteWriter, while the parse method reads the boxId and the spendingProof from a SigmaByteReader and returns an Input object. + +These classes are used to represent different types of transaction inputs in the Ergo blockchain platform. They can be used to create and manipulate transactions in the larger project. For example, to create a new Input object, one can use the following code: + +``` +val boxId: BoxId = ??? +val spendingProof: ProverResult = ??? +val input = Input(boxId, spendingProof) +``` +## Questions: + 1. What is the purpose of the `DataInput` class? + + The `DataInput` class represents an input that is used to enrich the script context but won't be spent by the transaction. It takes the id of a box to add into context. + +2. What is the difference between `UnsignedInput` and `Input` classes? + + `UnsignedInput` represents inputs of a formed but unsigned transaction and contains the id of a box to spend and user-defined variables to be put into context. `Input` represents a fully signed transaction input and contains the id of a box to spend and a proof of spending correctness. + +3. What is the purpose of the `Input.serializer` object? + + The `Input.serializer` object provides methods to serialize and parse an `Input` object to and from bytes using a `SigmaByteWriter` and `SigmaByteReader`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.md new file mode 100644 index 0000000000..bf9c96eab1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/SigmaConstants.scala) + +The code defines a set of constants used in the Sigma protocol's logic and checks. The constants are collected in a sequence and each constant has an ID, value, and description. The constant IDs are stable and never change. Some constant values may be defined in terms of other more fundamental values. + +The `SizeConstant` case class is used to define each constant. It takes a type parameter `T` that must be a subtype of `Numeric`. The `value` field holds the constant's value, the `id` field holds the constant's ID, and the `description` field holds a description of the constant. + +The `SigmaConstants` object contains all the constants defined in the code. Each constant is defined as an object that extends the `SizeConstant` case class. For example, `MaxBoxSize` is defined as an object that extends `SizeConstant[Int]` with a value of `4 * 1024`, an ID of `1`, and a description of "Box size should not be greater than provided value". + +The `ConstTable` field is a sequence of all the constants defined in the `SigmaConstants` object. It is created by collecting all the constant objects into a sequence. The `require` statement at the end of the `ConstTable` definition ensures that there are no duplicate constant IDs in the sequence. + +This code can be used in the larger project to provide a centralized location for all the constants used in the Sigma protocol's logic and checks. By defining the constants as objects that extend the `SizeConstant` case class, the code provides a consistent and easy-to-use interface for accessing the constants. For example, to access the `MaxBoxSize` constant, one can simply call `SigmaConstants.MaxBoxSize.value`. + +Overall, this code provides a useful abstraction for working with constants in the Sigma protocol and can help simplify the codebase by providing a centralized location for all the constants used in the project. +## Questions: + 1. What is the purpose of the `SizeConstant` case class? +- The `SizeConstant` case class is used to define constants with a value, an ID, and a description. + +2. What is the purpose of the `SigmaConstants` object? +- The `SigmaConstants` object provides access to the constants used in sigma's logic and checks. It collects all the constants in a sequence and each constant has an ID, value, and description. + +3. What is the purpose of the `ConstTable` sequence? +- The `ConstTable` sequence is a collection of all the constants defined in the `SigmaConstants` object. It is used to ensure that there are no duplicate constant IDs. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.md new file mode 100644 index 0000000000..ba1c2cc1c5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/dsl/AvlTreeHelpers.scala) + +The code in this file provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. An AVL tree is a self-balancing binary search tree that allows for efficient insertion, deletion, and lookup operations. In the context of Ergo, authenticated AVL trees are used to store and manage data in a secure and verifiable way. + +The `createAvlTree` function is the main function in this file. It takes in a set of flags that specify the allowed operations on the tree (e.g. insert, delete, update), as well as a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree. + +The `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object. + +The `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree. + +Overall, this code provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in a variety of contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. Here is an example usage of the `createAvlTree` function: + +``` +import org.ergoplatform.dsl.AvlTreeHelpers._ + +// create an authenticated AVL tree with insert and update operations allowed +val (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed, + (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)), + (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12)) +) + +// insert a new key-value pair into the tree +val newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18)) +prover.performOneOperation(Insert(newEntry._1, newEntry._2)) + +// generate a proof of inclusion for the tree +val proof = prover.generateProof() +``` +## Questions: + 1. What is the purpose of this code? + - This code defines helper functions for working with authenticated AVL trees in the Ergo Platform DSL. +2. What are the inputs and outputs of the `createAvlTree` function? + - The `createAvlTree` function takes in an `AvlTreeFlags` object and a variable number of key-value pairs represented as `(ADKey, ADValue)` tuples. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. +3. What are the `implicit class`es defined in this code and what do they do? + - The `implicit class`es defined in this code are `ADKeyArrayOps` and `ADKeyValueArrayOps`. They define extension methods for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` objects, respectively. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.md new file mode 100644 index 0000000000..f305203ca7 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/dsl/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl) + +The `AvlTreeHelpers.scala` file in the `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/dsl` folder provides helper functions for working with authenticated AVL trees in the Ergo Platform DSL. Authenticated AVL trees are self-balancing binary search trees that enable efficient insertion, deletion, and lookup operations while ensuring secure and verifiable data storage. They are particularly useful in the context of smart contracts and decentralized applications. + +The main function in this file is `createAvlTree`, which takes a set of flags specifying the allowed operations on the tree (e.g., insert, delete, update) and a set of key-value entries to be inserted into the tree. It returns a tuple containing an `AvlTree` object and a `BatchAVLProver` object. The `AvlTree` object represents the authenticated AVL tree, while the `BatchAVLProver` object is used to generate and verify proofs of inclusion for the tree. + +The `createAvlTree` function works by first creating a new `BatchAVLProver` object with a key length of 32 bytes and no existing tree. It then iterates over the key-value entries and inserts each one into the tree using the `Insert` operation. If all of the insertions are successful, the function generates a proof of inclusion for the tree and returns the `AvlTree` object and `BatchAVLProver` object. + +The `ADKeyArrayOps` and `ADKeyValueArrayOps` classes provide implicit conversions for converting arrays of `ADKey` and `(ADKey, ADValue)` tuples to the `Coll[Coll[Byte]]` and `Coll[(Coll[Byte], Coll[Byte])]` types used by the Ergo Platform DSL. These conversions are used to convert the key-value entries passed to the `createAvlTree` function into the appropriate format for insertion into the AVL tree. + +Here is an example usage of the `createAvlTree` function: + +```scala +import org.ergoplatform.dsl.AvlTreeHelpers._ + +// create an authenticated AVL tree with insert and update operations allowed +val (tree, prover) = createAvlTree(AvlTreeFlags.InsertAllowed | AvlTreeFlags.UpdateAllowed, + (ADKey @@ Array[Byte](1, 2, 3), ADValue @@ Array[Byte](4, 5, 6)), + (ADKey @@ Array[Byte](7, 8, 9), ADValue @@ Array[Byte](10, 11, 12)) +) + +// insert a new key-value pair into the tree +val newEntry = (ADKey @@ Array[Byte](13, 14, 15), ADValue @@ Array[Byte](16, 17, 18)) +prover.performOneOperation(Insert(newEntry._1, newEntry._2)) + +// generate a proof of inclusion for the tree +val proof = prover.generateProof() +``` + +In summary, the code in `AvlTreeHelpers.scala` provides a convenient way to create and work with authenticated AVL trees in the Ergo Platform DSL. It can be used in various contexts where secure and verifiable data storage is required, such as in smart contracts or other decentralized applications. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.md new file mode 100644 index 0000000000..a2a5c00328 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/EmissionRules.scala) + +The `EmissionRules` class in the `org.ergoplatform.mining.emission` package is responsible for defining the coin emission curve for the Ergo blockchain network. The class takes in a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. + +The `coinsTotal` and `blocksTotal` values are lazily computed using a tail-recursive function `loop`. The function calculates the total number of coins issued and the total number of blocks mined on the network. + +The `issuedCoinsAfterHeight` method returns the number of coins issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `remainingCoinsAfterHeight` method returns the number of coins that have not been issued yet after a given height on the blockchain. + +The `emissionAtHeight` method returns the number of coins to be issued at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `minersRewardAtHeight` method returns the number of coins issued at a given height in favor of a miner. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `remainingFoundationRewardAtHeight` method returns the number of coins that should be kept in the foundation box at a given height on the blockchain. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `foundationRewardAtHeight` method returns the number of coins issued at a given height in favor of the foundation. The method takes into account the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. + +Overall, the `EmissionRules` class is an important component of the Ergo blockchain network as it defines the coin emission curve and the rewards for miners and the foundation. It can be used by other components of the network to calculate the number of coins issued at a given height and to determine the remaining coins and rewards. +## Questions: + 1. What is the purpose of the `EmissionRules` class? +- The `EmissionRules` class defines the Ergo coin emission curve and provides methods to calculate the number of coins issued, remaining coins, and rewards for miners and the foundation at a given height. + +2. What are the main properties of the Ergo coin emission curve on the mainnet? +- The main properties of the Ergo coin emission curve on the mainnet are: 1000000000 nanoErgs in one Erg, a block is coming every 2 minutes, fixed rate of 75 coins during the first 2 years, reward reduction for 3 coins every 3 months after that, 19710000 coins after the first year, and 97739925 coins total. + +3. What is the purpose of the `remainingFoundationRewardAtHeight` method? +- The `remainingFoundationRewardAtHeight` method calculates the number of coins which should be kept in the foundation box at a given height, based on the network settings such as founders initial reward, one epoch reduction, epoch length, and fixed rate period. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.md new file mode 100644 index 0000000000..18f745adb0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining/emission) + +The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network. + +The `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`. + +The class provides several methods for calculating coin issuance and rewards at a given height on the blockchain: + +- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain. +- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. + +For example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method: + +```scala +val emissionRules = new EmissionRules(monetarySettings) +val height = 1000 +val minersReward = emissionRules.minersRewardAtHeight(height) +``` + +In summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.md new file mode 100644 index 0000000000..7ef0bee1e1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/mining/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/mining) + +The `EmissionRules.scala` file in the `org.ergoplatform.mining.emission` package is a crucial component of the Ergo blockchain network, as it defines the coin emission curve and the rewards for miners and the foundation. This class is responsible for calculating the number of coins issued at a given height, determining the remaining coins and rewards, and managing the monetary settings of the Ergo blockchain network. + +The `EmissionRules` class takes a `MonetarySettings` object as a parameter, which contains the network settings for the blockchain. It then calculates the total number of coins issued (`coinsTotal`) and the total number of blocks mined (`blocksTotal`) on the network using a tail-recursive function called `loop`. + +The class provides several methods for calculating coin issuance and rewards at a given height on the blockchain: + +- `issuedCoinsAfterHeight`: Returns the number of coins issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `remainingCoinsAfterHeight`: Returns the number of coins that have not been issued yet after a given height on the blockchain. +- `emissionAtHeight`: Returns the number of coins to be issued at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `minersRewardAtHeight`: Returns the number of coins issued at a given height in favor of a miner, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `remainingFoundationRewardAtHeight`: Returns the number of coins that should be kept in the foundation box at a given height, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. +- `foundationRewardAtHeight`: Returns the number of coins issued at a given height in favor of the foundation, considering the fixed rate of 75 coins during the first 2 years and the reward reduction of 3 coins every 3 months after that. + +The `CoinsInOneErgo` object is a constant that defines the number of nanoErgs (minimal non-divisible parts) in one Erg. + +For example, to calculate the miner's reward at a specific height, you can use the `minersRewardAtHeight` method: + +```scala +val emissionRules = new EmissionRules(monetarySettings) +val height = 1000 +val minersReward = emissionRules.minersRewardAtHeight(height) +``` + +In summary, the `EmissionRules` class is an essential part of the Ergo blockchain network, as it manages the coin emission curve and rewards for miners and the foundation. Other components of the network can use this class to calculate the number of coins issued at a given height and to determine the remaining coins and rewards. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.md new file mode 100644 index 0000000000..805fae34c3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/ErgoAlgos.scala) + +The code above defines a trait called ErgoAlgos that provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. The purpose of this code is to provide a secure and efficient way to hash and encode data in the Ergo blockchain. + +The ErgoAlgos trait extends the ScorexEncoding trait, which provides encoding and decoding methods for byte arrays. The ErgoAlgos trait also defines a type alias for the Blake2b256 hash function, which is a secure and efficient cryptographic hash function. + +The hash function is then assigned to a val called "hash". This val can be used to hash data using the Blake2b256 hash function. + +The ErgoAlgos trait also provides two encoding methods: "encode" and "encodeUnsafe". The "encode" method takes an array of bytes and returns a string representation of the encoded bytes. The "encodeUnsafe" method is similar to "encode", but it returns the encoded bytes as an array of bytes instead of a string. + +The ErgoAlgos trait also provides a decoding method called "decode". This method takes a string representation of encoded bytes and returns a Try object that contains the decoded bytes. If the decoding fails, the Try object will contain an exception. The "decodeUnsafe" method is similar to "decode", but it returns the decoded bytes as an array of bytes instead of a Try object. + +Finally, the ErgoAlgos object extends the ErgoAlgos trait, making all of the methods defined in the trait available as static methods. This allows other parts of the Ergo blockchain platform to use these methods without having to create an instance of the ErgoAlgos trait. + +Overall, this code provides a set of secure and efficient cryptographic algorithms and encoding methods that can be used throughout the Ergo blockchain platform. For example, these methods could be used to hash and encode transaction data, block headers, and other important data structures in the Ergo blockchain. +## Questions: + 1. What is the purpose of the ErgoAlgos trait? + The ErgoAlgos trait defines methods for encoding and decoding byte arrays using the Blake2b256 hash function. + +2. What is the HF type alias used for? + The HF type alias is used to define the type of the hash function as Blake2b256. + +3. What is the purpose of the ErgoAlgos object? + The ErgoAlgos object extends the ErgoAlgos trait and provides a singleton instance of the trait for use in other parts of the project. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.md new file mode 100644 index 0000000000..7f39ba0db4 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/settings/MonetarySettings.scala) + +The code above is a configuration file for the monetary settings of the Ergo chain. It defines a case class called MonetarySettings that contains several parameters related to the monetary policy of the chain. These parameters include fixedRatePeriod, epochLength, fixedRate, oneEpochReduction, minerRewardDelay, and foundersInitialReward. + +The fixedRatePeriod parameter is the number of blocks during which the fixed rate of Ergo emission will be maintained. The epochLength parameter is the number of blocks in an epoch. The fixedRate parameter is the fixed rate of Ergo emission per block during the fixed rate period. The oneEpochReduction parameter is the amount by which the fixed rate will be reduced after each epoch. The minerRewardDelay parameter is the number of blocks after which a miner can spend their reward. The foundersInitialReward parameter is the initial reward for the founders of the Ergo chain. + +The MonetarySettings class also defines several properties. The feeProposition property is an ErgoTree that represents the fee proposition for a transaction. The feePropositionBytes property is the serialized bytes of the fee proposition. The emissionBoxProposition property is an ErgoTree that represents the proposition for an emission box. The foundersBoxProposition property is an ErgoTree that represents the proposition for a founders' box. + +This configuration file is used to set the monetary policy of the Ergo chain. It can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. For example, the foundersBoxProposition property can be used to create a founders' box that contains the initial reward for the founders of the Ergo chain. + +Overall, this code provides a way to configure the monetary policy of the Ergo chain and provides ErgoTrees that can be used in other parts of the project to enforce this policy. +## Questions: + 1. What is the purpose of this code file? +- This code file contains the configuration for monetary settings of the Ergo chain. + +2. What are the default values for the monetary settings? +- The default values for the monetary settings include a fixed rate period of 30 * 2 * 24 * 365, an epoch length of 90 * 24 * 30, a fixed rate of 75L * EmissionRules.CoinsInOneErgo, one epoch reduction of 3L * EmissionRules.CoinsInOneErgo, a miner reward delay of 720, and a founder's initial reward of 75L * EmissionRules.CoinsInOneErgo / 10. + +3. What are the ErgoTree objects being created in this code? +- The code creates three ErgoTree objects: feeProposition, emissionBoxProposition, and foundersBoxProposition. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.md new file mode 100644 index 0000000000..8535a4c6fd --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/settings/summary.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings) + +The `.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/settings` folder contains two important files for the Ergo blockchain platform: `ErgoAlgos.scala` and `MonetarySettings.scala`. + +`ErgoAlgos.scala` provides a set of cryptographic algorithms and encoding methods for the Ergo blockchain platform. It defines a trait called `ErgoAlgos` that extends the `ScorexEncoding` trait, which provides encoding and decoding methods for byte arrays. The `ErgoAlgos` trait also defines a type alias for the `Blake2b256` hash function, a secure and efficient cryptographic hash function. This code can be used throughout the Ergo blockchain platform to hash and encode transaction data, block headers, and other important data structures. For example: + +```scala +val data: Array[Byte] = ... +val hashedData: Array[Byte] = ErgoAlgos.hash(data) +val encodedData: String = ErgoAlgos.encode(hashedData) +val decodedData: Try[Array[Byte]] = ErgoAlgos.decode(encodedData) +``` + +`MonetarySettings.scala` is a configuration file for the monetary settings of the Ergo chain. It defines a case class called `MonetarySettings` that contains several parameters related to the monetary policy of the chain, such as `fixedRatePeriod`, `epochLength`, `fixedRate`, `oneEpochReduction`, `minerRewardDelay`, and `foundersInitialReward`. These parameters can be used by other parts of the project to determine the reward for miners, the emission rate of Ergo, and other monetary-related parameters. The `MonetarySettings` class also defines several properties, such as `feeProposition`, `feePropositionBytes`, `emissionBoxProposition`, and `foundersBoxProposition`, which are ErgoTrees that can be used in other parts of the project to enforce the monetary policy. For example: + +```scala +val monetarySettings: MonetarySettings = ... +val feeProposition: ErgoTree = monetarySettings.feeProposition +val emissionBoxProposition: ErgoTree = monetarySettings.emissionBoxProposition +val foundersBoxProposition: ErgoTree = monetarySettings.foundersBoxProposition +``` + +In summary, the code in this folder provides essential cryptographic algorithms and encoding methods for the Ergo blockchain platform, as well as a way to configure the monetary policy of the Ergo chain. These components can be used by other parts of the project to ensure secure and efficient data handling and to enforce the monetary policy of the Ergo chain. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/summary.md new file mode 100644 index 0000000000..7b55246297 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform) + +The code in this folder is essential for handling various aspects of the Ergo blockchain platform, such as Ergo addresses, ErgoBox, transaction inputs, and validation rules. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. + +For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.md new file mode 100644 index 0000000000..7bb272e317 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatus.scala) + +The code defines a set of classes and traits related to the status of rules in a validation system. The `RuleStatus` trait is the base trait for all rule status information and defines a single abstract method `statusCode` which returns a `Byte`. The `RuleStatus` object provides four `Byte` constants representing different rule status codes. + +The `EnabledRule` case object represents the default status of a rule that is registered in the table but has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `EnabledRuleCode`. + +The `DisabledRule` case object represents the status of a rule that is disabled in the current version and has not yet been altered by soft-forks. It extends the `RuleStatus` trait and sets its `statusCode` to `DisabledRuleCode`. + +The `ReplacedRule` case class represents the status of a rule that has been replaced by a new rule via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ReplacedRuleCode`. It takes a `newRuleId` parameter which is the ID of the new rule that replaces the rule marked with this status. + +The `ChangedRule` case class represents the status of a rule whose parameters have been changed via soft-fork extensions. It extends the `RuleStatus` trait and sets its `statusCode` to `ChangedRuleCode`. It takes a `newValue` parameter which is the new value of the block extension value with key == rule.id. It overrides the `hashCode`, `canEqual`, and `equals` methods to ensure proper comparison of `ChangedRule` instances. + +These classes and traits are likely used in a larger project related to blockchain validation. They provide a way to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. The `RuleStatus` trait and its subclasses can be used to define the status of different rules in the system, while the `statusCode` method can be used to retrieve the status code of a particular rule. The `ReplacedRule` and `ChangedRule` classes provide additional information about rules that have been replaced or changed via soft-fork extensions. Overall, this code provides a foundation for managing and tracking the status of rules in a blockchain validation system. +## Questions: + 1. What is the purpose of the RuleStatus trait and its subclasses? +- The RuleStatus trait and its subclasses define the status of a rule in the project and provide information about whether a rule is enabled, disabled, replaced, or changed via soft-fork extensions. + +2. What is the difference between DisabledRule and ReplacedRule? +- DisabledRule represents a rule that is disabled in the current version and can be disabled via block extensions and voting process, while ReplacedRule represents a rule that is replaced by a new rule via soft-fork extensions and requires the new rule to be enabled at the same time. + +3. What is the purpose of the ChangedRule class and its methods? +- The ChangedRule class represents the status of a rule whose parameters are changed via soft-fork extensions and provides a new value of block extension value with key == rule.id. Its methods override hashCode, canEqual, and equals to compare the new value of the rule. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.md new file mode 100644 index 0000000000..49a3885bd5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/RuleStatusSerializer.scala) + +The code above is a Scala implementation of a serializer for the RuleStatus class. The RuleStatusSerializer object extends the SigmaSerializer class, which is a generic serializer for Sigma types. The RuleStatus class is used to represent the status of a rule in the Ergo blockchain. The purpose of this serializer is to convert instances of the RuleStatus class to and from bytes, so that they can be transmitted over the network or stored in a database. + +The RuleStatusSerializer object defines two methods: serialize and parse. The serialize method takes a RuleStatus object and a SigmaByteWriter object as input, and writes the serialized bytes to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the serialized bytes from the SigmaByteReader, and returns a RuleStatus object. + +The RuleStatusSerializer object also defines a measureWrittenBytes method, which takes a function that writes to a SigmaByteWriter as input, and returns the number of bytes that would be written by that function. This method is used to calculate the size of the dataBytes field in the serialized format of a RuleStatus object. + +The RuleStatusSerializer object defines a constant FirstRuleId, which is used to calculate the offset of a new rule in the ReplacedRule case of the serialize method. The serialize method uses pattern matching to determine the type of the RuleStatus object, and writes the appropriate bytes to the SigmaByteWriter. The parse method reads the bytes from the SigmaByteReader, and uses pattern matching to determine the type of the RuleStatus object. + +The RuleStatusSerializer object also defines a comment that describes the format of the serialized bytes for a RuleStatus object. The serialized bytes consist of three fields: dataSize, statusCode, and dataBytes. The dataSize field is a UShort that specifies the number of bytes in the dataBytes field. The statusCode field is a Byte that specifies the type of the RuleStatus object. The dataBytes field is a variable-length field that contains the serialized bytes of the data associated with the RuleStatus object. + +Overall, the RuleStatusSerializer object is an important component of the Ergo blockchain, as it enables RuleStatus objects to be transmitted over the network and stored in a database. The serializer is used by other components of the Ergo blockchain to convert RuleStatus objects to and from bytes. +## Questions: + 1. What is the purpose of the `RuleStatusSerializer` object? +- The `RuleStatusSerializer` object is used to serialize and deserialize `RuleStatus` objects. + +2. What is the format for `RuleStatuses`? +- The format for `RuleStatuses` includes a `dataSize` field (1-2 bytes), a `statusCode` field (1 byte), and a `dataBytes` field (dataSize bytes) that contains the serialized byte if status value. + +3. What is the significance of the `FirstRuleId` constant? +- The `FirstRuleId` constant is used to calculate the offset of a new rule ID in the `ReplacedRule` case of the `serialize` method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.md new file mode 100644 index 0000000000..caaa3f0082 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettings.scala) + +The code in this file defines the configuration of validation rules for the Ergo blockchain platform. The purpose of this code is to provide a type-safe way to define and register validation rules that can be used to validate transactions and blocks on the blockchain. + +The `ValidationRule` instances are implemented as objects and registered in `ValidationRules.currentSettings` to be used in the code to perform validation. The `currentSettings` value represents the validation settings of the current version of the code. The set of rules in `currentSettings` is fixed in the current version of the code, and only rule status can be changed. + +Older versions of the code don't have access to the rules added in newer versions. The implementation of a specific rule, once released under a specific `ruleId`, should never be changed, hence `ruleId` denotes that implementation. However, the behavior of rules (released with code) can be altered by changing their status in block extensions section via voting. + +The status changes are represented in `ValidationSettings` using the `RuleStatus` type. Each descendant class represents a particular change in the rule status. Rule ids are used as keys of the status values stored in the block extension section. `RuleStatus` instances are deserialized from the block extension values. Deserialized `(ruleId, status)` pairs are joined with the `(ruleId, status)` pairs in `currentSettings`, and for matching `ruleIds`, the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized `(ruleId, status)` pairs which don't match with `currentSettings` are ignored. + +Each rule has an associated check of soft-fork condition by implementing the `isSoftFork` method. If `isSoftFork` returns true, then `ValidationException` raised by the rule is interpreted as a soft-fork condition. Depending on the use case, soft-fork condition allows some operations performed by an old code to succeed which otherwise would fail due to `ValidationException` raised by the validation rule. + +The `SigmaValidationSettings` class is an abstract class that defines the interface for accessing and updating the validation rules and their statuses. The `MapSigmaValidationSettings` class is a concrete implementation of `SigmaValidationSettings` that uses a `Map` to store the validation rules and their statuses. + +Overall, this code provides a flexible and extensible way to define and manage validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility. +## Questions: + 1. What is the purpose of the `ValidationRule` class and how is it used in this code? + + The `ValidationRule` class is used to implement each validation rule as an `object` and register it in `ValidationRules.currentSettings` to be used in the code to perform validation. It is also used to associate a check of soft-fork condition by implementing the `isSoftFork` method. + +2. How are rule statuses represented and updated in this code? + + Rule statuses are represented using the `RuleStatus` type and are stored in the block extension section using rule ids as keys. Deserialized (ruleId, status) pairs are joined with the (ruleId,status) pairs in `currentSettings`, and for matching ruleIds the default statuses stored in `currentSettings` are replaced with the new statuses obtained from the blockchain. Deserialized (ruleId,status) pairs which don't match with `currentSettings` are ignored. + +3. What is the purpose of the `isSoftFork` method and how is it used in this code? + + The `isSoftFork` method is used to check if a `ValidationException` raised by a rule is interpreted as a soft-fork condition. If `isSoftFork` returns true, then the exception is interpreted as a soft-fork condition, which allows some operations performed by an old code to succeed which otherwise would fail due to the exception raised by the validation rule. It is used in the `SigmaValidationSettings` class to determine if a `ValidationException` is a soft-fork condition. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.md new file mode 100644 index 0000000000..50770d6bb2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.md @@ -0,0 +1,21 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SigmaValidationSettingsSerializer.scala) + +The `SigmaValidationSettingsSerializer` object is responsible for serializing and deserializing instances of the `SigmaValidationSettings` class. This class represents the validation rules that are used to validate transactions in the Ergo blockchain. The rules are stored as a map of rule IDs to a tuple of a boolean indicating whether the rule is enabled and a `RuleStatus` object that contains additional information about the rule. + +The `serialize` method takes a `SigmaValidationSettings` object and a `SigmaByteWriter` and writes the rules to the writer in a serialized format. The rules are first sorted by their ID and then written to the writer. Each rule is written as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (serialized using the `RuleStatusSerializer`). The number of rules is written as a `UInt` before the rules themselves. + +The `parse` method takes a `SigmaByteReader` and reads the serialized rules from it. The number of rules is read as a `UInt` and then the rules themselves are read in a loop. Each rule is read as a pair of the rule ID (as a `UShort`) and the `RuleStatus` object (parsed using the `RuleStatusSerializer`). The resulting pairs are then filtered to remove any rules that are not present in the current validation settings (i.e., any rules that have been removed since the settings were serialized). Finally, the remaining pairs are used to update a copy of the current validation settings, which is then returned. + +Overall, this object provides a way to serialize and deserialize the validation rules used in the Ergo blockchain. This is important for storing the rules in a database or transmitting them over the network. The serialization format is designed to preserve roundtrip identity, meaning that serializing and then deserializing a set of rules should result in an identical set of rules. However, it may not preserve identity in the other direction (i.e., deserializing and then serializing a set of rules may not result in an identical set of rules). +## Questions: + 1. What is the purpose of this code? + + This code defines a serializer for a class called SigmaValidationSettings, which serializes and deserializes the rules of the validation settings in a specific order. + +2. What is the significance of the `RuleStatusSerializer` object? + + The `RuleStatusSerializer` object is used to serialize and deserialize the status of a validation rule, which is a part of the `SigmaValidationSettings` class. + +3. What is the role of the `ValidationRules.currentSettings` method call in the `parse` method? + + The `ValidationRules.currentSettings` method call retrieves the current validation settings, which are then updated with the parsed rules to create a new `SigmaValidationSettings` object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.md new file mode 100644 index 0000000000..14211d8a1a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/SoftForkChecker.scala) + +This code defines three traits that are used to check for soft-fork conditions in the Ergo blockchain protocol. A soft-fork is a change in the protocol that is backward-compatible, meaning that nodes that have not upgraded to the new version can still validate transactions and blocks created by nodes that have upgraded. + +The `SoftForkChecker` trait defines an interface that must be implemented by objects that can check for soft-fork conditions. It has one method, `isSoftFork`, which takes four parameters: `vs`, `ruleId`, `status`, and `args`. `vs` is an object of type `SigmaValidationSettings` that contains validation settings actualized from blockchain extension sections. `ruleId` is an identifier for the validation rule that raised a `ValidationException`. `status` is the status of the rule in the blockchain, which is agreed upon via voting. `args` are the arguments of the validation rule with which the rule has raised the exception. The method returns a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. + +The `SoftForkWhenReplaced` trait extends `SoftForkChecker` and checks for a specific type of soft-fork condition. It checks that the failed validation rule has a `ReplacedRule` status in the block extensions section. This means that the rule given by `ruleId` is not used in newer versions of the protocol and has been replaced by a new rule given by the `ReplacedRule` status. + +The `SoftForkWhenCodeAdded` trait also extends `SoftForkChecker` and checks for another type of soft-fork condition. It checks that an unknown `code` is present in the `ChangedRule` new value stored in the block extensions section. This is interpreted as a soft-fork condition, meaning that the unknown `code` is not arbitrary but explicitly added to the blockchain configuration and implemented in newer versions of the protocol. + +Overall, these traits are used to check for soft-fork conditions in the Ergo blockchain protocol. They can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol. Here is an example of how the `SoftForkWhenReplaced` trait can be used: + +``` +val checker: SoftForkChecker = new SoftForkWhenReplaced() +val isSoftFork = checker.isSoftFork(vs, ruleId, status, args) +if (isSoftFork) { + // handle soft-fork condition +} else { + // continue with normal validation +} +``` +## Questions: + 1. What is the purpose of the SoftForkChecker trait? + - The SoftForkChecker trait is an interface implemented by objects capable of checking soft-fork conditions. + +2. What is the difference between SoftForkWhenReplaced and SoftForkWhenCodeAdded traits? + - SoftForkWhenReplaced checks if the failed validation rule has ReplacedRule status in block extensions section, while SoftForkWhenCodeAdded checks if the unknown `code` is present in the ChangedRule new value stored in block extensions section. + +3. What is the input and output of the isSoftFork method? + - The input of the isSoftFork method includes ValidationSettings, ruleId, status, and args. The output is a boolean value indicating whether `args` and `status` can be interpreted as a valid soft-fork condition. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.md new file mode 100644 index 0000000000..59311041dc --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/org/ergoplatform/validation/ValidationRules.scala) + +The code defines a set of validation rules for the ErgoScript language, which is used in the Ergo Platform blockchain project. These rules are used to check the correctness of ErgoScript code during deserialization and execution. The rules can be updated via soft-forks, allowing the blockchain to evolve without breaking consensus. + +The `ValidationRule` class is the base class for all validation rules. Each rule has an `id` and a `description`. The actual validation logic is implemented in the `apply` methods of derived classes. The `checkRule` method ensures that the rule is registered and enabled, and is executed only once for each rule. + +The `ValidationException` class is used to communicate soft-fork information when a validation rule fails. It contains the failed rule, the arguments that caused the failure, and an optional cause (another exception). + +The `ValidationRules` object contains a collection of predefined validation rules, such as `CheckDeserializedScriptType`, `CheckDeserializedScriptIsSigmaProp`, `CheckValidOpCode`, and others. These rules are used to check various aspects of ErgoScript code, such as type correctness, opcode validity, and method availability. + +The `trySoftForkable` method is used to execute a block of code that may throw a `ValidationException`. If a soft-fork condition is detected, the `whenSoftFork` block is executed, otherwise, the exception is rethrown. + +In the larger project, these validation rules are used during ErgoScript deserialization and execution to ensure the correctness and safety of the code. For example, when deserializing an ErgoScript, the `CheckDeserializedScriptType` rule can be used to ensure that the deserialized script has the expected type: + +```scala +ValidationRules.CheckDeserializedScriptType(d, script) +``` + +This helps maintain the integrity of the Ergo Platform blockchain by enforcing a set of rules that all ErgoScript code must adhere to. +## Questions: + 1. **Question**: What is the purpose of the `ValidationRule` class and how is it used in the code? + **Answer**: The `ValidationRule` class is a base class for different validation rules registered in `ValidationRules.currentSettings`. Each rule is identified by an `id` and has a description. The validation logic is implemented by the `apply` methods of derived classes. It is used to check soft-forkable conditions and throw `ValidationException` when a rule is violated. + +2. **Question**: How does the `trySoftForkable` function work and when should it be used? + **Answer**: The `trySoftForkable` function is used to execute a block of code that may throw a `ValidationException`. It takes a `whenSoftFork` parameter, which is executed when a soft-fork condition is detected. If the soft-fork condition is not recognized by the given `SigmaValidationSettings`, the `ValidationException` is thrown. This function should be used when checking for possible soft-fork conditions in the context of the given `SigmaValidationSettings`. + +3. **Question**: What is the purpose of the `CheckPositionLimit` validation rule and how does it work? + **Answer**: The `CheckPositionLimit` validation rule is used to check that the reader has not exceeded the position limit during deserialization. It throws a `ValidationException` with the given parameters if the position is greater than the position limit. This rule can be replaced with a new rule and the limit can be increased, allowing for soft-fork conditions to be checked. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.md new file mode 100644 index 0000000000..8a3a68b4aa --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/ergoplatform/validation/summary.md @@ -0,0 +1,45 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org/ergoplatform/validation) + +The code in this folder is related to the validation of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and soft-fork conditions. These components are essential for maintaining the integrity and consistency of the Ergo blockchain. + +The `RuleStatus.scala` file defines a set of classes and traits related to the status of rules in a validation system. These classes and traits are used to track the status of rules and their changes over time, particularly in the context of soft-fork extensions. For example, the `ReplacedRule` class represents the status of a rule that has been replaced by a new rule via soft-fork extensions: + +```scala +val replacedRule = ReplacedRule(newRuleId) +``` + +The `RuleStatusSerializer.scala` file provides a serializer for the `RuleStatus` class, allowing instances to be converted to and from bytes for storage or transmission over the network. The serializer can be used to serialize and deserialize `RuleStatus` objects: + +```scala +val serializedStatus = RuleStatusSerializer.serialize(status, writer) +val deserializedStatus = RuleStatusSerializer.parse(reader) +``` + +The `SigmaValidationSettings.scala` file defines the configuration of validation rules for the Ergo blockchain platform. Developers can define new rules as objects and register them in `ValidationRules.currentSettings` to be used in the code to perform validation. The `RuleStatus` type allows for dynamic changes to the behavior of rules via voting, while the `isSoftFork` method provides a way to handle soft-fork conditions for backward compatibility: + +```scala +val rule = ValidationRules.CheckDeserializedScriptType +val isSoftFork = rule.isSoftFork(vs, rule.id, status, args) +``` + +The `SigmaValidationSettingsSerializer.scala` file provides a serializer for the `SigmaValidationSettings` class, allowing instances to be converted to and from bytes for storage or transmission over the network: + +```scala +val serializedSettings = SigmaValidationSettingsSerializer.serialize(settings, writer) +val deserializedSettings = SigmaValidationSettingsSerializer.parse(reader) +``` + +The `SoftForkChecker.scala` file defines traits for checking soft-fork conditions in the Ergo blockchain protocol. These traits can be used by other parts of the project to ensure that nodes can still validate transactions and blocks even if they have not upgraded to the latest version of the protocol: + +```scala +val checker: SoftForkChecker = new SoftForkWhenReplaced() +val isSoftFork = checker.isSoftFork(vs, ruleId, status, args) +``` + +The `ValidationRules.scala` file defines a set of validation rules for the ErgoScript language. These rules are used to check the correctness of ErgoScript code during deserialization and execution: + +```scala +ValidationRules.CheckDeserializedScriptType(d, script) +``` + +Overall, this folder provides a foundation for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/summary.md new file mode 100644 index 0000000000..f7def79fc3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/org/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/org) + +The code in the `org.ergoplatform` folder is crucial for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. + +For instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.md new file mode 100644 index 0000000000..ae532ddb68 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/AvlTreeData.scala) + +The code defines two case classes, AvlTreeFlags and AvlTreeData, and an object, AvlTreeFlags. The AvlTreeFlags case class is used to represent the allowed operations on an AVL+ tree, which is a self-balancing binary search tree. The insertAllowed, updateAllowed, and removeAllowed fields are Boolean values that indicate whether the corresponding operation is allowed on the tree. The AvlTreeFlags object provides four predefined instances of AvlTreeFlags, namely ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These instances are used to set the allowed operations on an AVL+ tree. + +The AvlTreeData case class is used to represent the data of an AVL+ tree. It contains the authenticated tree digest, treeFlags, keyLength, and valueLengthOpt fields. The authenticated tree digest is the root hash of the tree along with its height. The treeFlags field is an instance of AvlTreeFlags that specifies the allowed operations on the tree. The keyLength field is an integer that represents the length of the keys in the tree. The valueLengthOpt field is an optional integer that represents the length of the values in the tree. + +The AvlTreeFlags object provides two methods, apply and serializeFlags. The apply method is used to create an instance of AvlTreeFlags from a serialized byte. The serializeFlags method is used to serialize an instance of AvlTreeFlags to a byte. The AvlTreeData object provides a serializer object that implements the SigmaSerializer trait. The serializer object is used to serialize and deserialize an instance of AvlTreeData to and from bytes. + +The AvlTreeData object also provides a method, avlTreeFromDigest, that creates an instance of AvlTreeData from a given digest. The method sets the allowed operations on the tree to insertAllowed, updateAllowed, and removeAllowed. The AvlTreeData object also provides two constants, DigestSize and TreeDataSize, that represent the size of the digest and the size of the tree data, respectively. The dummy field is an instance of AvlTreeData that is used as a placeholder. +## Questions: + 1. What is the purpose of the AvlTreeData class? +- The AvlTreeData class is used to efficiently authenticate a potentially huge dataset with a key-value dictionary interface by storing only the root hash of a dynamic AVL+ tree, tree height, key length, optional value length, and access flags. + +2. What are the different flags available in the AvlTreeFlags object? +- The AvlTreeFlags object has four different flags: ReadOnly, AllOperationsAllowed, InsertOnly, and RemoveOnly. These flags determine which modifications are allowed on the AVL tree. + +3. How is the AvlTreeData class serialized and deserialized? +- The AvlTreeData class is serialized using the SigmaSerializer interface, which writes the authenticated tree digest, tree flags, key length, and optional value length to a byte stream. It is deserialized by reading the byte stream and reconstructing the AvlTreeData object from the serialized data. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/CostKind.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/CostKind.md new file mode 100644 index 0000000000..a81e032d1e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/CostKind.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/CostKind.scala) + +The code defines a set of classes and traits that describe the cost of executing operations in the SigmaState project. The `CostKind` trait is an abstract class that is extended by other classes to describe different types of costs. The `FixedCost` class describes a simple fixed cost that is associated with a single operation. The `PerItemCost` class describes the cost of an operation over a collection of known length. It takes into account the cost of the operation factored out of the loop iterations, the cost associated with each chunk of items, and the number of items in a chunk. The `TypeBasedCost` trait is an abstract class that describes the cost of an operation that depends on the type of the input. Finally, the `DynamicCost` object describes the cost of an operation that cannot be described using a fixed set of parameters. + +The purpose of this code is to provide a way to estimate the cost of executing operations in the SigmaState project. This information can be used to optimize the execution of the project by identifying operations that are particularly expensive and finding ways to reduce their cost. For example, if an operation has a high fixed cost, it may be beneficial to avoid using that operation in situations where it is not strictly necessary. + +Here is an example of how the `PerItemCost` class can be used to compute the cost of an operation: + +``` +val baseCost = JitCost(10) +val perChunkCost = JitCost(5) +val chunkSize = 100 +val cost = PerItemCost(baseCost, perChunkCost, chunkSize) +val nItems = 500 +val totalCost = cost.cost(nItems) +``` + +In this example, we create a `PerItemCost` object with a base cost of 10, a per-chunk cost of 5, and a chunk size of 100. We then compute the cost of an operation that processes 500 items. The `cost` method of the `PerItemCost` object computes the total cost of the operation based on the number of items and the chunk size. The `totalCost` variable contains the computed cost. +## Questions: + 1. What is the purpose of the `CostKind` class and its subclasses? +- The `CostKind` class and its subclasses are used to describe the cost of different operations in the `sigmastate` package. + +2. What is the difference between `FixedCost` and `PerItemCost`? +- `FixedCost` describes the cost of a single operation with a fixed cost, while `PerItemCost` describes the cost of an operation over a collection of known length, factoring in the cost of each chunk of items. + +3. Why is there an override of `hashCode()` in the `PerItemCost` class? +- The override of `hashCode()` in the `PerItemCost` class is necessary to avoid JitCost instances allocation in the default generated code for case class. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.md new file mode 100644 index 0000000000..794e8eeb12 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/DataValueComparer.scala) + +The `DataValueComparer` object in the given code provides an implementation for comparing two arbitrary ErgoTree data types for equality. It focuses on the high-level purpose of the code and how it may be used in the larger project. The comparison is performed recursively, descending on the value structure regardless of the depth. However, every step costs are accrued to `E.coster`, and the defined limit `E.coster.costLimit` is checked. Thus, the execution of this method is limited and always finishes at least as fast as the costLimit prescribes. + +The `equalDataValues` method is the main function for comparing two data values. It dispatches on the type of the left value and then performs the specific comparison. The method handles various data types, such as numbers, booleans, collections, tuples, group elements, big integers, sigma properties, AVL trees, options, pre-headers, headers, and boxes. + +For example, when comparing two collections, the `equalColls_Dispatch` method is called, which dispatches to the most efficient implementation depending on the actual type `A`. Similarly, when comparing two SigmaBoolean trees, the `equalSigmaBoolean` method is called. + +The code also defines various cost constants for different types of comparisons, which are part of the consensus protocol and cannot be changed without forking. These constants are used to calculate the cost of each comparison operation, ensuring that the comparison process is efficient and adheres to the protocol's cost limits. + +Overall, the `DataValueComparer` object provides a comprehensive and efficient way to compare ErgoTree data types, which is essential for various operations in the larger project. +## Questions: + 1. **Question**: What is the purpose of the `DataValueComparer` object and its methods? + **Answer**: The `DataValueComparer` object provides an implementation for comparing two arbitrary ErgoTree data types for equality. It contains various methods for comparing different data types, such as collections, tuples, group elements, big integers, etc., and takes into account the cost of each comparison operation. + +2. **Question**: How does the cost of comparison operations affect the execution of the code? + **Answer**: The cost of comparison operations is used to limit the execution time and resources consumed by the code. The ErgoTreeEvaluator keeps track of the accrued costs during the execution, and if the cost limit is reached, the execution is stopped. This ensures that the code execution is always within the defined limits and prevents potential denial-of-service attacks. + +3. **Question**: How does the `equalDataValues` method handle different data types and their comparisons? + **Answer**: The `equalDataValues` method uses pattern matching to dispatch the comparison based on the type of the left value. It then performs the specific comparison for that data type, recursively descending on the value structure. The method also keeps track of the cost of each comparison step and checks against the defined cost limit to ensure the execution stays within the allowed bounds. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.md new file mode 100644 index 0000000000..37679133d2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/InterpreterReflection.scala) + +The `InterpreterReflection` object in the given code is part of a larger project that deals with the evaluation of ErgoTree scripts. ErgoTree is a language used to define spending conditions in the Ergo blockchain platform. This object is responsible for registering various classes, constructors, and methods related to ErgoTree script evaluation. + +The code registers classes like `AND`, `ArithOp`, `AtLeast`, `BinAnd`, `BinOr`, `BinXor`, `BoolToSigmaProp`, `ByteArrayToBigInt`, and many others. These classes represent various operations and data structures used in ErgoTree scripts. For each class, the code registers one or more constructors using the `mkConstructor` method. These constructors are responsible for creating instances of the respective classes. + +Additionally, the code registers methods for some classes like `SAvlTree`, `SCollection`, and `SGlobal`. These methods are used to perform various operations on instances of the respective classes. For example, the `SAvlTree` class has methods like `update_eval`, `contains_eval`, `get_eval`, `getMany_eval`, `remove_eval`, and `insert_eval` registered. These methods are used to perform operations on AVL trees, which are a data structure used in ErgoTree scripts. + +In summary, the `InterpreterReflection` object is responsible for registering classes, constructors, and methods related to ErgoTree script evaluation. These registered components are used in the larger project to evaluate ErgoTree scripts and perform various operations on the Ergo blockchain platform. +## Questions: + 1. **Question**: What is the purpose of the `InterpreterReflection` object and how is it used in the code? + **Answer**: The `InterpreterReflection` object is used to register class entries, constructors, and methods for various classes in the project. This is done to enable reflection-based operations on these classes, such as creating instances, invoking methods, and accessing properties. + +2. **Question**: How are the registered class entries, constructors, and methods used in the code? + **Answer**: The registered class entries, constructors, and methods are used to perform reflection-based operations on the classes. This allows for dynamic creation of instances, invocation of methods, and access to properties at runtime, without knowing the exact class or method signatures at compile time. + +3. **Question**: What is the purpose of the `registerClassEntry` method and how is it used in the code? + **Answer**: The `registerClassEntry` method is used to register a class entry along with its constructors and methods for reflection-based operations. It takes the class, an array of constructors, and a map of methods as arguments. This method is called multiple times in the `InterpreterReflection` object to register various classes and their constructors and methods for reflection-based operations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/JitCost.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/JitCost.md new file mode 100644 index 0000000000..62ae76a4f6 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/JitCost.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/JitCost.scala) + +The code defines a case class called JitCost, which represents cost estimation computed by JITC interpreter. The JITC costs use 10x more accurate scale compared to block cost values. The purpose of this class is to provide a way to perform arithmetic operations on cost values and convert them between JITC and block cost scales. + +The JitCost class has a private constructor and a private value field, which can only be accessed within the sigmastate package. This ensures that the JitCost instances can only be created and manipulated within the package, which is the intended scope of this class. + +The JitCost class provides several methods for performing arithmetic operations on cost values. The `+` method adds two cost values, the `*` method multiplies a cost value by an integer, and the `/` method divides a cost value by an integer. These methods return a new JitCost instance with the result of the operation. + +The JitCost class also provides two comparison methods, `>` and `>=`, which compare the value of two JitCost instances using the normal Int ordering. + +Finally, the JitCost class provides a method called `toBlockCost`, which scales a JitCost value back to block cost value. This method divides the JitCost value by 10 and returns the result as an integer. + +The JitCost object provides a companion method called `fromBlockCost`, which scales a block cost value to the JitCost scale. This method multiplies the block cost value by 10 and returns a new JitCost instance with the result. + +Overall, the JitCost class and its companion object provide a convenient way to perform arithmetic operations on cost values and convert them between JITC and block cost scales. This functionality can be used in the larger project to optimize the cost of executing smart contracts on the blockchain. For example, the JitCost values can be used to estimate the gas cost of executing a smart contract and optimize the contract code accordingly. +## Questions: + 1. What is the purpose of the JitCost class? +- The JitCost class represents cost estimation computed by JITC interpreter and uses a more accurate scale than block cost values. + +2. What methods are available in the JitCost class? +- The JitCost class has methods for adding, multiplying, and dividing cost values, as well as comparing values using normal Int ordering. It also has a method for scaling JitCost back to block cost value. + +3. What is the purpose of the JitCost object? +- The JitCost object has a method for scaling block cost to the JitCost scale, which is the inverse of the toBlockCost method in the JitCost class. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/Operations.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/Operations.md new file mode 100644 index 0000000000..47072fd531 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/Operations.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/Operations.scala) + +This code is part of the SigmaState package and defines a set of operations that can be used in the larger project. The `Operations` object contains a collection of `InfoObject` traits, each representing a specific operation. These operations are alphabetically sorted and generated by the `GenInfoObjects` tool. + +Each `InfoObject` contains a sequence of `ArgInfo` objects, which represent the arguments required for the operation. For example, the `ANDInfo` object represents the logical AND operation and has a single argument `conditionsArg` representing the conditions to be AND-ed together. + +Here are some examples of operations and their arguments: + +- `AppendInfo`: Represents the append operation and has two arguments, `thisArg` and `otherArg`. +- `ApplyInfo`: Represents the apply operation and has two arguments, `funcArg` and `argsArg`. +- `AtLeastInfo`: Represents the atLeast operation and has two arguments, `boundArg` and `childrenArg`. +- `BinAndInfo`: Represents the binary AND operation and has two arguments, `leftArg` and `rightArg`. + +These operations can be used in the larger project to perform various tasks, such as mathematical operations, logical operations, and data manipulation. For example, the `PlusInfo` operation can be used to add two numbers, while the `SliceInfo` operation can be used to extract a portion of a collection. + +In summary, this code provides a collection of operations that can be used in the larger project for various purposes. Each operation is represented by an `InfoObject` containing the necessary argument information, making it easy to understand and use these operations in the project. +## Questions: + 1. **Question**: What is the purpose of the `Operations` object and its nested objects? + **Answer**: The `Operations` object contains a collection of nested objects representing various operations, each with their respective argument information. These objects are used to store information about the operations and their arguments, which can be useful for code generation, documentation, or other purposes. + +2. **Question**: How are the operations sorted in the `Operations` object? + **Answer**: The operations are sorted alphabetically by their names in the `Operations` object. + +3. **Question**: How can a developer use the `Operations` object and its nested objects in their code? + **Answer**: A developer can use the `Operations` object and its nested objects to access information about the operations and their arguments. This can be useful for generating code, documentation, or for other purposes where having structured information about the operations is needed. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/SigSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/SigSerializer.md new file mode 100644 index 0000000000..a1838015e2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/SigSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/SigSerializer.scala) + +The `SigSerializer` class contains the implementation of signature (aka proof) serialization. It provides two main methods: `toProofBytes` and `parseAndComputeChallenges`. + +The `toProofBytes` method takes an `UncheckedTree` as input and recursively traverses the given node to serialize challenges and prover messages to the given writer. The output is an array of bytes containing all the serialized challenges and prover messages. This method is used to serialize the proof bytes for a given `UncheckedTree`. + +The `parseAndComputeChallenges` method takes a sigma proposition `exp` and a proof as input and extracts challenges from the proof. It performs a top-down traversal of the tree and obtains the challenges for the children of every non-leaf node by reading them from the proof or computing them. For every leaf node, it reads the response `z` provided in the proof. The output is an instance of `UncheckedTree`, which is either `NoProof` or `UncheckedSigmaTree`. This method is used to parse the proof bytes and compute the challenges for a given `UncheckedTree`. + +The `SigSerializer` class also defines some constants and helper methods used in the serialization process. For example, it defines the size of challenge in Sigma protocols, in bits, and the number of bytes to represent any group element as a byte array. It also defines the cost of parsing `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` nodes from proof bytes, the cost of parsing `GF2_192_Poly` from proof bytes, and the cost of evaluating a polynomial. + +Overall, the `SigSerializer` class is an important component of the larger project as it provides the implementation of signature serialization and parsing, which is crucial for verifying the correctness of a given proof. +## Questions: + 1. What is the purpose of the `SigSerializer` class? +- The `SigSerializer` class contains implementation of signature (aka proof) serialization and provides methods to serialize and deserialize sigma propositions and commitments. + +2. What is the `toProofBytes` method used for? +- The `toProofBytes` method recursively traverses a given node and serializes challenges and prover messages to a given writer. It returns the proof bytes containing all the serialized challenges and prover messages. + +3. What is the purpose of the `parseAndComputeChallenges` method? +- The `parseAndComputeChallenges` method is used to obtain the challenges for the children of every non-leaf node by reading them from the proof or computing them in a top-down traversal of the tree. It also reads the response z provided in the proof for every leaf node. The method returns an instance of `UncheckedTree` which can be either `NoProof` or `UncheckedSigmaTree`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.md new file mode 100644 index 0000000000..5ceac154ee --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UncheckedTree.scala) + +This code defines a set of classes and traits that represent an unchecked proof tree for a Sigma protocol. The proof tree is a data structure that represents a proof of knowledge of a secret value without revealing the value itself. The proof tree is constructed by a prover and verified by a verifier. The proof tree consists of nodes that represent the prover's commitments and responses to challenges issued by the verifier. The verifier checks the proof tree by verifying that the commitments and responses satisfy certain properties that depend on the protocol being used. + +The main classes and traits defined in this code are: + +- UncheckedTree: a trait that represents a node in an unchecked proof tree. +- NoProof: an object that represents an empty proof tree. +- UncheckedSigmaTree: a trait that extends UncheckedTree and adds a challenge field. +- UncheckedConjecture: a trait that extends UncheckedSigmaTree and represents a conjecture node in the proof tree. A conjecture node represents a logical conjunction or disjunction of its children nodes. +- UncheckedLeaf: a trait that extends UncheckedSigmaTree and represents a leaf node in the proof tree. A leaf node represents a commitment and response to a challenge issued by the verifier. +- UncheckedSchnorr: a case class that extends UncheckedLeaf and represents a leaf node for a Schnorr protocol. A Schnorr protocol is a simple Sigma protocol that proves knowledge of a discrete logarithm. +- UncheckedDiffieHellmanTuple: a case class that extends UncheckedLeaf and represents a leaf node for a Diffie-Hellman protocol. A Diffie-Hellman protocol is a Sigma protocol that proves knowledge of a tuple of discrete logarithms. +- CAndUncheckedNode: a case class that extends UncheckedConjecture and represents a conjunction node in the proof tree. +- COrUncheckedNode: a case class that extends UncheckedConjecture and represents a disjunction node in the proof tree. +- CThresholdUncheckedNode: a case class that extends UncheckedConjecture and represents a threshold node in the proof tree. A threshold node represents a logical threshold of its children nodes. + +The purpose of this code is to provide a data structure for representing an unchecked proof tree for a Sigma protocol. The proof tree can be constructed by a prover and verified by a verifier. The proof tree can be used in the larger project to implement Sigma protocols for various cryptographic applications, such as anonymous credentials, ring signatures, and zero-knowledge proofs. For example, the Schnorr protocol can be used to implement a signature scheme, where the prover proves knowledge of a secret key without revealing the key itself. The Diffie-Hellman protocol can be used to implement a key exchange protocol, where two parties can agree on a shared secret key without revealing the key itself. The conjunction and disjunction nodes can be used to implement logical expressions, such as AND and OR gates, in a circuit that evaluates a boolean function. The threshold node can be used to implement a threshold signature scheme, where a group of signers can jointly sign a message if and only if a certain number of them participate in the signing process. +## Questions: + 1. What is the purpose of the `UncheckedTree` trait and its subclasses? +- The `UncheckedTree` trait and its subclasses define the structure of an unchecked proof tree, which is used in the Sigma protocol for proving and verifying statements about cryptographic primitives. + +2. What is the difference between `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple`? +- `UncheckedSchnorr` and `UncheckedDiffieHellmanTuple` are both subclasses of `UncheckedLeaf` and represent different types of SigmaBoolean propositions. `UncheckedSchnorr` is used for proving knowledge of a discrete logarithm, while `UncheckedDiffieHellmanTuple` is used for proving knowledge of a Diffie-Hellman tuple. + +3. What is the purpose of the `CThresholdUncheckedNode` class and its `polynomialOpt` field? +- The `CThresholdUncheckedNode` class represents a threshold conjecture in the proof tree, where a certain number of child nodes must be satisfied for the conjecture to be true. The `polynomialOpt` field is an optional polynomial used in the threshold signature scheme, which can be used to optimize the verification process. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.md new file mode 100644 index 0000000000..fada3fbdde --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/UnprovenTree.scala) + +The code defines a set of data types and traits that represent a proof tree used by the prover in the Sigma protocol. The proof tree is a tree-like structure that represents a set of Sigma-protocol statements to be proven. The tree is constructed by the prover and is used to generate a proof that can be verified by the verifier. + +The code defines several data types that represent the nodes of the proof tree. The `ProofTree` trait is the base trait for all nodes in the tree. The `ProofTreeLeaf` trait represents a leaf node in the tree, which contains a Sigma-protocol statement to be proven and an optional commitment. The `ProofTreeConjecture` trait represents a non-leaf node in the tree, which contains a set of child nodes and a type of conjecture (AND, OR, or Threshold). + +The `UnprovenTree` trait represents an unproven node in the tree, which contains a Sigma-protocol statement to be proven, a position in the tree, and an optional challenge. The `UnprovenLeaf` trait represents an unproven leaf node in the tree, which contains a Sigma-protocol statement to be proven, an optional commitment, a position in the tree, and an optional challenge. The `UnprovenConjecture` trait represents an unproven non-leaf node in the tree, which contains a set of child nodes, a type of conjecture, a position in the tree, and an optional challenge. + +The `CAndUnproven`, `COrUnproven`, and `CThresholdUnproven` case classes represent unproven nodes in the tree for the AND, OR, and Threshold conjectures, respectively. The `UnprovenSchnorr` and `UnprovenDiffieHellmanTuple` case classes represent unproven leaf nodes in the tree for the Schnorr and Diffie-Hellman Tuple Sigma-protocols, respectively. + +The `FiatShamirTree` object provides a method `toBytes` that converts the proof tree to a byte array for input to the Fiat-Shamir hash function. The method serializes the tree in a way that it can be unambiguously parsed and restored given the array. For each non-leaf node, the string contains its type (OR or AND). For each leaf node, the string contains the Sigma-protocol statement being proven and the commitment. The string does not contain information on whether a node is marked "real" or "simulated", and does not contain challenges, responses, and/or the real/simulated flag for any node. + +Overall, this code provides the necessary data types and serialization methods to represent and serialize a proof tree used in the Sigma protocol. This can be used in the larger project to generate and verify proofs for various Sigma-protocol statements. +## Questions: + 1. What is the purpose of the `ProofTree` hierarchy and how is it used in the project? + + The `ProofTree` hierarchy is used to represent a proof tree used by the prover in the project. It consists of `ProofTreeLeaf` and `ProofTreeConjecture` traits, which are extended by concrete classes representing different types of nodes in the tree. The tree is used to encode the position of a node in a tree, its sigma-protocol statement to be proven, and whether the node represents a simulated sigma-protocol. + +2. What is the purpose of the `NodePosition` class and how is it used in the project? + + The `NodePosition` class is used to encode the position of a node in a tree in the project. It is used to associate a hint with a position in the tree, which is used during evaluation. The position is encoded as a sequence of integers, where each integer represents the index of a child node in the parent node. + +3. What is the purpose of the `FiatShamirTree` object and how is it used in the project? + + The `FiatShamirTree` object is used to convert a proof tree to a byte array for input to the Fiat-Shamir hash function in the project. It provides a `toBytes` method that takes a `ProofTree` and a `SigmaByteWriter` and serializes the tree to the writer. It also provides constants representing the cost of serializing different types of nodes in the tree. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.md new file mode 100644 index 0000000000..5e152ac6c9 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/BcDlogGroup.scala) + +The code defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. The class is used to perform mathematical operations on group elements, such as exponentiation, multiplication, and inversion. The purpose of this class is to provide a common interface for different types of discrete logarithm groups, which can be used in cryptographic protocols. + +The class has several properties, including the modulus of the field, the order of the group, and the maximum length in bytes of a string to be converted to a group element of this group. It also has a generator, which is a group element that generates the entire group, and an identity element, which is the element that does not change any other element when multiplied by it. + +The class has several methods, including exponentiation, multiplication, and inversion of group elements. It also has a method for creating a random member of the group, checking if the order of the group is greater than a given number of bits, and computing the product of several exponentiations of the same base and distinct exponents. + +The class has a nested class called GroupElementsExponentiations, which performs the actual work of pre-computation of the exponentiations for one base. It is composed of two main elements: the group element for which the optimized computations are built for, called the base, and a vector of group elements that are the result of exponentiations of order 1, 2, 4, 8, etc. The constructor creates a map structure in memory and then calculates the exponentiations of order 1, 2, 4, 8 for the given base and saves them in the map. + +The class also has a map for multExponentiationsWithSameBase calculations, which is used to compute the product of several exponentiations of the same base and distinct exponents more quickly by keeping in memory the result of h1, h2, h4, h8, etc. and using it in the calculation. + +Finally, the code defines an object called SecP256K1Group, which is an instance of the BcDlogGroup class with a specific cryptographic context. This object can be used in cryptographic protocols that require a discrete logarithm group with a specific context. +## Questions: + 1. What is the purpose of the `GroupElementsExponentiations` class? +- The `GroupElementsExponentiations` class performs pre-computation of exponentiations for a given base and saves them in a map structure in memory to optimize future exponentiation calculations. + +2. What is the significance of the `k` variable? +- The `k` variable represents the maximum length in bytes of a string that can be converted to a Group Element of this group. It is calculated based on the modulus of the field and is used for encoding and decoding binary strings. + +3. What is the purpose of the `exponentiationsCache` map? +- The `exponentiationsCache` map is used to store pre-computed exponentiations for a given base, so that they can be reused in future exponentiation calculations for the same base. This optimization can significantly speed up exponentiation calculations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.md new file mode 100644 index 0000000000..5a097fe59a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoConstants.scala) + +The code above defines a set of constants and functions related to cryptography for the SigmaState project. The purpose of this code is to provide a set of tools for secure communication and data transfer within the project. + +The `CryptoConstants` object defines several constants related to the cryptographic operations used in the project. The `EncodedGroupElementLength` constant defines the length of the encoded group element in bytes. The `dlogGroup` constant defines the elliptic curve used in the project, which is the SecP256K1 curve. The `secureRandom` constant defines a secure random number generator based on the elliptic curve. The `groupSizeBits` constant defines the size of the group in bits, which is 256 bits. The `groupSize` constant defines the size of the group in bytes, which is 32 bytes. The `groupOrder` constant defines the order of the group, which is a BigInteger. The `hashLengthBits` constant defines the length of the hash function used in the signature scheme, which is 256 bits. The `hashLength` constant defines the length of the hash function in bytes, which is 32 bytes. The `soundnessBits` constant defines the size of the challenge in Sigma protocols, which is 192 bits. + +The `secureRandomBytes` function generates a secure random byte array of a specified length using the `secureRandom` constant defined above. + +Overall, this code provides a set of constants and functions that are used throughout the SigmaState project for secure communication and data transfer. For example, the `secureRandomBytes` function can be used to generate a secure random key for encryption or decryption. The `groupSize` constant can be used to ensure that data is properly encoded and decoded for transfer within the project. The `hashLength` constant can be used to ensure that signatures are properly generated and verified. +## Questions: + 1. What is the purpose of this code? +- This code defines constants and types related to cryptography for the SigmaState project. + +2. What cryptographic algorithms or protocols are being used? +- The code uses the SecP256K1 elliptic curve group, the Blake2b hash function, and Sigma protocols. + +3. What is the significance of the `soundnessBits` variable? +- `soundnessBits` is the size of the challenge in Sigma protocols, and it must be less than the group size in bits. Changing its value requires implementing polynomials over a different field and changing related code. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.md new file mode 100644 index 0000000000..4388fe099c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/CryptoFunctions.scala) + +The code above is a part of the SigmaState project and is located in the sigmastate.basics package. The purpose of this code is to provide a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. + +The `soundnessBytes` value is calculated by dividing the `CryptoConstants.soundnessBits` value by 8. This value is used to determine the number of bytes that should be returned in the resulting hash. + +The `hashFn` method uses the Blake2b256 hash function to generate a 32-byte hash of the input byte array. It then creates a new byte array with a length equal to `soundnessBytes` and copies the first `soundnessBytes` bytes of the hash into the new array. This new array is then returned as the result of the method. + +This code can be used in the larger project to provide a secure and efficient way to hash data. It can be used to hash passwords, user data, and other sensitive information. The resulting hash can be stored in a database or used for authentication purposes. + +Here is an example of how this code can be used: + +```scala +val input = "password123".getBytes("UTF-8") +val hashedInput = CryptoFunctions.hashFn(input) +println(s"Hashed input: ${hashedInput.mkString}") +``` + +This code takes the string "password123" and converts it to a byte array using the UTF-8 encoding. It then passes this byte array to the `hashFn` method, which returns a new byte array containing the first `soundnessBytes` bytes of the hash. Finally, the resulting hash is printed to the console. +## Questions: + 1. What is the purpose of the `CryptoFunctions` object? +- The `CryptoFunctions` object contains a method for hashing an input into a 32-byte hash and returning the first `soundnessBytes` bytes of the hash in a new array. + +2. What is the value of `soundnessBytes` and how is it calculated? +- The value of `soundnessBytes` is calculated by dividing `CryptoConstants.soundnessBits` by 8. It is a lazy val, meaning it is only calculated once and then stored for future use. + +3. What hashing algorithm is used in the `hashFn` method? +- The `hashFn` method uses the Blake2b256 hashing algorithm from the `scorex.crypto.hash` package to hash the input. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.md new file mode 100644 index 0000000000..40f44e8b1f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DLogProtocol.scala) + +The `DLogProtocol` object contains the implementation of the discrete logarithm signature protocol. The protocol is used to prove knowledge of a secret value `w` such that `g^w = value`, where `g` is a generator of a group and `value` is a public key. The protocol consists of three messages: the first message is a commitment to a random value `r`, the second message is a response `z` computed using the secret value `w`, and the third message is a proof that the response `z` is correct. + +The `DLogSigmaProtocol` trait defines the interface for the discrete logarithm sigma protocol. The `ProveDlog` case class represents a public key of the protocol. It extends the `SigmaProofOfKnowledgeLeaf` trait, which is a leaf node of the sigma protocol tree. The `ProveDlog` object contains a `PropositionCode` that identifies the type of the proposition. + +The `DLogProverInput` case class represents the private input of the protocol. It contains the secret value `w`. The `FirstDLogProverMessage` case class represents the first message of the protocol, which is a commitment to a random value `r`. The `SecondDLogProverMessage` case class represents the second message of the protocol, which is a response `z` computed using the secret value `w`. + +The `DLogInteractiveProver` object contains functions to generate the first and second messages of the protocol, as well as to simulate the protocol. The `firstMessage` function generates a random value `r` and computes the first message `a = g^r`, where `g` is a generator of the group. The `secondMessage` function computes the second message `z = r + ew mod q`, where `e` is the challenge from the verifier and `q` is the order of the group. The `simulate` function simulates the protocol by generating a random value `z` and computing the first message `a = g^z * h^(-e)`, where `h` is the public key and `e` is the challenge. + +The `computeCommitment` function computes the commitment to randomness based on the verifier's challenge and the prover's response. It computes `a = g^z/h^e`, where `g` is the generator of the group, `h` is the public key, `z` is the response, and `e` is the challenge. + +Overall, the `DLogProtocol` object provides the implementation of the discrete logarithm signature protocol, which can be used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization. +## Questions: + 1. What is the purpose of the `DLogProtocol` object? +- The `DLogProtocol` object contains implementations of the discrete logarithm signature protocol, including helper functions for generating random secrets and computing commitments. + +2. What is the `ProveDlog` case class used for? +- The `ProveDlog` case class represents a public key in the discrete logarithm signature protocol and is used to construct a new `SigmaBoolean` value. + +3. What is the purpose of the `DLogInteractiveProver` object? +- The `DLogInteractiveProver` object contains functions for generating the first and second messages of the discrete logarithm signature protocol, as well as simulating the protocol and computing the prover's commitment to randomness. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.md new file mode 100644 index 0000000000..365cdbac29 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DiffieHellmanTupleProtocol.scala) + +The code defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme. The DHT protocol is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The protocol is based on the discrete logarithm problem, which is believed to be hard to solve in practice. The Sigma protocol is a type of zero-knowledge proof that allows one party (the prover) to convince another party (the verifier) that they know a secret without revealing the secret itself. + +The code defines several classes and methods that implement the DHT Sigma protocol. The `DiffieHellmanTupleProtocol` trait defines the interface for the protocol, which includes two message types (`FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage`) and a private input type (`DiffieHellmanTupleProverInput`). The `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points (`g`, `h`, `u`, and `v`). The `DiffieHellmanTupleInteractiveProver` object defines methods for generating the two messages required by the protocol (`firstMessage` and `secondMessage`) and for simulating the protocol (`simulate`). The `computeCommitment` method computes the prover's commitment to randomness based on the verifier's challenge and the prover's response. + +The `DiffieHellmanTupleProverInput` case class represents the private input to the protocol, which consists of a random value `w` and the public input `commonInput`. The `random` method generates a random private input by selecting a random value `w` and computing the corresponding elliptic curve points `u` and `v` based on the public input `commonInput`. + +The `FirstDiffieHellmanTupleProverMessage` case class represents the first message sent by the prover to the verifier. The message consists of two elliptic curve points `a` and `b`, which are computed as `a = g^r` and `b = h^r`, where `r` is a random value selected by the prover. + +The `SecondDiffieHellmanTupleProverMessage` case class represents the second message sent by the prover to the verifier. The message consists of a single value `z`, which is computed as `z = r + ew mod q`, where `r` is the random value selected by the prover, `e` is the verifier's challenge, `w` is the prover's private input, and `q` is the order of the elliptic curve group. + +The `ProveDHTuple` case class represents the public input to the protocol, which consists of four elliptic curve points `g`, `h`, `u`, and `v`. The `size` method returns the number of nodes in the corresponding Sigma tree, which is four in this case. The `ProveDHTupleProp` object provides an extractor for matching SigmaProp values and extracting `ProveDHTuple` objects from them. + +Overall, this code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project. The `DiffieHellmanTupleInteractiveProver` object can be used to generate the two messages required by the protocol, while the `computeCommitment` method can be used to compute the prover's commitment to randomness. The `ProveDHTuple` case class represents the public input to the protocol, which can be used to construct a new `SigmaProp` value representing the public key of the DHT signature scheme. +## Questions: + 1. What is the purpose of the `DiffieHellmanTupleProtocol` trait and its associated case classes? +- The `DiffieHellmanTupleProtocol` trait defines the structure of a Sigma protocol for proving knowledge of a Diffie-Hellman tuple. The `FirstDiffieHellmanTupleProverMessage` and `SecondDiffieHellmanTupleProverMessage` case classes represent the messages sent by the prover during the protocol. + +2. What is the `ProveDHTuple` case class used for? +- The `ProveDHTuple` case class represents the public input to the Diffie-Hellman tuple protocol, consisting of four elliptic curve points. It also implements the `SigmaProofOfKnowledgeLeaf` trait, which defines methods for verifying the protocol. + +3. What is the purpose of the `DiffieHellmanTupleInteractiveProver` object? +- The `DiffieHellmanTupleInteractiveProver` object contains methods for generating the messages sent by the prover during the Diffie-Hellman tuple protocol, as well as simulating the protocol for testing purposes. It also includes a method for computing the prover's commitment to randomness based on the verifier's challenge and the prover's response. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.md new file mode 100644 index 0000000000..fcc123b465 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/DlogGroup.scala) + +The code defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. The discrete logarithm problem is a mathematical problem that involves finding a unique integer x given a generator g of a finite group G and a random element h in G such that g^x = h. In cryptography, groups for which the discrete logarithm problem is assumed to be hard are of interest. The most known groups of that kind are some Elliptic curve groups. + +The DlogGroup trait has several methods that are used to perform operations on the group. The generator method returns the generator of the Dlog group, which is an element of the group such that, when written multiplicatively, every element of the group is a power of the generator. The order method returns the order of the Dlog group, and the identity method returns the identity element of the Dlog group. + +The trait also has methods for performing operations on group elements. The inverseOf method calculates the inverse of a given group element, and the exponentiate method raises a base group element to the exponent. The multiplyGroupElements method multiplies two group elements. + +The trait also has methods for creating random elements and generators of the Dlog group. The createRandomElement method creates a random member of the Dlog group, and the createRandomGenerator method creates a random generator of the Dlog group. + +The exponentiateWithPreComputedValues method computes the product of several exponentiations of the same base and distinct exponents. An optimization is used to compute it more quickly by keeping in memory the result of h1, h2, h4,h8,... and using it in the calculation. The endExponentiateWithPreComputedValues method cleans up any resources used by exponentiateWithPreComputedValues for the requested base. + +Finally, the maxLengthOfByteArrayForEncoding method returns the maximum length of a string to be encoded to a Group Element of this group. Any string of length k has a numeric value that is less than (p-1)/2 - 1. k is the maximum length a binary string is allowed to be in order to encode the said binary string to a group element and vice-versa. If a string exceeds the k length, it cannot be encoded. + +Overall, the DlogGroup trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups. +## Questions: + 1. What is the purpose of this code? +- This code defines the general interface for the discrete logarithm prime-order group and provides methods for performing various operations on the group. + +2. What is the significance of the `ElemType` type parameter? +- `ElemType` is a concrete type that represents an element of the Dlog group. It is used throughout the interface to specify the type of input and output for various methods. + +3. What is the purpose of the `createRandomGenerator` method? +- The `createRandomGenerator` method generates a random generator of the Dlog group. In prime order groups, every element except the identity is a generator, so this method generates a random element and checks if it is the identity. If it is, it generates a new random element until a non-identity element is found. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.md new file mode 100644 index 0000000000..75eab861ad --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/basics/SigmaProtocolFunctions.scala) + +The code provided is a part of the SigmaState project and contains a set of traits and classes that abstract Sigma protocols. Sigma protocols are a type of cryptographic protocol that allows two parties to prove knowledge of a secret without revealing the secret itself. The purpose of this code is to provide functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization. + +The `TranscriptMessage` trait is an abstract trait that represents a message sent between two parties during a Sigma protocol interaction. The `ProverMessage` and `VerifierMessage` traits extend `TranscriptMessage` and represent messages sent by the prover and verifier, respectively. The `VerifierMessage` object contains a `Challenge` type that represents a challenge from the verifier in a Sigma protocol. + +The `FirstProverMessage` and `SecondProverMessage` traits extend `ProverMessage` and represent the first and second messages sent by the prover in a Sigma protocol. These messages are denoted as `a` and `z` in the Sigma protocol. + +The `SigmaProtocol` trait is an abstract template for Sigma protocols. It defines two associated types, `A` and `Z`, which represent the first and second prover messages, respectively. The `SigmaProtocolCommonInput` trait represents the common input to a Sigma protocol, and the `SigmaProtocolPrivateInput` trait represents the private input to a Sigma protocol. + +Overall, this code provides a foundation for creating and interacting with Sigma protocols in a secure and efficient manner. It can be used as a building block for larger projects that require cryptographic protocols for secure communication and data exchange. Below is an example of how the `Challenge` type can be used: + +``` +import sigmastate.basics.VerifierMessage.Challenge + +val challenge: Challenge = Challenge(Array[Byte](1, 2, 3)) +``` +## Questions: + 1. What is the purpose of this code and what problem does it solve? + + This code provides functionality for abstracting Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. It also includes serialization/deserialization capabilities. + +2. What are the different types of messages defined in this code and how are they used in Sigma protocols? + + There are three types of messages defined in this code: `TranscriptMessage`, `ProverMessage`, and `VerifierMessage`. `ProverMessage` and `VerifierMessage` are used in Sigma protocol interactions, with `FirstProverMessage` and `SecondProverMessage` representing the first and second messages from the prover, respectively. `VerifierMessage` includes a `Challenge` object representing the challenge from the verifier. + +3. What is the purpose of the `SigmaProtocol` trait and its associated types? + + The `SigmaProtocol` trait is an abstract template for Sigma protocols, with associated types `A` and `Z` representing the first and second prover messages, respectively. It is used to define the structure and behavior of Sigma protocols in a generic way, allowing for flexibility and extensibility in implementing specific protocols. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/summary.md new file mode 100644 index 0000000000..2ebf56ee8e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/basics/summary.md @@ -0,0 +1,19 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/basics) + +The code in this folder provides the foundation for working with discrete logarithm groups and Sigma protocols in the SigmaState project. Discrete logarithm groups are used in cryptography for secure communication and data transfer, while Sigma protocols are cryptographic protocols that allow two parties to prove knowledge of a secret without revealing the secret itself. + +The `BcDlogGroup.scala` file defines an abstract class called BcDlogGroup, which is a basic implementation of a discrete logarithm group. This class provides a common interface for different types of discrete logarithm groups and can be used in cryptographic protocols. The `SecP256K1Group` object is an instance of the BcDlogGroup class with a specific cryptographic context, which can be used in cryptographic protocols that require a discrete logarithm group with a specific context. + +The `CryptoConstants.scala` file defines a set of constants and functions related to cryptography for the SigmaState project. These constants and functions are used throughout the project for secure communication and data transfer, such as generating secure random keys for encryption or decryption, and ensuring that data is properly encoded and decoded for transfer within the project. + +The `CryptoFunctions.scala` file provides a hash function that takes an input byte array and returns a new byte array containing the first `soundnessBytes` bytes of the hash. This code can be used to hash passwords, user data, and other sensitive information, and the resulting hash can be stored in a database or used for authentication purposes. + +The `DLogProtocol.scala` file contains the implementation of the discrete logarithm signature protocol, which is used to prove knowledge of a secret value in a secure way. The protocol is used in the larger project to provide secure authentication and authorization. + +The `DiffieHellmanTupleProtocol.scala` file defines a Sigma protocol for the Diffie-Hellman Tuple (DHT) signature scheme, which is a cryptographic primitive that allows two parties to establish a shared secret over an insecure channel. The code provides the necessary functionality for implementing the DHT Sigma protocol in a larger project. + +The `DlogGroup.scala` file defines a trait called DlogGroup, which is the general interface for the discrete logarithm prime-order group. This trait provides a set of methods for performing operations on a discrete logarithm prime-order group, which is useful in cryptography and other applications that involve mathematical groups. + +The `SigmaProtocolFunctions.scala` file contains a set of traits and classes that abstract Sigma protocols, providing functionality for creating and interacting with Sigma protocols, including interactive and non-interactive protocols, zero-knowledge proofs, commitments, and signatures. Additionally, the code provides support for JSON and ultra-compact binary serialization/deserialization. + +Overall, the code in this folder serves as a building block for larger projects that require cryptographic protocols for secure communication and data exchange. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.md new file mode 100644 index 0000000000..f994d6b4c3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/BigIntegers.scala) + +The `BigIntegers` object in the `sigmastate.crypto` package provides utility functions for working with `BigInteger` objects in Scala. + +The `createRandom` method generates a random byte array of length `nBytes` (calculated from the input `bitLength`), and then strips off any excess bits in the most significant byte to ensure that the resulting `BigInteger` has the desired bit length. This method is used internally by the other methods in the object to generate random `BigInteger` values. + +The `createRandomBigInteger` method generates a random `BigInteger` with the specified bit length using the `createRandom` method. The resulting `BigInteger` is guaranteed to be positive. + +The `createRandomInRange` method generates a random `BigInteger` between the specified `min` and `max` values (inclusive) using the `createRandomBigInteger` method. If `min` is greater than `max`, the method throws an `IllegalArgumentException`. If `min` has a bit length greater than half of `max`'s bit length, the method recursively calls itself with `min` set to 0 and `max` set to `max - min`, and then adds `min` to the resulting `BigInteger`. This is done to avoid bias in the random number generation when the range is small compared to the maximum possible value of a `BigInteger`. If the maximum number of iterations is reached without finding a suitable `BigInteger`, the method falls back to a faster (but less secure) method of generating a random `BigInteger`. + +The `asUnsignedByteArray` methods convert a `BigInteger` to an unsigned byte array of the specified length. The first method pads the resulting byte array with leading zeros as necessary, while the second method removes any leading zero byte that may be present in the signed encoding of the `BigInteger`. + +Overall, the `BigIntegers` object provides convenient methods for generating and manipulating random `BigInteger` values in a secure and unbiased manner. These methods may be used in various cryptographic protocols and applications that require the use of large integers. + +Example usage: + +```scala +import sigmastate.crypto.BigIntegers +import scala.util.Random + +val random = new Random() + +// Generate a random 256-bit positive BigInteger +val randomBigInt = BigIntegers.createRandomBigInteger(256, random) + +// Generate a random BigInteger between 100 and 200 (inclusive) +val min = new BigInteger("100") +val max = new BigInteger("200") +val randomInRange = BigIntegers.createRandomInRange(min, max, random) + +// Convert a BigInteger to an unsigned byte array of length 32 +val byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt) +``` +## Questions: + 1. What is the purpose of this code? +- This code provides utility functions for working with BigIntegers in the context of cryptography, including generating random BigIntegers and converting them to byte arrays. + +2. What is the significance of the MAX_ITERATIONS constant? +- The MAX_ITERATIONS constant is used as a limit for the number of attempts to generate a random BigInteger within a specified range. If the limit is reached without finding a suitable value, a fallback method is used. + +3. Why is the asUnsignedByteArray method necessary? +- The asUnsignedByteArray method is necessary because the toByteArray method of BigInteger includes a leading sign bit, which may cause issues when working with cryptographic protocols that require unsigned byte arrays. This method removes the sign bit and pads the resulting byte array with leading zeros as necessary. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.md new file mode 100644 index 0000000000..55f0a6665b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.md @@ -0,0 +1,44 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoContext.scala) + +The code above defines an abstract class called CryptoContext, which serves as a blueprint for implementing cryptographic operations in a larger project. The class contains several abstract methods that must be implemented by any concrete class that extends it. + +The first two methods, getModulus and getOrder, return BigInteger values that represent the modulus and order of the elliptic curve used in the cryptographic operations. These values are important for ensuring the security of the cryptographic system. + +The next three methods, validatePoint, getInfinity, and decodePoint, all deal with elliptic curve points. The validatePoint method takes two BigInteger values, x and y, and returns an Ecp object that represents a point on the elliptic curve. This method is used to validate that a given point is indeed on the curve. The getInfinity method returns an Ecp object that represents the point at infinity on the elliptic curve. Finally, the decodePoint method takes an array of bytes that represents a point on the curve and returns an Ecp object that represents that point. + +The last method, getGenerator, returns an Ecp object that represents the generator point of the elliptic curve. This point is used in various cryptographic operations, such as key generation and signature verification. + +Overall, the CryptoContext class provides a high-level interface for performing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve. + +Example usage: + +``` +// create a concrete class that extends CryptoContext +class MyCryptoContext extends CryptoContext { + def getModulus: BigInteger = ... + + def getOrder: BigInteger = ... + + def validatePoint(x: BigInteger, y: BigInteger): Ecp = ... + + def getInfinity(): Ecp = ... + + def decodePoint(encoded: Array[Byte]): Ecp = ... + + def getGenerator: Ecp = ... +} + +// use the concrete class to perform cryptographic operations +val context = new MyCryptoContext() +val point = context.validatePoint(x, y) +val generator = context.getGenerator() +``` +## Questions: + 1. What is the purpose of this `CryptoContext` class? + - The `CryptoContext` class is an abstract class that defines methods for working with elliptic curve cryptography, including getting the modulus and order, validating points, getting the infinity point, decoding points, and getting the generator. + +2. What is the `Ecp` class and how is it related to this `CryptoContext` class? + - The `Ecp` class is likely a class that represents a point on an elliptic curve. It is related to the `CryptoContext` class because several of the methods in `CryptoContext` take `Ecp` objects as parameters or return them. + +3. What is the expected input and output of the `validatePoint` method? + - The `validatePoint` method takes two `BigInteger` parameters (`x` and `y`) that likely represent the coordinates of a point on an elliptic curve. It returns an `Ecp` object, which may represent the same point if it is valid, or throw an exception if it is not valid. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.md new file mode 100644 index 0000000000..4c0eac4504 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/CryptoFacade.scala) + +The `CryptoFacade` object in the `sigmastate.crypto` package provides a set of utility functions for cryptographic operations used in the larger project. + +The object defines several constants, including `Encoding`, which is set to "UTF-8", `SecretKeyLength`, which is set to 32, and `BitcoinSeed`, which is an array of bytes representing the string "Bitcoin seed". It also defines `Pbkdf2Algorithm`, which is set to "PBKDF2WithHmacSHA512", `Pbkdf2Iterations`, which is set to 2048, and `Pbkdf2KeyLength`, which is set to 512. These constants are used in various functions defined in the object. + +The object defines several utility functions for elliptic curve cryptography (ECC) operations, including `normalizePoint`, `negatePoint`, `isInfinityPoint`, `exponentiatePoint`, `multiplyPoints`, `showPoint`, `testBitZeroOfFieldElem`, `getEncodedOfFieldElem`, `getEncodedPoint`, `getXCoord`, `getYCoord`, `getAffineXCoord`, and `getAffineYCoord`. These functions take as input and output various ECC-related data types, such as `Ecp` and `ECFieldElem`. These functions are used to perform ECC operations in the larger project. + +The object also defines several utility functions for generating and manipulating cryptographic keys and random numbers, including `createSecureRandom`, `hashHmacSHA512`, and `generatePbkdf2Key`. These functions are used to generate and manipulate cryptographic keys and random numbers in the larger project. + +Finally, the object defines a function `normalizeChars` that normalizes a sequence of char values using NFKD normalization form. This function is used to normalize mnemonic phrases and passwords before generating a PBKDF2 key. + +Overall, the `CryptoFacade` object provides a set of utility functions for performing various cryptographic operations used in the larger project, including ECC operations, key generation and manipulation, and random number generation. +## Questions: + 1. What is the purpose of the CryptoFacade object? +- The CryptoFacade object provides various utility functions related to cryptography, such as point operations, random number generation, and key derivation. + +2. What is the significance of the BitcoinSeed constant? +- The BitcoinSeed constant is used as the key parameter for the hashHmacSHA512 function, which is used in key derivation. + +3. What is the role of the Platform object in this code? +- The Platform object provides an abstraction layer for platform-specific implementations of cryptographic operations, allowing the code to be used across different platforms. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.md new file mode 100644 index 0000000000..4782e202df --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/GF2_192_Poly.scala) + +The GF2_192_Poly class is a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. + +The constructor GF2_192_Poly(coeff0, moreCoeffs) constructs the polynomial given the byte array representation of the coefficients. The coefficient of degree zero is given separately, and each coefficient should be given as a 24-byte representation of a GF2_192 value. Coefficient of degree 1 should start at moreCoeffs[0]. + +The method evaluate(x) evaluates the polynomial at a given point x. The method addMonicTimesConstantTo(p, r) adds r*p to this polynomial, assuming p is monic, c.length>p.deg, and (p.deg == this.deg+1, or this==0 and p==1). The method monicTimesMonomial(r) multiplies this polynomial by (x+r), assuming this is monic of degree deg (i.e. assumed c[deg]==1). + +The method toByteArray(coeff0) returns a byte array that contains the concatenation of all the coefficients (except possibly the degree-0 coefficient, which is omitted if coeff0 is false). The lowest-degree coefficient (0 or 1 depending on coeff0) starts at index 0 of the returned array. Each coefficient takes 24 bytes, for a total of degree*24 bytes if coeff0 is false, or (degree+1)*24 bytes if coeff0 is true. + +The method interpolate(points, values, valueAt0) interpolates the polynomial at given points (and at point 0, if valueAt0!=null). If points are not all distinct, or if 0 is in the points array and valueAt0!=null, behavior is undefined. valueAt0 is separated only for efficiency reason; the caller can treat 0 like any other point instead (i.e., the points array can include 0 if valueAt0==null, but computation will be slightly less efficient). If points is null, or values is null, or if lengths of points and values arrays differ, or if the arrays are 0 length and valueAt0 is null, returns null. The method returns the unique lowest-degree polynomial p such that for every i, p(points[i]) = values[i] and p(0)=valueAt0 (if valueAt0!=null). + +Overall, the GF2_192_Poly class provides a useful tool for working with polynomials over the finite field GF(2^192) and can be used in cryptographic applications that require polynomial interpolation and evaluation. +## Questions: + 1. What is the purpose of the GF2_192_Poly class? +- The GF2_192_Poly class represents a polynomial with coefficients in the finite field GF(2^192). It provides methods for constructing, evaluating, and manipulating such polynomials. + +2. What is the format of the byte arrays used to represent the polynomial coefficients? +- Each coefficient is represented as a 24-byte array, which is the byte representation of a GF2_192 value. The byte arrays for the coefficients are concatenated to form a larger byte array. + +3. What is the purpose of the interpolate method in the GF2_192_Poly object? +- The interpolate method takes in arrays of distinct points and their corresponding values, and returns the unique lowest-degree polynomial that passes through those points. If a value is provided for the point x=0, the resulting polynomial will also evaluate to that value at x=0. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/package.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/package.md new file mode 100644 index 0000000000..29ea0565d3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/package.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/crypto/package.scala) + +This code defines two type aliases, `Ecp` and `ECFieldElem`, within the `crypto` package object of the `sigmastate` project. These aliases are used to refer to instances of an Elliptic Curve point and an Elliptic Curve field element, respectively. + +The purpose of this code is to provide a convenient way to refer to these types throughout the `sigmastate` project. By defining these aliases, developers can use `Ecp` and `ECFieldElem` instead of typing out the full names of these types every time they are used. This can make the code more readable and easier to maintain. + +Here is an example of how these aliases might be used in the larger project: + +```scala +import sigmastate.crypto._ + +val point1: Ecp = // create an instance of an Elliptic Curve point +val point2: Ecp = // create another instance of an Elliptic Curve point + +val sum: Ecp = point1.add(point2) // add the two points together +``` + +In this example, we import the `crypto` package object from the `sigmastate` project, which includes the `Ecp` type alias. We then create two instances of `Ecp` and add them together using the `add` method provided by the `Ecp` class. By using the `Ecp` alias instead of the full class name, the code is more concise and easier to read. + +Overall, this code provides a simple but useful abstraction for working with Elliptic Curve points and field elements in the `sigmastate` project. +## Questions: + 1. What is the purpose of the `crypto` package object? + + The `crypto` package object defines type aliases for `Ecp` and `ECFieldElem` from the `Platform` object, which are likely used for cryptographic operations involving elliptic curves. + +2. What is the `Ecp` type alias used for? + + The `Ecp` type alias is used to represent an instance of an elliptic curve point, which is likely used in cryptographic operations involving elliptic curves. + +3. What is the `ECFieldElem` type alias used for? + + The `ECFieldElem` type alias is used to represent an element of an elliptic curve field, which is likely used in cryptographic operations involving elliptic curves. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/summary.md new file mode 100644 index 0000000000..62c0d0fa6a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/crypto/summary.md @@ -0,0 +1,53 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/crypto) + +The `sigmastate.crypto` package in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder provides utility functions and classes for cryptographic operations used in the larger project. It contains several files that deal with different aspects of cryptography, such as working with large integers, elliptic curve cryptography, and polynomial operations over finite fields. + +`BigIntegers.scala` provides utility functions for working with `BigInteger` objects in Scala. It includes methods for generating random `BigInteger` values with specified bit lengths and ranges, as well as converting `BigInteger` objects to unsigned byte arrays. These methods can be used in various cryptographic protocols and applications that require the use of large integers. + +```scala +import sigmastate.crypto.BigIntegers +import scala.util.Random + +val random = new Random() + +// Generate a random 256-bit positive BigInteger +val randomBigInt = BigIntegers.createRandomBigInteger(256, random) + +// Generate a random BigInteger between 100 and 200 (inclusive) +val min = new BigInteger("100") +val max = new BigInteger("200") +val randomInRange = BigIntegers.createRandomInRange(min, max, random) + +// Convert a BigInteger to an unsigned byte array of length 32 +val byteArray = BigIntegers.asUnsignedByteArray(32, randomBigInt) +``` + +`CryptoContext.scala` defines an abstract class called `CryptoContext`, which serves as a blueprint for implementing cryptographic operations using elliptic curves. Concrete classes that extend this class can implement the abstract methods to provide specific functionality for a particular elliptic curve. + +```scala +// create a concrete class that extends CryptoContext +class MyCryptoContext extends CryptoContext { + def getModulus: BigInteger = ... + + def getOrder: BigInteger = ... + + def validatePoint(x: BigInteger, y: BigInteger): Ecp = ... + + def getInfinity(): Ecp = ... + + def decodePoint(encoded: Array[Byte]): Ecp = ... + + def getGenerator: Ecp = ... +} + +// use the concrete class to perform cryptographic operations +val context = new MyCryptoContext() +val point = context.validatePoint(x, y) +val generator = context.getGenerator() +``` + +`CryptoFacade.scala` provides a set of utility functions for cryptographic operations, including elliptic curve cryptography (ECC) operations, key generation and manipulation, and random number generation. These functions can be used throughout the larger project for various cryptographic tasks. + +`GF2_192_Poly.scala` defines a polynomial class that represents a polynomial over the finite field GF(2^192). The class provides methods for constructing a polynomial from its byte array representation, evaluating the polynomial at a given point, adding a monic polynomial to this polynomial, multiplying this polynomial by a monomial, and converting the polynomial to a byte array representation. This class can be used in cryptographic applications that require polynomial interpolation and evaluation. + +Overall, the `sigmastate.crypto` package provides a collection of utility functions and classes for performing various cryptographic operations, which can be used throughout the larger project to ensure the security and correctness of the implemented protocols and applications. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.md new file mode 100644 index 0000000000..05748750ca --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/BigIntegerOps.scala) + +The code provided defines two objects, `OrderingOps` and `NumericOps`, which contain traits and implicit objects for handling ordering and arithmetic operations on BigIntegers. + +The `OrderingOps` object defines two traits, `BigIntegerOrdering` and `BigIntOrdering`, which extend the `Ordering` trait and implement the `compare` method for comparing `BigInteger` and `BigInt` values, respectively. The object also defines implicit objects for each trait, which can be used to provide ordering for `BigInteger` and `BigInt` values in other parts of the code. + +The `NumericOps` object defines two traits, `BigIntIsIntegral` and `BigIntIsExactIntegral`, which extend the `Integral` and `ExactIntegral` traits, respectively, and provide implementations for arithmetic operations on `BigInt` values. The `BigIntIsIntegral` trait defines methods for addition, subtraction, multiplication, negation, and conversion to various numeric types, as well as a `rem` method for computing the remainder of a division operation. The `BigIntIsExactIntegral` trait extends `ExactIntegral` and provides implementations for the same arithmetic operations, as well as a `divisionRemainder` method for computing the remainder of a division operation. + +The `BigIntIsExactOrdering` object extends `ExactOrderingImpl` and provides an implementation of the `compare` method for comparing `BigInt` values using the `BigIntIsIntegral` trait. + +Overall, these objects provide a set of tools for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values, which can be used in other parts of the project to perform computations and comparisons involving these types. For example, the `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively. +## Questions: + 1. What is the purpose of the `OrderingOps` object? +- The `OrderingOps` object provides implicit ordering instances for `BigInteger` and `BigInt` types. + +2. What is the difference between `BigIntIsIntegral` and `BigIntIsExactIntegral`? +- `BigIntIsIntegral` provides a base implementation of integral methods for `BigInt`, while `BigIntIsExactIntegral` is an instance of the `ExactIntegral` typeclass for `BigInt` that provides exact arithmetic operations. + +3. What is the purpose of the `divisionRemainder` method in `BigIntIsExactIntegral`? +- The `divisionRemainder` method is used to implement the `%` operation of ErgoTree for all numeric types, including `BigInt`. It corresponds to the `mod` method of `java.math.BigInteger`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.md new file mode 100644 index 0000000000..d796ae99c9 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/CostingDataContext.scala) + +This code provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. The main purpose of this code is to provide a way to work with Sigma-State values and operations in a more user-friendly manner, by wrapping them in higher-level abstractions. + +The main classes and traits implemented in this code are: + +- `WrapperOf[T]`: A trait for wrapper classes that provide access to the underlying wrapped value of type `T`. +- `CBigInt`: A default implementation of the `BigInt` interface, wrapping a `BigInteger` value. +- `CGroupElement`: A default implementation of the `GroupElement` interface, wrapping an `Ecp` value (elliptic curve point). +- `CSigmaProp`: A default implementation of the `SigmaProp` interface, wrapping a `SigmaBoolean` value. +- `CAvlTreeVerifier`: An implementation of the `AvlTreeVerifier` trait based on `BatchAVLVerifier`. +- `CAvlTree`: A default implementation of the `AvlTree` interface, wrapping an `AvlTreeData` value. +- `CAnyValue`: A default implementation of the `AnyValue` interface, wrapping a value of any type `A`. +- `CostingBox`: A default implementation of the `Box` interface, wrapping an `ErgoBox` value. +- `CPreHeader`: A default implementation of the `PreHeader` interface. +- `CHeader`: A default implementation of the `Header` interface. +- `CostingSigmaDslBuilder`: A default implementation of the `SigmaDslBuilder` interface, providing methods for constructing Sigma-State values and operations. +- `CostingDataContext`: A default implementation of the `Context` interface, providing access to various context data and methods. + +These implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods. +## Questions: + 1. **Question**: What is the purpose of the `WrapperOf[T]` trait? + **Answer**: The `WrapperOf[T]` trait is an interface implemented by wrapper classes to provide access to the underlying wrapped value of type `T`. It has a single method `wrappedValue` which returns the data value wrapped by the implementing class. + +2. **Question**: How does the `CBigInt` class handle arithmetic operations like addition, subtraction, and multiplication? + **Answer**: The `CBigInt` class handles arithmetic operations by calling the corresponding methods on the wrapped `BigInteger` value and then wrapping the result back into a `CBigInt` instance. For example, in the `add` method, it calls `wrappedValue.add(...)` and then wraps the result using `dsl.BigInt(...)`. It also ensures that the result is a 256-bit value using the `to256BitValueExact` method. + +3. **Question**: How does the `CAvlTree` class handle tree operations like insert, update, and remove? + **Answer**: The `CAvlTree` class handles tree operations by creating a `CAvlTreeVerifier` instance with the current tree data and then performing the corresponding operation using the `BatchAVLVerifier` methods. For example, in the `insert` method, it calls `bv.performOneOperation(Insert(...))` for each entry to be inserted. After all operations are performed, it updates the tree digest if the operation was successful. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.md new file mode 100644 index 0000000000..2fe29a925e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Evaluation.scala) + +The Evaluation object in the sigmastate.eval package provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object contains several methods that are used to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl, which is used during evaluation. + +The stypeToRType method takes an SType object and returns the corresponding RType descriptor of SigmaDsl. The method uses pattern matching to match the SType object with the corresponding RType descriptor. The method also optimizes the conversion process using memoization. + +The rtypeToSType method takes an RType descriptor of SigmaDsl and returns the corresponding serializable ErgoTree type descriptor. The method uses pattern matching to match the RType descriptor with the corresponding ErgoTree type descriptor. The method also optimizes the conversion process using memoization. + +The rtypeOf method tries to reconstruct the RType of a given value. If successful, it returns the RType descriptor. The method uses pattern matching to match the value with the corresponding RType descriptor. + +The fromDslTuple method converts SigmaDsl representation of a tuple to ErgoTree serializable representation. The method takes a value and a tuple type descriptor and returns a collection of values. + +The toDslTuple method converts ErgoTree serializable representation of a tuple to SigmaDsl representation. The method takes a collection of values and a tuple type descriptor and returns a tuple. + +Overall, the Evaluation object provides essential helper methods for evaluating ErgoScript expressions in the Sigma protocol. The object is used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl. +## Questions: + 1. What is the purpose of the `Evaluation` object? +- The `Evaluation` object provides helper methods for evaluating ErgoScript expressions. + +2. What is the `addCostChecked` method used for? +- The `addCostChecked` method is used to accumulate cost while checking if the total cost exceeds a given limit. If the new cost exceeds the limit, a `CostLimitException` is thrown. + +3. What is the purpose of the `rtypeOf` method? +- The `rtypeOf` method tries to reconstruct the `RType` of a given value. If successful, it returns the `RType`. If not, it returns a failure. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.md new file mode 100644 index 0000000000..4cac886d6c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Exceptions.scala) + +The code above defines a final class called "InvalidType" that extends the built-in Exception class in Scala. The purpose of this class is to provide a custom exception that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. + +In the context of the larger project, this class is likely used in conjunction with other classes and methods in the "sigmastate.eval" package to evaluate Sigma expressions. Sigma is a language for writing smart contracts on the blockchain, and the "sigmastate.eval" package contains classes and methods for evaluating Sigma expressions in a type-safe manner. + +When an invalid type is encountered during evaluation, the "InvalidType" exception can be thrown with a custom error message. This allows the calling code to handle the exception in a way that is appropriate for the specific use case. For example, if the Sigma expression is part of a smart contract, the exception could be caught and handled in a way that ensures the contract is executed correctly and securely. + +Here is an example of how the "InvalidType" exception could be used in code: + +``` +def evaluateExpression(expr: SigmaExpr): Any = { + expr match { + case IntConstant(i) => i + case BooleanConstant(b) => b + case StringConstant(s) => s + case _ => throw new InvalidType("Invalid expression type") + } +} +``` + +In this example, the "evaluateExpression" method takes a Sigma expression as input and returns the result of evaluating the expression. If the expression is not an integer, boolean, or string constant, the "InvalidType" exception is thrown with a custom error message. This ensures that the calling code can handle the exception appropriately and prevent any unexpected behavior or security vulnerabilities. +## Questions: + 1. What is the purpose of the `InvalidType` class? + + The `InvalidType` class is an exception class that is used to indicate an invalid type in the Sigma programming language. + +2. Why is the `InvalidType` class marked as `final`? + + The `final` keyword is used to indicate that the `InvalidType` class cannot be subclassed. This is likely done to prevent unintended modifications to the exception handling behavior. + +3. Where is the `InvalidType` class used in the project? + + Without additional context, it is difficult to determine where the `InvalidType` class is used in the project. It is possible that it is used in various places throughout the codebase to handle invalid type errors. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.md new file mode 100644 index 0000000000..e401cb0db0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Extensions.scala) + +The code in this file defines various extension methods and implicit classes that can be used throughout the larger project. These extensions and classes provide additional functionality and convenience methods for working with various data types and structures. + +The `ByteExt`, `IntExt`, and `LongExt` implicit classes provide methods for converting these primitive types to `BigInt`. This can be useful when working with cryptographic operations that require large integers. + +The `ArrayOps` and `EvalIterableOps` implicit classes provide a `toColl` method that converts an array or iterable to a `Coll` object from the `special.collection` package. This can be useful when working with collections in the project. + +The `EvalCollOps` implicit class provides a `toConstant` method that wraps a `Coll` object into a `ConstantNode` with the appropriate `SCollectionType`. This can be useful when constructing expressions for the Sigma protocol. + +The `DslDataOps` implicit class provides a `toTreeData` method that creates a `Constant` object from any data type that has an associated `RType`. This can be useful when constructing expressions for the Sigma protocol. + +The `toAnyValue` method creates a `CAnyValue` object from any data type that has an associated `RType`. This can be useful when working with generic data types. + +The `ErgoBoxOps` implicit class provides a `toTestBox` method that converts an `ErgoBox` object to a `CostingBox` object. This can be useful when working with boxes in the Ergo platform. + +The `showECPoint` method converts an `Ecp` object to a string representation. This can be useful when working with elliptic curve cryptography. + +The `EcpOps` implicit class provides a `toGroupElement` method that converts an `Ecp` object to a `GroupElement` object from the `special.sigma` package. This can be useful when working with elliptic curve cryptography in the Sigma protocol. + +The `GroupElementOps` implicit class provides a `showToString` method that converts a `GroupElement` object to a string representation. This can be useful when working with elliptic curve cryptography in the Sigma protocol. + +The `DBufferOps` implicit class provides a `sumAll` method that sums all elements in a `DBuffer` object from the `debox` package. This can be useful when working with buffers in the project. + +Overall, this file provides a variety of extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures. +## Questions: + 1. What is the purpose of the `Extensions` object? +- The `Extensions` object contains several implicit classes and methods that extend the functionality of existing classes and types. + +2. What is the purpose of the `toConstant` method in the `EvalCollOps` class? +- The `toConstant` method wraps a collection into a `ConstantNode` using the collection's element type, which can be useful for passing collections as arguments to functions that expect constants. + +3. What is the purpose of the `showECPoint` method? +- The `showECPoint` method takes an `Ecp` object and returns a string representation of the point, either "INF" if the point is infinity or the result of calling `CryptoFacade.showPoint` on the point otherwise. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.md new file mode 100644 index 0000000000..2297194314 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/Profiler.scala) + +The code defines a simple profiler to measure the average execution times of ErgoTree operations. It consists of several classes and methods to collect, store, and analyze the profile measurements. + +`StatHolder` is an abstract class that holds a series of profile measurements associated with a key. It provides methods to compute simple statistics like count, sum, average, and mean. + +`StatCollection` is a class that collects profiler measured data points associated with keys. It groups points by key into `StatHolder`s. It provides methods to get the mean value for a given key, add a data point, and map each entry of the collected mapping to a new array of values using a given function. + +`Profiler` is the main class that measures the execution times of ErgoTree operations. It maintains a stack of `OpStat` instances, which represent the evaluation of a node in the ErgoTree. The `onBeforeNode` and `onAfterNode` methods are called before and after the evaluation of a node, respectively. These methods update the timing stats for the operations and methods using `addOpTime` and `addMcTime`. + +The `addCostItem` method is used to add the cost item and its execution time to the `costItemsStat` collection. The `addEstimation` and `addJitEstimation` methods are used to add estimated cost and actual measured time data points to the `estimationCostStat` and `measuredTimeStat` collections for a given script. + +The `generateReport` method generates a report containing operation timing tables using the collected execution profile information. It sorts and formats the data into a readable string representation. + +In the larger project, this profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times. +## Questions: + 1. **What is the purpose of the `StatHolder` and `StatCollection` classes?** + + The `StatHolder` class holds a series of profile measurements associated with a key and allows computing simple statistic data. The `StatCollection` class collects profiler measured data points associated with keys, grouping points by key into `StatHolder`s. + +2. **How does the `Profiler` class work and what is its main functionality?** + + The `Profiler` class is a simple profiler to measure average execution times of ErgoTree operations. It maintains a stack of `OpStat` objects to track the execution times of operations and provides methods like `onBeforeNode` and `onAfterNode` to be called by the evaluator during the execution of nodes. It also collects and maintains various statistics related to operation timings, method calls, and cost items. + +3. **How does the `generateReport` method work and what information does it provide?** + + The `generateReport` method generates a report based on the collected execution profile information. It creates tables for operation timings, method calls, cost items, and estimation costs, sorting and formatting the data for better readability. The report provides information about execution times, counts, suggested costs, actual costs, and other relevant details for each operation, method call, and cost item. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/package.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/package.md new file mode 100644 index 0000000000..044b00fbaf --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/package.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/eval/package.scala) + +The code defines a package object called "eval" within the "sigmastate" package. It contains several implicit conversions and utility functions that can be used in the larger project. + +The `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods that are not available in Dsl code and not in the `SigmaDslBuilder` interface. For example, methods like `Box` and `toErgoBox` are available here but not in Dsl. + +The `Colls` object is the primary reference to global `Coll` operations. It can be used to create collections from an array, etc. + +The `TupleColl` function is a constructor of tuple values with more than two items. Such long tuples are represented as `Coll[Any]`. This representation of tuples is different from the representation of pairs `(x, y)`, where `Tuple2` type is used instead of `Coll`. + +The `BaseDigestColl` trait is a tagged type for `Coll[Byte]`. The `Digest32Coll` object extends `BaseDigestColl` and defines a type alias `Digest32Coll` for `Digest32Coll.Type`. The `Digest32CollRType` and `Digest32RType` are implicit conversions between `Coll[Byte]` and `Digest32Coll` and `Array[Byte]` and `Digest32`, respectively. + +The code also defines several implicit conversions between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` and `bigIntToBigInteger` are implicit conversions between `BigInteger` and `BigInt`. Similarly, `ecPointToGroupElement` and `groupElementToECPoint` are implicit conversions between `EcPointType` and `GroupElement`, and `sigmaBooleanToSigmaProp` and `sigmaPropToSigmaBoolean` are implicit conversions between `SigmaBoolean` and `SigmaProp`. + +Finally, the code defines implicit conversions between `AvlTreeData` and `AvlTree` and between `ErgoBox` and `Box`. + +Overall, this code provides utility functions and implicit conversions that can be used in the larger project to simplify code and improve readability. +## Questions: + 1. What is the purpose of the `SigmaDsl` object and what methods does it contain? +- The `SigmaDsl` object is the primary reference to the global instance of `CostingSigmaDslBuilder`. It contains methods such as `Box` and `toErgoBox` that are not available in Dsl code or in the `SigmaDslBuilder` interface. + +2. What is the purpose of the `Colls` object and how can it be used? +- The `Colls` object is the primary reference to global `Coll` operations and can be used to create collections from arrays, etc. + +3. What are the implicit conversions defined in this code and what types do they convert between? +- The implicit conversions defined in this code convert between Dsl types and the types wrapped by the corresponding Dsl types. For example, `bigIntegerToBigInt` converts from `java.math.BigInteger` to `BigInt`, while `sigmaBooleanToSigmaProp` converts from `SigmaBoolean` to `SigmaProp`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/summary.md new file mode 100644 index 0000000000..5c5a9884ce --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/eval/summary.md @@ -0,0 +1,17 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval) + +The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/eval` folder provides essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol. These tools are used throughout the larger project to perform computations, comparisons, and evaluations involving data types such as `BigInteger`, `BigInt`, `ErgoTree`, and `SigmaDsl`. + +For example, the `BigIntegerOps.scala` file provides traits and implicit objects for handling ordering and arithmetic operations on `BigInteger` and `BigInt` values. These tools can be used in other parts of the project to perform computations and comparisons involving these types. The `BigIntIsExactIntegral` trait could be used to perform arithmetic operations on `BigInt` values in a way that ensures exact results, while the `BigIntegerOrdering` and `BigIntOrdering` traits could be used to sort collections of `BigInteger` and `BigInt` values, respectively. + +The `CostingDataContext.scala` file provides default implementations for various interfaces used in the Sigma-State language, which is the core language for Ergo smart contracts. These implementations are used in the larger project to work with Sigma-State values and operations in a more user-friendly and efficient way. For example, the `CBigInt` class provides methods for arithmetic operations on big integers, while the `CGroupElement` class provides methods for working with elliptic curve points. The `CostingSigmaDslBuilder` class provides a way to construct Sigma-State values and operations, and the `CostingDataContext` class provides access to various context data and methods. + +The `Evaluation.scala` file provides helper methods for evaluating ErgoScript expressions in the Sigma protocol. These methods are used extensively in the larger project to convert between ErgoTree serializable type descriptors and the corresponding RType descriptors of SigmaDsl. + +The `Exceptions.scala` file defines a custom exception class called "InvalidType" that can be thrown when an invalid type is encountered during evaluation of a Sigma expression. This allows the calling code to handle the exception in a way that is appropriate for the specific use case. + +The `Extensions.scala` file defines various extension methods and implicit classes that can be used throughout the larger project to provide additional functionality and convenience methods for working with various data types and structures. + +Finally, the `Profiler.scala` file defines a simple profiler to measure the average execution times of ErgoTree operations. This profiler can be used to analyze the performance of ErgoTree operations and help optimize their execution times. + +Overall, the code in this folder plays a crucial role in the larger project by providing essential tools and utilities for handling various data types, operations, and evaluations in the context of the Ergo blockchain and the Sigma protocol. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.md new file mode 100644 index 0000000000..c3f9083372 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/CompilerExceptions.scala) + +The code provided is a set of exception classes that are used in the Sigma programming language compiler. The Sigma programming language is used to write smart contracts on the Ergo blockchain. The purpose of these exception classes is to provide detailed error messages to the user when an error occurs during the compilation process. + +The `CompilerException` class is the base class for all the other exception classes. It takes in a message, an optional `SourceContext` object, and an optional `Throwable` object. The `SourceContext` object is used to provide information about the location of the error in the source code. The `getMessage` method is overridden to provide a more detailed error message that includes the line number and column where the error occurred. + +The `BinderException`, `TyperException`, `BuilderException`, and `CosterException` classes are all subclasses of `CompilerException`. They are used to represent specific types of errors that can occur during the compilation process. The `BinderException` class is used to represent errors that occur during the binding phase of compilation. The `TyperException` class is used to represent errors that occur during the type checking phase of compilation. The `BuilderException` class is used to represent errors that occur during the construction phase of compilation. The `CosterException` class is used to represent errors that occur during the cost estimation phase of compilation. + +Overall, these exception classes are an important part of the Sigma programming language compiler. They provide detailed error messages to the user, which can help them identify and fix errors in their code. Here is an example of how these exception classes might be used in the larger project: + +``` +try { + // code that compiles Sigma smart contract +} catch { + case e: BinderException => println("Error during binding phase: " + e.getMessage) + case e: TyperException => println("Error during type checking phase: " + e.getMessage) + case e: BuilderException => println("Error during construction phase: " + e.getMessage) + case e: CosterException => println("Error during cost estimation phase: " + e.getMessage) + case e: CompilerException => println("Error during compilation: " + e.getMessage) +} +``` + +In this example, the code that compiles the Sigma smart contract is wrapped in a try-catch block. If an exception is thrown during the compilation process, the appropriate exception class is caught and a detailed error message is printed to the console. +## Questions: + 1. What is the purpose of the `CompilerException` class? + + The `CompilerException` class is a custom exception class that extends `SigmaException` and is used to handle exceptions that occur during the compilation process of the Sigma programming language. It takes a message, an optional source context, and an optional cause as parameters. + +2. What are the differences between the `BinderException`, `TyperException`, and `BuilderException` classes? + + The `BinderException`, `TyperException`, and `BuilderException` classes are all custom exception classes that extend `CompilerException`. They are used to handle exceptions that occur during the binding, typing, and building phases of the compilation process, respectively. Each class takes a message and an optional source context as parameters. + +3. What is the purpose of the `CosterException` class? + + The `CosterException` class is a custom exception class that extends `CompilerException` and is used to handle exceptions that occur during the cost estimation phase of the compilation process. It takes a message, an optional source context, and an optional cause as parameters. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.md new file mode 100644 index 0000000000..2d8b91b79e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.md @@ -0,0 +1,42 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/ConstraintFailed.scala) + +The code above defines a class called `ConstraintFailed` that extends the `BuilderException` class. The purpose of this class is to represent an exception that occurs when a constraint is not satisfied in the context of the Sigma state language. + +The `ConstraintFailed` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. + +This class is part of the `sigmastate.exceptions` package, which is likely used throughout the larger project to handle exceptions related to the Sigma state language. + +Here is an example of how this class might be used in the larger project: + +```scala +import sigmastate.exceptions.ConstraintFailed +import sigmastate.lang.SourceContext + +def checkConstraint(value: Int): Unit = { + if (value < 0) { + throw new ConstraintFailed("Value must be greater than or equal to 0", Some(SourceContext.current())) + } +} + +try { + checkConstraint(-1) +} catch { + case e: ConstraintFailed => println(e.getMessage) +} +``` + +In this example, the `checkConstraint` function checks if a given value is greater than or equal to 0. If the value is less than 0, a `ConstraintFailed` exception is thrown with an appropriate error message and source context. The exception is then caught and the error message is printed to the console. + +Overall, the `ConstraintFailed` class is an important part of the larger project's error handling system for the Sigma state language. It allows developers to easily handle exceptions related to constraints not being satisfied. +## Questions: + 1. What is the purpose of the `ConstraintFailed` class? + + The `ConstraintFailed` class is a final class that extends the `BuilderException` class and is used to represent an exception that occurs when a constraint fails. + +2. What is the significance of the `source` parameter in the `ConstraintFailed` constructor? + + The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes. + +3. What is the relationship between the `ConstraintFailed` class and the `sigmastate.exceptions` package? + + The `ConstraintFailed` class is defined within the `sigmastate.exceptions` package, which suggests that it is part of a larger set of exception classes that are specific to the `sigmastate` module. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.md new file mode 100644 index 0000000000..9c00e181a1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/InvalidArguments.scala) + +The code above defines a class called `InvalidArguments` that extends the `BinderException` class. This class is located in the `sigmastate.exceptions` package. The purpose of this class is to represent an exception that occurs when invalid arguments are passed to a function or method. + +The `InvalidArguments` class takes two parameters: `message` and `source`. The `message` parameter is a string that represents the error message associated with the exception. The `source` parameter is an optional parameter that represents the source context of the exception. + +The `InvalidArguments` class is marked as `final`, which means that it cannot be extended by any other class. This is likely done to ensure that the behavior of the exception is consistent across the entire project. + +This class can be used in the larger project to handle exceptions that occur when invalid arguments are passed to functions or methods. For example, if a function expects an integer as an argument, but a string is passed instead, the `InvalidArguments` exception can be thrown with an appropriate error message. + +Here is an example of how this class can be used: + +```scala +def divide(a: Int, b: Int): Int = { + if (b == 0) { + throw new InvalidArguments("Cannot divide by zero") + } + a / b +} +``` + +In the example above, the `divide` function checks if the `b` parameter is zero. If it is, the `InvalidArguments` exception is thrown with the error message "Cannot divide by zero". This ensures that the function does not attempt to divide by zero, which would result in a runtime error. + +Overall, the `InvalidArguments` class is an important part of the project's error handling mechanism. It allows developers to handle exceptions related to invalid arguments in a consistent and predictable way. +## Questions: + 1. What is the purpose of the `InvalidArguments` class? + + The `InvalidArguments` class is a custom exception class that extends the `BinderException` class. It is used to handle errors related to invalid arguments passed to a function or method. + +2. What is the significance of the `SourceContext` parameter in the constructor of `InvalidArguments`? + + The `SourceContext` parameter is an optional parameter that can be used to provide additional context information about where the exception occurred in the source code. This can be useful for debugging purposes. + +3. What other exceptions does the `sigmastate.exceptions` package contain? + + Without further information, it is impossible to determine what other exceptions the `sigmastate.exceptions` package contains. However, it is likely that it contains other custom exception classes that are used to handle specific types of errors in the `sigmastate` library. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.md new file mode 100644 index 0000000000..353bb3e137 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaExceptions.scala) + +The code above defines several exception classes that are used in the larger project. These exceptions are used to handle errors that may occur during the execution of the project. + +The `SigmaException` class is the base class for all the exceptions defined in this file. It takes in a message and an optional cause, which is a Throwable object that caused the exception. This class extends the built-in `Exception` class in Scala. + +The `SerializerException` class is a subclass of `SigmaException` and is used to handle errors that occur during serialization. It takes in a message and an optional cause, just like `SigmaException`. + +The `InterpreterException` class is another subclass of `SigmaException` and is used to handle errors that occur during interpretation. It takes in a message and an optional cause, just like `SigmaException`. + +The `CostLimitException` class is also a subclass of `SigmaException` and is used to handle errors that occur when the estimated cost of executing a program exceeds a certain limit. It takes in an estimated cost, a message, and an optional cause. The estimated cost is a long value that represents the estimated cost of executing a program, while the message is a string that describes the error. + +The `CostLimitException` class also defines a companion object that contains a single method called `msgCostLimitError`. This method takes in two `JitCost` objects, `cost` and `limit`, and returns a string that describes the error. This method is used to generate error messages when a `CostLimitException` is thrown. + +Overall, this code provides a set of exception classes that can be used to handle errors that may occur during the execution of the larger project. These exceptions can be thrown when an error occurs, and the appropriate error message can be generated using the methods provided by these classes. For example, if the estimated cost of executing a program exceeds a certain limit, a `CostLimitException` can be thrown with an appropriate error message generated using the `msgCostLimitError` method. +## Questions: + 1. What is the purpose of the `SigmaException` class and its subclasses? +- The `SigmaException` class and its subclasses (`SerializerException`, `InterpreterException`, and `CostLimitException`) are used to represent different types of exceptions that can occur in the `sigmastate` package. + +2. What is the `CostLimitException` class used for? +- The `CostLimitException` class is used to represent an exception that occurs when the estimated execution cost of a program exceeds a specified limit. + +3. What is the `msgCostLimitError` method in the `CostLimitException` object used for? +- The `msgCostLimitError` method in the `CostLimitException` object is used to generate an error message for a `CostLimitException` instance, given the estimated cost and the limit. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.md new file mode 100644 index 0000000000..7bfc6d2a2f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaSerializerExceptions.scala) + +This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle specific error scenarios that may occur during serialization and deserialization of data. + +The first exception, `InvalidTypePrefix`, is thrown by the `TypeSerializer` class when the type prefix is less than or equal to zero. This exception is used to handle cases where the type prefix is invalid, which can occur when the serialized data is corrupted or malformed. + +The second exception, `ReaderPositionLimitExceeded`, is thrown when the current reader position is greater than the position limit set in the `Reader` class. This exception is used to handle cases where the serialized data is too large or exceeds the specified limit. + +The third exception, `DeserializeCallDepthExceeded`, is thrown when the current depth level is greater than the maximum depth level set in the `Reader` class. This exception is used to handle cases where the serialized data contains too many nested structures, which can cause a stack overflow or other memory-related issues. + +The fourth exception, `InvalidOpCode`, is thrown by the `ValidationRules.CheckValidOpCode` validation rule. This exception is used to handle cases where the serialized data contains an invalid opcode, which can occur when the data is corrupted or malformed. + +Overall, these custom exceptions are an important part of the larger project as they provide a way to handle specific error scenarios that may occur during serialization and deserialization of data. By using these exceptions, the project can ensure that errors are handled in a consistent and predictable manner, which can help to improve the overall reliability and stability of the system. + +Example usage of these exceptions in the project may look like this: + +``` +try { + // code that performs serialization or deserialization +} catch { + case e: InvalidTypePrefix => // handle invalid type prefix error + case e: ReaderPositionLimitExceeded => // handle reader position limit exceeded error + case e: DeserializeCallDepthExceeded => // handle deserialize call depth exceeded error + case e: InvalidOpCode => // handle invalid opcode error + case _ => // handle other errors +} +``` +## Questions: + 1. What is the purpose of the `SerializerException` class? + - The `SerializerException` class is the parent class for all the exceptions defined in this file and is used to handle exceptions related to serialization. + +2. What are the different types of exceptions defined in this file and when are they thrown? + - The different types of exceptions defined in this file are `InvalidTypePrefix`, `ReaderPositionLimitExceeded`, `DeserializeCallDepthExceeded`, and `InvalidOpCode`. They are thrown when the type prefix is less than or equal to 0, the current reader position exceeds the position limit, the current depth level exceeds the maximum depth level, and the opcode is invalid respectively. + +3. What is the purpose of the `cause` parameter in the exception classes? + - The `cause` parameter is an optional parameter that can be used to specify the underlying cause of the exception. It can be used to provide additional information about the exception to aid in debugging. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.md new file mode 100644 index 0000000000..8c11f5adf3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.md @@ -0,0 +1,45 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/exceptions/SigmaTyperExceptions.scala) + +This code defines four custom exception classes that are used in the larger project. These exceptions are used to handle errors related to invalid binary and unary operation parameters, method not found, and non-applicable method. + +The `InvalidBinaryOperationParameters` and `InvalidUnaryOperationParameters` classes are used to handle errors that occur when the parameters passed to a binary or unary operation are invalid. These exceptions are thrown when the type of the parameters is not compatible with the operation being performed. For example, if the code tries to perform a binary operation on two values of different types, an `InvalidBinaryOperationParameters` exception will be thrown. + +The `MethodNotFound` class is used to handle errors that occur when a method is not found. This exception is thrown when the code tries to call a method that does not exist. For example, if the code tries to call a method that has been misspelled or does not exist in the current context, a `MethodNotFound` exception will be thrown. + +The `NonApplicableMethod` class is used to handle errors that occur when a method is not applicable. This exception is thrown when the code tries to call a method with parameters that are not compatible with the method's signature. For example, if the code tries to call a method that expects an integer parameter with a string parameter, a `NonApplicableMethod` exception will be thrown. + +Overall, these custom exception classes are an important part of the larger project as they help to handle errors that occur during the execution of the code. By defining these custom exceptions, the code can provide more detailed error messages to the user, making it easier to identify and fix issues. + +Example usage: + +``` +try { + // perform a binary operation with invalid parameters + val result = 5 + "hello" +} catch { + case e: InvalidBinaryOperationParameters => println(e.getMessage) +} + +try { + // call a non-existent method + val result = someObject.nonExistentMethod() +} catch { + case e: MethodNotFound => println(e.getMessage) +} + +try { + // call a method with non-applicable parameters + val result = someObject.someMethod("hello") +} catch { + case e: NonApplicableMethod => println(e.getMessage) +} +``` +## Questions: + 1. What is the purpose of the `sigmastate.exceptions` package? +- The `sigmastate.exceptions` package contains classes that define custom exceptions related to type checking in the Sigma programming language. + +2. What is the parent class of the `InvalidBinaryOperationParameters`, `InvalidUnaryOperationParameters`, `MethodNotFound`, and `NonApplicableMethod` classes? +- The parent class of these classes is `TyperException`. + +3. What is the significance of the `source` parameter in the constructor of each of these classes? +- The `source` parameter is an optional parameter that allows the caller to specify the source context of the exception, which can be useful for debugging purposes. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.md new file mode 100644 index 0000000000..808ce87a6a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/exceptions/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions) + +The `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/exceptions` folder contains exception classes that are used to handle errors in the Sigma programming language compiler, which is used for writing smart contracts on the Ergo blockchain. These exception classes provide detailed error messages to help users identify and fix errors in their code. + +For example, the `CompilerExceptions.scala` file contains the base `CompilerException` class and its subclasses, which represent specific types of errors that can occur during the compilation process. These subclasses include `BinderException`, `TyperException`, `BuilderException`, and `CosterException`. They can be used in a try-catch block to catch and handle errors during different phases of the compilation process: + +```scala +try { + // code that compiles Sigma smart contract +} catch { + case e: BinderException => println("Error during binding phase: " + e.getMessage) + case e: TyperException => println("Error during type checking phase: " + e.getMessage) + case e: BuilderException => println("Error during construction phase: " + e.getMessage) + case e: CosterException => println("Error during cost estimation phase: " + e.getMessage) + case e: CompilerException => println("Error during compilation: " + e.getMessage) +} +``` + +Other exception classes in this folder, such as `ConstraintFailed`, `InvalidArguments`, and the exceptions in `SigmaExceptions.scala`, handle specific error scenarios related to the Sigma state language, invalid arguments, and execution errors. These exceptions can be used in the larger project to handle errors in a consistent and predictable manner, improving the overall reliability and stability of the system. + +For instance, the `InvalidArguments` exception can be used to handle cases where a function receives an invalid argument: + +```scala +def divide(a: Int, b: Int): Int = { + if (b == 0) { + throw new InvalidArguments("Cannot divide by zero") + } + a / b +} +``` + +In summary, the exception classes in this folder play a crucial role in the error handling mechanism of the larger project. They help developers handle errors related to the Sigma programming language, invalid arguments, and execution issues in a consistent and predictable way, ultimately improving the overall reliability and stability of the system. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.md new file mode 100644 index 0000000000..45747f84e3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostAccumulator.scala) + +The code defines two classes, `CostCounter` and `CostAccumulator`, which are used to track the cost of executing a program. + +`CostCounter` is a simple class that encapsulates a monotonic counter that can only be incremented. It has an initial cost value, which is set when the counter is created, and a current cost value, which is updated each time the counter is incremented. The `resetCost()` method can be used to reset the current cost value to the initial value. + +`CostAccumulator` is a more complex class that implements a finite state machine with a stack of graph blocks (scopes), which correspond to lambdas and thunks. It accepts messages: `startScope()`, `endScope()`, `add()`, and `reset()`. At any time, `totalCost` is the currently accumulated cost. + +The `Scope` class represents a single scope during execution of the graph. When the evaluation enters a new scope (e.g. calling a lambda), a new `Scope` instance is created and pushed to the `_scopeStack`, then it starts receiving `add` method calls. When the evaluation leaves the scope, the top is popped off the stack. The `add` method is called once for each operation of a scope (lambda or thunk), and it updates the current cost of the current scope. If the current accumulated cost exceeds the `costLimit`, a `CostLimitException` is thrown. + +The `reset()` method resets the accumulator into its initial state to be ready for new graph execution. The `totalCost` method returns the total accumulated cost. + +Overall, these classes are used to track the cost of executing a program and ensure that it does not exceed a certain limit. They can be used in the larger project to optimize the execution of the program and prevent it from consuming too many resources. For example, the `CostAccumulator` class could be used to optimize the execution of smart contracts on a blockchain by limiting their resource consumption. +## Questions: + 1. What is the purpose of the `CostCounter` class? +- The `CostCounter` class encapsulates a simple monotonic counter with reset and is used to keep track of the current cost. + +2. What is the purpose of the `Scope` class? +- The `Scope` class represents a single scope during execution of the graph and is used to accumulate costs for each operation of a scope. + +3. What is the purpose of the `CostAccumulator` class? +- The `CostAccumulator` class implements a finite state machine with a stack of graph blocks (scopes) and is used to accumulate costs for each operation of a scope. It also checks if the accumulated cost exceeds the cost limit and throws a `CostLimitException` if it does. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.md new file mode 100644 index 0000000000..283db3c576 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostDetails.scala) + +The code defines an abstract representation of cost results obtained during evaluation. It provides two concrete implementations of the abstract class `CostDetails`: `TracedCost` and `GivenCost`. The former is used to represent detailed results of cost evaluation, while the latter is used to represent the cost of Ahead-Of-Time (AOT) costing. + +The `CostDetails` class has three methods: `cost`, `trace`, and `actualTimeNano`. The `cost` method returns the total cost of evaluation, which is a `JitCost` object. The `trace` method returns the trace of costed operations performed during evaluation, which is a sequence of `CostItem` objects. The `actualTimeNano` method returns the actual execution time (in nanoseconds) if defined. + +The `TracedCost` class extends `CostDetails` and has two fields: `trace` and `actualTimeNano`. The `trace` field is the accumulated trace of all cost items obtained during execution of `ErgoTree` operations. The `actualTimeNano` field is the measured time of execution (if some). The `cost` method of `TracedCost` calculates the total cost of all cost items by iterating over the `trace` sequence and summing up the costs of each `CostItem`. + +The `GivenCost` class also extends `CostDetails` and has one field: `cost`. The `cost` field is the given value of the total cost obtained from AOT costing. The `actualTimeNano` field is the measured time of execution (if some). The `trace` method of `GivenCost` returns an empty sequence of `CostItem` objects since there is no trace available for AOT costing. + +The `CostDetails` object provides three methods: `EmptyTrace`, `ZeroCost`, and `apply`. The `EmptyTrace` method returns an empty sequence of `CostItem` objects and should be used whenever possible to avoid allocations. The `ZeroCost` method returns a `TracedCost` object with an empty trace and zero total cost. The `apply` method is a helper factory method to create `CostDetails` objects from the given trace. + +The `unapply` method of `CostDetails` is a helper recognizer to work with different representations of costs in patterns uniformly. It takes a `CostDetails` object as input and returns an `Option` of a tuple containing the total cost and the trace of cost items. It matches the input object against `TracedCost` and `GivenCost` and returns the appropriate tuple based on the type of the input object. + +Overall, this code provides a way to represent and manipulate cost results obtained during evaluation in a flexible and extensible manner. It can be used in the larger project to optimize the performance of `ErgoTree` operations and reduce the computational cost of evaluating complex scripts. + +Example usage: + +``` +val trace = Seq(CostItem(op1, cost1), CostItem(op2, cost2), CostItem(op3, cost3)) +val costDetails = CostDetails(trace) +val totalCost = costDetails.cost +val traceItems = costDetails.trace +val actualTime = costDetails.actualTimeNano.getOrElse(0L) +``` +## Questions: + 1. What is the purpose of the `CostDetails` class and its subclasses? +- The `CostDetails` class and its subclasses are used to represent the results of cost evaluation during code execution, including the total cost, trace of costed operations, and actual execution time. + +2. What is the difference between `TracedCost` and `GivenCost`? +- `TracedCost` represents the detailed results of cost evaluation obtained during execution of `ErgoTree` operations, while `GivenCost` represents the cost of AOT (ahead-of-time) costing using a given value. + +3. What is the purpose of the `unapply` method in the `CostDetails` object? +- The `unapply` method is a helper recognizer that allows for working with different representations of costs in patterns uniformly, by matching against the `CostDetails` subclasses and returning a tuple of the total cost and trace of costed operations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.md new file mode 100644 index 0000000000..9b6bb80b68 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/CostItem.scala) + +This code defines several classes and objects that represent different types of cost items in the context of evaluating an ErgoTree, which is a data structure used in the Ergo blockchain. The purpose of these cost items is to track the cost of evaluating an ErgoTree, which is important for determining transaction fees and preventing denial-of-service attacks. + +The `CostItem` abstract class defines the basic structure of a cost item, with two properties: `opName`, which is a string representing the name of the operation being performed, and `cost`, which is a `JitCost` object representing the cost of the operation. + +The `FixedCostItem` class represents the cost of a simple operation that has a fixed cost, such as adding two numbers together. It takes an `OperationDesc` object and a `FixedCost` object as parameters, which describe the operation being performed and the cost of that operation, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the fixed cost. + +The `TypeBasedCostItem` class represents the cost of an operation that depends on the type of the arguments being passed in, such as comparing two values of different types. It takes an `OperationDesc` object, a `TypeBasedCost` object, and an `SType` object as parameters, which describe the operation being performed, the cost of that operation based on the type of the arguments, and the concrete type on which the operation is being executed, respectively. The `opName` property is set to the name of the operation followed by the concrete type, and the `cost` property is set to the cost of the operation based on the concrete type. + +The `SeqCostItem` class represents the cost of a sequence of operations, such as iterating over a collection of values. It takes an `OperationDesc` object, a `PerItemCost` object, and an integer representing the number of items in the sequence as parameters, which describe the operation being performed, the cost of that operation per item, and the number of items in the sequence, respectively. The `opName` property is set to the name of the operation, and the `cost` property is set to the cost of the operation multiplied by the number of items in the sequence. + +The `MethodCallCostItem` class represents the cost of a method call operation, which is a special type of operation that calls a method on an object. It takes a `CostDetails` object as a parameter, which contains the cost details obtained as part of the method call evaluation. The `opName` property is set to the name of the method call operation, and the `cost` property is set to the cost of the method call. + +Overall, these classes and objects provide a way to track the cost of evaluating an ErgoTree, which is important for ensuring the security and stability of the Ergo blockchain. They can be used for debugging, testing, and profiling of costing, and can be integrated into larger projects that involve ErgoTree evaluation. For example, a transaction validation system might use these cost items to determine the transaction fee and prevent denial-of-service attacks. +## Questions: + 1. What is the purpose of the `CostItem` class and its subclasses? +- The `CostItem` class and its subclasses represent items in the cost accumulation trace of an `ErgoTree` evaluation, used for debugging, testing, and profiling of costing. + +2. What is the difference between `FixedCostItem` and `TypeBasedCostItem`? +- `FixedCostItem` represents the cost of a simple operation, while `TypeBasedCostItem` represents the cost of an operation that depends on type (e.g. type of arguments). + +3. What is the purpose of the `SeqCostItem` class and its `chunks` method? +- The `SeqCostItem` class represents the cost of a sequence of operations, and the `chunks` method returns the number of data chunks in this cost item. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.md new file mode 100644 index 0000000000..a6f4d633c1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ErgoTreeEvaluator.scala) + +The `ErgoTreeEvaluator` class in this code is a simple and fast direct-style interpreter for ErgoTrees. ErgoTree is a declarative intermediate representation for Ergo contracts, designed to be compact in serialized form and directly executable. The interpreter works directly with ErgoTree's higher-order abstract syntax (HOAS) and follows its denotational semantics. + +The main method of the `ErgoTreeEvaluator` class is `eval`, which evaluates a given expression in a given data environment. The class also provides methods for evaluating expressions with cost, such as `evalWithCost`, which returns the value of the expression and the total accumulated cost in the coster. + +The `EvalSettings` case class contains configuration parameters for the evaluation run, such as flags for measuring operation time, enabling debug mode, logging, cost tracing, and specifying evaluation mode. The `EvaluationMode` object defines two evaluation modes: `AotEvaluationMode` for executing using AOT costing implementation of v4.x protocol, and `JitEvaluationMode` for executing using JIT costing implementation of v5.x protocol. + +The `ErgoTreeEvaluator` class also provides methods for adding costs to the coster, such as `addCost`, `addTypeBasedCost`, `addFixedCost`, and `addSeqCost`. These methods are used to accumulate costs during the evaluation of expressions, and can be associated with operation descriptors for tracing and profiling purposes. + +Example usage of the `ErgoTreeEvaluator` class would involve creating an instance with the desired context, constants, cost accumulator, profiler, and settings, and then using the `eval` method to evaluate an ErgoTree expression in a given data environment. + +```scala +val context: ErgoLikeContext = ... +val constants: Seq[Constant[SType]] = ... +val costAccumulator = new CostAccumulator(...) +val profiler = new Profiler +val settings = EvalSettings(...) + +val evaluator = new ErgoTreeEvaluator(context, constants, costAccumulator, profiler, settings) +val env: DataEnv = ... +val exp: SValue = ... + +val result: Any = evaluator.eval(env, exp) +``` +## Questions: + 1. **What is the purpose of the `ErgoTreeEvaluator` class?** + + The `ErgoTreeEvaluator` class is an interpreter for ErgoTrees, which are a simple declarative intermediate representation for Ergo contracts. It is designed to be compact in serialized form and directly executable. The evaluator follows the denotational semantics of ErgoTree and is purely functional with immutable data structures. + +2. **How does the `ErgoTreeEvaluator` handle costs and profiling?** + + The `ErgoTreeEvaluator` uses a `CostAccumulator` to accumulate computation costs during evaluation. It also supports cost tracing and operation time measurement through the `Profiler` class if enabled in the `EvalSettings`. Various methods like `addFixedCost`, `addTypeBasedCost`, and `addSeqCost` are used to add costs associated with different operations. + +3. **What are the different evaluation modes available in `EvalSettings`?** + + The `EvalSettings` class has an `evaluationMode` field, which can be set to either `AotEvaluationMode` (AOT costing implementation of v4.x protocol) or `JitEvaluationMode` (JIT costing implementation of v5.x protocol). The default value is `None`, which means the version is defined by `ErgoTree.version` and `Context.activatedScriptVersion`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.md new file mode 100644 index 0000000000..a03976cb3a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Hint.scala) + +The `Hint` trait and its subclasses define a set of hints that can be used by a prover to prove a statement. The `SecretProven` abstract class extends the `Hint` trait and defines a hint that indicates that a secret associated with its public image is already proven. The `RealSecretProof` and `SimulatedSecretProof` case classes extend the `SecretProven` class and define hints that contain a proof-of-knowledge for a secret associated with its public image, with the mark that the proof is real or simulated. + +The `CommitmentHint` abstract class extends the `Hint` trait and defines a family of hints that are about a correspondence between a public image of a secret image and prover's commitment to randomness. The `OwnCommitment`, `RealCommitment`, and `SimulatedCommitment` case classes extend the `CommitmentHint` class and define hints that contain a commitment to randomness associated with a public image of a secret, with or without randomness itself. + +The `HintsBag` case class defines a collection of hints to be used by a prover. It contains a sequence of hints and provides methods to add hints to the bag, concatenate bags, and extract specific types of hints from the bag. The `empty` object is a pre-defined empty `HintsBag`. + +This code can be used in the larger project to facilitate the proving process of statements that involve secrets and commitments to randomness. The hints can be generated by the prover or obtained from other sources, and then added to the `HintsBag`. The bag can be passed to the proving function, which can use the hints to construct a proof. The hints can also be used to verify a proof by checking the correspondence between the public images and the commitments. + +For example, a prover can use the `RealSecretProof` hint to prove that they know a secret associated with a public image, and the verifier can use the `RealCommitment` hint to verify that the commitment used in the proof corresponds to the public image. The `OwnCommitment` hint can be used to prove that the prover has a commitment to randomness that is used in the proof, and the verifier can use the `SimulatedCommitment` hint to simulate the commitment and check its validity. +## Questions: + 1. What is the purpose of the `Hint` trait and its subclasses? +- The `Hint` trait and its subclasses provide hints to a prover to help them prove a statement, such as indicating that a secret associated with a public image is already proven or providing a commitment to randomness. + +2. What is the difference between `RealSecretProof` and `SimulatedSecretProof`? +- Both `RealSecretProof` and `SimulatedSecretProof` contain a proof-of-knowledge for a secret associated with a public image, but `RealSecretProof` also marks the proof as real, while `SimulatedSecretProof` does not. + +3. What is the purpose of the `HintsBag` class and its methods? +- The `HintsBag` class is a collection of hints to be used by a prover. Its methods allow for adding hints to the bag, combining bags, and extracting specific types of hints from the bag. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.md new file mode 100644 index 0000000000..bb3cae723a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/Interpreter.scala) + +The `Interpreter` trait in the given code is a base verifying interpreter for ErgoTrees. It is responsible for evaluating ErgoTree expressions in a given context and verifying them. The interpreter supports two alternative implementations: the old implementation from v4.x based on AOT (Ahead-Of-Time) costing, and the new implementation added in v5.0 based on JIT (Just-In-Time) costing. Both implementations are equivalent in v5.0 but have different performance, resulting in different cost estimations. + +The interpreter provides methods for ErgoTree evaluation (reduction) to a sigma proposition (SigmaBoolean) in a given context, and for verification of ErgoTree in a given context. It also handles soft-fork conditions and deserialization of context variables. + +Here's an example of how the interpreter is used in the larger project: + +```scala +val interpreter = new Interpreter() +val ergoTree: ErgoTree = ... +val context: CTX = ... +val env: ScriptEnv = ... +val reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env) +``` + +The `fullReduction` method takes an ErgoTree, a context, and an environment, and returns a `ReductionResult` containing the reduced SigmaBoolean value and the estimated cost of the contract execution. + +The `verify` method is used to execute a script in a given context and verify its result: + +```scala +val proof: Array[Byte] = ... +val message: Array[Byte] = ... +val verificationResult: Try[VerificationResult] = interpreter.verify(env, ergoTree, context, proof, message) +``` + +The `verify` method returns a `Try[VerificationResult]`, which contains a boolean indicating whether the script executed successfully and the estimated cost of the script execution. +## Questions: + 1. **Question**: What is the purpose of the `deserializeMeasured` method and why is it using `ValueSerializer` instead of `ErgoTreeSerializer`? + + **Answer**: The `deserializeMeasured` method is used to deserialize the given script bytes using `ValueSerializer` while also measuring the tree complexity and updating the context's initial cost. It uses `ValueSerializer` because, although ErgoTree is always of type SigmaProp, `ValueSerializer` can serialize expressions of any type, making it more versatile in this case. + +2. **Question**: How does the `checkSoftForkCondition` method handle soft-fork conditions in the interpreter? + + **Answer**: The `checkSoftForkCondition` method checks if the activated script version is higher than the maximum supported script version or if the ErgoTree version is higher than the activated script version. If a soft-fork condition is detected, it returns a `VerificationResult` with a true value and the initial cost. If no soft-fork condition is detected, it proceeds with the normal execution. + +3. **Question**: What is the purpose of the `estimateCryptoVerifyCost` method and how does it work? + + **Answer**: The `estimateCryptoVerifyCost` method computes the estimated cost of verification of a given sigma proposition without actually performing expensive crypto operations. It does this by recursively computing the total cost of the given children in the proposition tree and summing up the costs for each type of node (e.g., ProveDlog, ProveDHTuple, CAND, COR, CTHRESHOLD). \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.md new file mode 100644 index 0000000000..a6711273d5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/InterpreterContext.scala) + +The code defines the ContextExtension and InterpreterContext classes, which are used to manage user-defined variables and context data in the ErgoScript interpreter. + +The ContextExtension class represents a container for key-value pairs, where each key is identified by a Byte and can be accessed from a script using the getVar[T](id) operation. The value of the variable is represented by a Constant instance, which contains both data value and SType descriptor. The descriptor is checked against the type T expected in the script operation. If the types don't match, an exception is thrown and the box spending (protected by the script) fails. The class provides an add method to add new bindings to the internal container. + +The InterpreterContext trait is a base class for the context passed to verifier and prover. It defines several properties, including extension, validationSettings, costLimit, initCost, and activatedScriptVersion. The extension property is an instance of the ContextExtension class, which represents prover-defined key-value pairs that may be used inside a script. The validationSettings property is used to detect soft-fork conditions. The costLimit property is a hard limit on accumulated execution cost, and the initCost property is the initial value of execution cost already accumulated before Interpreter.verify (or prove) is called. The activatedScriptVersion property defines the maximum version of ErgoTree currently activated on the network. + +The InterpreterContext trait also defines several methods to create a new instance with updated properties, including withErgoTreeVersion, withCostLimit, withInitCost, withExtension, withBindings, and withValidationSettings. The toSigmaContext method creates a special.sigma.Context instance based on this context, which contains all data represented using types from the special.sigma package. These types are used internally by the ErgoTree interpreter. + +Overall, the code provides a flexible and extensible way to manage context data and user-defined variables in the ErgoScript interpreter. It can be used in the larger project to enable more complex and sophisticated smart contracts. + +Example usage: + +``` +val ext = ContextExtension(Map(1.toByte -> Constant(10, SInt))) +val ctx = new InterpreterContext { + val extension: ContextExtension = ext + val validationSettings: SigmaValidationSettings = SigmaValidationSettings.empty + val costLimit: Long = 1000 + val initCost: Long = 0 + def activatedScriptVersion: Byte = 0 + def withErgoTreeVersion(newVersion: Byte): InterpreterContext = ??? + def withCostLimit(newCostLimit: Long): InterpreterContext = ??? + def withInitCost(newCost: Long): InterpreterContext = ??? + def withExtension(newExtension: ContextExtension): InterpreterContext = ??? + def withValidationSettings(newVs: SigmaValidationSettings): InterpreterContext = ??? + def toSigmaContext(extensions: Map[Byte, AnyValue] = Map()): sigma.Context = ??? +} +``` +## Questions: + 1. What is the purpose of the `ContextExtension` class and how is it used in the script? +- The `ContextExtension` class is used to store user-defined variables that can be accessed from a script using `getVar[T](id)` operation. The value of the variable is represented by a `Constant` instance, which contains both data value and `SType` descriptor. The descriptor is checked against the type `T` expected in the script operation. + +2. What is the purpose of the `InterpreterContext` trait and what are some of its key properties? +- The `InterpreterContext` trait is the base class of the context passed to verifier and prover. Some of its key properties include `extension` which stores prover-defined key-value pairs that may be used inside a script, `validationSettings` which are validation parameters passed to `Interpreter.verify` to detect soft-fork conditions, `costLimit` which is a hard limit on accumulated execution cost, and `activatedScriptVersion` which is the maximum version of ErgoTree currently activated on the network. + +3. What is the purpose of the `toSigmaContext` method and what does it do? +- The `toSigmaContext` method creates a `special.sigma.Context` instance based on the current context. The created instance contains all data represented using types from the `special.sigma` package, which are used internally by ErgoTree interpreter. This method performs transformation from Ergo to internal Sigma representation of all context data. It can also take additional context variables which will be merged with those in the `extension` of the current instance, overriding existing bindings in case variable ids overlap. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.md new file mode 100644 index 0000000000..ceb84c1bdd --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/OperationDesc.scala) + +The code defines a set of classes and traits that describe the cost of operations in the Ergo blockchain. The `OperationDesc` trait is an abstract class that defines the `operationName` method, which returns the name of the operation. There are three concrete classes that extend `OperationDesc`: `CompanionDesc`, `MethodDesc`, and `NamedDesc`. + +`CompanionDesc` is a case class that takes a `ValueCompanion` as a parameter and returns the `typeName` of the companion object as the `operationName`. `ValueCompanion` is a trait that defines methods for creating and parsing values of a specific type. + +`MethodDesc` is a case class that takes an `SMethod` as a parameter and returns the `opName` of the method as the `operationName`. `SMethod` is a class that represents an operation as a method. + +`NamedDesc` is a case class that takes a `String` as a parameter and returns the same `String` as the `operationName`. This is used for intermediate sub-operations that are present in the cost model but are not separate operations in the ErgoTree. + +`OperationCostInfo` is a case class that combines a `CostKind` and an `OperationDesc`. `CostKind` is a trait that defines the cost of an operation. + +Overall, this code provides a way to describe the cost of operations in the Ergo blockchain. It can be used in the larger project to optimize the execution of transactions by estimating the cost of each operation and minimizing the total cost. For example, a developer could use the `MethodDesc` class to estimate the cost of a specific method and optimize the code accordingly. + +Example usage: + +``` +val method = SMethod("add", Seq(IntConstant(1), IntConstant(2))) +val methodDesc = MethodDesc(method) +val costInfo = OperationCostInfo(ComputationalCost, methodDesc) +``` +## Questions: + 1. What is the purpose of the `OperationDesc` abstract class? + + `OperationDesc` is an abstract class that defines the common interface for operation descriptors. It provides a method `operationName` that returns the name of the operation. + +2. What are the different ways in which a costable operation can be described? + + A costable operation can be described in one of the following ways: (1) using `ValueCompanion`, (2) using `SMethod`, or (3) using a string name. + +3. What is the purpose of the `OperationCostInfo` case class? + + `OperationCostInfo` is a case class that combines an operation descriptor (`opDesc`) with a cost kind (`costKind`). It is used to represent the cost information for a costable operation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.md new file mode 100644 index 0000000000..b75c967366 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverInterpreter.scala) + +The `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain. + +The main methods provided by this trait are: + +- `generateCommitments`: Generates commitments for a given ErgoTree or SigmaBoolean using the prover's secrets. +- `prove`: Generates a proof for a given ErgoTree, context, and message, using the prover's secrets and optional hints. +- `signMessage`: Signs an arbitrary message under a key representing a statement provable via a sigma-protocol. + +The `ProverInterpreter` trait also defines several helper methods and strategies for generating proofs, such as `markReal`, `polishSimulated`, `simulateAndCommit`, and `proving`. These methods are used in the main `prove` method to perform various steps of the proving process, such as marking nodes as real or simulated, generating challenges for simulated nodes, and computing commitments and responses for real nodes. + +Here's an example of how the `ProverInterpreter` trait might be used in a larger project: + +```scala +val prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter +val ergoTree = ... // An ErgoTree script to prove +val context = ... // A context for the script +val message = ... // A message to sign + +val result = prover.prove(ergoTree, context, message) match { + case Success(proof) => // Use the proof for validation or other purposes + case Failure(e) => // Handle the error +} +``` + +In this example, a custom implementation of `ProverInterpreter` called `MyProverInterpreter` is used to generate a proof for a given ErgoTree script, context, and message. The resulting proof can then be used for validation or other purposes. +## Questions: + 1. **Question**: What is the purpose of the `ProverInterpreter` trait? + **Answer**: The `ProverInterpreter` trait is an interpreter with enhanced functionality to prove statements. It is responsible for generating commitments, proving statements, and signing messages under a key representing a statement provable via a sigma-protocol. + +2. **Question**: How does the `prove` method work in the `ProverInterpreter` trait? + **Answer**: The `prove` method takes an ErgoTree, a context, a message, and a hints bag as input. It performs a series of steps to reduce the ErgoTree to a crypto-tree, generate commitments, simulate and commit, and compute challenges and responses for real and simulated nodes. Finally, it outputs a `CostedProverResult` containing the proof, context extension, and cost. + +3. **Question**: What is the role of the `HintsBag` in the `ProverInterpreter` trait? + **Answer**: The `HintsBag` is used to store additional hints for a signer, which can be useful for distributed signing. It contains real images, commitments, and proofs that can be used during the proving process to help generate the final proof more efficiently or securely. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.md new file mode 100644 index 0000000000..79abc326d5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverResult.scala) + +The code defines two classes, `ProverResult` and `CostedProverResult`, and an object `ProverResult` with a serializer. These classes are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. + +The `ProverResult` class takes two parameters: `proof`, which is an array of bytes representing the proof that satisfies the final Sigma proposition, and `extension`, which is a user-defined variable to be put into context. The `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter, which represents the cost of the proof. + +The `ProverResult` class overrides the `hashCode`, `equals`, and `toString` methods. The `hashCode` method calculates the hash code of the `proof` and `extension` parameters using the `util.Arrays.hashCode` method. The `equals` method checks if the object being compared is the same as `this` or if it is an instance of `ProverResult` with the same `proof` and `extension` parameters. The `toString` method returns a string representation of the `ProverResult` object, including the `proof` and `extension` parameters encoded in Base16. + +The `ProverResult` object provides an `empty` method that returns an empty `ProverResult` object with an empty `proof` and `extension`. It also provides a `serializer` object that extends the `SigmaSerializer` trait. The `serializer` object provides methods to serialize and parse `ProverResult` objects. The `serialize` method writes the `proof` parameter to the `SigmaByteWriter` object `w` along with its length and then calls the `serialize` method of the `ContextExtension` object `extension`. The `parse` method reads the `proof` parameter from the `SigmaByteReader` object `r` along with its length and then calls the `parse` method of the `ContextExtension` object `extension`. + +The `CostedProverResult` class extends `ProverResult` and adds a `cost` parameter. It takes the same parameters as `ProverResult` and calls the constructor of `ProverResult` with the `proof` and `extension` parameters. It then adds a `cost` parameter to the resulting object. + +Overall, these classes and object are used to represent the result of a proof of correctness of transaction spending in the Sigma protocol. The `ProverResult` class represents a basic result, while the `CostedProverResult` class adds a cost parameter to the result. The `ProverResult` object provides methods to serialize and parse `ProverResult` objects. +## Questions: + 1. What is the purpose of the `ProverResult` class? +- The `ProverResult` class represents the proof of correctness of transaction spending and contains a proof that satisfies the final sigma proposition and user-defined variables to be put into context. + +2. What is the `ProverResult.serializer` object used for? +- The `ProverResult.serializer` object is used to serialize and deserialize `ProverResult` objects. + +3. What is the `CostedProverResult` case class and how does it differ from `ProverResult`? +- The `CostedProverResult` case class extends `ProverResult` and adds a `cost` field to represent the cost of the proof. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.md new file mode 100644 index 0000000000..a4835cb12e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/interpreter/ProverUtils.scala) + +The `ProverUtils` trait is a collection of utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. The trait extends the `Interpreter` trait, which provides methods for evaluating ErgoScript expressions. + +The `generateCommitmentsFor` method takes an `ErgoTree` and a `CTX` (context) and generates commitments for all the public keys provided. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates commitments for the public keys using the `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys. Currently, only keys in the form of `ProveDlog` and `ProveDiffieHellman` are supported, not more complex subtrees. + +The `generateCommitmentsFor` method that takes a `SigmaBoolean` and a sequence of `SigmaBoolean` public keys generates commitments (private, containing secret randomness, and public, containing only commitments) for all the public keys provided. The method traverses the sigma-tree and generates commitments for the public keys that match the keys in the `generateFor` sequence. The method uses the `DLogInteractiveProver` and `DiffieHellmanTupleInteractiveProver` classes to generate commitments for `ProveDlog` and `ProveDHTuple` public keys, respectively. + +The `bagForMultisig` method extracts partial proofs of secret knowledge for particular secrets with their respective public images given. The method takes a `CTX`, an `ErgoTree`, a signature for the key, and sequences of `SigmaBoolean` public keys for real and simulated proofs. The method first reduces the given tree to a crypto-tree (sigma-tree) using the provided context. Then, it generates a proof tree using the `computeCommitments` method and the `SigSerializer` class. Finally, the method traverses the proof tree and extracts partial proofs of secret knowledge for the public keys that match the keys in the `realSecretsToExtract` and `simulatedSecretsToExtract` sequences. The method uses the `RealCommitment`, `RealSecretProof`, `SimulatedCommitment`, and `SimulatedSecretProof` classes to generate the partial proofs. + +Overall, the `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for use in distributed signature applications. These methods are used in the larger project to enable secure and efficient multi-party signing of transactions on the Ergo blockchain. +## Questions: + 1. What is the purpose of the `ProverUtils` trait? +- The `ProverUtils` trait provides utility methods for generating commitments and extracting partial proofs of secret knowledge for distributed signature applications. + +2. What types of public keys are currently supported by the `generateCommitmentsFor` method? +- The `generateCommitmentsFor` method currently supports keys in the form of `ProveDlog` and `ProveDiffieHellman`, but not more complex subtrees. + +3. What is the input and output of the `bagForMultisig` method? +- The `bagForMultisig` method takes in a context, a proposition to reduce, a proof for the reduced proposition, and public keys of secrets with real and simulated proofs. It returns a bag of `OtherSecretProven` and `OtherCommitment` hints. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.md new file mode 100644 index 0000000000..c074534a33 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/interpreter/summary.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/interpreter) + +The code in this folder is primarily focused on the interpretation and evaluation of ErgoTree expressions, which are used in the Ergo blockchain for smart contracts. The code provides various classes and traits for tracking the cost of executing a program, representing cost results, managing context data, and generating proofs for ErgoTree scripts. + +For example, the `CostAccumulator` class is used to track the cost of executing a program and ensure that it does not exceed a certain limit. This can be useful in optimizing the execution of smart contracts on a blockchain by limiting their resource consumption. + +The `CostDetails` class and its subclasses provide an abstract representation of cost results obtained during evaluation, allowing for flexible and extensible manipulation of cost results. This can be used to optimize the performance of ErgoTree operations and reduce the computational cost of evaluating complex scripts. + +The `Interpreter` trait serves as a base verifying interpreter for ErgoTrees, responsible for evaluating ErgoTree expressions in a given context and verifying them. It supports two alternative implementations: the old implementation based on AOT (Ahead-Of-Time) costing, and the new implementation based on JIT (Just-In-Time) costing. + +The `ProverInterpreter` trait extends the `Interpreter` trait and provides additional functionality for proving statements in the ErgoTree language. It is used for generating proofs for ErgoTree scripts, which are then used to validate transactions on the Ergo blockchain. + +Here's an example of how the `Interpreter` and `ProverInterpreter` traits might be used in a larger project: + +```scala +val interpreter = new Interpreter() +val ergoTree: ErgoTree = ... +val context: CTX = ... +val env: ScriptEnv = ... +val reductionResult: ReductionResult = interpreter.fullReduction(ergoTree, context, env) + +val prover = new MyProverInterpreter(secrets) // MyProverInterpreter extends ProverInterpreter +val message = ... // A message to sign +val result = prover.prove(ergoTree, context, message) match { + case Success(proof) => // Use the proof for validation or other purposes + case Failure(e) => // Handle the error +} +``` + +In this example, the `Interpreter` is used to evaluate an ErgoTree expression in a given context, while the `ProverInterpreter` is used to generate a proof for the same ErgoTree script. The resulting proof can then be used for validation or other purposes. + +Overall, the code in this folder plays a crucial role in the larger project by providing the necessary tools and functionality for interpreting, evaluating, and proving ErgoTree expressions, which are essential for the execution of smart contracts on the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.md new file mode 100644 index 0000000000..f1f9d5c5aa --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SigmaPredef.scala) + +This code is part of the SigmaState language implementation and provides a set of predefined functions that can be used in ErgoScript, a language for writing smart contracts on the Ergo platform. These functions are organized into global, infix, unary, and special functions, and are used to perform various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives. + +For example, the `AllOfFunc` function checks if all elements in a collection are true, while the `Blake2b256Func` function calculates the Blake2b hash of a given input byte array. These predefined functions are organized in a `PredefinedFuncRegistry` class, which maps function names to their corresponding implementations and metadata. + +The code also provides a way to create and manipulate ErgoTree nodes, which represent the structure of a smart contract. This is done through the `IrBuilderFunc` type, which is a partial function that takes an `SValue` and a sequence of `SValue`s as input and returns an `SValue`. The `PredefFuncInfo` case class holds the metadata for a predefined function, including its `IrBuilderFunc`. + +Here's an example of using a predefined function in ErgoScript: + +``` +{ + val conditions = Coll( + OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 }, + HEIGHT > 5000 + ) + allOf(conditions) +} +``` + +In this example, the `allOf` function is used to check if all conditions in the `conditions` collection are true. If they are, the script evaluates to true, and the transaction is considered valid. +## Questions: + 1. **Question**: What is the purpose of the `SigmaPredef` object and its related classes and functions? + **Answer**: The `SigmaPredef` object contains the definitions and metadata for predefined functions in the Sigma language. It provides a registry of global, infix, unary, and special functions, along with their corresponding IR builders, which are used to generate the intermediate representation of the code during compilation. + +2. **Question**: How are the predefined functions organized and categorized within the `SigmaPredef` object? + **Answer**: Predefined functions are organized into several categories: global functions, infix functions, unary functions, and special functions. Each category is represented as a separate map within the `PredefinedFuncRegistry` class, and the functions are stored as instances of the `PredefinedFunc` case class. + +3. **Question**: How can a developer add a new predefined function to the `SigmaPredef` object? + **Answer**: To add a new predefined function, a developer needs to create a new instance of the `PredefinedFunc` case class with the appropriate metadata, such as the function name, declaration, IR builder, and documentation. Then, the new function should be added to the corresponding map (global, infix, unary, or special) within the `PredefinedFuncRegistry` class. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.md new file mode 100644 index 0000000000..f36ce92653 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/SourceContext.scala) + +The code in this file defines a case class and an object that provide functionality for creating and manipulating source code contexts. A source code context is a representation of the location of a piece of code within a larger source file, including the line number, column number, and the text of the line itself. + +The `SourceContext` case class defines a context object with three fields: `line`, `column`, and `sourceLine`. The `line` and `column` fields represent the location of the code within the source file, while the `sourceLine` field contains the text of the line of code. + +The `SourceContext` object provides two methods for creating `SourceContext` objects. The first method, `fromParserIndex`, takes an index and an input string as arguments and returns a `SourceContext` object representing the location of the code at the given index within the input string. This method works by splitting the input string into lines, scanning through the lines to determine the start and end indices of each line, and then finding the line containing the given index. If the index is not found within any line, the method returns a `SourceContext` object representing the last character of the last line. + +The second method, `fromParserFailure`, takes a `Failure` object as an argument and returns a `SourceContext` object representing the location of the code that caused the failure. This method simply calls `fromParserIndex` with the index and input string from the `Failure` object. + +Overall, this code provides a useful tool for working with source code contexts in a larger project. For example, it could be used by a compiler or interpreter to provide more detailed error messages that include the location of the error within the source file. Here is an example of how this code could be used: + +``` +val input = "val x = 42\nval y = x + 1\nprintln(y)" +val index = 10 +val context = SourceContext.fromParserIndex(index, input) +println(s"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}") +``` + +This code would output: `Error at line 2, column 5: val y = x + 1`. +## Questions: + 1. What is the purpose of the `SourceContext` case class? +- The `SourceContext` case class is used to store information about the location of a piece of code in the source file, including the line number, column number, and the source code on that line. + +2. What is the `fromParserIndex` method used for? +- The `fromParserIndex` method is used to create a `SourceContext` object based on the index of a parsed piece of code and the input source file. It calculates the line and column numbers of the parsed code and returns a `SourceContext` object with that information. + +3. What is the `fromParserFailure` method used for? +- The `fromParserFailure` method is used to create a `SourceContext` object based on a parsing failure. It takes in a `Failure` object and returns a `SourceContext` object with the line and column numbers of the failed code and the source code on that line. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/Terms.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/Terms.md new file mode 100644 index 0000000000..28ee379400 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/Terms.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/lang/Terms.scala) + +This code is part of the SigmaState language module and provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`. + +The `Block` case class represents a block of value definitions, while `ZKProofBlock` represents an explicit Zero Knowledge scope in ErgoTree. The `Val` trait and its case class `ValNode` represent value definitions, and `Select` is a frontend node to select a field from an object. The `Ident` case class represents variable names parsed in the source code, and `Apply` represents the application of a function to given arguments. + +The `Lambda` case class represents frontend implementation of lambdas, which should be transformed to `FuncValue`. The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree. + +The code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types. These functions are used during the compilation and type checking of ErgoTree expressions. + +Overall, this code is essential for the proper functioning of the ErgoTree language, as it defines the structure and behavior of various nodes and provides utility functions for type manipulation. +## Questions: + 1. **What is the purpose of the `ZKProofBlock` case class?** + + The `ZKProofBlock` case class represents an explicit Zero Knowledge scope in ErgoTree. The compiler checks Zero Knowledge properties and issues error messages in case of violations. It is used when the user wants to ensure Zero Knowledge of a specific set of operations. + +2. **What is the role of the `Val` trait and its related case classes?** + + The `Val` trait represents a block of Val definitions in the frontend representation. It is used to form a program structure and is not part of ErgoTree. The related case classes, such as `ValNode`, provide implementations for the `Val` trait. + +3. **How does the `MethodCall` case class work in ErgoTree?** + + The `MethodCall` case class represents an invocation of a method of an object with arguments in ErgoTree. It ensures that all ErgoTree instances are monomorphic by construction. During evaluation, it invokes the method on the object with the given arguments and returns the result. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/summary.md new file mode 100644 index 0000000000..845fe85f50 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/lang/summary.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang) + +The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/lang` folder is part of the SigmaState language implementation, which is used for writing smart contracts on the Ergo platform using ErgoScript. The folder contains three main files: `SigmaPredef.scala`, `SourceContext.scala`, and `Terms.scala`. + +`SigmaPredef.scala` provides a set of predefined functions that can be used in ErgoScript for various operations such as logical, arithmetic, and bitwise operations, as well as working with collections, authenticated dictionaries (AVL trees), and cryptographic primitives. These functions are organized into global, infix, unary, and special functions and are stored in a `PredefinedFuncRegistry` class. Here's an example of using a predefined function in ErgoScript: + +```scala +{ + val conditions = Coll( + OUTPUTS.exists { (outBox: Box) => outBox.value >= 1000 }, + HEIGHT > 5000 + ) + allOf(conditions) +} +``` + +`SourceContext.scala` defines a case class and an object for creating and manipulating source code contexts, which represent the location of a piece of code within a larger source file. This can be useful for providing more detailed error messages in a compiler or interpreter. Here's an example of how this code could be used: + +```scala +val input = "val x = 42\nval y = x + 1\nprintln(y)" +val index = 10 +val context = SourceContext.fromParserIndex(index, input) +println(s"Error at line ${context.line}, column ${context.column}: ${context.sourceLine}") +``` + +`Terms.scala` provides an implementation of various frontend and intermediate representation (IR) nodes for ErgoTree, a language used to express conditions for spending Ergo coins. The code defines several case classes and objects that represent different types of nodes in the ErgoTree language, such as `Block`, `ZKProofBlock`, `Val`, `Select`, `Ident`, `Apply`, `Lambda`, and `MethodCall`. The code also provides utility functions for type unification, substitution, and finding the most specific generalized type of a sequence of types, which are used during the compilation and type checking of ErgoTree expressions. + +Overall, the code in this folder is essential for the proper functioning of the ErgoTree language and the Ergo platform, as it defines the structure and behavior of various nodes, provides utility functions for type manipulation, and offers predefined functions for common operations in ErgoScript. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.md new file mode 100644 index 0000000000..2db1bafb1d --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ApplySerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing Apply operations. The Apply operation is used to apply a function to a sequence of arguments. The purpose of this code is to provide a way to convert Apply operations into a byte stream that can be transmitted over a network or stored in a file. + +The ApplySerializer class is a subclass of ValueSerializer and takes a constructor argument called cons, which is a function that takes a Value of SType and an IndexedSeq of Values of SType and returns a Value of SType. The opDesc method returns the Apply operation, which is used to identify the operation during serialization and deserialization. + +The serialize method takes an Apply object and a SigmaByteWriter object and writes the Apply object to the SigmaByteWriter object. The func and args fields of the Apply object are written to the SigmaByteWriter object using the putValue and putValues methods of the SigmaByteWriter object, respectively. + +The parse method takes a SigmaByteReader object and reads an Apply object from the SigmaByteReader object. The func and args fields of the Apply object are read from the SigmaByteReader object using the getValue and getValues methods of the SigmaByteReader object, respectively. The cons function is then called with the func and args fields to create a new Value of SType. + +Overall, this code provides a way to serialize and deserialize Apply operations in the Sigmastate project. This functionality is important for transmitting and storing Apply operations in a compact and efficient manner. An example of using this code would be to serialize an Apply operation and transmit it over a network to be executed on a remote machine. +## Questions: + 1. What is the purpose of the ApplySerializer class? + + The ApplySerializer class is used to serialize and deserialize Apply objects, which represent function application in the Sigma programming language. + +2. What is the significance of the "cons" parameter in the ApplySerializer constructor? + + The "cons" parameter is a function that takes a Value[SType] and an IndexedSeq[Value[SType]] as arguments and returns a Value[SType]. It is used to construct an Apply object from a deserialized function and arguments. + +3. What is the role of the opDesc and funcInfo variables in the ApplySerializer class? + + The opDesc variable specifies that the ApplySerializer is associated with the Apply operation, while the funcInfo variable provides information about the function argument of an Apply object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.md new file mode 100644 index 0000000000..f8a549417c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BlockValueSerializer.scala) + +The `BlockValueSerializer` class is responsible for serializing and deserializing `BlockValue` objects in the Sigmastate project. A `BlockValue` is a value that represents a block of code in the Sigmastate language. It consists of a sequence of `BlockItem` objects and a result expression of type `SType`. The `BlockValueSerializer` takes a constructor function as a parameter that is used to create a new `BlockValue` object from the deserialized data. + +The `serialize` method of the `BlockValueSerializer` writes the `BlockValue` object to a `SigmaByteWriter` object. It first writes the length of the `items` sequence as a variable-length quantity (VLQ) using the `putUInt` method of the `SigmaByteWriter`. It then iterates over the `items` sequence and writes each `BlockItem` object using the `putValue` method of the `SigmaByteWriter`. Finally, it writes the result expression using the `putValue` method. + +The `parse` method of the `BlockValueSerializer` reads a `BlockValue` object from a `SigmaByteReader` object. It first reads the length of the `items` sequence as a VLQ using the `getUIntExact` method of the `SigmaByteReader`. If the length is zero, it returns a `BlockValue` object with an empty sequence of `BlockItem` objects. Otherwise, it allocates a new array of `BlockItem` objects using the `safeNewArray` method of the `sigmastate.util` package and reads each `BlockItem` object using the `getValue` method of the `SigmaByteReader`. Finally, it reads the result expression using the `getValue` method and calls the constructor function with the `items` sequence and the result expression as arguments to create a new `BlockValue` object. + +This class is used in the larger Sigmastate project to serialize and deserialize `BlockValue` objects for storage and transmission. For example, it may be used to store a `BlockValue` object in a database or to transmit it over a network. Here is an example of how to use the `BlockValueSerializer` to serialize and deserialize a `BlockValue` object: + +``` +val items = IndexedSeq(BlockItem.Const(ConstantNode(1)), BlockItem.Const(ConstantNode(2))) +val result = IntConstant(3) +val blockValue = BlockValue(items, result) + +val serializer = BlockValueSerializer(BlockValue.apply) +val writer = new SigmaByteWriter() +serializer.serialize(blockValue, writer) +val bytes = writer.toBytes + +val reader = SigmaByteReader(bytes) +val deserialized = serializer.parse(reader).asInstanceOf[BlockValue] +``` +## Questions: + 1. What is the purpose of this code? +- This code defines a serializer for the BlockValue class in the Sigmastate library, which is used to represent a block of code in a smart contract. + +2. What other classes or packages does this code depend on? +- This code depends on several other classes and packages from the Sigmastate library, including Values, utils, and util.safeNewArray. + +3. Are there any potential performance issues with this code? +- There is a potential performance issue in the parse method, where a new array is allocated for each block item even if the block is empty. This could be optimized by checking for an empty block and avoiding the array allocation in that case. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.md new file mode 100644 index 0000000000..427ac7abe1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/BoolToSigmaPropSerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing the BoolToSigmaProp operation. The BoolToSigmaProp operation is used to convert a boolean value into a SigmaProp value, which is a cryptographic primitive used in the Sigmastate language to represent public keys and signatures. + +The code defines a case class called BoolToSigmaPropSerializer, which takes a constructor function as a parameter. This constructor function is used to create a SigmaPropValue object from a BoolValue object. The BoolToSigmaPropSerializer class extends the ValueSerializer trait, which is used to serialize and deserialize values in the Sigmastate language. + +The serialize method of the BoolToSigmaPropSerializer class takes a BoolToSigmaProp object and a SigmaByteWriter object as parameters. It then calls the putValue method of the SigmaByteWriter object to serialize the value of the BoolToSigmaProp object. The conditionInfo field is used to specify the type of the value being serialized. + +The parse method of the BoolToSigmaPropSerializer class takes a SigmaByteReader object as a parameter. It reads the serialized value from the SigmaByteReader object and converts it to a BoolValue object. It then calls the constructor function passed to the BoolToSigmaPropSerializer class to create a SigmaPropValue object from the BoolValue object. + +Overall, the BoolToSigmaPropSerializer class is an important part of the Sigmastate project as it allows for the serialization and deserialization of the BoolToSigmaProp operation. This operation is used extensively in the Sigmastate language to represent public keys and signatures, making the BoolToSigmaPropSerializer class a crucial component of the larger project. +## Questions: + 1. What is the purpose of the `BoolToSigmaPropSerializer` class? + - The `BoolToSigmaPropSerializer` class is a serializer for the `BoolToSigmaProp` operation, which converts a boolean value to a sigma proposition value. + +2. What is the `opDesc` method used for? + - The `opDesc` method is used to specify the operation description, which in this case is `BoolToSigmaProp`. + +3. What is the `parse` method doing? + - The `parse` method is reading a boolean value from a `SigmaByteReader` and using the `cons` function to create a `SigmaPropValue` from it. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.md new file mode 100644 index 0000000000..567fc5a6b4 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.md @@ -0,0 +1,40 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CaseObjectSerialization.scala) + +The code above is a part of the SigmaState project and is located in the sigmastate.serialization package. The purpose of this code is to provide a serializer for case objects that extend the Value trait. + +The CaseObjectSerialization class takes two parameters: the ValueCompanion object and the case object to be serialized. The ValueCompanion object is used to describe the case object and provide metadata about it. The case object is the actual object to be serialized. + +The class extends the ValueSerializer trait, which provides methods for serializing and deserializing values. However, in this case, the serialize method is overridden to do nothing, as case objects do not need to be serialized. The parse method is also overridden to simply return the original case object, as it does not need to be deserialized. + +This code can be used in the larger project to serialize and deserialize case objects that extend the Value trait. For example, if there is a case object representing a boolean value, it can be serialized using this code and then sent over a network or stored in a database. When it needs to be used again, it can be deserialized using this code. + +Here is an example of how this code can be used: + +``` +import sigmastate.Values._ +import sigmastate.serialization._ + +case object MyBoolean extends BoolConstant(false) + +val serializer = CaseObjectSerialization(BoolConstant, MyBoolean) + +val writer = new SigmaByteWriter() +serializer.serialize(MyBoolean, writer) +val bytes = writer.toBytes + +val reader = new SigmaByteReader(bytes) +val deserialized = serializer.parse(reader) + +assert(deserialized == MyBoolean) +``` + +In this example, a case object representing a boolean value is created and then serialized using the CaseObjectSerialization class. The resulting bytes can then be sent over a network or stored in a database. When the value is needed again, it can be deserialized using the same serializer. The deserialized value should be equal to the original value. +## Questions: + 1. What is the purpose of the `CaseObjectSerialization` class? + - The `CaseObjectSerialization` class is a value serializer that serializes and deserializes a case object of type `V`. + +2. What is the significance of the `ValueCompanion` parameter in the `CaseObjectSerialization` constructor? + - The `ValueCompanion` parameter is used to provide metadata about the case object being serialized, such as its op code and type. + +3. Why does the `serialize` method of `CaseObjectSerialization` do nothing? + - The `serialize` method does nothing because case objects are already fully defined and do not need to be serialized. The `parse` method simply returns the original case object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.md new file mode 100644 index 0000000000..52a113dcc3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionBooleanConstantSerializer.scala) + +The `ConcreteCollectionBooleanConstantSerializer` class is a serializer for a specific type of collection in the `sigmastate` package called `ConcreteCollection`. This serializer is specifically designed to handle collections of `BooleanConstant` values, which are values that represent a constant `Boolean` value in the Sigma programming language. + +The purpose of this serializer is to convert a `ConcreteCollection` of `BooleanConstant` values into a byte stream that can be transmitted or stored, and to convert that byte stream back into a `ConcreteCollection` of `BooleanConstant` values. This is useful in the larger project because it allows collections of `BooleanConstant` values to be transmitted or stored efficiently. + +The `serialize` method takes a `ConcreteCollection` of `BooleanConstant` values and a `SigmaByteWriter` and writes the collection to the writer as a byte stream. The byte stream consists of two parts: the number of items in the collection, encoded as an unsigned short, and the items themselves, encoded as a sequence of bits. The bits are packed into a `Boolean` array and then written to the writer using the `putBits` method of the `SigmaByteWriter`. + +The `parse` method takes a `SigmaByteReader` and reads a byte stream from it, converting it back into a `ConcreteCollection` of `BooleanConstant` values. The byte stream is assumed to be in the same format as the one produced by the `serialize` method. The method first reads the number of items in the collection as an unsigned short, and then reads the items themselves as a sequence of bits using the `getBits` method of the `SigmaByteReader`. The bits are then converted back into `BooleanConstant` values and stored in an `IndexedSeq`. Finally, the `cons` method is called with the `IndexedSeq` of `BooleanConstant` values and the `SBoolean` type to create a new `ConcreteCollection` of `BooleanConstant` values. + +Overall, the `ConcreteCollectionBooleanConstantSerializer` class provides a way to efficiently serialize and deserialize collections of `BooleanConstant` values in the Sigma programming language. This is useful in the larger project because it allows these collections to be transmitted or stored efficiently, which can improve the performance of the system as a whole. +## Questions: + 1. What is the purpose of the `ConcreteCollectionBooleanConstantSerializer` class? +- The `ConcreteCollectionBooleanConstantSerializer` class is a value serializer for a concrete collection of boolean constants. + +2. What is the `opDesc` method used for? +- The `opDesc` method is used to return the operation description of the serializer, which is `ConcreteCollectionBooleanConstant`. + +3. What is the purpose of the `parse` method? +- The `parse` method is used to parse a byte stream and return a value of type `SCollection[SBoolean.type]` by converting a sequence of bits into a sequence of boolean constants. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.md new file mode 100644 index 0000000000..812019d8f8 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConcreteCollectionSerializer.scala) + +The `ConcreteCollectionSerializer` class is responsible for serializing and deserializing instances of the `ConcreteCollection` class. This is done by implementing the `ValueSerializer` trait and overriding its `serialize` and `parse` methods. + +The `serialize` method takes a `ConcreteCollection` instance and a `SigmaByteWriter` instance as input, and writes the collection's size, element type, and each item to the writer. The `parse` method takes a `SigmaByteReader` instance as input, reads the collection's size and element type from the reader, reads each item from the reader, and constructs a new `ConcreteCollection` instance using the provided constructor function `cons`. + +The `ConcreteCollection` class represents a collection of values of a specific type `SType`. It is a case class that takes an `IndexedSeq` of `Value[SType]` instances and an `SType` instance as input. The `ConcreteCollectionSerializer` class is used to serialize and deserialize instances of this class. + +This code is part of the `sigmastate` project, which is a library for building and verifying cryptographic protocols using Sigma protocols. The `ConcreteCollectionSerializer` class is used in the serialization and deserialization of values in these protocols. For example, it may be used to serialize and deserialize a collection of public keys or signatures in a multi-signature scheme. +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for a concrete collection of values in the Sigmastate serialization library. + +2. What types of values can be serialized using this code? + - This code can serialize concrete collections of values with any subtype of SType. + +3. What is the purpose of the `HOTSPOT` comment in the code? + - The `HOTSPOT` comment indicates that the following code is performance-critical and should not be modified for readability or style. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.md new file mode 100644 index 0000000000..01cdedecbc --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantPlaceholderSerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing constant placeholders. A constant placeholder is a value that is not known at the time of creation but will be resolved to a constant value later on. This is useful in situations where a value needs to be computed at runtime but the computation is expensive or not possible at the time of creation. + +The `ConstantPlaceholderSerializer` class is a serializer for `ConstantPlaceholder` objects. It takes a function `cons` that creates a `Value` object from an integer ID and an `SType` object. The `ConstantPlaceholderSerializer` class extends the `ValueSerializer` class, which is a generic serializer for `Value` objects. + +The `serialize` method takes a `ConstantPlaceholder` object and a `SigmaByteWriter` object and writes the ID of the `ConstantPlaceholder` object to the writer. The `parse` method takes a `SigmaByteReader` object and reads the ID of the `ConstantPlaceholder` object. It then checks if the `resolvePlaceholdersToConstants` flag is set to true. If it is, it retrieves the constant value from the `constantStore` using the ID and returns it. If not, it calls the `cons` function to create a `Value` object from the ID and the `SType` object of the constant value. + +This code is used in the larger Sigmastate project to serialize and deserialize constant placeholders. It allows for efficient computation of values at runtime by deferring the computation until the value is needed. An example usage of this code would be in a smart contract that needs to compute a value based on user input. The contract can create a constant placeholder for the user input and then resolve it to a constant value later on when the computation is needed. +## Questions: + 1. What is the purpose of this code? + This code defines a serializer for a ConstantPlaceholder value in the Sigmastate library. + +2. What is the input and output of the `ConstantPlaceholderSerializer` class? + The input is a function that takes an integer and an SType and returns a Value of that SType. The output is a ValueSerializer for ConstantPlaceholder values. + +3. What is the significance of the `resolvePlaceholdersToConstants` flag in the `parse` method? + This flag determines whether the serializer should return the actual constant value or a ConstantPlaceholder value with the given ID. If the flag is true, the serializer returns the constant value; otherwise, it returns a ConstantPlaceholder value. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.md new file mode 100644 index 0000000000..e3ca6b5cfa --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantSerializer.scala) + +The ConstantSerializer class is a part of the sigmastate.serialization package and is responsible for serializing and deserializing Constant values. This class works in tandem with the DataSerializer class, which is responsible for serializing and deserializing data values. If any changes are made to one class, it is important to check the other class to ensure compatibility. + +The ConstantSerializer class is a case class that takes a SigmaBuilder as a parameter. It extends the ValueSerializer trait, which is responsible for serializing and deserializing values of type Constant[SType]. The opDesc method returns the Constant object, which is used to identify the operation during serialization and deserialization. + +The serialize method takes a Constant[SType] object and a SigmaByteWriter object as parameters. It first writes the type of the Constant object to the SigmaByteWriter using the putType method. It then calls the DataSerializer.serialize method to serialize the value of the Constant object and writes it to the SigmaByteWriter. + +The deserialize method takes a SigmaByteReader object as a parameter and returns a Constant[SType] object. It first reads the type of the Constant object from the SigmaByteReader using the getType method. It then calls the DataSerializer.deserialize method to deserialize the value of the Constant object. Finally, it uses the SigmaBuilder object to create a new Constant[SType] object with the deserialized value and type. + +Overall, the ConstantSerializer class is an important component of the larger project as it enables the serialization and deserialization of Constant values. This is crucial for the efficient storage and transmission of data within the project. Below is an example of how the ConstantSerializer class can be used: + +``` +val builder = new SigmaBuilder +val constant = builder.mkConstant(42, SInt) +val writer = new SigmaByteWriter +ConstantSerializer(builder).serialize(constant, writer) +val reader = new SigmaByteReader(writer.toBytes) +val deserialized = ConstantSerializer(builder).deserialize(reader) +assert(constant == deserialized) +``` +## Questions: + 1. What is the purpose of this code? + + This code defines a serializer for the Constant class in the Sigmastate library, which is used to serialize and deserialize constant values of various types. + +2. What other classes or libraries does this code depend on? + + This code depends on several other classes and libraries from the Sigmastate library, including SType, Value, SigmaBuilder, SigmaByteReader, SigmaByteWriter, and DataSerializer. + +3. Are there any potential performance or security concerns with this code? + + It is possible that there could be performance or security concerns with this code, particularly if it is used to serialize or deserialize large amounts of data or if it is used in a context where security is critical. However, without more information about the specific use case and context, it is difficult to say for certain. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.md new file mode 100644 index 0000000000..381b9845bc --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ConstantStore.scala) + +The `ConstantStore` class is used in the deserialization process of the project. It is responsible for storing and retrieving constant values of various types. The class takes an optional `IndexedSeq` of `Constant` objects as a constructor argument, which is used to initialize the internal `store` buffer. + +The `put` method is used to add a new `Constant` object to the `store` buffer. It takes a `Constant` object of any subtype of `SType` as an argument and returns a `ConstantPlaceholder` object of the same type. The `Constant` object is cast to `Constant[SType]` and added to the `store` buffer. Then, a new `ConstantPlaceholder` object is created using the `SigmaBuilder` instance passed as an implicit parameter. The `ConstantPlaceholder` object is initialized with the index of the newly added `Constant` object in the `store` buffer and its type. Finally, the `ConstantPlaceholder` object is cast to the appropriate subtype of `ConstantPlaceholder` and returned. + +The `get` method is used to retrieve a `Constant` object from the `store` buffer by its index. It takes an integer index as an argument and returns the `Constant` object at that index. + +The `getAll` method is used to retrieve all `Constant` objects from the `store` buffer as an `IndexedSeq`. It returns a copy of the `store` buffer as an array. + +Overall, the `ConstantStore` class provides a simple and efficient way to store and retrieve constant values during the deserialization process. It can be used in conjunction with other classes and methods to deserialize complex data structures in the project. + +Example usage: + +``` +val store = new ConstantStore() +val constant = Constant[SType](1) +val placeholder = store.put(constant) +val retrievedConstant = store.get(0) +val allConstants = store.getAll +``` +## Questions: + 1. What is the purpose of the ConstantStore class? + - The ConstantStore class is used for storing and retrieving Constant objects of a specific SType, and also provides a way to create ConstantPlaceholder objects. +2. What is the significance of the HOTSPOT comment? + - The HOTSPOT comment indicates that the code in the class is critical for deserialization and should not be modified for the sake of code readability or style. +3. What is the role of the SigmaBuilder implicit parameter in the put method? + - The SigmaBuilder implicit parameter is used to create a ConstantPlaceholder object with the correct type information, based on the SType of the Constant being stored. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.md new file mode 100644 index 0000000000..faa8a7892f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/CreateAvlTreeSerializer.scala) + +The `CreateAvlTreeSerializer` class is responsible for serializing and deserializing instances of the `CreateAvlTree` operation in the Sigma state language. The `CreateAvlTree` operation is used to create an authenticated AVL+ tree, which is a data structure that allows for efficient storage and retrieval of key-value pairs while ensuring the integrity of the data. + +The `CreateAvlTreeSerializer` class takes a constructor function as a parameter, which is used to create an instance of the `AvlTreeValue` class. This allows for flexibility in creating different types of AVL+ trees with varying parameters. + +The class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing instances of the `CreateAvlTree` operation. The `serialize` method takes an instance of `CreateAvlTree` and a `SigmaByteWriter` object, and writes the operation's parameters to the writer in a specific order. The `parse` method takes a `SigmaByteReader` object and reads the operation's parameters in the same order, then uses the constructor function to create an instance of `AvlTreeValue` with the parsed parameters. + +The class also defines several `DataInfo` objects that provide information about the types and sizes of the operation's parameters. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` to ensure that the serialized data is correctly formatted and can be deserialized properly. + +Overall, the `CreateAvlTreeSerializer` class plays an important role in the serialization and deserialization of the `CreateAvlTree` operation, which is a key component of the Sigma state language's functionality for creating authenticated AVL+ trees. Its flexibility in allowing for different types of AVL+ trees to be created makes it a valuable tool for developers working with the Sigma state language. + +Example usage: + +```scala +val serializer = CreateAvlTreeSerializer((flags, digest, keyLength, valueLength) => + AvlTreeValue(flags, digest, keyLength, valueLength) +) + +val avlTree = AvlTreeValue(Array[Byte](1, 2, 3), 32, None) +val serialized = serializer.serialize(CreateAvlTree(avlTree)) +val deserialized = serializer.parse(SigmaByteReader(serialized)).tree +assert(avlTree == deserialized) +``` +## Questions: + 1. What is the purpose of this code and what does it do? + + This code defines a serializer for the CreateAvlTree operation in the Sigma state language. It serializes and deserializes the operation's arguments to and from bytes. + +2. What other operations or values does this code depend on? + + This code depends on several other classes and objects from the sigmastate package, including SCollection, SOption, SigmaByteReader, SigmaByteWriter, AvlTreeValue, and ValueSerializer. + +3. Are there any potential performance or security concerns with this code? + + It is difficult to determine potential performance or security concerns without more context about the overall project and how this code is used. However, it is worth noting that this code is responsible for serializing and deserializing sensitive data related to the creation of an AVL tree, so it is important to ensure that it is implemented correctly and securely. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.md new file mode 100644 index 0000000000..6b450d40c0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/DataSerializer.scala) + +The `DataSerializer` object provides methods for serializing and deserializing data values of various types. It is used in tandem with the `ConstantSerializer` object to serialize and deserialize constants in the Sigma programming language. + +The `serialize` method takes a data value `v`, a type descriptor `tpe`, and a `SigmaByteWriter` object `w`. It recursively deconstructs the type structure of `tpe` and serializes the subcomponents of `v` accordingly. Primitive types are the leaves of the type tree, and they are served as the basis of recursion. The serialized data is written to the `SigmaByteWriter` object `w`. + +The `deserialize` method reads a data value from a `SigmaByteReader` object `r`. The data value bytes are expected to conform to the type descriptor `tpe`. The method recursively constructs the data value from the serialized subcomponents read from `r`. The data structure depth is limited by `r.maxTreeDepth`, which is `SigmaSerializer.MaxTreeDepth` by default. + +The `deserializeColl` method is a helper method for deserializing collections. It takes a length `len`, an element type descriptor `tpeElem`, and a `SigmaByteReader` object `r`. It constructs a collection of the specified length and element type from the serialized data read from `r`. + +The `DataSerializer` object is used in the larger project to serialize and deserialize constants in the Sigma programming language. For example, the `serialize` method is used to serialize constants in the `ConstantNode` class, which represents a constant value in a Sigma expression. The `deserialize` method is used to deserialize constants in the `ConstantNode` class and other classes that use constants. + +Example usage of the `serialize` method: + +``` +val value: Int = 42 +val tpe: SInt.type = SInt +val writer: SigmaByteWriter = new SigmaByteWriter() +DataSerializer.serialize(value, tpe, writer) +val bytes: Array[Byte] = writer.toBytes +``` + +Example usage of the `deserialize` method: + +``` +val bytes: Array[Byte] = Array(0, 0, 0, 42) +val tpe: SInt.type = SInt +val reader: SigmaByteReader = SigmaByteReader(bytes) +val value: Int = DataSerializer.deserialize(tpe, reader) +``` +## Questions: + 1. What is the purpose of the `DataSerializer` object? +- The `DataSerializer` object provides methods for serializing and deserializing data values of various types. + +2. What types of data values can be serialized and deserialized using the `DataSerializer` object? +- The `DataSerializer` object can serialize and deserialize data values of types such as `SUnit`, `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SString`, `SBigInt`, `SGroupElement`, `SSigmaProp`, `SBox`, `SAvlTree`, and `SCollectionType`. + +3. What is the purpose of the `deserializeColl` method? +- The `deserializeColl` method is used to deserialize a collection of data values of a given type. It takes in the length of the collection, the type of the elements in the collection, and a `SigmaByteReader` object, and returns a `Coll` object containing the deserialized data values. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.md new file mode 100644 index 0000000000..ed54907e2b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ErgoTreeSerializer.scala) + +The `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree instances, which represent the spending conditions of a transaction output in the Ergo platform. ErgoTree instances can be serialized with or without a size bit, and with or without constant segregation. The class provides methods for serializing and deserializing ErgoTree instances, as well as methods for substituting constants in a serialized ErgoTree. + +The `serializeErgoTree` method takes an ErgoTree instance and returns its serialized representation as an array of bytes. If the ErgoTree instance has an UnparsedErgoTree as its root, the original bytes are returned. Otherwise, the header, constants, and root of the ErgoTree are serialized. + +The `deserializeErgoTree` method takes an array of bytes and returns the corresponding ErgoTree instance. It first deserializes the header and optional size, then deserializes the constants and the root of the ErgoTree. If a ValidationException is thrown during deserialization, an UnparsedErgoTree is created with the original bytes and the exception. + +The `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It returns a new serialized ErgoTree with the constants at the specified positions replaced with the new values. This method is useful for using serialized scripts as pre-defined templates. + +Example usage: + +```scala +val ergoTree: ErgoTree = ... +val serializer = ErgoTreeSerializer.DefaultSerializer + +// Serialize ErgoTree +val serialized: Array[Byte] = serializer.serializeErgoTree(ergoTree) + +// Deserialize ErgoTree +val deserialized: ErgoTree = serializer.deserializeErgoTree(serialized) + +// Substitute constants +val positions: Array[Int] = Array(0, 2) +val newVals: Array[Constant[SType]] = Array(c1, c2) +val (newBytes, len) = serializer.substituteConstants(serialized, positions, newVals) +``` + +The rationale for soft-forkable ErgoTree serialization is explained in the comments, detailing how the header version check and size bit can be used to handle soft forks and maintain consensus. +## Questions: + 1. **Question**: What is the purpose of the `ErgoTreeSerializer` class? + **Answer**: The `ErgoTreeSerializer` class is responsible for serializing and deserializing ErgoTree objects, which represent the structure of Ergo smart contracts. It also provides methods for substituting constants in the serialized ErgoTree, allowing for efficient script templates. + +2. **Question**: How does the `substituteConstants` method work and what is its purpose? + **Answer**: The `substituteConstants` method takes a serialized ErgoTree with segregated constants, an array of positions, and an array of new constant values. It replaces the constants at the specified positions with the new values, allowing for the use of serialized scripts as pre-defined templates. This method is efficient, with a time complexity of O(n + m), where n is the number of positions and m is the number of constants. + +3. **Question**: What is the rationale behind the soft-forkable ErgoTree serialization? + **Answer**: The soft-forkable ErgoTree serialization allows for the possibility of upgrading the protocol without causing a hard fork. It ensures that nodes with different versions can still parse and validate scripts, and that the decision about a soft-fork can be made later. This is achieved by checking the content of the script against the version number in the header during deserialization and enforcing certain rules based on the version numbers of the nodes and the script. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.md new file mode 100644 index 0000000000..2061a926ee --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/FuncValueSerializer.scala) + +The code above is a Scala implementation of a serializer for the FuncValue class in the Sigmastate project. The FuncValue class represents a function value in the Sigmastate language, which is a typed functional language used for smart contracts on the Ergo blockchain. The purpose of this serializer is to convert a FuncValue object into a byte array that can be transmitted over the network or stored on disk, and to deserialize a byte array back into a FuncValue object. + +The FuncValueSerializer class is a subclass of the ValueSerializer class, which is a generic serializer for all types of values in Sigmastate. The FuncValueSerializer overrides the serialize and parse methods of the ValueSerializer class to handle the serialization and deserialization of FuncValue objects. The serialize method takes a FuncValue object and a SigmaByteWriter object as input, and writes the serialized byte array to the SigmaByteWriter. The parse method takes a SigmaByteReader object as input, reads the byte array from the SigmaByteReader, and returns a FuncValue object. + +The FuncValueSerializer class defines several DataInfo objects that describe the format of the serialized byte array. These DataInfo objects include information about the number of function arguments, the identifier and type of each argument, and the function body. The serialize method uses these DataInfo objects to write the serialized byte array in the correct format. The parse method uses the SigmaByteReader object to read the serialized byte array in the correct format, and constructs a FuncValue object from the deserialized data. + +Overall, the FuncValueSerializer class is an important component of the Sigmastate project, as it enables the serialization and deserialization of function values, which are a fundamental building block of smart contracts on the Ergo blockchain. An example of how this serializer might be used in the larger project is in the transmission of a smart contract from one node to another over the network. The FuncValueSerializer would be used to convert the smart contract into a byte array that can be transmitted over the network, and to reconstruct the smart contract on the receiving node from the byte array. +## Questions: + 1. What is the purpose of this code? +- This code defines a serializer for a function value in the Sigmastate language. + +2. What other classes or packages does this code depend on? +- This code depends on classes and packages from the Sigmastate and Sigmastate.utils packages. + +3. What is the format of the serialized function value? +- The serialized function value includes the number of arguments, the identifier and type of each argument, and the function body. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.md new file mode 100644 index 0000000000..b053d667f5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GetVarSerializer.scala) + +The code above is a Scala implementation of a serializer for the GetVar operation in the SigmaState project. The SigmaState project is a framework for building smart contracts on top of the UTXO (Unspent Transaction Output) model used in cryptocurrencies like Bitcoin. The GetVar operation retrieves a context variable from the current state of the UTXO. + +The GetVarSerializer class is responsible for serializing and deserializing instances of the GetVar operation. It takes a constructor function as a parameter that is used to create a new instance of the GetVar operation during deserialization. The class extends the ValueSerializer trait, which is a generic serializer for SigmaState values. + +The serialize method takes a GetVar instance and a SigmaByteWriter instance as parameters. It writes the variable ID and the expected type of the context variable to the SigmaByteWriter. The parse method takes a SigmaByteReader instance as a parameter and reads the variable ID and the type of the context variable from it. It then uses the constructor function to create a new instance of the GetVar operation with the retrieved variable ID and type. + +This serializer is an important part of the SigmaState project as it allows for the serialization and deserialization of the GetVar operation, which is a crucial part of building smart contracts on the UTXO model. It can be used in conjunction with other serializers and deserializers to build a complete serialization framework for the SigmaState project. + +Example usage of the GetVarSerializer class: + +``` +val serializer = GetVarSerializer((varId: Byte, tpe: SType) => GetVar(varId, tpe)) +val getVar = GetVar(1, SInt) +val writer = new SigmaByteWriter() +serializer.serialize(getVar, writer) +val bytes = writer.toBytes +val reader = SigmaByteReader(bytes) +val parsed = serializer.parse(reader) +assert(parsed == getVar) +``` +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for the `GetVar` operation in the Sigma state language, which is used to retrieve a context variable in a UTXO transaction. +2. What other operations are available in the `sigmastate` package? + - The `sigmastate` package contains other operations and values used in the Sigma state language, such as `AND`, `OR`, `Xor`, `IntConstant`, `ByteArrayConstant`, etc. +3. What is the role of the `cons` parameter in the `GetVarSerializer` case class? + - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value` of type `SOption[SType]`. It is used to construct a `GetVar` object from the serialized data. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.md new file mode 100644 index 0000000000..e897faa3a1 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/GroupElementSerializer.scala) + +The `GroupElementSerializer` object is responsible for serializing and deserializing elliptic curve points to and from bytes. This is an important functionality in the larger project as elliptic curve cryptography is used extensively. + +The serializer encodes every point in compressed form, meaning only the X coordinate and the sign of Y are stored. For secp256k1 point, 33 bytes are needed. The first byte indicates whether the Y coordinate is positive or negative (2 for positive, 3 for negative), while the other 32 bytes contain the X coordinate. The special case of an infinity point is encoded by 33 zeroes. Therefore, every elliptic curve point is always encoded with 33 bytes. + +The `serialize` method takes an elliptic curve point and a `SigmaByteWriter` object as input. If the point is an infinity point, it writes the pre-defined `identityPointEncoding` to the writer. Otherwise, it normalizes the point, determines the sign of Y, gets the encoded X coordinate, and creates a new byte array `PO` of length `X.length + 1`. It sets the first byte of `PO` to 0x03 if the Y sign is negative, and 0x02 otherwise. It then copies the X coordinate to the remaining bytes of `PO`. Finally, it writes `PO` to the writer. + +The `parse` method takes a `SigmaByteReader` object as input and returns an elliptic curve point. It reads `encodingSize` bytes from the reader and checks if the first byte is zero. If it is not zero, it decodes the point using the `decodePoint` method of the `curve` object. Otherwise, it returns the identity point of the curve. + +The `parse` method is also overloaded to take an array of bytes as input. It creates a new `SigmaByteReader` object using the `startReader` method of the `SigmaSerializer` object and passes it to the `parse` method. + +Overall, the `GroupElementSerializer` object provides an essential functionality for the project by allowing elliptic curve points to be serialized and deserialized to and from bytes. +## Questions: + 1. What is the purpose of this code? +- This code is a serializer that encodes and decodes elliptic curve points to and from bytes. + +2. What type of elliptic curve is being used? +- The code is using the secp256k1 elliptic curve. + +3. How are infinity points encoded? +- Infinity points are encoded as an array of 33 zeroes. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.md new file mode 100644 index 0000000000..44cebddf05 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/LogicalNotSerializer.scala) + +The code above is a Scala implementation of a serializer for the LogicalNot operation in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of existing blockchain protocols. + +The LogicalNot operation is a unary logical negation operation that takes a boolean input and returns its negation. The purpose of this serializer is to provide a way to convert LogicalNot objects into a byte representation that can be transmitted over the network or stored in a database. + +The LogicalNotSerializer class takes a constructor argument `cons` which is a function that takes a BoolValue object and returns a new BoolValue object. This function is used to construct a new LogicalNot object during deserialization. + +The `opDesc` method returns the LogicalNot operation object, which is used to identify the operation during serialization and deserialization. The `inputInfo` value is a DataInfo object that describes the input argument to the LogicalNot operation. + +The `serialize` method takes a LogicalNot object and a SigmaByteWriter object and writes the input value of the LogicalNot object to the SigmaByteWriter using the `putValue` method. + +The `parse` method takes a SigmaByteReader object and reads the input value of the LogicalNot object using the `getValue` method. It then constructs a new BoolValue object using the `cons` function and returns it. + +This serializer can be used in the larger SigmaState project to serialize and deserialize LogicalNot objects for use in smart contracts. For example, a smart contract that uses LogicalNot operations could use this serializer to store and retrieve LogicalNot objects from a database or transmit them over the network. + +Example usage: + +``` +val logicalNot = LogicalNot(BoolConstant(true)) +val serializer = LogicalNotSerializer((bv: BoolValue) => bv) +val writer = new SigmaByteWriter() +serializer.serialize(logicalNot, writer) +val bytes = writer.toBytes +val reader = SigmaByteReader(bytes) +val parsed = serializer.parse(reader) +assert(parsed == logicalNot) +``` +## Questions: + 1. What is the purpose of this code and what does it do? + This code is a serializer for the LogicalNot operation in the Sigma protocol. It serializes and deserializes LogicalNot objects. + +2. What is the inputArg used for in this code? + The inputArg is used to define the type of the input argument for the LogicalNot operation. + +3. What is the significance of the cons parameter in the LogicalNotSerializer case class? + The cons parameter is a constructor function that takes a BoolValue as input and returns a BoolValue. It is used to create a new LogicalNot object during deserialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.md new file mode 100644 index 0000000000..4403b0e1a9 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/MethodCallSerializer.scala) + +The `MethodCallSerializer` class is responsible for serializing and deserializing `MethodCall` objects in the `sigmastate` package. A `MethodCall` is a node in the Sigma protocol's abstract syntax tree (AST) that represents a method call on an object. The purpose of this class is to convert `MethodCall` objects to and from a byte stream that can be transmitted over the network or stored on disk. + +The `MethodCallSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all types of `Value` objects in the Sigma protocol. It takes a constructor function as a parameter that is used to create a new `Value` object from the deserialized data. The `MethodCallSerializer` class overrides the `serialize` and `parse` methods of the `ValueSerializer` class to implement the serialization and deserialization logic for `MethodCall` objects. + +The `serialize` method writes the `MethodCall` object to a `SigmaByteWriter` object. It first writes the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. The `parse` method reads the `MethodCall` object from a `SigmaByteReader` object. It reads the type code and method code of the method being called, followed by the receiver object and the arguments to the method call. It then constructs a new `MethodCall` object using the constructor function passed to the `MethodCallSerializer` constructor. + +The `MethodCallSerializer` class also defines several `DataInfo` objects that describe the format of the serialized data. These objects are used by the `SigmaByteWriter` and `SigmaByteReader` classes to write and read the data in the correct format. + +The `MethodCallSerializer` class also defines a `getComplexity` method that returns the complexity of the `MethodCall` object. This method is used to calculate the cost of executing the `MethodCall` object in the Sigma protocol. + +Overall, the `MethodCallSerializer` class is an important component of the Sigma protocol's serialization and deserialization infrastructure. It allows `MethodCall` objects to be transmitted over the network or stored on disk in a compact and efficient format. +## Questions: + 1. What is the purpose of this code? +- This code defines a serializer for the MethodCall class in the sigmastate package, which is used to serialize and deserialize method calls in the ErgoTree language. + +2. What is the significance of the `specializeFor` method call? +- The `specializeFor` method call is used to create a specialized SMethod instance based on the type of the receiver object and the types of the arguments passed to the method call. This ensures that the method call is monomorphic and can be properly serialized and deserialized. + +3. What is the purpose of the `getComplexity` method? +- The `getComplexity` method returns the complexity of the MethodCall serialization, which is used to calculate the overall complexity of the ErgoTree. However, in this implementation, the complexity is added explicitly in the `parse` method, so this method returns 0. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.md new file mode 100644 index 0000000000..97bb83c4b9 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQArithOpSerializer.scala) + +The ModQArithOpSerializer is a class that serializes and deserializes ModQArithOp objects. ModQArithOp is a class that represents modular arithmetic operations on BigIntegers. The purpose of this serializer is to convert ModQArithOp objects into a byte stream that can be transmitted over a network or stored in a file, and to convert the byte stream back into ModQArithOp objects. + +The ModQArithOpSerializer class takes two arguments: opDesc, which is an instance of ModQArithOpCompanion, and cons, which is a function that takes two BigIntValue objects and returns a new BigIntValue object. The opDesc argument provides information about the ModQArithOp operation being serialized, such as the types of its arguments. The cons argument is used to create a new ModQArithOp object from the deserialized arguments. + +The serialize method takes a ModQArithOp object and a SigmaByteWriter object as arguments. It writes the left and right arguments of the ModQArithOp object to the SigmaByteWriter object using the putValue method. The putValue method converts the argument to a byte stream and writes it to the SigmaByteWriter object. + +The parse method takes a SigmaByteReader object as an argument. It reads the left and right arguments of the ModQArithOp object from the SigmaByteReader object using the getValue method. The getValue method reads a byte stream from the SigmaByteReader object and converts it to a Value object. The asBigInt method is then used to convert the Value object to a BigInt object. Finally, the cons function is called with the two BigInt objects as arguments to create a new ModQArithOp object. + +This serializer is an important component of the larger project because it allows ModQArithOp objects to be transmitted over a network or stored in a file. It can be used in conjunction with other serializers to transmit and store complex data structures that include ModQArithOp objects. For example, a transaction that includes a ModQArithOp operation could be serialized using this serializer and transmitted over a network to be included in a blockchain. +## Questions: + 1. What is the purpose of this code? + - This code is a serializer for ModQArithOp, which is a type of arithmetic operation on modular integers in the Sigma protocol. + +2. What is the expected input and output of this code? + - The input is a ModQArithOp object, which consists of two BigIntValue arguments. The output is a serialized version of the object or a BigIntValue resulting from parsing a serialized object. + +3. Are there any known issues or areas for improvement in this code? + - Yes, there is a TODO comment indicating that the code needs to be covered with tests. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.md new file mode 100644 index 0000000000..a93d44d628 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ModQSerializer.scala) + +The code above is a Scala implementation of a serializer for the ModQ class in the Sigmastate project. The ModQ class represents a modular integer value, which is a value that is reduced modulo a prime number. The purpose of this serializer is to convert ModQ objects into a byte stream that can be transmitted or stored, and to convert byte streams back into ModQ objects. + +The serializer is implemented as an object called ModQSerializer, which extends the ValueSerializer trait. The ValueSerializer trait is a generic trait that defines methods for serializing and deserializing objects of any class that extends the Value trait. The Value trait is a trait that is extended by all value types in the Sigmastate project. + +The ModQSerializer object defines two methods for serializing and deserializing ModQ objects. The serialize method takes a ModQ object and a SigmaByteWriter object as input, and writes the ModQ object to the SigmaByteWriter object as a byte stream. The parse method takes a SigmaByteReader object as input, reads a byte stream from the SigmaByteReader object, and returns a ModQ object. + +The ModQSerializer object also defines an opDesc method that returns the ModQ object's operation description. This method is used to identify the ModQ object's operation when it is serialized and deserialized. + +This serializer is an important component of the Sigmastate project, as it allows ModQ objects to be transmitted and stored in a compact and efficient manner. It can be used in conjunction with other serializers in the project to serialize and deserialize complex data structures. For example, the serializer can be used to serialize and deserialize transactions in the Sigmastate blockchain. + +Example usage: + +``` +val modQ = ModQ(1234567890) +val writer = new SigmaByteWriter() +ModQSerializer.serialize(modQ, writer) +val bytes = writer.toBytes() + +val reader = new SigmaByteReader(bytes) +val parsedModQ = ModQSerializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code? + This code defines a serializer for the ModQ type in the Sigmastate library, which is used to represent modular arithmetic operations. + +2. What is the expected input and output of the `serialize` and `parse` methods? + The `serialize` method takes a ModQ object and a SigmaByteWriter and writes the object's input value to the writer. The `parse` method takes a SigmaByteReader and returns a ModQ object constructed from the reader's input. + +3. Why is there a TODO comment in the code? + The TODO comment indicates that the code needs to be covered with tests before the next major version release of the library (v6.0). \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.md new file mode 100644 index 0000000000..7e4f7eb073 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OneArgumentOperationSerializer.scala) + +The code above is a Scala implementation of a serializer for a specific type of operation in the SigmaState project. SigmaState is a blockchain protocol that enables the creation of smart contracts with advanced privacy features. The OneArgumentOperationSerializer is a class that serializes and deserializes OneArgumentOperation objects, which are operations that take a single input value and produce a result of a specific type. + +The OneArgumentOperationSerializer takes two parameters: an instance of the OneArgumentOperationCompanion class, which provides information about the operation being serialized, and a constructor function that creates a new SValue object from a Value object of a specific type. The serializer extends the ValueSerializer class, which provides methods for serializing and deserializing values. + +The serialize method takes a OneArgumentOperation object and a SigmaByteWriter object as input. It then uses the putValue method of the SigmaByteWriter class to write the input value of the operation to the output stream. The objInfo parameter is used to provide information about the type of the input value. + +The parse method takes a SigmaByteReader object as input and returns an SValue object. It reads the input value from the input stream using the getValue method of the SigmaByteReader class and then constructs a new SValue object using the constructor function provided in the constructor. + +Overall, the OneArgumentOperationSerializer is an important component of the SigmaState project, as it enables the serialization and deserialization of OneArgumentOperation objects, which are used extensively in the creation of smart contracts. The serializer can be used in conjunction with other components of the SigmaState project to create and execute smart contracts with advanced privacy features. +## Questions: + 1. What is the purpose of this code and what does it do? + This code defines a serializer for a OneArgumentOperation in the Sigmastate serialization library, which is used to serialize and deserialize values in the Sigmastate language. + +2. What is the significance of the type parameter T and how is it used in this code? + The type parameter T represents the type of the input value for the OneArgumentOperation, and it is used to ensure that the input value is of the correct type when serializing and deserializing. + +3. How does this code handle errors or invalid input values? + This code does not explicitly handle errors or invalid input values, so it is up to the caller to ensure that the input value is valid and of the correct type. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.md new file mode 100644 index 0000000000..4defa94d26 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OpCodes.scala) + +The code provided is a set of traits and objects that define the encoding of types and values for serialization in the Sigmastate project. The purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. + +The `TypeCodes` trait defines the encoding of types for serialization. It includes two constants, `FirstDataType` and `LastDataType`, which define the range of byte values that represent data types. The `FirstFuncType` and `LastFuncType` constants define the range of byte values that represent functional types. + +The `ValueCodes` trait extends `TypeCodes` and defines the encoding of values for serialization. It includes a constant `ConstantCode` that represents a constant value and a `LastConstantCode` constant that represents the last constant code. + +The `OpCodes` object extends `ValueCodes` and defines the set of all possible IR graph nodes that can be used in the ErgoTree. It includes a set of constants that represent different operations, such as arithmetic operations, environment codes, and cryptographic operations. Each constant is assigned a unique byte value that falls within the range of `LastConstantCode` and `255`. + +The purpose of this code is to provide a way to encode and decode different types of data and values in a way that can be easily serialized and deserialized. It is used in the larger Sigmastate project to enable the serialization and deserialization of data and values in a way that is efficient and easy to use. + +Example usage of this code might include encoding and decoding values in a smart contract or other application that uses the Sigmastate protocol. For example, to encode a constant value, one might use the `ConstantCode` constant and then decode an instance of `SType` and then decode data using `DataSerializer`. + +Overall, this code provides an important foundation for the Sigmastate project, enabling efficient and effective serialization and deserialization of data and values. +## Questions: + 1. What is the purpose of the `TypeCodes` trait and what are the values of `FirstDataType` and `LastDataType`? + + The `TypeCodes` trait defines the encoding of types for serialization. `FirstDataType` and `LastDataType` represent the range of byte values that are used to recognize all data types. + +2. What is the purpose of the `OpCodes` object and how are op codes represented? + + The `OpCodes` object defines the set of all possible IR graph nodes that can appear in ErgoTree. Op codes are represented as byte-sized codes and stored as a single byte. Extended codes are represented as a Short and serialized using VLQ. + +3. What is the purpose of the `ValueCodes` trait and what is the significance of `ConstantCode` and `LastConstantCode`? + + The `ValueCodes` trait defines the encoding of values for serialization. `ConstantCode` represents the op code used to encode constant values, and `LastConstantCode` represents the last constant code, which is used to represent generic function types. This allows for optimized encoding of constant values to save space in serialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.md new file mode 100644 index 0000000000..692f7bba86 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/OptionGetOrElseSerializer.scala) + +The code above is a part of the Sigmastate serialization package and is responsible for serializing and deserializing the OptionGetOrElse operation. The OptionGetOrElse operation is used in the Sigmastate language to retrieve a value from an optional input, and if the input is empty, return a default value instead. + +The OptionGetOrElseSerializer class is a custom serializer for the OptionGetOrElse operation. It takes a constructor function as a parameter, which is used to create a new OptionGetOrElse object during deserialization. The class extends the ValueSerializer class, which is a generic serializer for all Sigmastate values. + +During serialization, the serialize method takes an OptionGetOrElse object and a SigmaByteWriter object as input. It then writes the input and default values of the OptionGetOrElse object to the SigmaByteWriter object using the putValue method. The putValue method is a generic method that can write any Sigmastate value to the SigmaByteWriter object. + +During deserialization, the parse method reads the input and default values from a SigmaByteReader object and passes them to the constructor function to create a new OptionGetOrElse object. The getValue method of the SigmaByteReader object is used to read Sigmastate values from the byte stream. + +Overall, the OptionGetOrElseSerializer class is an important part of the Sigmastate serialization package and is used to serialize and deserialize the OptionGetOrElse operation. It provides a custom serialization format for the operation, which is optimized for size and efficiency. Developers working with the Sigmastate language can use this class to serialize and deserialize OptionGetOrElse objects as needed. + +Example usage: + +``` +val input: Value[SOption[SType]] = SOption[Int](Some(5)) +val default: Value[SType] = IntConstant(0) +val op: OptionGetOrElse[SType] = OptionGetOrElse(input, default) +val serializer: OptionGetOrElseSerializer = OptionGetOrElseSerializer(op.cons) +val writer: SigmaByteWriter = new SigmaByteWriter() +serializer.serialize(op, writer) +val bytes: Array[Byte] = writer.toBytes + +// Deserialize bytes back to OptionGetOrElse object +val reader: SigmaByteReader = SigmaByteReader(bytes) +val deserializedOp: OptionGetOrElse[SType] = serializer.parse(reader).asInstanceOf[OptionGetOrElse[SType]] +``` +## Questions: + 1. What is the purpose of the `OptionGetOrElse` class and how is it used in this code? + - The `OptionGetOrElse` class is used to get the value of an `SOption` type or return a default value if it is empty. This code provides a serializer for the `OptionGetOrElse` class. +2. What is the role of the `ValueSerializer` trait and how does it relate to this code? + - The `ValueSerializer` trait is used to serialize and deserialize values of a specific type. In this code, it is used to serialize and deserialize values of the `OptionGetOrElse` class. +3. What is the purpose of the `opDesc` method and how is it used in this code? + - The `opDesc` method returns a description of the operation that the serializer is used for. In this code, it returns the description of the `OptionGetOrElse` operation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.md new file mode 100644 index 0000000000..a0b8a6831f --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/PropertyCallSerializer.scala) + +The `PropertyCallSerializer` class is responsible for serializing and deserializing `PropertyCall` objects in the `sigmastate` package. A `PropertyCall` is a type of `MethodCall` that represents a call to a property of an object. + +The `PropertyCallSerializer` class extends the `ValueSerializer` class and overrides its methods to provide serialization and deserialization functionality for `PropertyCall` objects. The `serialize` method takes a `MethodCall` object and a `SigmaByteWriter` object as input and writes the serialized data to the `SigmaByteWriter`. The `parse` method takes a `SigmaByteReader` object as input and reads the serialized data from it to create a `PropertyCall` object. + +The `PropertyCallSerializer` class has a constructor that takes a function as input. This function is used to create a `Value` object from the deserialized data. The `cons` function takes four arguments: a `Value` object representing the receiver object of the property call, an `SMethod` object representing the method being called, a sequence of `Value` objects representing the arguments to the method call, and an `STypeSubst` object representing the type substitutions for the method call. + +The `PropertyCallSerializer` class also defines three `DataInfo` objects that provide information about the serialized data. The `typeCodeInfo` object represents the type of the method being called, the `methodCodeInfo` object represents the code of the property being called, and the `objInfo` object represents the receiver object of the property call. + +The `PropertyCallSerializer` class is used in the larger project to serialize and deserialize `PropertyCall` objects. For example, if the project needs to store `PropertyCall` objects in a database or send them over a network, the `PropertyCallSerializer` class can be used to serialize the objects into a byte stream and deserialize them back into `PropertyCall` objects. + +Here is an example of how the `PropertyCallSerializer` class can be used to serialize and deserialize a `PropertyCall` object: + +``` +val propertyCall = PropertyCall(receiverObject, method, arguments) +val serializer = PropertyCallSerializer(consFunction) +val writer = new SigmaByteWriter() +serializer.serialize(propertyCall, writer) +val bytes = writer.toBytes() + +// Deserialize the bytes back into a PropertyCall object +val reader = new SigmaByteReader(bytes) +val deserializedPropertyCall = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code file? +- This code file contains a serializer for a property call in the Sigma state language. + +2. What is the significance of the `getComplexity` method? +- The `getComplexity` method returns the complexity of the property call, which is used in the `parse` method to add complexity to the `SigmaByteReader`. + +3. What is the `cons` parameter in the `PropertyCallSerializer` case class? +- The `cons` parameter is a function that constructs a `Value[SType]` object from a receiver object, a specialized method, a sequence of values, and a substitution. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.md new file mode 100644 index 0000000000..9dd80d8da6 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ProveDlogSerializer.scala) + +The code provided is a part of the Sigmastate serialization module. This module is responsible for serializing and deserializing various types of objects used in the Sigmastate language. The code defines two serializer classes, ProveDlogSerializer and CreateProveDlogSerializer, which are used to serialize and deserialize objects of type ProveDlog and CreateProveDlog, respectively. + +ProveDlog is a cryptographic primitive used in the Sigmastate language to represent a discrete logarithm proof of knowledge. It is implemented using elliptic curve cryptography and is used to prove that a given value is a valid public key. The ProveDlogSerializer class takes a constructor argument of type EcPointType => ProveDlog, which is used to create a new instance of ProveDlog. The serialize method of this class serializes the value of the ProveDlog object using the GroupElementSerializer class, which is responsible for serializing and deserializing elliptic curve points. The parse method of this class deserializes the value of the ProveDlog object using the GroupElementSerializer class and returns a new instance of ProveDlog using the constructor argument. + +CreateProveDlog is an operation in the Sigmastate language that creates a ProveDlog object from a given SGroupElement value. The CreateProveDlogSerializer class takes a constructor argument of type Value[SGroupElement.type] => SigmaPropValue, which is used to create a new instance of SigmaPropValue from a given SGroupElement value. The serialize method of this class serializes the value of the CreateProveDlog object using the SigmaByteWriter class, which is responsible for writing data to a byte stream. The parse method of this class deserializes the value of the CreateProveDlog object using the SigmaByteReader class, which is responsible for reading data from a byte stream, and returns a new instance of SigmaPropValue using the constructor argument. + +Overall, these serializer classes are used to serialize and deserialize ProveDlog and CreateProveDlog objects in the Sigmastate language. They are an important part of the Sigmastate serialization module and are used extensively throughout the project. Below is an example of how the CreateProveDlogSerializer class can be used to serialize a CreateProveDlog object: + +``` +val value = SGroupElement.random() +val createProveDlog = CreateProveDlog(value) +val serializer = CreateProveDlogSerializer((v: Value[SGroupElement.type]) => SigmaDsl.SigmaProp(v)) +val bytes = SigmaSerializer.startWriter().putValue(createProveDlog, serializer).toBytes +``` +## Questions: + 1. What is the purpose of the `ProveDlogSerializer` class? + + The `ProveDlogSerializer` class is responsible for serializing and deserializing `ProveDlog` objects, which are used in the DLogProtocol for proving knowledge of discrete logarithms. + +2. What is the purpose of the `CreateProveDlogSerializer` class? + + The `CreateProveDlogSerializer` class is responsible for serializing and deserializing `CreateProveDlog` objects, which are used to create a `SigmaPropValue` representing a public key that can be used in a Sigma protocol. + +3. What is the relationship between `ProveDlogSerializer` and `CreateProveDlogSerializer`? + + `ProveDlogSerializer` is used by `CreateProveDlogSerializer` to serialize and deserialize the `ProveDlog` object that is used as an argument to `CreateProveDlog`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.md new file mode 100644 index 0000000000..efad7e7d7c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SelectFieldSerializer.scala) + +The code above is a Scala implementation of a serializer for the SelectField operation in the SigmaState project. The SelectField operation is used to select a specific field from a tuple. The purpose of this serializer is to convert a SelectField object into a byte stream that can be transmitted over a network or stored in a file. + +The code imports several classes and objects from the SigmaState project, including SelectFieldInfo, Value, SValue, STuple, SType, and SigmaByteReader/SigmaByteWriter. It also defines a case class called SelectFieldSerializer that extends the ValueSerializer trait for SelectField objects. The constructor for SelectFieldSerializer takes a function that creates a new Value object from a tuple and a byte representing the index of the selected field. + +The SelectFieldSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes a SelectField object and a SigmaByteWriter object and writes the input value and field index to the writer using the putValue and put methods, respectively. The parse method takes a SigmaByteReader object and reads the input value and field index from the reader. It then calls the constructor function to create a new Value object from the tuple and field index. + +This serializer can be used in the larger SigmaState project to serialize and deserialize SelectField objects for transmission over a network or storage in a file. For example, if a user wants to select a specific field from a tuple and send it to another node in the network, they can use the SelectField operation and then serialize the resulting SelectField object using this serializer. The resulting byte stream can then be transmitted over the network or stored in a file. On the receiving end, the byte stream can be deserialized using this serializer to recreate the original SelectField object. +## Questions: + 1. What is the purpose of this code and what problem does it solve? +- This code defines a serializer for the SelectField operation in the Sigma state language, which allows for selecting a field from a tuple. It solves the problem of serializing and deserializing SelectField objects for storage or transmission. + +2. What other operations or values does this code depend on? +- This code depends on the SelectField operation, as well as the STuple and SType types from the sigmastate package. It also uses the SigmaByteReader and SigmaByteWriter classes from the sigmastate.utils package. + +3. How can this code be extended or modified for different use cases? +- This code can be extended or modified by creating a new ValueSerializer for a different operation or value type, or by modifying the existing SelectFieldSerializer to handle additional cases or custom serialization logic. The cons function can also be replaced with a different function to construct the resulting Value object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.md new file mode 100644 index 0000000000..6adf5b276a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropBytesSerializer.scala) + +The code above is a part of the sigmastate.serialization package and contains an object called SigmaPropBytesSerializer. This object is responsible for serializing and deserializing SigmaPropBytes objects, which are used in the larger project to represent a cryptographic proof of ownership of a certain asset. + +The SigmaPropBytesSerializer object extends the ValueSerializer trait, which provides methods for serializing and deserializing values. It also imports the SigmaPropBytesInfo object from the sigmastate.Operations package, which contains information about the SigmaPropBytes operation. + +The opDesc method in the SigmaPropBytesSerializer object returns the SigmaPropBytes operation description, which is used to identify the operation during serialization and deserialization. + +The thisInfo field in the SigmaPropBytesSerializer object is a DataInfo object that contains information about the SigmaPropBytes object being serialized or deserialized. + +The serialize method in the SigmaPropBytesSerializer object takes a SigmaPropBytes object and a SigmaByteWriter object as input and writes the serialized form of the SigmaPropBytes object to the SigmaByteWriter object. It does this by calling the putValue method of the SigmaByteWriter object and passing in the input of the SigmaPropBytes object and the thisInfo field. + +The parse method in the SigmaPropBytesSerializer object takes a SigmaByteReader object as input and reads the serialized form of a SigmaPropBytes object from the SigmaByteReader object. It then creates a new SigmaPropBytes object with the parsed input and returns it. + +Overall, the SigmaPropBytesSerializer object is an important part of the larger project as it provides a way to serialize and deserialize SigmaPropBytes objects, which are used to represent cryptographic proofs of ownership. This object can be used by other parts of the project to serialize and deserialize SigmaPropBytes objects as needed. +## Questions: + 1. What is the purpose of this code and what does it do? + - This code is a serializer for the `SigmaPropBytes` class, which is used to represent Sigma-protocols in the SigmaState language. It provides methods for serializing and parsing `SigmaPropBytes` objects using a `SigmaByteWriter` and `SigmaByteReader`, respectively. + +2. What other classes or packages does this code depend on? + - This code depends on several other classes and packages from the `sigmastate` and `sigmastate.utxo` packages, including `SValue`, `SType`, `Values`, `Terms`, `SigmaByteWriter`, `SigmaByteReader`, and `SigmaPropBytesInfo`. + +3. Are there any potential issues or limitations with this code? + - One potential issue with this code is that it assumes that the input `SigmaPropBytes` object has a non-null `input` field, which could cause a `NullPointerException` if this assumption is not met. Additionally, it is unclear from this code whether the `DataInfo` object used in the `serialize` method is properly initialized and configured. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.md new file mode 100644 index 0000000000..171118c9db --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaPropIsProvenSerializer.scala) + +This code is a part of the Sigmastate project and is responsible for serializing and deserializing instances of the SigmaPropIsProven class. The SigmaPropIsProven class is used to represent a Sigma-protocol proof that a given SigmaProp (a cryptographic primitive used in the Sigmastate language) has been proven. + +The code defines an object called SigmaPropIsProvenSerializer, which extends the ValueSerializer trait for the SigmaPropIsProven class. The ValueSerializer trait is used to define serialization and deserialization methods for a given class. + +The opDesc method returns the SigmaPropIsProven object, which is used to identify the class during serialization and deserialization. The serialize method takes an instance of SigmaPropIsProven and a SigmaByteWriter object and writes the input value of the SigmaPropIsProven object to the SigmaByteWriter. The parse method takes a SigmaByteReader object and reads the input value from it, then creates a new instance of SigmaPropIsProven with the input value and returns it. + +This code is used in the larger Sigmastate project to enable serialization and deserialization of SigmaPropIsProven objects. This is important because SigmaPropIsProven objects are used in the Sigmastate language to represent proofs of ownership of assets in the UTXO (Unspent Transaction Output) model. By enabling serialization and deserialization of these objects, the Sigmastate project can more easily transmit and store proofs of ownership in a secure and efficient manner. + +Example usage of this code might look like: + +``` +val sigmaProp = // create a SigmaProp object +val isProven = SigmaPropIsProven(sigmaProp) // create a SigmaPropIsProven object with the SigmaProp +val writer = new SigmaByteWriter() +SigmaPropIsProvenSerializer.serialize(isProven, writer) // serialize the SigmaPropIsProven object +val bytes = writer.toBytes // get the serialized bytes +val reader = SigmaByteReader(bytes) +val parsed = SigmaPropIsProvenSerializer.parse(reader) // deserialize the bytes into a new SigmaPropIsProven object +``` +## Questions: + 1. What is the purpose of the `SigmaPropIsProven` class? + - `SigmaPropIsProven` is a class that represents a boolean value indicating whether a given `SigmaProp` is proven or not. + +2. What is the `ValueSerializer` trait used for? + - The `ValueSerializer` trait is used to define serialization and deserialization methods for a specific type of value. + +3. What is the `opDesc` method used for in the `SigmaPropIsProvenSerializer` object? + - The `opDesc` method is used to return the `SigmaPropIsProven` object, which represents the operation being serialized/deserialized. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.md new file mode 100644 index 0000000000..7c588bb47b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SigmaSerializer.scala) + +The code provided is a collection of helper functions and abstract classes used for serialization and deserialization of objects in the Sigma protocol. The Sigma protocol is a privacy-preserving smart contract platform that allows for the creation of complex contracts with advanced privacy features. + +The `SigmaSerializer` object contains helper functions for reading and writing bytes to and from a `SigmaByteReader` and `SigmaByteWriter`, respectively. These functions are used in the serialization and deserialization of objects in the Sigma protocol. The `startReader` function takes an array of bytes and an optional starting position and returns a `SigmaByteReader` object that can be used to read values from the byte array. The `startWriter` function returns a `SigmaByteWriter` object that can be used to write values to a byte array. + +The `SigmaSerializer` abstract class is a base class for all Sigma serializers. It defines two abstract methods: `serialize` and `parse`. The `serialize` method takes an object of type `T` and a `SigmaByteWriter` object and writes the object to the writer. The `parse` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `SigmaSerializer` class also provides implementations for the `toBytes` and `fromBytes` methods, which use the `serialize` and `parse` methods to serialize and deserialize objects. + +The `SigmaSerializerCompanion` trait is a companion object for Sigma serializers. It defines three abstract methods: `getSerializer`, `deserialize`, and `serialize`. The `getSerializer` method takes an `OpCode` and returns a Sigma serializer for that opcode. The `deserialize` method takes a `SigmaByteReader` object and returns an object of type `TFamily`. The `serialize` method takes an object of type `TFamily` and a `SigmaByteWriter` object and writes the object to the writer. + +Overall, this code provides a framework for serialization and deserialization of objects in the Sigma protocol. It allows for the creation of custom serializers for different types of objects in the protocol, which can be used to read and write those objects to and from byte arrays. This functionality is essential for the proper functioning of the Sigma protocol, as it allows for the secure transfer of data between different nodes in the network. +## Questions: + 1. What is the purpose of the `SigmaSerializer` object? + + The `SigmaSerializer` object provides helper functions for use in serializers, including functions for starting a reader or writer and defining constants. + +2. What is the purpose of the `SigmaSerializer` abstract class? + + The `SigmaSerializer` abstract class is a serializer for a specific type of object (`TFamily`) that provides methods for converting the object to and from bytes. + +3. What is the purpose of the `SigmaSerializerCompanion` trait? + + The `SigmaSerializerCompanion` trait defines methods for serializing and deserializing objects of type `TFamily`, as well as getting a serializer for a specific opcode. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.md new file mode 100644 index 0000000000..17aa612a14 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.md @@ -0,0 +1,16 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/SubstConstantsSerializer.scala) + +The `SubstConstantsSerializer` object is responsible for serializing and deserializing instances of the `SubstConstants` class, which is used in the larger project to substitute constants in a Sigma protocol script. + +The `SubstConstants` class takes three arguments: `scriptBytes`, `positions`, and `newValues`. `scriptBytes` is a byte array representing the original script, `positions` is an array of integers representing the positions of the constants to be substituted, and `newValues` is an array of new values to replace the constants at the specified positions. + +The `SubstConstantsSerializer` object provides two methods: `serialize` and `parse`. The `serialize` method takes an instance of `SubstConstants` and a `SigmaByteWriter` object, and writes the values of `scriptBytes`, `positions`, and `newValues` to the writer using the `putValue` method. The `parse` method takes a `SigmaByteReader` object and reads the values of `scriptBytes`, `positions`, and `newValues` from the reader using the `getValue` method, and returns a new instance of `SubstConstants` with these values. + +This object is used in the larger project to enable the substitution of constants in a Sigma protocol script. For example, if a script contains the constant value `5` at position `2`, and we want to replace it with the value `10`, we can create a new instance of `SubstConstants` with `scriptBytes` set to the original script, `positions` set to `[2]`, and `newValues` set to `[10]`. We can then serialize this instance using the `SubstConstantsSerializer` object and send it over the network. On the receiving end, we can deserialize the byte array using the `SubstConstantsSerializer` object and use the resulting `SubstConstants` instance to substitute the constants in the original script. +## Questions: + 1. What is the purpose of the `SubstConstants` class and how is it used in the project? + - The `SubstConstants` class is used to substitute constant values in a script with new values. This code provides serialization and parsing methods for `SubstConstants` objects. +2. What is the role of the `ValueSerializer` trait and how does it relate to `SubstConstantsSerializer`? + - The `ValueSerializer` trait is a serialization interface for values in the Sigma protocol. `SubstConstantsSerializer` is an implementation of this trait specifically for `SubstConstants` objects. +3. What is the format of the serialized `SubstConstants` object and how is it parsed? + - The `SubstConstants` object is serialized by writing its `scriptBytes`, `positions`, and `newValues` fields to a `SigmaByteWriter`. It is parsed by reading these fields from a `SigmaByteReader` and constructing a new `SubstConstants` object with them. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.md new file mode 100644 index 0000000000..eb854de385 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TaggedVariableSerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing TaggedVariable objects. The TaggedVariableSerializer class is a subclass of ValueSerializer and takes a constructor function as a parameter. This constructor function is used to create a new TaggedVariable object during deserialization. + +The TaggedVariable class is a subclass of Value and represents a variable with a unique identifier and a type. The purpose of this serializer is to convert TaggedVariable objects into a byte stream that can be transmitted over a network or stored in a file. The serialized data can then be deserialized back into TaggedVariable objects. + +The serialize method takes a TaggedVariable object and a SigmaByteWriter object as parameters. It writes the variable identifier and type to the SigmaByteWriter object using the put method. The parse method takes a SigmaByteReader object as a parameter and reads the variable identifier and type from it. It then uses the constructor function to create a new TaggedVariable object with the read identifier and type. + +This serializer can be used in the larger Sigmastate project to serialize and deserialize TaggedVariable objects. For example, if the project needs to transmit TaggedVariable objects over a network, it can use this serializer to convert the objects into a byte stream that can be transmitted. On the receiving end, the byte stream can be deserialized back into TaggedVariable objects using this serializer. +## Questions: + 1. What is the purpose of the `TaggedVariableSerializer` class? +- The `TaggedVariableSerializer` class is a serializer for `TaggedVariable` objects, which are variables with an associated identifier and type. + +2. What is the `opDesc` method used for? +- The `opDesc` method is used to specify the operation description for the `TaggedVariable` object. + +3. What is the `parse` method doing? +- The `parse` method is reading a `TaggedVariable` object from a byte stream using a `SigmaByteReader`, and constructing a new `Value` object using the `cons` constructor function. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.md new file mode 100644 index 0000000000..18de9b4fd8 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TupleSerializer.scala) + +The `TupleSerializer` class is a part of the `sigmastate.serialization` package and is responsible for serializing and deserializing tuples in the Sigma protocol. A tuple is a collection of values of different types that can be used to represent complex data structures. The `TupleSerializer` takes a sequence of values and returns a serialized tuple that can be transmitted over the network or stored in a database. + +The `TupleSerializer` class extends the `ValueSerializer` class, which is a generic serializer for all values in the Sigma protocol. It overrides the `serialize` and `parse` methods to provide custom serialization and deserialization logic for tuples. The `cons` parameter is a function that takes a sequence of values and returns a tuple. This function is used to construct a tuple from the deserialized values. + +The `serialize` method takes a tuple object and a `SigmaByteWriter` object and writes the serialized tuple to the writer. It first writes the number of items in the tuple using the `putUByte` method of the writer. It then iterates over each item in the tuple and writes it to the writer using the `putValue` method of the writer. + +The `parse` method takes a `SigmaByteReader` object and reads the serialized tuple from the reader. It first reads the number of items in the tuple using the `getByte` method of the reader. It then creates a new array of values with the given size using the `safeNewArray` method. It then iterates over each item in the tuple and reads it from the reader using the `getValue` method of the reader. Finally, it constructs a tuple from the deserialized values using the `cons` function. + +Overall, the `TupleSerializer` class provides a way to serialize and deserialize tuples in the Sigma protocol. It can be used in the larger project to transmit and store complex data structures that are represented as tuples. Here is an example of how to use the `TupleSerializer` class to serialize and deserialize a tuple: + +``` +val tuple = Tuple(IntConstant(1), BooleanConstant(true), ByteArrayConstant(Array[Byte](1, 2, 3))) +val writer = new SigmaByteWriter() +TupleSerializer.serialize(tuple, writer) +val bytes = writer.toBytes + +val reader = new SigmaByteReader(bytes) +val deserialized = TupleSerializer.parse(reader).asInstanceOf[Tuple] +``` +## Questions: + 1. What is the purpose of the `TupleSerializer` class? +- The `TupleSerializer` class is a custom serializer for serializing and deserializing `Tuple` values in the `sigmastate` library. + +2. What is the `cons` parameter in the `TupleSerializer` constructor? +- The `cons` parameter is a function that takes a sequence of `Value[SType]` objects and returns a `Value[SType]` object. It is used to construct a new `Tuple` value from the deserialized items. + +3. What is the purpose of the `numItemsInfo` and `itemInfo` variables? +- The `numItemsInfo` variable is a `DataInfo` object that provides metadata about the number of items in the tuple during serialization. The `itemInfo` variable is a `DataInfo` object that provides metadata about each item in the tuple during serialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.md new file mode 100644 index 0000000000..f03aec69c6 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TwoArgumentsSerializer.scala) + +The code above is a Scala implementation of a serializer for two-argument operations in the SigmaState project. SigmaState is a platform for building secure and privacy-preserving smart contracts on top of blockchain technology. The purpose of this code is to provide a way to serialize and deserialize two-argument operations in the SigmaState language. + +The code defines a case class called TwoArgumentsSerializer, which takes three type parameters: LIV, RIV, and OV. LIV and RIV represent the types of the left and right arguments of the operation, respectively, while OV represents the type of the output value of the operation. The case class extends ValueSerializer[OV], which is a trait that defines methods for serializing and deserializing values of type OV. + +The TwoArgumentsSerializer class has a constructor that takes two arguments: an instance of a TwoArgumentOperationCompanion, which provides information about the operation being serialized, and a constructor function that takes two values of type LIV and RIV and returns a value of type OV. The class also has two fields, leftInfo and rightInfo, which are instances of the DataInfo class and provide information about the types of the left and right arguments of the operation. + +The TwoArgumentsSerializer class overrides two methods from the ValueSerializer trait: serialize and parse. The serialize method takes an object of type OV and a SigmaByteWriter and writes the serialized representation of the object to the writer. The method first casts the object to a TwoArgumentsOperation[LIV, RIV, LIV], which is a subtype of OV that represents a two-argument operation. It then writes the serialized representation of the left and right arguments of the operation to the writer using the putValue method of the SigmaByteWriter class. + +The parse method takes a SigmaByteReader and reads the serialized representation of a value of type OV from the reader. The method first reads the serialized representation of the left and right arguments of the operation using the getValue method of the SigmaByteReader class. It then calls the constructor function with the deserialized left and right arguments to create a new value of type OV. + +Overall, this code provides a way to serialize and deserialize two-argument operations in the SigmaState language, which is an important part of the larger project of building secure and privacy-preserving smart contracts on top of blockchain technology. Here is an example of how this code might be used in the larger project: + +``` +val op = Plus(LONG, LONG) // create a two-argument operation that adds two long values +val serializer = TwoArgumentsSerializer(op, (left, right) => left + right) // create a serializer for the operation +val writer = new SigmaByteWriter() // create a writer for the serialized representation +serializer.serialize(op, writer) // serialize the operation using the serializer and writer +val reader = new SigmaByteReader(writer.toBytes) // create a reader for the serialized representation +val deserializedOp = serializer.parse(reader) // deserialize the operation using the serializer and reader +assert(deserializedOp == op) // check that the deserialized operation is equal to the original operation +``` +## Questions: + 1. What is the purpose of this code and how does it fit into the overall project? +- This code is a serializer for two-argument operations in the Sigmastate language. It allows for the serialization and deserialization of these operations for use in the project. + +2. What is the significance of the type parameters LIV, RIV, and OV? +- LIV and RIV represent the left and right input types of the two-argument operation, while OV represents the output type. These type parameters are used to ensure type safety and correctness in the serialization process. + +3. How does the constructor parameter relate to the serialization process? +- The constructor parameter is used to create a new instance of the two-argument operation from the deserialized input values. It is necessary for the deserialization process to be able to reconstruct the original operation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.md new file mode 100644 index 0000000000..1e9d2bfb10 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/TypeSerializer.scala) + +The `TypeSerializer` object provides serialization and deserialization functionality for types in the `sigmastate` package. The purpose of this code is to enable efficient encoding and decoding of types in the Ergo platform. + +The `TypeSerializer` object contains two main methods: `serialize` and `deserialize`. The `serialize` method takes an `SType` object and a `SigmaByteWriter` object as input, and writes the serialized form of the type to the writer. The `deserialize` method takes a `SigmaByteReader` object as input, and reads the serialized form of a type from the reader and returns the corresponding `SType` object. + +The `TypeSerializer` object also defines a number of constants and helper methods that are used in the serialization and deserialization process. For example, the `embeddableIdToType` array maps integer codes to embeddable types, which are types that can be combined with a type constructor for optimized encoding. The `getEmbeddableType` method takes an integer code as input and returns the corresponding embeddable type. + +The `serialize` method handles different types of `SType` objects in different ways. For example, if the input type is an `SEmbeddable` type, the method writes the type code to the writer. If the input type is an `SCollectionType`, the method writes the collection type code to the writer and recursively calls `serialize` on the element type. If the input type is an `STuple`, the method writes the tuple type code to the writer and recursively calls `serialize` on each element type. + +The `deserialize` method reads the type code from the reader and uses it to determine the type of the serialized object. It then constructs and returns the corresponding `SType` object. The method handles different types of type codes in different ways, similar to the `serialize` method. + +Overall, the `TypeSerializer` object is an important component of the Ergo platform that enables efficient encoding and decoding of types. It is used extensively throughout the platform to serialize and deserialize types for storage and transmission. +## Questions: + 1. What is the purpose of the `TypeSerializer` object? +- The `TypeSerializer` object is responsible for serializing and deserializing types according to the specification in `TypeSerialization.md`. + +2. What types can be represented by a single byte in the `embeddableIdToType` array? +- The `embeddableIdToType` array contains embeddable types such as `SBoolean`, `SByte`, `SShort`, `SInt`, `SLong`, `SBigInt`, `SGroupElement`, and `SSigmaProp` that can be combined with a type constructor for optimized encoding. + +3. How are tuple types with more than 4 items serialized? +- Tuple types with more than 4 items are serialized by calling the `serializeTuple` method, which writes the tuple type code, the number of items in the tuple, and then recursively serializes each item in the tuple. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.md new file mode 100644 index 0000000000..823132624b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefSerializer.scala) + +The ValDefSerializer class is responsible for serializing and deserializing ValDef objects, which represent variable definitions in the Sigma programming language. This class extends the ValueSerializer class and takes a ValueCompanion object as a parameter. + +The serialize method takes a ValDef object and a SigmaByteWriter object as parameters. It first writes the id of the ValDef object to the writer. Then, if the opcode is FunDefCode, it writes the type arguments of the ValDef object to the writer. The type arguments are written as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method writes the right-hand side of the ValDef object to the writer. + +The parse method takes a SigmaByteReader object as a parameter and returns a Value object of type SType. It first reads the id of the ValDef object from the reader. Then, if the opcode is FunDefCode, it reads the type arguments of the ValDef object from the reader. The type arguments are read as a byte indicating the number of arguments, followed by the arguments themselves. Finally, the method reads the right-hand side of the ValDef object from the reader and creates a new ValDef object with the id, type arguments, and right-hand side. + +Overall, the ValDefSerializer class is an important component of the serialization process for ValDef objects in the Sigma programming language. It allows for the efficient transfer of ValDef objects between different parts of the larger project, such as between nodes in a distributed system. Here is an example of how the ValDefSerializer class might be used in the larger project: + +``` +val myValDef = ValDef(1, Seq(STypeInt), IntConstant(42)) +val serializer = ValDefSerializer(FunDef) +val writer = new SigmaByteWriter() +serializer.serialize(myValDef, writer) +val bytes = writer.toBytes + +// ... transfer bytes to another part of the project ... + +val reader = new SigmaByteReader(bytes) +val deserialized = serializer.parse(reader) +assert(deserialized == myValDef) +``` +## Questions: + 1. What is the purpose of this code and what does it do? + + This code defines a serializer for ValDef objects in the Sigmastate library, which are used to represent values in the Sigma protocol. The serializer is responsible for converting ValDef objects to and from bytes for storage and transmission. + +2. What other classes or functions does this code interact with? + + This code imports several classes and functions from the Sigmastate library, including ValueCompanion, ValueSerializer, SigmaByteReader, SigmaByteWriter, ValueSerializer, and safeNewArray. It also references several OpCodes defined in the same package. + +3. What is the expected format of the input and output data for this code? + + This code expects to receive ValDef objects as input, which contain an ID, type arguments, and a right-hand side value. It outputs bytes that represent the serialized ValDef object, and can also parse bytes back into a ValDef object. The format of the input and output data is specified by the SigmaByteReader and SigmaByteWriter classes. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.md new file mode 100644 index 0000000000..583158ca11 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValDefTypeStore.scala) + +The ValDefTypeStore class is a data structure used to store and retrieve SType objects. SType is a type hierarchy used in the Sigma protocol, which is a cryptographic protocol for secure transactions. + +The ValDefTypeStore class uses a mutable Map to store SType objects, with the keys being integers and the values being SType objects. The apply method is used to retrieve an SType object from the store by its corresponding integer key. The update method is used to add or update an SType object in the store, with the integer key being provided as the first argument and the SType object being provided as the second argument. + +This class may be used in the larger project to store and retrieve SType objects for use in the Sigma protocol. For example, if a new SType object is created during the execution of the protocol, it can be added to the ValDefTypeStore using the update method. Later on, if the SType object is needed again, it can be retrieved from the ValDefTypeStore using the apply method. + +Here is an example of how the ValDefTypeStore class might be used: + +``` +val store = new ValDefTypeStore() +val tpe = SType.SInt +store.update(1, tpe) +val retrievedTpe = store(1) +assert(retrievedTpe == tpe) +``` + +In this example, a new ValDefTypeStore object is created and an SInt object is added to the store with an integer key of 1 using the update method. The SInt object is then retrieved from the store using the apply method and stored in the retrievedTpe variable. Finally, an assertion is made to ensure that the retrieved SInt object is equal to the original SInt object. +## Questions: + 1. What is the purpose of the ValDefTypeStore class? + - The ValDefTypeStore class is used to store and retrieve SType objects based on their associated integer IDs. + +2. How are SType objects added to the store? + - SType objects are added to the store by calling the update method with an integer ID and the SType object to be stored. + +3. Is the store thread-safe? + - It is not clear from the code whether the store is thread-safe or not. Additional information or analysis would be needed to determine this. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.md new file mode 100644 index 0000000000..a76605500c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValUseSerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing ValUse objects. ValUse is a class that represents the use of a previously defined value in a Sigma protocol script. The purpose of this code is to provide a way to convert ValUse objects to and from bytes so that they can be transmitted over a network or stored in a database. + +The ValUseSerializer class is a subclass of ValueSerializer, which is a generic serializer for all types of Sigma protocol values. The constructor of ValUseSerializer takes a function that creates a new instance of a Value object given an ID and a type. This function is used to deserialize ValUse objects. + +The serialize method of ValUseSerializer takes a ValUse object and a SigmaByteWriter object and writes the ID of the referenced value to the writer. The parse method of ValUseSerializer takes a SigmaByteReader object and reads the ID of the referenced value from the reader. It then looks up the type of the referenced value in a type store and uses the constructor function to create a new ValUse object. + +This code can be used in the larger Sigmastate project to serialize and deserialize ValUse objects in various contexts. For example, it can be used to transmit ValUse objects between nodes in a distributed Sigma protocol network or to store them in a database for later use. Here is an example of how this code can be used to serialize and deserialize a ValUse object: + +``` +val valUse = ValUse(42) +val serializer = ValUseSerializer((id, tpe) => ValUse(id)) +val writer = new SigmaByteWriter() +serializer.serialize(valUse, writer) +val bytes = writer.toBytes + +val reader = new SigmaByteReader(bytes) +val deserializedValUse = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for a type called `ValUse[SType]` which is used to serialize and deserialize instances of this type. + +2. What is the significance of the `cons` parameter in the `ValUseSerializer` case class? + - The `cons` parameter is a function that takes an integer and an `SType` and returns a `Value[SType]`. It is used to construct instances of `ValUse[SType]` during deserialization. + +3. What is the role of the `opDesc` method in the `ValUseSerializer` class? + - The `opDesc` method returns the `ValUse` object, which is used to identify this serializer as the one to use for `ValUse` objects. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.md new file mode 100644 index 0000000000..ecbffc6fb2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/ValueSerializer.scala) + +The `ValueSerializer` is a part of the SigmaState project and is responsible for serializing and deserializing Sigma protocol values. It is an essential component for handling data serialization and deserialization in the Ergo platform, which is a blockchain-based platform that supports smart contracts. + +The `ValueSerializer` class is an abstract class that extends the `SigmaSerializer` trait. It provides methods for serializing and deserializing values of type `Value[SType]`. The `ValueSerializer` object is a companion object that implements the `SigmaSerializerCompanion` trait and provides a collection of serializers for various types of values. + +The `serializers` field is a `SparseArrayContainer` that holds a sequence of `ValueSerializer` instances for different types of values. These serializers are responsible for handling specific types of values, such as constants, tuples, relations, and various operations (e.g., arithmetic, bitwise, logical, etc.). + +The `ValueSerializer` object also provides utility methods for handling optional values, cases, and loops during serialization and deserialization. These methods help in managing the complexity of the serialization process and make it easier to handle different types of values. + +The `serialize` and `deserialize` methods are the main entry points for serialization and deserialization. The `serialize` method takes a `Value[SType]` and a `SigmaByteWriter` as input and writes the serialized value to the writer. The `deserialize` method takes a `SigmaByteReader` as input and reads the serialized value from the reader, returning a `Value[SType]`. + +Here's an example of how to use the `ValueSerializer`: + +```scala +import sigmastate.Values._ +import sigmastate.serialization.ValueSerializer + +val value: Value[SType] = ... // some value +val serialized: Array[Byte] = ValueSerializer.serialize(value) +val deserialized: Value[SType] = ValueSerializer.deserialize(serialized) +``` + +In summary, the `ValueSerializer` is a crucial component in the SigmaState project for handling the serialization and deserialization of Sigma protocol values. It provides a collection of serializers for various types of values and utility methods for managing the complexity of the serialization process. +## Questions: + 1. **Question**: What is the purpose of the `ValueSerializer` class and its subclasses? + **Answer**: The `ValueSerializer` class is an abstract class that provides serialization and deserialization functionality for `Value[SType]` objects. Its subclasses are responsible for implementing the specific serialization and deserialization logic for different types of `Value[SType]` objects. + +2. **Question**: How does the `ValueSerializer` handle the serialization of constants and placeholders? + **Answer**: The `ValueSerializer` handles the serialization of constants and placeholders by using the `constantSerializer` and `constantPlaceholderSerializer` instances. When serializing a value, it checks if the value is a constant or a placeholder and uses the appropriate serializer to serialize it. + +3. **Question**: How does the `ValueSerializer` manage the complexity of the serialized objects? + **Answer**: The `ValueSerializer` manages the complexity of the serialized objects by using the `getComplexity` method, which returns the complexity value for the corresponding operation code. The `complexity` value is then added to the `SigmaByteReader` or `SigmaByteWriter` to keep track of the total complexity during serialization and deserialization. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.md new file mode 100644 index 0000000000..31d4f7850c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AppendSerializer.scala) + +The code above is a Scala implementation of a serializer for the Append operation in the SigmaState project. The Append operation is used to concatenate two collections of the same type into a single collection. This serializer is responsible for converting an Append object into a byte stream that can be transmitted over a network or stored in a file. + +The code imports several classes and objects from the SigmaState project, including AppendInfo, Value, SCollection, SType, and ValueSerializer. It also defines a case class called AppendSerializer that extends the ValueSerializer class and takes a constructor argument of type (Value[SCollection[SType]], Value[SCollection[SType]]) => Value[SCollection[SType]]. This constructor argument is a function that takes two collections of the same type and returns a new collection that is the concatenation of the two input collections. + +The AppendSerializer class overrides two methods from the ValueSerializer class: opDesc and serialize. The opDesc method returns the Append object, which is the operation being serialized. The serialize method takes an Append object and a SigmaByteWriter object and writes the input and col2 collections to the byte stream using the putValue method of the SigmaByteWriter object. + +The AppendSerializer class also defines a parse method that takes a SigmaByteReader object and returns a collection of the same type as the input and col2 collections. This method reads the input and col2 collections from the byte stream using the getValue method of the SigmaByteReader object and passes them to the constructor function defined in the AppendSerializer constructor. + +Overall, this serializer is an important component of the SigmaState project, as it allows Append objects to be transmitted and stored in a serialized format. It can be used in conjunction with other serializers and deserializers to enable the SigmaState system to communicate with other systems and store data in a variety of formats. An example of using this serializer might be in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection. +## Questions: + 1. What is the purpose of this code and how does it fit into the overall project? +- This code is a serializer for the `Append` operation in the `sigmastate.utxo` package. It allows for serialization and deserialization of `Append` objects to and from bytes. + +2. What is the `cons` parameter in the `AppendSerializer` case class and how is it used? +- The `cons` parameter is a function that takes two `Value[SCollection[SType]]` objects and returns a new `Value[SCollection[SType]]` object. It is used in the `parse` method to construct a new `Value[SCollection[SType]]` object from the parsed input and col2 values. + +3. What is the purpose of the `opDesc` method in the `AppendSerializer` class? +- The `opDesc` method returns the `Append` object, which is the operation that this serializer is designed to handle. It is used to ensure that the correct serializer is used for a given operation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.md new file mode 100644 index 0000000000..ed371d177a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/AtLeastSerializer.scala) + +The code above is a Scala implementation of a serializer for the AtLeast operation in the SigmaState project. The AtLeast operation is used to create a SigmaPropValue that represents a threshold signature scheme. It requires a minimum number of signatures from a collection of SigmaPropValues to be valid. + +The AtLeastSerializer class takes a constructor that accepts a function that creates a SigmaPropValue from a bound value and a collection of SigmaPropValues. This function is used to deserialize the AtLeast operation from bytes. The class extends the ValueSerializer trait, which provides methods for serializing and deserializing values. + +The serialize method takes an AtLeast object and a SigmaByteWriter and writes the bound and input values to the writer. The parse method takes a SigmaByteReader and reads the bound and input values from it. It then calls the constructor function to create a SigmaPropValue from the deserialized values. + +This serializer is used in the larger SigmaState project to serialize and deserialize AtLeast operations. It allows AtLeast operations to be transmitted over the network or stored in a database. Here is an example of how the serializer can be used: + +``` +val atLeast = AtLeast(2, Seq(sigmaProp1, sigmaProp2, sigmaProp3)) +val serializer = AtLeastSerializer((bound, input) => AtLeast(bound, input)) +val bytes = serializer.toBytes(atLeast) +val deserialized = serializer.parseBytes(bytes) +``` + +In this example, an AtLeast object is created with a bound of 2 and a collection of three SigmaPropValues. The AtLeastSerializer is then used to serialize the object to bytes and deserialize it back to an AtLeast object. The constructor function passed to the serializer simply creates a new AtLeast object from the deserialized values. +## Questions: + 1. What is the purpose of the AtLeastSerializer class? + - The AtLeastSerializer class is a ValueSerializer for the AtLeast operation in the Sigma protocol, which serializes and deserializes AtLeast objects. + +2. What is the input format for the serialize method? + - The serialize method takes an AtLeast object and a SigmaByteWriter as input. + +3. What is the output format for the parse method? + - The parse method returns a SigmaPropValue object, which is constructed using the bound and input values obtained from the SigmaByteReader. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.md new file mode 100644 index 0000000000..05b5b6eca5 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/BooleanTransformerSerializer.scala) + +The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for the `BooleanTransformer` class, which is used to transform a collection of values of a certain type `T` into a boolean value based on a given condition. + +The `BooleanTransformerSerializer` class takes in a `BooleanTransformerCompanion` object and a function `f` that takes in a collection of values of type `T` and a function that returns a boolean value. It then extends the `ValueSerializer` class and provides implementations for the `serialize` and `parse` methods. + +The `serialize` method takes in an instance of the `BooleanTransformer` class and a `SigmaByteWriter` object and writes the input and condition values of the transformer to the writer using the `putValue` method. + +The `parse` method takes in a `SigmaByteReader` object and reads the input and condition values of the transformer from the reader using the `getValue` method. It then applies the `f` function to the input and condition values to obtain a boolean value. + +This serializer can be used in the larger Sigmastate project to serialize and deserialize instances of the `BooleanTransformer` class, which can be used in various parts of the project to transform collections of values into boolean values based on a given condition. + +Example usage of this serializer could be as follows: + +``` +val transformer = BooleanTransformer(input, condition) +val serializer = BooleanTransformerSerializer(BooleanTransformer, (input, condition) => transformer.f(input, condition)) +val writer = new SigmaByteWriter() +serializer.serialize(transformer, writer) +val bytes = writer.toBytes +val reader = SigmaByteReader(bytes) +val parsedTransformer = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of the `BooleanTransformer` class and how is it used in the project? + - The `BooleanTransformer` class is used in the project to represent a boolean expression that can be applied to a collection of values. It is serialized and deserialized using the `BooleanTransformerSerializer` class. +2. What is the significance of the `opDesc` parameter in the `BooleanTransformerSerializer` constructor? + - The `opDesc` parameter is a companion object for the `BooleanTransformer` class that provides information about the arguments required to construct a `BooleanTransformer` instance. +3. How does the `parse` method in the `BooleanTransformerSerializer` class deserialize a `BooleanTransformer` instance? + - The `parse` method reads the serialized input and condition values from a `SigmaByteReader` and applies the `f` function to create a new `BooleanTransformer` instance. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.md new file mode 100644 index 0000000000..1cf42f39e4 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ByIndexSerializer.scala) + +The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide serialization and deserialization functionality for the `ByIndex` operation in the Sigmastate language. + +The `ByIndex` operation is used to retrieve an element from a collection by its index. The `ByIndexSerializer` class is responsible for serializing and deserializing instances of the `ByIndex` operation. It takes a constructor function as a parameter that is used to create a new instance of the `ByIndex` operation during deserialization. + +The `ByIndexSerializer` class extends the `ValueSerializer` class, which is a base class for all value serializers in Sigmastate. It provides two methods for serialization and deserialization: `serialize` and `parse`. The `serialize` method takes an instance of the `ByIndex` operation and a `SigmaByteWriter` object and writes the serialized data to the writer. The `parse` method takes a `SigmaByteReader` object and returns a new instance of the `ByIndex` operation. + +The `ByIndexSerializer` class also defines three `DataInfo` objects for the input, index, and default arguments of the `ByIndex` operation. These objects are used to provide additional information about the serialized data, such as its type and size. + +Here is an example of how the `ByIndexSerializer` class can be used to serialize and deserialize a `ByIndex` operation: + +``` +val input = SCollection(SInt)(Seq(1, 2, 3)) +val index = SInt(1) +val default = None +val byIndex = ByIndex(input, index, default) + +val serializer = ByIndexSerializer(ByIndex.apply) +val writer = new SigmaByteWriter() +serializer.serialize(byIndex, writer) + +val reader = new SigmaByteReader(writer.toBytes) +val parsedByIndex = serializer.parse(reader) +``` + +In this example, we create a new instance of the `ByIndex` operation with an input collection of integers, an index of 1, and no default value. We then create a new instance of the `ByIndexSerializer` class and use it to serialize the `ByIndex` operation to a `SigmaByteWriter` object. Finally, we use the same serializer to deserialize the serialized data from a `SigmaByteReader` object and obtain a new instance of the `ByIndex` operation. +## Questions: + 1. What is the purpose of this code and what problem does it solve? +- This code defines a serializer for the ByIndex operation in the Sigma state language, which allows for retrieving an element from a collection by its index. The serializer enables the operation to be serialized and deserialized for use in the Sigma protocol. + +2. What are the input and output types for the ByIndex operation? +- The input type is a collection of some Sigma type (SCollection[SType]), and the output type is a single element of the same Sigma type (SType). + +3. What is the significance of the "default" argument in the ByIndexSerializer case class? +- The "default" argument is an optional default value to return if the requested index is out of bounds for the input collection. If no default value is provided, an exception will be thrown instead. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.md new file mode 100644 index 0000000000..6d616a00c7 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeContextSerializer.scala) + +The code above is a Scala implementation of a serializer for the `DeserializeContext` class in the `sigmastate.utxo` package. This class is used to deserialize a script context from a byte array. The `DeserializeContextSerializer` class takes a constructor function that creates a new instance of the `Value` class with the given type and ID. + +The purpose of this serializer is to convert a `DeserializeContext` object into a byte array that can be transmitted over a network or stored in a database. The `serialize` method takes a `DeserializeContext` object and a `SigmaByteWriter` object, and writes the type and ID of the deserialized script to the writer. The `parse` method reads the type and ID from a `SigmaByteReader` object and returns a new instance of the `Value` class with the given type and ID. + +This serializer is used in the larger project to enable the serialization and deserialization of script contexts in the UTXO (Unspent Transaction Output) model. The UTXO model is a way of representing the state of a blockchain by keeping track of all unspent transaction outputs. The script context contains information about the current state of the blockchain, such as the current block height and the balances of all addresses. By serializing and deserializing the script context, it can be transmitted between nodes in the network or stored in a database. + +Here is an example of how this serializer might be used in the larger project: + +```scala +val context = new DeserializeContext[SType](byteArray, expectedType) +val serializer = new DeserializeContextSerializer((id: Byte, tpe: SType) => new Value[SType](id, tpe)) +val serializedContext = serializer.serialize(context, new SigmaByteWriter()) +``` + +In this example, a new `DeserializeContext` object is created with a byte array and an expected type. The `DeserializeContextSerializer` is then used to serialize the context into a byte array. The resulting `serializedContext` can be transmitted over a network or stored in a database. +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for deserializing a context with a specified expected type of a script. +2. What is the input and output of the `serialize` method? + - The input is an object of type `DeserializeContext[SType]` and a `SigmaByteWriter`. The output is `Unit`. +3. What is the purpose of the `cons` parameter in the `DeserializeContextSerializer` case class? + - The `cons` parameter is a function that takes a byte and an `SType` and returns a `Value[SType]`. It is used in the `parse` method to construct the deserialized context. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.md new file mode 100644 index 0000000000..e8c43e8f01 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/DeserializeRegisterSerializer.scala) + +The code above is a Scala implementation of a serializer for the `DeserializeRegister` operation in the `sigmastate.utxo` package. This operation is used to deserialize a value from a register in an `ErgoBox`, which is a data structure used in the Ergo blockchain platform. The purpose of this serializer is to convert instances of `DeserializeRegister` into bytes for storage or transmission, and to parse those bytes back into instances of `DeserializeRegister`. + +The `DeserializeRegisterSerializer` class takes a constructor argument `cons` which is a function that creates a new instance of `Value[SType]` given a `RegisterId`, an `SType`, and an optional default value. This function is used in the `parse` method to create a new `Value[SType]` from the deserialized data. + +The `serialize` method takes an instance of `DeserializeRegister[SType]` and a `SigmaByteWriter` and writes the serialized bytes to the writer. The serialized bytes consist of the register number, the expected type of the deserialized script, and an optional default value. The `parse` method takes a `SigmaByteReader` and reads the serialized bytes to create a new instance of `Value[SType]`. It does this by reading the register number, the type, and the default value (if present) from the reader, and then calling the `cons` function to create a new `Value[SType]`. + +Overall, this serializer is an important component of the larger project because it allows instances of `DeserializeRegister` to be stored and transmitted as bytes. This is necessary for the operation to be used in the Ergo blockchain platform, where data must be serialized and deserialized for storage and transmission. An example of how this serializer might be used in the larger project is shown below: + +``` +val regId = RegisterId.R4 +val tpe = SType.SLong +val defaultValue = Some(LongConstant(0)) +val deserializeReg = DeserializeRegister(regId, tpe, defaultValue) +val serializer = DeserializeRegisterSerializer((regId, tpe, defaultValue) => LongConstant(0)) +val bytes = serializer.toBytes(deserializeReg) +val deserializedReg = serializer.parseBytes(bytes) +``` +## Questions: + 1. What is the purpose of this code and how does it fit into the overall project? +- This code is a serializer for a specific type of operation called `DeserializeRegister` in the `sigmastate.utxo` package. It is used to serialize and deserialize data related to this operation. + +2. What are the inputs and outputs of the `parse` method? +- The `parse` method takes in a `SigmaByteReader` object and returns a `Value[SType]` object. It reads in data from the byte reader and constructs a `Value` object using the `cons` function provided in the constructor. + +3. What is the significance of the `wasDeserialize` flag being marked as true? +- The `wasDeserialize` flag is used to indicate whether or not the `parse` method has been called during deserialization. This is important because it prevents infinite recursion when deserializing nested objects. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.md new file mode 100644 index 0000000000..c033c0d3f3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ExtractRegisterAsSerializer.scala) + +The code above defines a serializer for the ExtractRegisterAs operation in the SigmaState language. This operation is used to extract a value from a register in an ErgoBox, which is a data structure used in the Ergo blockchain. The purpose of this serializer is to convert an ExtractRegisterAs object into a byte array that can be transmitted over the network or stored on disk. + +The ExtractRegisterAsSerializer class takes a constructor argument that is a function which creates a new ExtractRegisterAs object from a box, register ID, and optional type. This function is used in the parse method to create a new ExtractRegisterAs object from the serialized data. + +The serialize method takes an ExtractRegisterAs object and a SigmaByteWriter object as input. It first writes the input value to the byte array using the thisArg DataInfo object. It then writes the register ID to the byte array using the regIdArg DataInfo object. Finally, it writes the expected type of the value in the register to the byte array using the typeInfo ArgInfo object. + +The parse method takes a SigmaByteReader object as input and reads the serialized data from it. It first reads the input value from the byte array using the getValue method. It then reads the register ID from the byte array using the getByte method. It uses the ErgoBox.findRegisterByIndex method to find the register in the box with the given ID. Finally, it reads the expected type of the value from the byte array using the getType method and uses the constructor function to create a new ExtractRegisterAs object. + +Overall, this code is an important part of the serialization process for the ExtractRegisterAs operation in the SigmaState language. It allows for the efficient transmission and storage of this operation in the Ergo blockchain. +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for the ExtractRegisterAs operation in the Sigma state language, which extracts a value from a register in an ErgoBox. + +2. What other classes or packages does this code depend on? + - This code depends on classes from the org.ergoplatform and sigmastate packages, as well as the sigmastate.utxo and sigmastate.utils packages. + +3. What is the expected format of the input and output for this serializer? + - The input is an ExtractRegisterAs object with a specified input, register ID, and expected type. The output is a serialized version of this object that can be parsed back into a Value[SType]. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.md new file mode 100644 index 0000000000..dd4cfcbefa --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FilterSerializer.scala) + +The code above is a part of the Sigmastate project and is responsible for serializing and deserializing a Filter object. The Filter object is used in the context of the UTXO (Unspent Transaction Output) model, which is a way of representing the state of a blockchain. The purpose of the Filter object is to filter a collection of UTXOs based on a given condition. + +The FilterSerializer class is a custom serializer for the Filter object. It takes a constructor function as a parameter, which is used to create a new Filter object during deserialization. The serialize method takes a Filter object and a SigmaByteWriter object as input and writes the input and condition values of the Filter object to the writer. The parse method takes a SigmaByteReader object as input and reads the input and condition values from the reader. It then uses the constructor function to create a new Filter object with the parsed values. + +Here is an example of how the FilterSerializer class can be used in the larger project: + +```scala +import sigmastate.utxo.Filter + +val filter = Filter(input, condition) +val serializer = FilterSerializer((input, condition) => Filter(input, condition)) + +val writer = new SigmaByteWriter() +serializer.serialize(filter, writer) +val bytes = writer.toBytes + +val reader = new SigmaByteReader(bytes) +val parsedFilter = serializer.parse(reader) +``` + +In the example above, a new Filter object is created with the input and condition values. The FilterSerializer is then used to serialize the Filter object to a byte array and deserialize it back to a new Filter object. This can be useful when transmitting Filter objects over a network or storing them in a database. +## Questions: + 1. What is the purpose of this code and what does it do? + This code defines a serializer for the `Filter` class in the `sigmastate.utxo` package, which takes in a collection of values and a function and returns a filtered collection of values based on the function. + +2. What other classes or packages does this code depend on? + This code depends on classes and packages from `sigmastate.Values`, `sigmastate.lang.Terms`, `sigmastate.serialization`, `sigmastate.utils`, `sigmastate.utxo`, and `sigmastate`. + +3. What is the expected input and output format for the `serialize` and `parse` methods? + The `serialize` method takes in a `Filter` object and a `SigmaByteWriter` object and outputs a serialized version of the `Filter` object. The `parse` method takes in a `SigmaByteReader` object and outputs a `Value[SCollection[SType]]` object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.md new file mode 100644 index 0000000000..da272a6b90 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.md @@ -0,0 +1,29 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/FoldSerializer.scala) + +The code above is a Scala implementation of a serializer for the Fold operation in the SigmaState project. SigmaState is a smart contract language that allows for the creation of secure and efficient contracts on blockchain platforms. The Fold operation is used to reduce a collection of elements to a single value using a binary operation. + +The FoldSerializer class takes in a constructor that accepts three arguments: a collection of SType values, a single SType value, and a function that takes two SType values and returns a single SType value. These arguments are used to create a Fold object that represents the Fold operation. + +The serializer implements the ValueSerializer trait and overrides its methods to serialize and parse the Fold object. The serialize method takes in a Fold object and a SigmaByteWriter object and writes the input, zero, and foldOp values of the Fold object to the writer. The parse method takes in a SigmaByteReader object and reads the input, zero, and foldOp values from the reader to create a new Fold object. + +This serializer can be used in the larger SigmaState project to serialize and deserialize Fold objects for use in smart contracts. For example, a smart contract that needs to reduce a collection of values to a single value could use the Fold operation and this serializer to store and retrieve the Fold object on the blockchain. + +Here is an example of how the FoldSerializer could be used in a smart contract: + +``` +val collection: Value[SCollection[SInt.type]] = ... // collection of integers +val zero: Value[SInt.type] = ... // initial value for reduction +val addFunc: Value[SFunc] = ... // function that adds two integers +val foldOp: Fold[SInt.type, SInt.type] = Fold(collection, zero, addFunc) // create Fold object +val serializer: FoldSerializer = FoldSerializer(foldOp) // create serializer for Fold object +val bytes: Array[Byte] = serializer.toBytes // serialize Fold object to bytes +val deserializer: FoldSerializer = FoldSerializer() // create deserializer for Fold object +val newFoldOp: Fold[SInt.type, SInt.type] = deserializer.fromBytes(bytes) // deserialize Fold object from bytes +``` +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for the Fold operation in the Sigma programming language. +2. What input does the `serialize` method take and what output does it produce? + - The `serialize` method takes a `Fold[SType, SType]` object and a `SigmaByteWriter` object as input, and produces no output (returns `Unit`). It serializes the `Fold` object by writing its `input`, `zero`, and `foldOp` fields to the `SigmaByteWriter`. +3. What is the purpose of the `cons` parameter in the `FoldSerializer` case class? + - The `cons` parameter is a function that takes three `Value` objects (of types `SCollection[SType]`, `SType`, and `SFunc`) as input and produces a `Value[SType]` object as output. It is used in the `parse` method to construct a `Fold` object from the serialized data. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.md new file mode 100644 index 0000000000..c3ffe73842 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/LogicalTransformerSerializer.scala) + +The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for logical transformers in the Sigmastate language. + +A logical transformer is a type of transformer that takes a collection of boolean values as input and returns a single boolean value as output. The `LogicalTransformerSerializer` class is responsible for serializing and deserializing these transformers. + +The `LogicalTransformerSerializer` class takes two type parameters, `I` and `O`, which represent the input and output types of the transformer, respectively. The class also takes two arguments, `opDesc` and `cons`, which are used to construct the transformer. + +The `opDesc` argument is an instance of `LogicalTransformerCompanion`, which provides information about the transformer, such as its name and argument types. The `cons` argument is a function that takes a collection of boolean values as input and returns a single boolean value as output. + +The `LogicalTransformerSerializer` class extends the `ValueSerializer` trait, which provides methods for serializing and deserializing values. The `serialize` method takes a `Transformer[I, O]` object and a `SigmaByteWriter` object as input, and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object as input, reads the serialized form of the transformer from the reader, and returns a `Value[SBoolean.type]` object. + +Overall, this code provides a way to serialize and deserialize logical transformers in the Sigmastate language. This functionality can be used in the larger Sigmastate project to enable communication between different parts of the system that use logical transformers. + +Example usage: + +``` +val transformer = MyLogicalTransformer(arg1, arg2) +val serializer = LogicalTransformerSerializer(MyLogicalTransformer, transformer.apply) +val writer = new SigmaByteWriter() +serializer.serialize(transformer, writer) +val bytes = writer.toBytes +val reader = new SigmaByteReader(bytes) +val parsedTransformer = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code? + This code defines a serializer for a logical transformer that takes a collection of boolean values as input and outputs a single boolean value. + +2. What is the role of the `LogicalTransformerCompanion` object? + The `LogicalTransformerCompanion` object provides information about the logical transformer, including the types of its arguments and the function that it applies. + +3. What is the significance of the `DataInfo` object? + The `DataInfo` object provides information about the type and format of the data that is being serialized or deserialized, which is used to ensure that the data is correctly encoded and decoded. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.md new file mode 100644 index 0000000000..a921a3c63e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/MapCollectionSerializer.scala) + +The code above is a Scala class called MapCollectionSerializer, which is responsible for serializing and deserializing instances of the MapCollection class. The MapCollection class is part of the SigmaState library, which is a collection of data structures and algorithms for working with cryptographic protocols. + +The MapCollectionSerializer class takes a constructor argument called cons, which is a function that takes two arguments of type Value[SCollection[SType]] and Value[SFunc], and returns a Value[SType]. This function is used to create new instances of the MapCollection class during deserialization. + +The class extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of MapCollection and a SigmaByteWriter object, and writes the input and mapper values of the MapCollection to the writer. The parse method takes a SigmaByteReader object, reads the input and mapper values from the reader, and uses the cons function to create a new instance of MapCollection. + +The MapCollection class represents a collection of elements that have been transformed by a mapping function. It is used in the SigmaState library to implement various cryptographic protocols, such as zero-knowledge proofs and secure multi-party computation. The MapCollectionSerializer class is used to serialize and deserialize instances of MapCollection, which allows them to be transmitted over a network or stored in a database. + +Here is an example of how the MapCollection class might be used in a larger project: + +``` +val input = SCollection[Int](Seq(1, 2, 3)) +val mapper = SFunc[Int, Int](x => x * 2) +val mapCollection = MapCollection(input, mapper) +val serializer = MapCollectionSerializer((i, f) => MapCollection(i, f)) +val bytes = serializer.toBytes(mapCollection) +val deserialized = serializer.parseBytes(bytes) +``` + +In this example, we create a new instance of MapCollection with an input collection of integers and a mapping function that doubles each element. We then create a new instance of MapCollectionSerializer and use it to serialize the MapCollection to a byte array. Finally, we use the serializer to deserialize the byte array back into a MapCollection object. +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for the MapCollection class in the Sigmastate library, which is used to transform a collection of elements using a provided function. + +2. What other classes or operations does this code depend on? + - This code depends on several classes and operations from the Sigmastate library, including Value, SValue, SCollection, SType, SFunc, MapCollection, and MapCollectionInfo. + +3. How does the serializer work and what data does it serialize? + - The serializer works by serializing the input collection and mapper function of a MapCollection object using a SigmaByteWriter. It then deserializes these values using a SigmaByteReader to reconstruct the original MapCollection object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.md new file mode 100644 index 0000000000..ea90f6ce6c --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/NumericCastSerializer.scala) + +The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a specific type of transformer called `NumericCastTransformer`. This transformer is used to cast a value of one numeric type to another numeric type. + +The `NumericCastSerializer` class takes in a `NumericCastCompanion` object and a constructor function that takes in a value of type `Value[SNumericType]` and an `SNumericType` and returns a value of type `Value[SNumericType]`. The `NumericCastCompanion` object provides information about the transformer, such as the argument information and the resulting type of the cast operation. + +The `NumericCastSerializer` class extends the `ValueSerializer` class, which is used to serialize and deserialize values in Sigmastate. It overrides the `serialize` and `parse` methods to handle the serialization and deserialization of `NumericCastTransformer` objects. + +The `serialize` method takes in a `NumericCastTransformer` object and a `SigmaByteWriter` object. It first writes the input value of the transformer to the writer using the `putValue` method and the `inputInfo` object from the `NumericCastCompanion`. It then writes the resulting type of the cast operation to the writer using the `putType` method and the `typeInfo` object. + +The `parse` method takes in a `SigmaByteReader` object and returns a value of type `Value[SNumericType]`. It first reads the input value from the reader using the `getValue` method and casts it to a `NumValue`. It then reads the resulting type of the cast operation from the reader using the `getType` method and casts it to a `NumType`. Finally, it calls the constructor function with the input value and resulting type to create a new value of type `Value[SNumericType]`. + +Overall, this code provides a way to serialize and deserialize `NumericCastTransformer` objects in Sigmastate. This can be useful in the larger project for storing and transmitting these objects between different parts of the system. Here is an example of how this serializer might be used: + +``` +val transformer = NumericCastTransformer(inputValue, resultingType) +val serializer = NumericCastSerializer(NumericCastCompanion, transformer) +val writer = new SigmaByteWriter() +serializer.serialize(transformer, writer) +val bytes = writer.toBytes() +// send bytes over network or store in database +``` +## Questions: + 1. What is the purpose of this code? +- This code defines a serializer for a numeric cast transformer in the Sigma state language. + +2. What is the input and output of the transformer being serialized? +- The input and output of the transformer are both values of type SNumericType. + +3. What is the significance of the NumericCastCompanion and cons parameters? +- The NumericCastCompanion parameter provides information about the numeric cast operation being serialized, while the cons parameter is a function that constructs the resulting value of the cast operation. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.md new file mode 100644 index 0000000000..88db1198de --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/ProveDHTupleSerializer.scala) + +The code above contains two case classes, `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer`, which are used to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple`, respectively. + +`ProveDHTuple` is a class that represents a Diffie-Hellman tuple, which consists of four elliptic curve points: `g`, `h`, `u`, and `v`. `CreateProveDHTuple` is an operation that creates a sigma protocol proof of knowledge of a Diffie-Hellman tuple. + +The `ProveDHTupleSerializer` case class takes a constructor function that creates a `ProveDHTuple` instance from four elliptic curve points. It extends the `SigmaSerializer` trait, which defines methods for serializing and deserializing objects. The `serialize` method takes a `ProveDHTuple` instance and a `SigmaByteWriter` and writes the four elliptic curve points to the writer using the `GroupElementSerializer.serialize` method. The `parse` method reads the four elliptic curve points from a `SigmaByteReader` using the `GroupElementSerializer.parse` method and passes them to the constructor function to create a `ProveDHTuple` instance. + +The `CreateProveDHTupleSerializer` case class takes a constructor function that creates a `SigmaPropValue` instance from four `Value[SGroupElement.type]` instances. It extends the `ValueSerializer` trait, which defines methods for serializing and deserializing values. The `serialize` method takes a `CreateProveDHTuple` instance and a `SigmaByteWriter` and writes the four `Value[SGroupElement.type]` instances to the writer using the `putValue` method. The `parse` method reads the four `Value[SGroupElement.type]` instances from a `SigmaByteReader` using the `getValue` method and passes them to the constructor function to create a `SigmaPropValue` instance. + +These case classes are used in the larger project to serialize and deserialize instances of `ProveDHTuple` and `CreateProveDHTuple` for storage and transmission. For example, if a `ProveDHTuple` instance needs to be stored in a database, it can be serialized using the `ProveDHTupleSerializer.serialize` method and written to the database. Later, it can be read from the database and deserialized using the `ProveDHTupleSerializer.parse` method. Similarly, if a `CreateProveDHTuple` instance needs to be transmitted over a network, it can be serialized using the `CreateProveDHTupleSerializer.serialize` method and sent over the network. On the receiving end, it can be deserialized using the `CreateProveDHTupleSerializer.parse` method. +## Questions: + 1. What is the purpose of the `ProveDHTupleSerializer` class? +- The `ProveDHTupleSerializer` class is used to serialize and deserialize instances of the `ProveDHTuple` class. + +2. What is the difference between the `ProveDHTupleSerializer` and the `CreateProveDHTupleSerializer` classes? +- The `ProveDHTupleSerializer` is used to serialize and deserialize instances of the `ProveDHTuple` class, while the `CreateProveDHTupleSerializer` is used to serialize and deserialize instances of the `CreateProveDHTuple` class. + +3. What is the purpose of the `cons` parameter in both the `ProveDHTupleSerializer` and `CreateProveDHTupleSerializer` classes? +- The `cons` parameter is a function that is used to construct instances of the `ProveDHTuple` and `CreateProveDHTuple` classes, respectively. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.md new file mode 100644 index 0000000000..8e1a2b2d9a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SigmaTransformerSerializer.scala) + +The code provided is a Scala implementation of a serializer for a SigmaTransformer, which is a type of data structure used in the Sigmastate project. The purpose of this serializer is to convert a SigmaTransformer object into a byte stream that can be transmitted over a network or stored in a file. The serializer also provides a method to parse the byte stream back into a SigmaTransformer object. + +The SigmaTransformerSerializer class takes two type parameters, I and O, which represent the input and output types of the SigmaTransformer. The class is constructed with a SigmaTransformerCompanion object and a function that takes a sequence of SigmaPropValue objects and returns a SigmaPropValue object. The SigmaTransformerCompanion object provides information about the SigmaTransformer, such as the number and types of arguments it takes. + +The serializer implements the ValueSerializer trait, which requires two methods: serialize and parse. The serialize method takes a SigmaTransformer object and a SigmaByteWriter object and writes the object's items to the writer using the putValues method. The items are obtained from the SigmaTransformer object and are written to the writer using the argInfos and valuesItemInfo methods of the SigmaTransformerCompanion object. + +The parse method takes a SigmaByteReader object and returns a SigmaPropValue object. It first reads the number of items in the byte stream using the getUIntExact method of the reader. It then creates an array of SigmaPropValue objects with the same size as the number of items and reads each item from the byte stream using the getValue method of the reader. Finally, it calls the constructor function with the array of SigmaPropValue objects as an argument to create a new SigmaPropValue object. + +This serializer is an important component of the Sigmastate project as it allows SigmaTransformer objects to be transmitted and stored efficiently. It can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project. An example of how this serializer might be used in the larger project is to serialize a SigmaTransformer object and send it over a network to a remote node for processing. +## Questions: + 1. What is the purpose of the `SigmaTransformerSerializer` class? +- The `SigmaTransformerSerializer` class is a serializer for `SigmaTransformer` instances, which are used to transform `SigmaPropValue` instances. + +2. What is the significance of the `opDesc` and `cons` parameters in the `SigmaTransformerSerializer` constructor? +- The `opDesc` parameter is a `SigmaTransformerCompanion` object that provides information about the `SigmaTransformer` being serialized. The `cons` parameter is a function that takes a sequence of `SigmaPropValue` instances and returns a `SigmaPropValue` instance. + +3. What is the purpose of the `parse` method in the `SigmaTransformerSerializer` class? +- The `parse` method deserializes a `SigmaTransformer` instance from a `SigmaByteReader` by reading in a sequence of `SigmaPropValue` instances and passing them to the `cons` function to create a new `SigmaPropValue` instance. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.md new file mode 100644 index 0000000000..37d4f0766e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.md @@ -0,0 +1,40 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SimpleTransformerSerializer.scala) + +The code above is a part of the Sigmastate project and is located in the `sigmastate.serialization.transformers` package. The purpose of this code is to provide a serializer for a simple transformer that takes an input of type `I` and produces an output of type `O`. The transformer is represented by the `Transformer[I, O]` class, which is a part of the `sigmastate.utxo` package. + +The `SimpleTransformerSerializer` class is responsible for serializing and deserializing instances of the `Transformer[I, O]` class. It takes two parameters: `opDesc`, which is an instance of the `SimpleTransformerCompanion` class that provides information about the transformer, and `cons`, which is a function that takes an input of type `Value[I]` and produces an output of type `Value[O]`. + +The `serialize` method of the `SimpleTransformerSerializer` class takes an instance of the `Transformer[I, O]` class and a `SigmaByteWriter` object and writes the serialized form of the transformer to the writer. The `parse` method takes a `SigmaByteReader` object and returns an instance of the `Value[O]` class that represents the deserialized transformer. + +The `inputInfo` field of the `SimpleTransformerSerializer` class is an instance of the `DataInfo[SValue]` class that provides information about the input value of the transformer. This information is used by the `serialize` method to write the serialized form of the input value to the writer. + +Overall, this code provides a way to serialize and deserialize instances of the `Transformer[I, O]` class, which can be used in the larger Sigmastate project to represent various types of transformers that operate on values of different types. Here is an example of how this code can be used: + +```scala +import sigmastate.SType +import sigmastate.Values.{Value, SValue} +import sigmastate.utxo.{Transformer, SimpleTransformerCompanion} + +// Define a simple transformer that takes an Int value and adds 1 to it +case class AddOneTransformer() extends Transformer[Int, Int] { + override def apply(input: Value[Int]): Value[Int] = input + 1 +} + +// Create a serializer for the AddOneTransformer class +val serializer = SimpleTransformerSerializer(AddOneTransformer, AddOneTransformer()) + +// Serialize an instance of the AddOneTransformer class +val transformerBytes = serializer.toBytes(AddOneTransformer()) + +// Deserialize the serialized bytes into an instance of the AddOneTransformer class +val deserializedTransformer = serializer.parseBytes(transformerBytes) +``` +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for a simple transformer that takes an input value of type I and returns an output value of type O. + +2. What is the significance of the `SimpleTransformerCompanion` parameter in the `SimpleTransformerSerializer` case class? + - The `SimpleTransformerCompanion` provides information about the transformer being serialized, such as the types of its input and output values. + +3. What is the role of the `parse` method in the `SimpleTransformerSerializer` class? + - The `parse` method deserializes a value of type `O` from a `SigmaByteReader` by first reading an input value of type `I` and then applying the transformer's `cons` function to it. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.md new file mode 100644 index 0000000000..2d7f7da68b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/SliceSerializer.scala) + +The code above is a Scala implementation of a serializer for the Slice operation in the SigmaState project. The Slice operation is used to extract a subsequence of elements from a collection. The purpose of this code is to provide a way to serialize and deserialize Slice objects, which can then be used in the larger project. + +The SliceSerializer class takes a constructor that accepts three arguments: a Value object representing the input collection, a Value object representing the starting index of the subsequence, and a Value object representing the ending index of the subsequence. These arguments are used to create a new Value object representing the subsequence. + +The class extends the ValueSerializer trait, which provides methods for serializing and deserializing Value objects. The opDesc method returns the Slice operation, which is used to identify the operation being serialized or deserialized. + +The serialize method takes a Slice object and a SigmaByteWriter object as arguments. It then writes the input, from, and until values of the Slice object to the SigmaByteWriter object using the putValue method. + +The parse method takes a SigmaByteReader object as an argument and reads the input, from, and until values from the reader using the getValue method. It then calls the constructor passed to the SliceSerializer object to create a new Value object representing the subsequence. + +Overall, this code provides a way to serialize and deserialize Slice objects in the SigmaState project. This can be useful for storing and transmitting Slice objects between different parts of the project. Here is an example of how this code might be used: + +``` +val input = SCollection[Int](1, 2, 3, 4, 5) +val from = SInt(1) +val until = SInt(4) +val slice = Slice(input, from, until) +val serializer = SliceSerializer((i, f, u) => Slice(i, f, u)) +val writer = new SigmaByteWriter() +serializer.serialize(slice, writer) +val bytes = writer.toBytes +val reader = new SigmaByteReader(bytes) +val deserializedSlice = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code? + - This code defines a serializer for the `Slice` operation in the Sigma programming language, which extracts a sub-collection from a given collection. +2. What other operations does this code depend on? + - This code depends on the `Slice` operation and the `SInt`, `SCollection`, and `SType` types from the Sigma programming language. +3. How does this code handle serialization and deserialization of `Slice` objects? + - This code uses a `SigmaByteWriter` to serialize the `input`, `from`, and `until` values of a `Slice` object, and a `SigmaByteReader` to parse these values back into a `Slice` object using the `cons` constructor. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.md new file mode 100644 index 0000000000..1a00d1c2b3 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/transformers/summary.md @@ -0,0 +1,11 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/transformers) + +The code in this folder provides serializers for various operations and transformers in the SigmaState project. Serializers are responsible for converting objects into byte streams that can be transmitted over a network or stored in a file, and deserializing them back into objects. These serializers are crucial for enabling communication between different parts of the SigmaState system and for storing data in various formats. + +For example, the `AppendSerializer` class is responsible for serializing and deserializing the `Append` operation, which concatenates two collections of the same type. This serializer can be used in a smart contract that needs to concatenate two collections of data before performing some computation on the resulting collection. + +Another example is the `AtLeastSerializer` class, which serializes and deserializes the `AtLeast` operation. This operation is used to create a `SigmaPropValue` representing a threshold signature scheme, requiring a minimum number of signatures from a collection of `SigmaPropValues` to be valid. The serializer allows `AtLeast` operations to be transmitted over the network or stored in a database. + +The `BooleanTransformerSerializer` class provides serialization and deserialization for the `BooleanTransformer` class, which is used to transform a collection of values into a boolean value based on a given condition. This serializer can be used in various parts of the project to transform collections of values into boolean values based on a given condition. + +In summary, the serializers in this folder play a crucial role in the SigmaState project by enabling the efficient transmission and storage of various operations and transformers. They can be used in conjunction with other serializers and deserializers to create a complete serialization framework for the project, allowing for seamless communication between different parts of the system and efficient storage of data. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.md new file mode 100644 index 0000000000..8b6a71615a --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/QuadrupleSerializer.scala) + +The code above defines a serializer for a Quadruple, which is a data structure that holds four values of potentially different types. The purpose of this serializer is to convert a Quadruple object into a byte stream that can be transmitted over a network or stored in a file, and vice versa. + +The serializer is defined as a case class that takes four type parameters, S1, S2, S3, and S4, which represent the types of the four values stored in the Quadruple. The constructor of the serializer takes two arguments: an instance of a QuadrupleCompanion object, which provides metadata about the Quadruple, and a function that takes three Value objects of types S1, S2, and S3, and returns a Value object of type S4. + +The serializer implements the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes a Quadruple object and a SigmaByteWriter object, which is used to write the byte stream. The method first retrieves the DataInfo objects for the three values stored in the Quadruple from the QuadrupleCompanion object, and then writes each value to the byte stream using the putValue method of the SigmaByteWriter object. + +The parse method takes a SigmaByteReader object, which is used to read the byte stream, and returns a Value object of type S4. The method first reads the three values from the byte stream using the getValue method of the SigmaByteReader object, and then calls the constructor function with these values to create a new Value object of type S4. + +This serializer can be used in the larger project to serialize and deserialize Quadruple objects, which may be used to represent complex data structures or computations. For example, a Quadruple object could be used to represent a mathematical function that takes three inputs and produces one output. The serializer would then be used to transmit or store the function over a network or in a file. + +Example usage: + +``` +val q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true)) +val serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)}) +val writer = new SigmaByteWriter() +serializer.serialize(q, writer) +val bytes = writer.toBytes +val reader = SigmaByteReader(bytes) +val parsed = serializer.parse(reader) +``` +## Questions: + 1. What is the purpose of this code and how does it fit into the overall project? +- This code is a serializer for a Quadruple data structure in the Sigmastate project. It allows for the serialization and deserialization of Quadruple objects. + +2. What are the requirements for the input types S1, S2, S3, and S4? +- The input types S1, S2, S3, and S4 must all be subtypes of SType, which is a type hierarchy for values in Sigmastate. + +3. What is the significance of the cons parameter in the QuadrupleSerializer constructor? +- The cons parameter is a function that takes three Value objects of types S1, S2, and S3 and returns a Value object of type S4. It is used to construct a Quadruple object from the deserialized values. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.md new file mode 100644 index 0000000000..f10ef74884 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/serialization/trees/Relation2Serializer.scala) + +The code above defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array that can be transmitted over a network or stored in a file. + +The serializer is implemented as a case class that takes two arguments: an instance of a RelationCompanion object that describes the relation, and the constructor function that creates the relation. The serializer extends the ValueSerializer trait, which defines two methods: serialize and parse. The serialize method takes an instance of the relation and a SigmaByteWriter object, and writes the relation to the writer in a binary format. The parse method takes a SigmaByteReader object and returns an instance of the relation. + +The serializer uses the opCodeInfo, bitsInfo, leftArgInfo, and rightArgInfo objects to define the format of the binary data. The opCodeInfo object is a DataInfo object that describes the opcode used to represent the relation. The bitsInfo object is a DataInfo object that describes the format of the two bits used to represent the relation. The leftArgInfo and rightArgInfo objects are DataInfo objects that describe the format of the two arguments to the relation. + +The serializer uses the cases and when methods to define the different cases for serializing the relation. If the relation is a constant Boolean value, the serializer writes the opcode and the two bits to the writer. Otherwise, the serializer writes the two arguments to the writer. + +The parse method uses the peekByte method to determine if the relation is a constant Boolean value. If it is, the method reads the two bits and creates an instance of the relation using the constructor function. Otherwise, the method reads the two arguments and creates an instance of the relation using the constructor function. + +Overall, this serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in a variety of contexts, such as in smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract. +## Questions: + 1. What is the purpose of this code and what does it do? + + This code defines a serializer for a binary relation between two values of specific types in the SigmaState project. It serializes and deserializes the relation into a byte stream. + +2. What are the input and output types of the `Relation2Serializer` class? + + The `Relation2Serializer` class takes in three type parameters: `S1`, `S2`, and `R`. `S1` and `S2` are the types of the two values being related, and `R` is the type of the resulting relation. The class extends `ValueSerializer[R]`. + +3. What is the purpose of the `HOTSPOT` comment in the `parse` method? + + The `HOTSPOT` comment indicates that the code in the `parse` method should not be modified for performance reasons. This method is a critical part of the serialization process and any changes to it could have a significant impact on performance. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.md new file mode 100644 index 0000000000..f353307453 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/serialization/trees/summary.md @@ -0,0 +1,21 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees) + +The `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/serialization/trees` folder contains two important serializers, `QuadrupleSerializer.scala` and `Relation2Serializer.scala`, which are used for serializing and deserializing complex data structures and binary relations, respectively. + +`QuadrupleSerializer.scala` defines a serializer for a Quadruple, a data structure that holds four values of potentially different types. This serializer converts a Quadruple object into a byte stream for transmission or storage and vice versa. It can be used in the larger project to serialize and deserialize Quadruple objects representing complex data structures or computations. For example, a Quadruple object could represent a mathematical function with three inputs and one output. The serializer would then be used to transmit or store the function over a network or in a file. + +Example usage: + +```scala +val q = Quadruple(IntConstant(1), LongConstant(2L), ByteArrayConstant(Array[Byte](3)), BooleanConstant(true)) +val serializer = QuadrupleSerializer(Quadruple, {(a: Value[Int.type], b: Value[Long.type], c: Value[ByteArray], d: Value[Boolean.type]) => IntConstant(0)}) +val writer = new SigmaByteWriter() +serializer.serialize(q, writer) +val bytes = writer.toBytes +val reader = SigmaByteReader(bytes) +val parsed = serializer.parse(reader) +``` + +`Relation2Serializer.scala` defines a serializer for a binary relation between two values of types S1 and S2, which returns a value of type R. The relation is represented by a function constructor that takes two values of types S1 and S2 and returns a value of type SBoolean. The serializer is used to convert the relation into a byte array for transmission or storage. + +This serializer is an important component of the larger project as it allows binary relations to be transmitted and stored in a compact and efficient format. It can be used in various contexts, such as smart contracts or cryptographic protocols, where binary relations are commonly used. An example of using this serializer would be in a smart contract that checks if a user has a certain amount of funds in their account before allowing them to make a transaction. The relation would be serialized and transmitted to the network, where it would be parsed and evaluated by the smart contract. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/sigmastate.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/sigmastate.md new file mode 100644 index 0000000000..8b72efa470 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/sigmastate.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/sigmastate.scala) + +This code defines a set of functions for performing arithmetic operations on values of numeric types in the Sigma programming language. The functions are defined in the `sigmastate` package and are accessible to other parts of the project. + +The functions include `Plus`, `Minus`, `Multiply`, `Divide`, and `Modulo`, which perform addition, subtraction, multiplication, division, and modulo operations on values of numeric types. These functions take two arguments of the same numeric type and return a value of the same type. + +In addition to these basic arithmetic operations, the code also defines `Min` and `Max` functions, which return the minimum and maximum of two values of the same numeric type. + +Finally, the code defines `PlusModQ` and `MinusModQ` functions, which perform addition and subtraction operations on values of the `SBigInt` type, but with the result modulo a large prime number `Q`. These functions are used in cryptographic protocols to ensure that the result of the operation remains within a certain range. + +Overall, this code provides a set of basic arithmetic operations that can be used in various parts of the Sigma project, such as in the implementation of smart contracts or cryptographic protocols. For example, the `Plus` function could be used to add two values in a smart contract, while the `PlusModQ` function could be used in a cryptographic protocol to perform secure addition of large numbers. +## Questions: + 1. What is the purpose of this code? +- This code defines several functions for performing mathematical operations on values of specific types. + +2. What is the significance of the `SNumericType` and `SBigInt.type` types? +- `SNumericType` is a type parameter that constrains the input values to be of a numeric type, while `SBigInt.type` is a singleton type representing the `BigInt` type. + +3. What is the role of the `CheckingSigmaBuilder` import? +- The `CheckingSigmaBuilder` import is used to provide access to the `mkPlus`, `mkMinus`, `mkMultiply`, `mkDivide`, `mkModulo`, `mkMin`, `mkMax`, `mkPlusModQ`, and `mkMinusModQ` functions, which are used to construct new values of the appropriate types. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.md new file mode 100644 index 0000000000..788b6ea461 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Extensions.scala) + +The code in this file defines extension methods for converting numeric types to byte arrays and collections of Booleans. These methods are defined as implicit classes, which allows them to be used as if they were part of the original numeric types. + +The `ByteOpsForSigma` class defines two methods: `toBytes` and `toBits`. The `toBytes` method returns a big-endian representation of the Byte value in a collection of bytes. For example, the Byte value `0x12` would yield the byte array `{0x12}`. The `toBits` method is not implemented and is left as a TODO for future development. + +The `ShortOpsForSigma`, `IntOpsForSigma`, and `LongOpsForSigma` classes define similar methods for converting Short, Int, and Long values to byte arrays and collections of Booleans. The `toBytes` methods return big-endian representations of the numeric values in collections of bytes, while the `toBits` methods are not implemented. + +These extension methods may be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations. For example, the `toBytes` method for Long values could be used to convert a private key to a byte array for storage or transmission. The `toBits` method could be used to convert a numeric value to a collection of Booleans for use in a bitwise operation. + +Overall, this code provides a convenient way to convert numeric values to byte arrays and collections of Booleans, which are commonly used in cryptographic operations. +## Questions: + 1. What is the purpose of the `Extensions` object? +- The `Extensions` object defines extension methods for converting numeric types to collections of bytes and Booleans. + +2. What is the purpose of the `toBytes` method in each implicit class? +- The `toBytes` method returns a big-endian representation of the numeric value in a collection of bytes. + +3. What is the purpose of the `toBits` method in each implicit class? +- The `toBits` method is not implemented and its purpose is unclear from the provided code. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.md new file mode 100644 index 0000000000..b0e849755e --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/Helpers.scala) + +The `Helpers` object contains a set of utility functions that can be used across the project. + +The `MutableCell` class is a helper class that encapsulates a mutable value. + +The `xor` function takes two or more byte arrays and performs an XOR operation on them. The `xorU` function is similar to `xor`, but it performs an in-place update of the first argument. Both functions return the resulting byte array. + +The `concatArrays` function concatenates two arrays into a new resulting array. All items of both arrays are copied to the result using `System.arraycopy`. + +The `castArray` function casts an array of type `A` to an array of type `B`. + +The `deepHashCode` function returns the hash code of an array. It is optimized for arrays of primitive types and arrays of objects. + +The `safeIdHashCode` function returns the hash code of an array of bytes. It is optimized for arrays that represent some hash and have enough randomness. + +The `TryOps` class provides additional methods for `Try` instances. The `fold` method takes two functions, one to handle the success case and one to handle the failure case. The `toEither` method converts a `Try` instance to an `Either` instance. The `mapOrThrow` method applies a function to the value of a `Try` instance and throws an exception if the `Try` instance is a failure. The `getOrThrow` method returns the value of a `Try` instance or throws an exception if the `Try` instance is a failure. + +The `DecoderResultOps` class provides a `toTry` method that converts a `Decoder.Result` instance to a `Try` instance. + +The `EitherOps` class provides a `mapRight` method that applies a function to the right value of an `Either` instance. + +The `decodeGroupElement` function decodes a hex string into a byte array and then uses `SigmaDsl.decodePoint()` to construct a `GroupElement` instance. + +The `decodeECPoint` function decodes a hex string into a `GroupElement` and then extracts the underlying `EcPointType` instance. + +The `decodeBytes` function decodes a hex string into a collection of bytes. + +The `Overloading` object contains three classes (`Overload1`, `Overload2`, and `Overload3`) and implicit values for each class. These can be used for overloading purposes. +## Questions: + 1. What is the purpose of the `Helpers` object? +- The `Helpers` object contains various helper functions for working with arrays, decoding hex strings, and converting between different data types. + +2. What is the purpose of the `Overloading` object? +- The `Overloading` object defines three classes and creates implicit values for each of them. These values can be used for method overloading based on the type of the argument. + +3. What is the purpose of the `MutableCell` class? +- The `MutableCell` class encapsulates a mutable value, which can be useful for passing around a reference to a mutable object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.md new file mode 100644 index 0000000000..1d0d4c9b7b --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteReader.scala) + +The `SigmaByteReader` class is a reader used in the concrete implementations of the `SigmaSerializer`. It decorates the given reader, delegates most of the methods to it, but also adds new methods. The purpose of this class is to read serialized data and deserialize it into Sigma types and values. + +The class takes in a `Reader` object, which is the underlying reader this reader reads from, a `ConstantStore` object, which is the store of constants used to resolve `ConstantPlaceholder`, a `Boolean` flag `resolvePlaceholdersToConstants`, which if true then resolved constants will be substituted in the tree instead of the placeholder, and an `Int` `maxTreeDepth`, which is a limit on the tree depth (recursive invocations) of the deserializer. + +The class has several methods that read different types of data from the serialized data, such as `getByte()`, `getShort()`, `getInt()`, `getLong()`, `getBytes(size: Int)`, `getBits(size: Int)`, `getOption[T](getValue: => T)`, `getType(): SType`, and `getValue(): SValue`. It also has a method `getValues()` that reads a sequence of values from the serialized data. + +The class also has several helper properties and methods, such as `checkPositionLimit()`, which checks that the current reader position is <= positionLimit, `level` and `level_=` which are used to track the depth of nested value deserialization calls, `positionLimit` and `positionLimit_=` which set the limit on the reader position, `complexity` and `complexity_=` which are used to accumulate complexity during parsing, and `wasDeserialize` and `wasDeserialize_=` which are used to track deserialization operations during parsing. + +Overall, the `SigmaByteReader` class is an important component of the Sigma serialization and deserialization process, allowing serialized data to be read and deserialized into Sigma types and values. +## Questions: + 1. What is the purpose of the `SigmaByteReader` class? +- The `SigmaByteReader` class is a reader used in the concrete implementations of `SigmaSerializer` that decorates the given reader, delegates most of the methods to it, but also adds new methods. + +2. What is the significance of the `maxTreeDepth` parameter in the `SigmaByteReader` constructor? +- The `maxTreeDepth` parameter is a limit on the tree depth (recursive invocations) of the deserializer. + +3. What is the purpose of the `getValues()` method in the `SigmaByteReader` class? +- The `getValues()` method reads a sequence of values from the reader. It first reads the number of values and then reads each value using `getValue()` method. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.md new file mode 100644 index 0000000000..cdd78e4bab --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SigmaByteWriter.scala) + +The SigmaByteWriter class is a utility class that provides methods for writing various data types to a Writer object. It is used in the larger project to serialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain. + +The class takes a Writer object and an optional ConstantStore object as constructor arguments. The Writer object is used to write the serialized data, while the ConstantStore object is used to store constants that are referenced by the serialized data. + +The class provides methods for writing various data types, including Byte, Boolean, Short, Int, Long, and arrays of Bytes. These methods take a value of the corresponding data type as an argument and write it to the Writer object. They also take an optional DataInfo object as an argument, which provides additional information about the data being written, such as its name and description. + +The class also provides methods for writing SigmaState objects, including SType and SValue objects. These methods take a SigmaState object as an argument and use the appropriate serializer to write it to the Writer object. + +Overall, the SigmaByteWriter class is an important utility class in the larger project, as it provides a convenient way to serialize SigmaState objects for use in smart contracts on the Ergo blockchain. +## Questions: + 1. What is the purpose of this class and what does it do? + + This class is a writer for serializing Sigma values into bytes. It provides methods for writing various data types and values, including SType and SValue, and can also handle constant extraction. + +2. What is the significance of the various marker types and format descriptors used in this code? + + The marker types and format descriptors are used to specify the format of the data being written and to ensure that the correct serialization method is used. For example, the ZigZag marker type is used to indicate that a value should be encoded using ZigZag encoding, while the UVlqFmt format descriptor is used to specify that an unsigned value should be encoded using variable-length quantity encoding. + +3. How does this class handle constant extraction and what is its purpose? + + This class takes an optional constant extraction store as a parameter, which allows it to extract and serialize constant values separately from other values. This can improve efficiency by reducing the amount of redundant data that needs to be serialized and transmitted. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.md new file mode 100644 index 0000000000..65641f61bf --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utils/SparseArrayContainer.scala) + +The `SparseArrayContainer` class is used to store values in a sparse array. The class takes a list of pairs (code, value) as input and builds an array with one item for each OpCode. The values are stored in the array at the index corresponding to their code. If there is no value for a given code, the array stores null at that index. + +The `SparseArrayContainer` class provides three methods for accessing and modifying the values in the array. The `apply` method takes a code as input and returns the value stored at the corresponding index in the array. If there is no value for the given code, the method returns null. The `get` method is similar to `apply`, but it returns an `Option` instead of null. If there is a value for the given code, the method returns `Some(value)`. Otherwise, it returns `None`. The `add` method takes a code and a value as input and adds the value to the array at the index corresponding to the code. If there is already a value at that index, the method throws an exception. The `remove` method takes a code as input and removes the value stored at the corresponding index in the array. If there is no value for the given code, the method throws an exception. + +The `SparseArrayContainer` class is used in the larger project to store values for different OpCodes. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode. This allows the project to easily access and modify the `ValueSerializer` objects for different OpCodes. + +Example usage: + +``` +val values = Seq((1.toByte, "value1"), (2.toByte, "value2"), (3.toByte, "value3")) +val container = new SparseArrayContainer[String](values) + +val value1 = container(1.toByte) // returns "value1" +val value2 = container.get(2.toByte) // returns Some("value2") +val value4 = container.get(4.toByte) // returns None + +container.add(4.toByte, "value4") +val value4New = container(4.toByte) // returns "value4" + +container.remove(2.toByte) +val value2New = container.get(2.toByte) // returns None +``` +## Questions: + 1. What is the purpose of the `SparseArrayContainer` class? +- The `SparseArrayContainer` class is used to store values in a sparse array, where each value is associated with a unique code. + +2. What is the significance of the `codeToIndex` method? +- The `codeToIndex` method is used to convert a code value to an index in the sparse array. It adds 128 to the code value to ensure that it is non-negative and can be used as an index. + +3. What is the purpose of the `buildForSerializers` method in the `SparseArrayContainer` companion object? +- The `buildForSerializers` method is used to create a new `SparseArrayContainer` instance from a sequence of `ValueSerializer` objects. It maps each serializer to a pair of its opcode and itself, and passes the resulting sequence to the `SparseArrayContainer` constructor. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/summary.md new file mode 100644 index 0000000000..8cb9c5525d --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utils/summary.md @@ -0,0 +1,41 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utils) + +The code in this folder provides utility functions and classes for the larger project, focusing on serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans. + +For example, the `Extensions.scala` file defines extension methods for converting numeric types (Byte, Short, Int, and Long) to byte arrays and collections of Booleans. These methods can be used in the larger project to convert numeric values to byte arrays and collections of Booleans for use in cryptographic operations. + +```scala +val num: Long = 123456789L +val byteArray: Array[Byte] = num.toBytes +``` + +The `Helpers.scala` file contains utility functions that can be used across the project, such as `xor` for XOR operations on byte arrays, `concatArrays` for concatenating arrays, and `decodeGroupElement` for decoding a hex string into a `GroupElement` instance. + +```scala +val array1 = Array[Byte](1, 2, 3) +val array2 = Array[Byte](4, 5, 6) +val xorResult = Helpers.xor(array1, array2) +val concatResult = Helpers.concatArrays(array1, array2) +``` + +The `SigmaByteReader.scala` and `SigmaByteWriter.scala` files provide classes for reading and writing serialized data for Sigma types and values. These classes are used in the larger project to serialize and deserialize SigmaState objects, which are used in the implementation of smart contracts on the Ergo blockchain. + +```scala +val writer = new SigmaByteWriter(new DataWriter()) +val value: SValue = ... +value.serialize(writer) + +val reader = new SigmaByteReader(new DataReader(writer.toByteArray)) +val deserializedValue: SValue = reader.getValue() +``` + +The `SparseArrayContainer.scala` file provides a class for storing values in a sparse array, which can be used to store values for different OpCodes in the larger project. The `buildForSerializers` method in the companion object takes a list of `ValueSerializer` objects as input and returns a `SparseArrayContainer` object with the `ValueSerializer` objects stored in the array at the index corresponding to their OpCode. + +```scala +val serializers = Seq(ValueSerializer1, ValueSerializer2, ValueSerializer3) +val container = SparseArrayContainer.buildForSerializers(serializers) + +val serializer1 = container(ValueSerializer1.opCode) +``` + +Overall, the code in this folder provides essential utility functions and classes for the larger project, enabling serialization and deserialization of Sigma types and values, as well as conversion of numeric types to byte arrays and collections of Booleans. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.md new file mode 100644 index 0000000000..3715b722b2 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTable.scala) + +The `ComplexityTable` object in the `sigmastate.utxo` package is used to store the complexity values of various operations and method calls in the ErgoScript language. These complexity values are used to estimate the computational cost of executing a given ErgoScript, which is important for ensuring that scripts do not consume excessive resources during execution. + +The `ComplexityTable` object contains two maps: `OpCodeComplexity` and `MethodCallComplexity`. The `OpCodeComplexity` map stores the complexity values for various operations, such as arithmetic, logical, and collection operations. The keys in this map are the operation codes (`OpCode`), and the values are the corresponding complexity values. The `MethodCallComplexity` map stores the complexity values for method calls on specific types, such as `AvlTree`, `SCollection`, and `Context`. The keys in this map are tuples of two bytes, where the first byte represents the type identifier and the second byte represents the method identifier. The values are the corresponding complexity values. + +For example, the complexity of the `Fold` operation is 4034, and the complexity of the `AvlTree.update` method call is 3911. These values are used by the ErgoScript interpreter to estimate the total complexity of a given script, which can then be used to determine if the script is within acceptable resource limits for execution. + +Here's an example of how the complexity values might be used: + +```scala +val scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum + + script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum +if (scriptComplexity > maxAllowedComplexity) { + // Reject the script as too complex +} else { + // Execute the script +} +``` + +In this example, the complexity values for all operations and method calls in the script are summed up, and the total complexity is compared against a predefined maximum allowed complexity. If the script's complexity exceeds the maximum, it is rejected; otherwise, it is executed. +## Questions: + 1. **Question**: What is the purpose of the `ComplexityTable` object in this code? + **Answer**: The `ComplexityTable` object contains two maps, `OpCodeComplexity` and `MethodCallComplexity`, which store the complexity values for various opcodes and method calls used in the project. These values can be used to estimate the computational complexity of certain operations in the code. + +2. **Question**: How are the complexity values in the `OpCodeComplexity` and `MethodCallComplexity` maps determined? + **Answer**: The complexity values in the maps are hard-coded and seem to be based on some pre-determined analysis or benchmarking of the operations. The comments next to each entry indicate the count of occurrences for each operation, which might have been used to calculate the complexity values. + +3. **Question**: What is the significance of the `MinimalComplexity` constant in the code? + **Answer**: The `MinimalComplexity` constant is set to 100 and represents the minimum complexity value that can be assigned to an operation. This can be used as a baseline for comparing the complexity of different operations in the code. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.md new file mode 100644 index 0000000000..5a8bde2f7d --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.md @@ -0,0 +1,47 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/ComplexityTableStat.scala) + +The `ComplexityTableStat` object contains methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. + +The `StatItem` class is a private mutable class that stores the count and sum of execution times for a given operation. The `opStat` and `mcStat` mutable hash maps store the execution times for op codes and method calls, respectively. + +The `addOpTime` method takes an op code and execution time as input and updates the corresponding `StatItem` in `opStat`. If the op code is not already in `opStat`, a new `StatItem` is created and added to the map. + +The `addMcTime` method takes a type ID, method ID, and execution time as input and updates the corresponding `StatItem` in `mcStat`. If the type ID and method ID are not already in `mcStat`, a new `StatItem` is created and added to the map. + +The `complexityTableString` method generates a string representation of the execution times for op codes and method calls. It first generates a list of tuples containing the op code or method call name, ID, average execution time, and count. It then sorts the list by execution time in descending order. + +The method then generates two separate lists of strings, one for op codes and one for method calls. Each string in the list contains the name or ID of the op code or method call, the average execution time in microseconds, and the count of executions. + +The final output is a string containing the two lists of op codes and method calls, separated by a line of dashes. + +This code can be used to analyze the performance of different operations and method calls in the `sigmastate.utxo` package. By calling the `addOpTime` and `addMcTime` methods at various points in the code, developers can track the execution times of specific operations and method calls. The `complexityTableString` method can then be used to generate a report of the execution times, which can be used to identify performance bottlenecks and optimize the code. + +Example usage: + +``` +// track execution time of an op code +val startTime = System.nanoTime() +// execute op code +val endTime = System.nanoTime() +val elapsedTime = endTime - startTime +ComplexityTableStat.addOpTime(opCode, elapsedTime) + +// track execution time of a method call +val startTime = System.nanoTime() +// call method +val endTime = System.nanoTime() +val elapsedTime = endTime - startTime +ComplexityTableStat.addMcTime(typeId, methodId, elapsedTime) + +// generate report of execution times +val report = ComplexityTableStat.complexityTableString +``` +## Questions: + 1. What is the purpose of the `ComplexityTableStat` object? +- The `ComplexityTableStat` object is used to collect and store timing statistics for op codes and method calls in the `sigmastate` package. + +2. What data structures are used to store the timing statistics? +- The timing statistics for op codes and method calls are stored in mutable hash maps called `opStat` and `mcStat`, respectively. + +3. What is the output format of the `complexityTableString` method? +- The `complexityTableString` method outputs a formatted string that displays the average execution time and count for each op code and method call, sorted by decreasing execution time. The op codes and method calls are displayed separately in two sections, each with their own header and divider lines. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/summary.md new file mode 100644 index 0000000000..603c3fa978 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/summary.md @@ -0,0 +1,52 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo) + +The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala/sigmastate/utxo` folder is part of the SigmaState UTXO package and is responsible for handling the complexity estimation and execution of ErgoScript operations and method calls, as well as providing a set of transformers and operations for manipulating data structures within the Ergo platform. + +`ComplexityTable.scala` contains the `ComplexityTable` object, which stores the complexity values of various operations and method calls in the ErgoScript language. These values are used to estimate the computational cost of executing a given ErgoScript, ensuring that scripts do not consume excessive resources during execution. For example: + +```scala +val scriptComplexity = script.operations.map(op => ComplexityTable.OpCodeComplexity(op.opCode)).sum + + script.methodCalls.map(mc => ComplexityTable.MethodCallComplexity((mc.typeId, mc.methodId))).sum +if (scriptComplexity > maxAllowedComplexity) { + // Reject the script as too complex +} else { + // Execute the script +} +``` + +`ComplexityTableStat.scala` provides methods for tracking and reporting the execution times of op codes and method calls in the `sigmastate.utxo` package. Developers can use this code to analyze the performance of different operations and method calls, identify performance bottlenecks, and optimize the code. Example usage: + +```scala +// track execution time of an op code +val startTime = System.nanoTime() +// execute op code +val endTime = System.nanoTime() +val elapsedTime = endTime - startTime +ComplexityTableStat.addOpTime(opCode, elapsedTime) + +// track execution time of a method call +val startTime = System.nanoTime() +// call method +val endTime = System.nanoTime() +val elapsedTime = endTime - startTime +ComplexityTableStat.addMcTime(typeId, methodId, elapsedTime) + +// generate report of execution times +val report = ComplexityTableStat.complexityTableString +``` + +`transformers.scala` provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes. For example: + +```scala +// map a collection using a custom function +val inputCollection: SCollection[Int] = ... +val mapperFunction: SFunc = ... +val mappedCollection = MapCollection(inputCollection, mapperFunction) + +// filter a collection based on a condition +val inputCollection: SCollection[Int] = ... +val conditionFunction: SFunc = ... +val filteredCollection = Filter(inputCollection, conditionFunction) +``` + +These transformers and operations are essential for processing and manipulating data within the Ergo platform and can be used in various parts of the project to perform complex data transformations and validations. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.md new file mode 100644 index 0000000000..036fd23a06 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/interpreter/shared/src/main/scala/sigmastate/utxo/transformers.scala) + +This code is part of the SigmaState UTXO package and provides a set of transformers and operations that can be applied to collections, boxes, and other data structures in the Ergo platform. These transformers are used to manipulate and extract information from data structures, such as filtering, mapping, and folding over collections, as well as extracting specific fields from tuples and boxes. + +For example, the `MapCollection` case class takes an input collection and a mapper function, and applies the function to each element of the collection, creating a new collection with the transformed elements. Similarly, the `Filter` case class takes an input collection and a condition function, and returns a new collection containing only the elements that satisfy the condition. + +Other transformers in this code include `Append`, `Slice`, `Exists`, `ForAll`, `Fold`, `ByIndex`, `SelectField`, `SigmaPropIsProven`, `SigmaPropBytes`, and various `Extract` operations for extracting specific fields from boxes, such as `ExtractAmount`, `ExtractScriptBytes`, `ExtractBytes`, `ExtractBytesWithNoRef`, `ExtractId`, and `ExtractCreationInfo`. + +Additionally, there are operations for working with optional values, such as `OptionGet`, `OptionGetOrElse`, and `OptionIsDefined`, as well as operations for deserializing and working with context variables, like `DeserializeContext`, `DeserializeRegister`, and `GetVar`. + +These transformers and operations are essential for processing and manipulating data within the Ergo platform, and they can be used in various parts of the project to perform complex data transformations and validations. +## Questions: + 1. **What is the purpose of the `Transformer` trait?** + + The `Transformer` trait is used to represent operations that transform some input value of type `IV` into an output value of type `OV`. It is mainly used to simplify the implementation and avoid code duplication. + +2. **How does the `MapCollection` case class work?** + + The `MapCollection` case class represents an operation that applies a given function `mapper` to all elements of an input collection and returns a new collection with the results. It takes an input collection of type `SCollection[IV]` and a mapper function of type `SFunc`, and returns a new collection of type `SCollection[OV]`. + +3. **What is the purpose of the `BooleanTransformer` trait?** + + The `BooleanTransformer` trait is used to represent operations that transform a collection of values into a boolean value. It is a subtype of the `Transformer` trait and has an input of type `SCollection[IV]` and an output of type `SBoolean.type`. Examples of such operations are `Exists` and `ForAll`, which test whether a predicate holds for at least one element or all elements of a collection, respectively. \ No newline at end of file diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/scala/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/summary.md new file mode 100644 index 0000000000..342d6fdf37 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/scala/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main/scala) + +The code in the `.autodoc/docs/json/interpreter/shared/src/main/scala` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains crucial components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. + +For instance, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/main/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/main/summary.md new file mode 100644 index 0000000000..6ed3031da4 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/main/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src/main) + +The code in the `.autodoc/docs/json/interpreter/shared/src/main` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. + +For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/shared/src/summary.md b/.autodoc/docs/markdown/interpreter/shared/src/summary.md new file mode 100644 index 0000000000..a4aa62dd50 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/src/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared/src) + +The code in the `.autodoc/docs/json/interpreter/shared/src` folder plays a crucial role in handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. + +For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/shared/summary.md b/.autodoc/docs/markdown/interpreter/shared/summary.md new file mode 100644 index 0000000000..0ca6f32e31 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/shared/summary.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter/shared) + +The code in the `.autodoc/docs/json/interpreter/shared` folder is essential for handling various aspects of the Ergo blockchain platform. It provides classes, traits, and objects for creating, encoding, decoding, and validating different data structures used in the Ergo blockchain. This folder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. + +For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. Here's an example of how to create and encode Ergo addresses: + +```scala +implicit val encoder: ErgoAddressEncoder = ErgoAddressEncoder(ErgoAddressEncoder.MainnetNetworkPrefix) + +val p2pkAddress = P2PKAddress(pubkey) +val p2shAddress = Pay2SHAddress(script) +val p2sAddress = Pay2SAddress(script) + +val p2pkStr = encoder.toString(p2pkAddress) +val p2shStr = encoder.toString(p2shAddress) +val p2sStr = encoder.toString(p2sAddress) + +val decodedP2pk = encoder.fromString(p2pkStr) +val decodedP2sh = encoder.fromString(p2shStr) +val decodedP2s = encoder.fromString(p2sStr) +``` + +The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoBox` class provides methods for working with boxes, such as getting the value of a register or converting a box to an `ErgoBoxCandidate`. + +The `ErgoLikeContext.scala` file represents a script evaluation context that is passed to a prover and a verifier to execute and validate guarding propositions of input boxes of a transaction. It contains various properties and methods for updating the context during the script execution process. + +The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network, such as `ErgoBoxReader`, `ErgoLikeTransactionTemplate`, `UnsignedErgoLikeTransaction`, and `ErgoLikeTransaction`. These classes can be used to create and manipulate transactions in the Ergo blockchain: + +```scala +val unsignedTx = UnsignedErgoLikeTransaction(inputs, dataInputs, outputCandidates) +val signedTx = unsignedTx.toSigned(proverResults) +``` + +The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. It provides a set of classes, traits, and objects that define and manage validation rules, their statuses, and their interactions with other components of the Ergo blockchain. diff --git a/.autodoc/docs/markdown/interpreter/summary.md b/.autodoc/docs/markdown/interpreter/summary.md new file mode 100644 index 0000000000..3cd969ead0 --- /dev/null +++ b/.autodoc/docs/markdown/interpreter/summary.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/interpreter) + +The code in the `.autodoc/docs/json/interpreter` folder is essential for handling various aspects of the Ergo blockchain platform. It provides cryptographic functions, data structures, and validation rules for working with the Ergo blockchain. The folder is organized into three subfolders: `js`, `jvm`, and `shared`. + +The `js` subfolder provides cryptographic functions for working with elliptic curve cryptography in the Sigma protocol. These functions can be used to perform various cryptographic operations such as point multiplication, point addition, and hashing. The code is dependent on the `sigmajs-crypto-facade` library and is written in Scala.js. Here's an example of how this code might be used: + +```scala +import sigmastate.crypto._ + +// Create a new cryptographic context +val cryptoContext = CryptoFacadeJs.createCryptoContext() + +// Get the generator point of the elliptic curve +val generator = cryptoContext.getGenerator() + +// Multiply the generator point by a scalar +val scalar = BigInt("1234567890") +val result = CryptoFacadeJs.multiplyPoint(generator, scalar) + +// Add two points together +val point1 = cryptoContext.decodePoint("abcdef") +val point2 = cryptoContext.decodePoint("123456") +val sum = CryptoFacadeJs.addPoint(point1, point2) + +// Check if a point is the point at infinity +val isInfinity = CryptoFacadeJs.isInfinityPoint(sum) + +// Perform HMAC-SHA512 hashing +val data = utils.hexToBytes("abcdef") +val key = utils.hexToBytes("123456") +val hash = CryptoFacadeJs.hashHmacSHA512(data, key) +``` + +The `jvm` subfolder contains essential cryptographic utilities for the Sigma protocol project on the Java Virtual Machine (JVM) platform. The main focus of this package is to provide elliptic curve cryptography, hashing, and utility methods for working with byte arrays and strings. These utilities can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. + +The `shared` subfolder contains essential components for working with Ergo addresses, ErgoBox, transaction inputs, and validation rules. For example, the `ErgoAddress.scala` file defines the `ErgoAddress` trait and its implementations for different types of Ergo addresses. These addresses are used to protect boxes in the Ergo blockchain and can be encoded and decoded using the `ErgoAddressEncoder` case class. The `ErgoBox.scala` file represents a box (unspent transaction output) in the Ergo blockchain, which is locked by a proposition (ErgoTree) and associated with a monetary value. The `ErgoLikeTransaction.scala` file provides classes and traits for representing and manipulating transactions in the Ergo network. The `validation` folder contains code for managing and tracking the status of rules in a blockchain validation system, ensuring the integrity and consistency of the Ergo blockchain platform. + +In summary, the code in the `.autodoc/docs/json/interpreter` folder provides a set of cryptographic functions, data structures, and validation rules for working with the Ergo blockchain platform. These components can be used for key generation, message signing, signature verification, and ensuring the security and integrity of cryptographic operations. diff --git a/.autodoc/docs/markdown/jest.config.md b/.autodoc/docs/markdown/jest.config.md new file mode 100644 index 0000000000..99e6e18d89 --- /dev/null +++ b/.autodoc/docs/markdown/jest.config.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/jest.config.js) + +This code exports an object with several properties that configure the behavior of a testing framework. The `collectCoverage` property is a boolean that determines whether or not code coverage information should be collected during testing. If set to `true`, the framework will track which lines of code are executed during testing and generate a report showing how much of the codebase was covered. If set to `false`, no coverage information will be collected. + +The `coverageProvider` property specifies which coverage analysis tool to use. In this case, it is set to "v8", which is the default coverage provider for Node.js. Other options include "babel" and "babel-jest", which are used for code written in the Babel transpiler. + +The `moduleDirectories` property is an array of directories to search for modules when importing them in test files. By default, the framework will look in the `node_modules` directory, but this property allows for additional directories to be searched. + +The `testMatch` property is an array of file patterns that determine which files should be considered test files. The patterns use glob syntax and include both `.js` and `.jsx` file extensions. The patterns include files located in the `__tests__` directory as well as files with names that end in "spec" or "test". + +Overall, this code provides configuration options for a testing framework, allowing developers to customize how tests are run and what information is collected during testing. It can be used in conjunction with other testing tools and libraries to create a comprehensive testing suite for a project. Here is an example of how this code might be used in a larger project: + +``` +const jestConfig = require('./jest.config'); + +module.exports = { + ...jestConfig, + collectCoverage: true, + coverageThreshold: { + global: { + branches: 80, + functions: 80, + lines: 80, + statements: 80, + }, + }, +}; +``` + +In this example, the `jestConfig` object is imported from the file containing the code we just analyzed. The object is then spread into a new object, allowing us to modify some of its properties. In this case, we set `collectCoverage` to `true` and define a coverage threshold that must be met for the tests to pass. This modified configuration object is then exported and used by the testing framework to run tests and generate coverage reports. +## Questions: + 1. What is the purpose of this module and how is it used in the project? + This module exports an object with configuration options for testing, including coverage settings and test file patterns. It is likely used by a testing framework or tool in the project. + +2. What does the `collectCoverage` option do and why is it set to `false`? + The `collectCoverage` option determines whether code coverage information should be collected during testing. In this case, it is set to `false`, indicating that coverage information should not be collected. + +3. What is the significance of the `moduleDirectories` option? + The `moduleDirectories` option specifies directories to search for modules when importing them in test files. In this case, it only includes the `node_modules` directory, indicating that modules should only be searched for there. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.md new file mode 100644 index 0000000000..9d16bae91b --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/SigmaParser.scala) + +# SigmaParser Code Explanation + +The `SigmaParser` object is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. + +The `SigmaParser` object imports several classes and objects from the `sigmastate.lang` package, including `Values`, `Nullable`, `Terms`, `Core`, and `Exprs`. It also imports `fastparse.internal.Logger` and `scala.collection.mutable` packages. + +The `SigmaParser` object extends the `Exprs` trait, which defines methods for parsing ErgoScript expressions, and the `Types` trait, which defines methods for parsing ErgoScript types. It also extends the `Core` trait, which defines methods for constructing ErgoTree nodes. + +The `SigmaParser` object overrides the `atSrcPos` and `srcCtx` methods from the `Exprs` trait. The `atSrcPos` method takes a parser index and a thunk and returns the result of the thunk with the current source context set to the source context at the given parser index. The `srcCtx` method takes a parser index and returns the source context at the given parser index. + +The `SigmaParser` object defines the `ValVarDef` and `BlockDef` methods, which parse variable and block definitions, respectively. The `ValVarDef` method takes an index, a binding pattern, an optional type, and an expression, and returns a `Val` node with the given name, type, and body. The `BlockDef` method calls the `Dcl` method, which is defined in the `Core` trait. + +The `SigmaParser` object defines the `mkUnaryOp` and `mkBinaryOp` methods, which construct ErgoTree nodes for unary and binary operations, respectively. The `mkUnaryOp` method takes an operator name and an argument and returns the result of applying the operator to the argument. The `mkBinaryOp` method takes a left operand, an operator name, and a right operand, and returns the result of applying the operator to the operands. + +The `SigmaParser` object defines the `parseType` method, which takes a string representation of a type in ErgoScript syntax and returns an SType object. The `parseType` method calls the `parsedType` method, which parses the string into an SType object. + +The `SigmaParser` object defines the `apply` method, which takes a string representation of ErgoScript code and returns a parsed ErgoTree expression. The `apply` method calls the `parse` method, which parses the code into an ErgoTree expression. + +Overall, the `SigmaParser` object provides a high-level interface for parsing ErgoScript code into ErgoTree expressions and SType objects. It can be used in the larger project to parse ErgoScript code and construct ErgoTree nodes. + +Example usage: + +``` +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` +## Questions: + 1. What is the purpose of the `SigmaParser` object? +- The `SigmaParser` object is the main facade to ErgoScript parser implementation. + +2. What types of operations are supported by the `mkUnaryOp` and `mkBinaryOp` methods? +- The `mkUnaryOp` method supports prefix operations such as `-`, `!`, and `~`, while the `mkBinaryOp` method supports binary operations such as `==`, `!=`, `>=`, `>`, `<=`, `<`, `-`, `|`, `&`, `/`, and `%`. + +3. What is the purpose of the `parseType` method? +- The `parseType` method parses a string representation of a type in ErgoScript syntax into an `SType`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/Types.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/Types.md new file mode 100644 index 0000000000..612f6dd614 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/Types.md @@ -0,0 +1,43 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/Types.scala) + +## Code Explanation: Types.scala + +The `Types` trait provides parsers for type terms that can produce values of `SType`. The `SType` is a type of values in the ErgoTree IR. The parsers are used to parse type expressions in the ErgoScript language. + +The trait defines the following parsers: + +- `TypeExpr`: Parses a typed expression and returns an expression of ErgoTree IR. +- `ValVarDef`: Parses `name = expr` syntax and returns an instance of `ValNode`. +- `Dcl`: Parses `val name = expr` syntax and returns an instance of `ValNode`. +- `PostfixType`: Parses a postfix type expression and returns an instance of `SType`. +- `Type`: Parses a type expression and returns an instance of `SType`. +- `InfixType`: Parses an infix type expression and returns an instance of `SType`. +- `CompoundType`: Parses a compound type expression and returns an instance of `SType`. +- `AnnotType`: Parses an annotated type expression and returns an instance of `SType`. +- `TypeId`: Parses a type identifier and returns an instance of `SType`. +- `TypeArgs`: Parses type arguments and returns an instance of `SType`. +- `SimpleType`: Parses a simple type expression and returns an instance of `SType`. +- `FunSig`: Parses a function signature and returns a sequence of function arguments. +- `DottyExtMethodSubj`: Parses an extension method subject. +- `Annot`: Parses an annotation with optional arguments. + +The trait also defines a `predefTypes` map that maps predefined type names to their corresponding `SType` instances. The `typeFromName` method is used to lookup a predefined type by name. + +The `Types` trait is used in the larger project to parse type expressions in ErgoScript code. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. + +Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` +## Questions: + 1. What is the purpose of the `Types` trait? +- The `Types` trait defines parsers for type terms that can produce values of `SType`, which is used in the ErgoTree IR. + +2. What is the `predefTypes` map used for? +- The `predefTypes` map is used to lookup pre-defined types by name. + +3. What is the purpose of the `InfixType` parser? +- The `InfixType` parser is used to parse infix types, which are types that use infix operators such as `+` or `:`. It checks the associativity of the operators and builds the corresponding `SType` object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/summary.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/summary.md new file mode 100644 index 0000000000..d0c876865d --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang) + +The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language. + +`SigmaParser.scala` is the main facade to the ErgoScript parser implementation. It provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. Example usage: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +`Types.scala` provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `syntax` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.md new file mode 100644 index 0000000000..dfb9c25c0e --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Basic.scala) + +The code provided is a Scala implementation of basic lexical parsers for ErgoScript, a scripting language used in the Ergo blockchain platform. The purpose of this code is to provide parsers for various types of tokens in ErgoScript, such as numbers, operators, and keywords. These parsers are used in the larger project to parse ErgoScript code and generate an abstract syntax tree (AST) that can be executed on the Ergo blockchain. + +The `Basic` object contains parsers for various types of tokens. The `Digit` parser matches a decimal digit, while the `HexDigit` parser matches a hexadecimal digit. The `UnicodeEscape` parser matches a Unicode escape sequence, which is used to represent Unicode characters in ErgoScript. The `HexNum` parser matches a positive hexadecimal number, while the `DecNum` parser matches a positive decimal number. The `Exp` parser matches the exponent part of a floating-point number. The `FloatType` parser matches the type suffix of a floating-point number. The `WSChars` parser matches a sequence of whitespace characters, while the `Newline` parser matches a newline character. The `Semi` parser matches a semicolon or one or more newline characters. + +The `OpChar` parser matches a single operation character, which is any character that can be used as an operator in ErgoScript. The `isOpChar` function defines the set of characters that are allowed as operators in ErgoScript. The `LetterDigitDollarUnderscore` parser matches any character that is allowed in an identifier in ErgoScript. The `Lower` parser matches a lowercase letter, dollar sign, or underscore, while the `Upper` parser matches an uppercase letter. + +The `error` function is used to throw a `ParserException` when a parsing error occurs. The `ParserException` class extends `CompilerException` and is used to represent errors that occur during parsing. + +The `Key` object contains parsers for ErgoScript keywords and key-operators. The `W` parser matches a keyword and ensures that subsequent characters do not match in order for it to be a keyword. The `O` parser matches a key-operator and stops early if it is followed by a comment so that the comment can be parsed separately. + +Overall, this code provides the basic building blocks for parsing ErgoScript code and generating an AST. It is an essential part of the larger project and enables the execution of ErgoScript contracts on the Ergo blockchain. +## Questions: + 1. What is the purpose of this code file? +- This code file contains basic lexical parsers for ErgoScript. + +2. What are some examples of characters allowed in identifiers and operations? +- Identifiers can contain letters, digits, dollar signs, and underscores. Operations can contain various symbols such as exclamation marks, percentages, and mathematical symbols. + +3. What is the purpose of the ParserException class? +- The ParserException class is used to throw an exception when there is an error in parsing the code, with an error message and source context descriptor. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.md new file mode 100644 index 0000000000..eed9948666 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Core.scala) + +The code provided is a part of the Sigmastate project and defines a trait called "Core". This trait contains a set of keywords and identifiers used in expressions. The purpose of this trait is to provide a set of common aliases and keywords that can be used in almost every parser in the file. + +The trait contains two methods, "mkUnaryOp" and "mkBinaryOp", which are used to construct ErgoTree unary and binary operations, respectively. These methods take an operation name and one or two values of SType, respectively, and return a value of SType. + +The trait also contains a set of aliases for common things such as keywords and symbols. These aliases are used in almost every parser in the file, so it makes sense to keep them short. For example, the keyword "type" is aliased as "type[_:P]", and the symbol "=>" is aliased as "`=>`[_:P]". + +The trait also defines several parsers for identifiers, literals, and other constructs used in expressions. For example, the parser "Id[_:P]" parses an identifier, and the parser "ExprLiteral[_:P]" parses an expression literal. + +Overall, the "Core" trait provides a set of common aliases and parsers that can be used throughout the project to simplify the parsing and construction of expressions. Here is an example of how the "mkUnaryOp" method might be used in the larger project: + +``` +val opName = "NOT" +val arg = builder.mkIdent("x", SBoolean) +val result = mkUnaryOp(opName, arg) +``` + +This code constructs a unary operation with the name "NOT" and the argument "x" of type SBoolean. The resulting value is of type SBoolean and can be used in further expressions. +## Questions: + 1. What is the purpose of the `Core` trait? +- The `Core` trait defines keywords and identifiers used in expressions and provides constructors for ErgoTree unary and binary operations. + +2. What is the purpose of the `PostDotCheck` method? +- The `PostDotCheck` method is used to whitelist a few suffixes that come after a `.` select. Everything else is considered illegal. + +3. What is the purpose of the `StableId` method? +- The `StableId` method defines a parser for stable identifiers, which are used to represent paths to objects and values in the program. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.md new file mode 100644 index 0000000000..4b89b223de --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Exprs.scala) + +This code defines a set of parsers for ErgoScript expressions, which are part of the Ergo blockchain platform. ErgoScript is a language used to write smart contracts on the Ergo platform. The parsers are implemented using the FastParse library and are organized in a trait called `Exprs`, which extends the `Core` and `Types` traits. + +The `Exprs` trait contains several parsers for different types of expressions, such as `BlockDef`, `If`, `Fun`, and `LambdaRhs`. These parsers are used to parse various ErgoScript constructs like variable definitions, if-else expressions, function definitions, and lambda expressions. The trait also provides utility methods like `mkInfixTree`, `applySuffix`, and `block` to build the abstract syntax tree (AST) for the parsed expressions. + +The code also defines a `WsCtx` class, which represents the parsing context for expressions. It has three derived classes: `StatCtx`, `ExprCtx`, and `FreeCtx`. These classes are used to handle different parsing scenarios, such as expressions used as statements, expressions nested within other expressions, and expressions directly within a `val x = ...` or `def x = ...`. + +An example of using these parsers in a larger project would be to parse ErgoScript code and generate an AST, which can then be used for further processing, such as type checking, optimization, or code generation. + +Here's an example of how the `Expr` parser can be used: + +```scala +val input = "if (x > 0) x * 2 else x / 2" +val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) +``` + +This code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST. +## Questions: + 1. **Question**: What is the purpose of the `WsCtx` class and its parameters `semiInference` and `arrowTypeAscriptions`? + **Answer**: The `WsCtx` class represents the parsing context of expressions. The `semiInference` parameter determines whether semicolon inference is enabled, and the `arrowTypeAscriptions` parameter determines whether arrow-type ascriptions like `i: a => b` are allowed in the current context. + +2. **Question**: How does the `mkInfixTree` function handle operator precedence when constructing the expression tree? + **Answer**: The `mkInfixTree` function uses a tail-recursive algorithm to build the expression tree while respecting operator precedence. It maintains a stack of waiting operations and iteratively processes the input list of operations, comparing the precedence of the current operation with the next one to decide whether to apply the current operation or push it onto the stack. + +3. **Question**: What is the purpose of the `priorityList` and `priorityMap` variables in the code? + **Answer**: The `priorityList` variable defines the precedence levels of infix operators based on their first character, with characters on the same line having the same precedence. The `priorityMap` variable is a derived map that associates each operator character with its precedence level, making it easier to look up the precedence of a given operator during expression tree construction. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.md new file mode 100644 index 0000000000..208cc1dbe7 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Identifiers.scala) + +The `Identifiers` object in the `sigmastate.lang.syntax` package provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. + +The `Identifiers` object defines several parsers for different types of identifiers. The `VarId` parser matches variable names, which must start with a lowercase letter and can contain letters, digits, and underscores. The `UppercaseId` parser matches type names, which must start with an uppercase letter and can contain letters, digits, and underscores. The `PlainId` parser matches any identifier that is not enclosed in backticks, including variable names, type names, and operators. The `PlainIdNoDollar` parser matches the same identifiers as `PlainId`, but does not allow dollar signs in variable names. The `BacktickId` parser matches any identifier enclosed in backticks, allowing it to contain any characters except backticks. + +The `Identifiers` object also defines parsers for operators and keywords. The `Operator` parser matches any operator symbol that is not a keyword, including arithmetic operators, comparison operators, and logical operators. The `Keywords` parser matches any keyword in the Sigma language, including `case`, `else`, `false`, `function`, `if`, `match`, `return`, `then`, and `true`. + +Overall, the `Identifiers` object is an important part of the Sigma language parser, allowing it to identify and parse different types of identifiers and keywords. It can be used in conjunction with other parsers in the `sigmastate.lang.syntax` package to parse Sigma code and generate an abstract syntax tree. + +Example usage: +``` +import fastparse._ +import sigmastate.lang.syntax.Identifiers._ + +val result = parse("x + y", PlainId(_)) +// result: Parsed.Success[Unit] = Success((), 5) + +val result2 = parse("if (x > y) then x else y", Keywords(_)) +// result2: Parsed.Failure = Failure("if (x > y) then x else y", 0) +``` +## Questions: + 1. What is the purpose of the `Identifiers` object? +- The `Identifiers` object defines parsers for identifiers and keywords in the syntax of a programming language. + +2. What is the difference between `VarId` and `PlainId`? +- `VarId` matches an identifier that starts with a lowercase letter, while `PlainId` matches an identifier that starts with an uppercase letter or an operator. + +3. What is the purpose of the `NamedFunction` case class? +- The `NamedFunction` case class is a helper wrapper that captures the name of the use site and provides a custom `toString` method for debugging purposes. It is used to define a function that takes a character and returns a boolean value. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.md new file mode 100644 index 0000000000..8906780f08 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/parsers/shared/src/main/scala/sigmastate/lang/syntax/Literals.scala) + +## Code Explanation: sigmastate.lang.syntax.Literals + +The `Literals` trait is a collection of parsers for literal expressions used in the Sigma programming language. The trait defines a set of methods that parse different types of literals, including integers, booleans, strings, and null values. The trait also defines a set of methods that parse different types of whitespace, including newlines, semicolons, and comments. + +The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the Sigma language. The `builder` field is an instance of the `SigmaBuilder` trait, which is used by the parsers to create ErgoTree expressions. The `atSrcPos` method sets the current source position (dynamic variable) and executes the given thunk. The `srcCtx` method creates a `SourceContext` object using the current input string and the given index. + +The `Block` method parses simple blocks of code enclosed in curly braces. The `Pattern` method parses patterns used in variable declarations. The `WS` method parses all whitespace, excluding newlines. The `WL0` method parses whitespace, including newlines. The `WL` method is a cut version of `WL0`. The `Semi` method parses semicolons. The `Semis` method parses one or more semicolons followed by whitespace. The `Newline` method parses newlines. The `NotNewline` method looks ahead for whitespace, but not newlines. The `OneNLMax` method parses one or more newlines followed by whitespace. The `TrailingComma` method parses an optional trailing comma. + +The `Int` method parses decimal or hex integers or longs. The `Bool` method parses boolean values. The `CommentChunk` method parses chunks of comments. The `MultilineComment` method parses multiline comments. The `SameLineCharChunks` method parses chunks of characters on the same line. The `LineComment` method parses line comments. The `Comment` method parses either multiline or line comments. The `Null` method parses null values. The `OctalEscape` method parses octal escape sequences. The `Escape` method parses escape sequences. The `Symbol` method parses symbols. The `Char` method parses character literals. + +The `InterpCtx` class is a helper class that defines methods for parsing interpolated strings. The `Literal` method parses literals used in interpolated strings. The `Interp` method parses interpolated expressions. The `TQ` method parses triple quotes. The `StringChars` method parses chunks of characters in a string. The `NonTripleQuoteChar` method parses non-triple quote characters. The `TripleChars` method parses chunks of characters in a triple-quoted string. The `TripleTail` method parses the tail of a triple-quoted string. The `SingleChars` method parses chunks of characters in a single-quoted string. The `String` method parses strings, including interpolated strings and triple-quoted strings. + +Overall, the `Literals` trait provides a set of parsers for literal expressions and whitespace that are used in other parts of the Sigma language. The trait is designed to be mixed in with other traits and classes that define parsers for different parts of the language. +## Questions: + 1. What is the purpose of the `Literals` object? +- The `Literals` object contains parsers for various literal expressions such as integers, booleans, and strings. + +2. What is the role of the `SigmaBuilder` instance in this code? +- The `SigmaBuilder` instance is used by the parsers in the `Literals` object to create ErgoTree expressions. + +3. What is the difference between `WL` and `WS` in this code? +- `WL` parses whitespace including newlines, while `WS` parses all whitespace excluding newlines. \ No newline at end of file diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.md new file mode 100644 index 0000000000..c43e0de3fe --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/lang/syntax/summary.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax) + +The `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate/lang/syntax` folder contains Scala code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The code is organized into several files, each providing specific functionality for parsing different aspects of the language. + +`Basic.scala` provides parsers for basic lexical elements, such as numbers, operators, and keywords. These parsers are essential building blocks for parsing ErgoScript code and generating an abstract syntax tree (AST). + +`Core.scala` defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. + +`Exprs.scala` defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. These parsers are used to parse various ErgoScript constructs and build the AST for the parsed expressions. + +`Identifiers.scala` provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. It defines several parsers for different types of identifiers, operators, and keywords. + +`Literals.scala` is a collection of parsers for literal expressions used in the Sigma programming language. It defines methods for parsing different types of literals, including integers, booleans, strings, and null values, as well as whitespace and comments. + +Here's an example of how the `Expr` parser from `Exprs.scala` can be used: + +```scala +val input = "if (x > 0) x * 2 else x / 2" +val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) +``` + +This code snippet would parse the input string containing an ErgoScript expression and return a parsed expression in the form of an AST. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/summary.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/summary.md new file mode 100644 index 0000000000..9f68bc6fb9 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/sigmastate/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate) + +The code in the `.autodoc/docs/json/parsers/shared/src/main/scala/sigmastate` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/scala/summary.md b/.autodoc/docs/markdown/parsers/shared/src/main/scala/summary.md new file mode 100644 index 0000000000..0c69396a04 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/scala/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main/scala) + +The code in the `.autodoc/docs/json/parsers/shared/src/main/scala` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/src/main/summary.md b/.autodoc/docs/markdown/parsers/shared/src/main/summary.md new file mode 100644 index 0000000000..d8df7eccd0 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/main/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src/main) + +The code in the `.autodoc/docs/json/parsers/shared/src/main` folder is responsible for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/src/summary.md b/.autodoc/docs/markdown/parsers/shared/src/summary.md new file mode 100644 index 0000000000..6907aa0173 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/src/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared/src) + +The code in the `.autodoc/docs/json/parsers/shared/src` folder plays a crucial role in parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/shared/summary.md b/.autodoc/docs/markdown/parsers/shared/summary.md new file mode 100644 index 0000000000..f0b593d0ee --- /dev/null +++ b/.autodoc/docs/markdown/parsers/shared/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers/shared) + +The code in the `.autodoc/docs/json/parsers/shared` folder is essential for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/parsers/summary.md b/.autodoc/docs/markdown/parsers/summary.md new file mode 100644 index 0000000000..0179dbd283 --- /dev/null +++ b/.autodoc/docs/markdown/parsers/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/parsers) + +The `.autodoc/docs/json/parsers` folder contains essential code for parsing ErgoScript, a scripting language used in the Ergo blockchain platform. The main entry point for parsing is the `SigmaParser.scala` file, which provides methods to parse ErgoScript code into ErgoTree expressions and SType (Sigma Type) objects. The `SigmaParser` object extends several traits, including `Exprs`, `Types`, and `Core`, which define methods for parsing ErgoScript expressions, types, and constructing ErgoTree nodes, respectively. + +For example, to parse a simple ErgoScript expression, you can use the following code: + +```scala +val code = "1 + 2" +val parsed = SigmaParser(code) +val tree = parsed.get.value +``` + +The `Types.scala` file provides parsers for type terms that can produce values of `SType`. The parsed type expressions are used to type-check ErgoScript code and to generate ErgoTree IR. Example usage: + +```scala +val input = "Int => Boolean" +val result = parse(input, Type(_)) +result.get // returns SFunc(Array(SInt), SBoolean) +``` + +The `shared/lang` subfolder contains several files for parsing ErgoScript: + +- `Basic.scala`: Provides parsers for basic lexical elements, such as numbers, operators, and keywords. +- `Core.scala`: Defines a trait called "Core" that contains common aliases and keywords used in almost every parser in the file. It also provides methods for constructing ErgoTree unary and binary operations. +- `Exprs.scala`: Defines a set of parsers for ErgoScript expressions, organized in a trait called `Exprs`. Example usage: + + ```scala + val input = "if (x > 0) x * 2 else x / 2" + val parsedExpr = fastparse.parse(input, Exprs.Expr(_)) + ``` + +- `Identifiers.scala`: Provides functionality for parsing and identifying identifiers and keywords in the Sigma programming language. +- `Literals.scala`: A collection of parsers for literal expressions used in the Sigma programming language. + +Overall, the code in this folder is crucial for parsing ErgoScript code and generating an AST, which can then be used for further processing, such as type checking, optimization, or code generation. The parsers are implemented using the FastParse library and are designed to work together to handle the various constructs and expressions found in ErgoScript. diff --git a/.autodoc/docs/markdown/profile-sbt.md b/.autodoc/docs/markdown/profile-sbt.md new file mode 100644 index 0000000000..3bbefe5b57 --- /dev/null +++ b/.autodoc/docs/markdown/profile-sbt.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/profile-sbt.sh) + +This code is a command that is used to run the Simple Build Tool (sbt) with a Java profiler called YourKit. The purpose of this command is to enable profiling of the Java code being built by sbt. + +Profiling is a technique used to analyze the performance of a program by measuring various metrics such as CPU usage, memory usage, and execution time. YourKit is a popular Java profiler that provides a range of features for profiling Java applications. By adding the YourKit profiler to sbt, developers can gain insights into the performance of their code and identify areas for optimization. + +The command starts by invoking sbt and passing it the -J-agentpath option, which specifies the path to the YourKit profiler library. The path is specific to the macOS operating system and may need to be modified for other platforms. Once sbt is running with the profiler attached, it will collect profiling data as the code is built and executed. + +Here is an example of how this command might be used in a larger project: + +``` +sbt -J-agentpath:/path/to/YourKit/libyjpagent.so clean compile test +``` + +This command would run sbt with the YourKit profiler attached and perform a clean build of the project, compile the code, and run the test suite. The profiling data collected during this process could then be analyzed using the YourKit profiler to identify performance bottlenecks and optimize the code. + +Overall, this command is a useful tool for developers who want to improve the performance of their Java code and ensure that it is running efficiently. +## Questions: + 1. What is the purpose of this code? + This code is used to configure the YourKit Java Profiler for use with the project. + +2. What is the significance of the "-J-agentpath" flag? + The "-J-agentpath" flag is used to specify the path to the YourKit Java Profiler agent library. + +3. Is this code specific to a certain operating system or version of the profiler? + Yes, this code is specific to the Mac operating system and the 2018.04 version of the YourKit Java Profiler. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.md new file mode 100644 index 0000000000..49185e00fa --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/ErgoScriptPredef.scala) + +The ErgoScriptPredef object contains two methods that are used in the larger Ergo platform project. The first method, `compileWithCosting`, takes in a `ScriptEnv`, a string of code, and a `NetworkPrefix` and returns a `Value[SType]`. This method compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter that is used by the `SigmaCompiler` to compile the code. + +The second method, `tokenThresholdScript`, takes in a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` and returns a `SigmaPropValue`. This method generates a script that can be used to determine if a given box can be spent by a transaction that contains at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script. + +Here is an example of how the `tokenThresholdScript` method can be used: + +``` +val tokenId: Array[Byte] = Array(1, 2, 3) +val thresholdAmount: Long = 1000 +val networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix + +val script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +This code generates a script that can be used to verify if a given box can be spent by a transaction that contains at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`. +## Questions: + 1. What is the purpose of the `ErgoScriptPredef` object? +- The `ErgoScriptPredef` object contains a method for compiling a script with costing and a method for generating a proposition for a box that can be spent by a transaction with a certain token threshold. + +2. What is the significance of the `tokenId` and `thresholdAmount` parameters in the `tokenThresholdScript` method? +- The `tokenId` parameter specifies the ID of the token that is being checked for in the box inputs, while the `thresholdAmount` parameter specifies the minimum amount of that token required for the box to be spendable. + +3. What is the purpose of the `sigmaProp` function in the `tokenThresholdScript` method? +- The `sigmaProp` function is used to generate a `SigmaPropValue` that represents the proposition for the spendable box, based on the total amount of the specified token in the input boxes meeting the threshold requirement. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.md new file mode 100644 index 0000000000..209c8063c4 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSpec.scala) + +The code defines a set of traits and objects that can be used to specify and interact with smart contracts on the Ergo blockchain platform. The `ContractSpec` trait is the main entry point, and it defines several sub-traits and objects that can be used to specify the various components of a smart contract. + +The `PropositionSpec` trait represents the logical proposition that must be satisfied in order to spend a given box on the blockchain. It defines a `name` field, which is a human-readable name for the proposition, a `dslSpec` field, which is a specification of the proposition in the Sigma programming language, and a `scriptSpec` field, which is a specification of the proposition in the ErgoScript language. It also defines an `ergoTree` field, which is the compiled form of the proposition that can be included in a transaction. + +The `ProvingParty` trait represents a participant in a blockchain scenario who can generate a proof for a given input box. It defines a `pubKey` field, which is the public key of the party represented as a Sigma protocol proposition, and a `prove` method, which generates a proof for the given input box. + +The `VerifyingParty` trait represents a participant in a blockchain scenario who can verify a proof generated by a `ProvingParty`. It defines a `verify` method, which takes an input box and a prover result and returns a boolean indicating whether the proof is valid. + +The `InputBox` trait represents an input box in a transaction. It defines a `tx` field, which is the transaction candidate that contains the box, a `utxoBox` field, which is the output box that the input box is spending, a `runDsl` method, which evaluates the proposition of the input box in the given context, and a `toErgoContext` method, which converts the input box to an ErgoLikeContext that can be used in the ErgoScript language. + +The `OutBox` trait represents an output box in a transaction. It defines an `id` field, which is the identifier of the box, a `tx` field, which is the transaction candidate that contains the box, a `boxIndex` field, which is the index of the box in the transaction, a `value` field, which is the value of the box in nanoErgs, a `propSpec` field, which is the specification of the proposition that must be satisfied to spend the box, a `withTokens` method, which adds tokens to the box, a `withRegs` method, which adds registers to the box, a `token` method, which retrieves a token from the box, and an `ergoBox` field, which is the compiled form of the box that can be included in a transaction. + +The `TransactionCandidate` trait represents a transaction that is being constructed. It defines a `block` field, which is the block candidate that contains the transaction, `dataInputs` and `inputs` fields, which are the input boxes of the transaction, `outputs` field, which are the output boxes of the transaction, an `inBox` method, which retrieves an input box from the transaction given its output box, an `outBox` method, which creates a new output box for the transaction, a `spending` method, which adds input boxes to the transaction, and a `withDataInputs` method, which adds data input boxes to the transaction. + +The `ChainTransaction` trait represents a transaction that has been confirmed on the blockchain. It defines an `outputs` field, which are the output boxes of the transaction. + +The `ChainBlock` trait represents a block that has been confirmed on the blockchain. It defines a `getTransactions` method, which retrieves the transactions in the block. + +Finally, the code defines a `MinErgValue` constant, which is the minimum value that can be stored in an Ergo box, and an `error` method, which throws an exception with the given message. +## Questions: + 1. What is the purpose of this code? +- This code defines traits and objects for a blockchain scenario (protocol) and provides functionality for creating and manipulating input and output boxes, transactions, and blocks. + +2. What external libraries or dependencies does this code use? +- This code imports classes and objects from the `org.ergoplatform`, `sigmastate`, `scalan`, and `special.sigma` packages. + +3. What is the significance of the `ProvingParty` and `VerifyingParty` traits? +- These traits represent participants in the blockchain scenario who can generate and verify proofs for input boxes, respectively. They both extend the `ProtocolParty` trait, which defines a human-readable name for the participant. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.md new file mode 100644 index 0000000000..efb3aad975 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.md @@ -0,0 +1,16 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ContractSyntax.scala) + +The code defines a set of methods and classes to be used in contract implementations based on SigmaContract. The ContractSyntax trait defines the methods that can be used in the implementation of SigmaContract. The trait extends SigmaContract and overrides the builder method to return a CostingSigmaDslBuilder. It also defines a contract environment that should be defined in SigmaContract implementations. The trait provides a helper method to support Scala <-> ErgoScript equivalence. The proposition method is used to define propositions in SigmaContract implementations. It takes the name of the proposition, a Scala lambda of type Proposition which defines contract semantics and can be executed directly, and the ErgoScript representation of the contract. It returns a proposition specification with compiled ErgoTree. The Env method creates a new environment with the given named constants. + +The SigmaContractSyntax trait extends SigmaContract and ContractSyntax. It defines two implicit classes that provide logical AND and OR between Boolean and SigmaProp values. + +This code can be used in the larger project to define and implement contracts based on SigmaContract. The ContractSyntax trait provides a set of methods that can be used to define and implement contracts. The SigmaContractSyntax trait extends ContractSyntax and provides additional methods to define contracts. The code can be used to define and implement contracts in the project, which can be used to verify transactions. The code can also be used to create new environments with named constants. +## Questions: + 1. What is the purpose of the `ContractSyntax` trait and how is it used in the project? +- The `ContractSyntax` trait defines methods to be used in contract implementations based on `SigmaContract`. It is used as a mixin trait with `SigmaContractSyntax` to provide additional functionality to `SigmaContract`. + +2. What is the purpose of the `proposition` method and how is it used? +- The `proposition` method is used to define propositions in `SigmaContract` implementations. It takes in a name, a Scala lambda of type `Proposition`, a string representation of the contract in ErgoScript, and an optional script version. It returns a proposition specification with a compiled ErgoTree. + +3. What is the purpose of the `BooleanSyntax` class and how is it used? +- The `BooleanSyntax` class provides logical AND and OR operations between a Boolean on the left and a `SigmaProp` value on the right. It is used as an implicit class in `SigmaContractSyntax` to provide additional syntax for `SigmaProp` operations. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.md new file mode 100644 index 0000000000..3440088ccc --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/ErgoContractSpec.scala) + +The ErgoContractSpec class is a part of the Ergo Platform DSL (Domain Specific Language) project. This class provides a set of methods and traits that can be used to define and interact with Ergo contracts. + +The ErgoContractSpec class extends the ContractSpec trait and imports several classes and traits from other packages. The class defines a case class called ErgoOutBox, which extends the OutBox trait. The ErgoOutBox class represents an output box in an Ergo transaction. It contains information about the transaction candidate, the index of the box in the transaction, the value of the box, and the proposition specification. The ErgoOutBox class also provides methods to manipulate the box's tokens and registers. + +The ErgoContractSpec class also defines a trait called TransactionContext, which provides methods to interact with an Ergo transaction. The trait has three methods: block, attachProof, and submit. The block method returns the block candidate associated with the transaction. The attachProof method attaches proofs to the transaction. The submit method submits the transaction to the network. + +The ErgoContractSpec class also provides several utility methods to interact with the Ergo blockchain. The getBlock method returns the block candidate at a given height. The getBoxesByParty method returns a sequence of output boxes associated with a given protocol party. The getBoxById method returns an output box with a given ID. + +Finally, the ErgoContractSpec class overrides two methods from the ContractSpec trait: mkPropositionSpec and mkProvingParty. The mkPropositionSpec method creates a proposition specification from a DSL specification and an ErgoScript. The mkProvingParty method creates a proving party with a given name. + +Overall, the ErgoContractSpec class provides a set of methods and traits that can be used to define and interact with Ergo contracts. It provides utility methods to interact with the Ergo blockchain and defines a case class to represent output boxes in Ergo transactions. +## Questions: + 1. What is the purpose of this code and what project is it a part of? +- This code is a part of a project called `org.ergoplatform.dsl` and it defines classes and traits related to Ergo contracts and transactions. + +2. What is the `ErgoOutBox` class and what methods does it override? +- `ErgoOutBox` is a case class that represents an output box in an Ergo transaction. It overrides methods for getting the box ID, adding tokens and registers to the box, getting a specific token, and getting the underlying Ergo box. + +3. What is the purpose of the `TransactionContext` trait and what methods does it define? +- The `TransactionContext` trait defines methods for accessing the current block, attaching proofs to input boxes, and submitting the transaction. It is used to manage the context of a transaction being constructed. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.md new file mode 100644 index 0000000000..bee21a9e5d --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/org/ergoplatform/dsl/StdContracts.scala) + +The code above defines a trait called `StdContracts` which provides two methods for transferring assets in a transaction. The trait extends another trait called `ContractSyntax` which is not shown in this code snippet. + +The first method, `transferErgWithChange`, takes in a `TransactionCandidate` object, an `OutBox` object representing the source of the Ergs, a `PropositionSpec` object representing the destination of the Ergs, and a `Long` value representing the amount of Ergs to transfer. The method returns a tuple containing an `OutBox` object representing the destination box and an optional `OutBox` object representing the change box. + +The method first calculates the amount of Erg change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough Ergs in the source box to complete the transfer. If the change is positive, a new `OutBox` object is created to represent the change box. + +The destination box is then created using the `outBox` method of the `TransactionCandidate` object with the specified Erg amount and destination `PropositionSpec`. The method returns the destination box and the change box (if it exists). + +The second method, `transferTokenWithChange`, is similar to the first method but also includes the transfer of a specified token amount. The method takes in a `Token` object representing the token to transfer in addition to the other parameters. + +The method first calculates the amount of token change that will be returned to the source box after the transfer. If the change is negative, an error is thrown indicating that there are not enough tokens in the source box to complete the transfer. The method then calculates the amount of Erg change that will be returned to the source box after the transfer. If the Erg change is less than the minimum Erg value, an error is thrown indicating that there are not enough Ergs in the source box to create two boxes. + +The destination box is then created using the `outBox` method of the `TransactionCandidate` object with the minimum Erg value and destination `PropositionSpec`. The token amount is added to the destination box using the `withTokens` method. If there is Erg change, a new `OutBox` object is created to represent the change box. The method returns the destination box and the change box (if it exists). + +These methods can be used in the larger project to facilitate the transfer of Ergs and tokens between boxes in a transaction. The methods provide a convenient way to calculate the change that will be returned to the source box after the transfer. Developers can use these methods to simplify the process of creating transactions that involve the transfer of assets. + +Example usage: + +``` +val tx = new TransactionCandidate() +val fromBox = new OutBox(...) +val toSpec = new PropositionSpec(...) +val ergAmt = 1000000L +val tokenAmt = new Token(...) +val (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt) +``` +## Questions: + 1. What is the purpose of the `StdContracts` trait? +- The `StdContracts` trait defines two methods for transferring Erg and tokens between `OutBox`es in a `TransactionCandidate`. + +2. What is the role of the `ContractSyntax` trait? +- The `ContractSyntax` trait is a dependency of `StdContracts` and provides access to the `spec` object used in the transfer methods. + +3. What is the significance of the `error` method calls in the transfer methods? +- The `error` method calls are used to throw an exception if there are insufficient funds or tokens to complete the transfer, preventing the transaction from being included in the blockchain. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/summary.md new file mode 100644 index 0000000000..b734d7f055 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/dsl/summary.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl) + +The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains Scala code for defining and interacting with smart contracts on the Ergo blockchain platform. The code is organized into several files, each focusing on a specific aspect of contract interaction. + +`ContractSpec.scala` provides the main entry point for specifying and interacting with smart contracts. It defines several traits and objects, such as `PropositionSpec`, `ProvingParty`, `VerifyingParty`, `InputBox`, `OutBox`, `TransactionCandidate`, `ChainTransaction`, and `ChainBlock`. These traits and objects represent various components of a smart contract and provide methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. + +`ContractSyntax.scala` extends the `SigmaContract` and provides methods and classes for contract implementations. It defines the `ContractSyntax` trait, which offers methods for creating propositions and environments. The `SigmaContractSyntax` trait extends `ContractSyntax` and provides additional methods for defining contracts using logical AND and OR operations between Boolean and SigmaProp values. + +`ErgoContractSpec.scala` extends the `ContractSpec` trait and provides methods and traits for defining and interacting with Ergo contracts. It defines the `ErgoOutBox` case class, which represents an output box in an Ergo transaction, and the `TransactionContext` trait, which provides methods for interacting with Ergo transactions. Additionally, it offers utility methods for interacting with the Ergo blockchain, such as `getBlock`, `getBoxesByParty`, and `getBoxById`. + +`StdContracts.scala` defines the `StdContracts` trait, which provides methods for transferring assets (Ergs and tokens) in a transaction. The methods `transferErgWithChange` and `transferTokenWithChange` facilitate the transfer of Ergs and tokens between boxes in a transaction while calculating the change returned to the source box. + +Example usage: + +```scala +val tx = new TransactionCandidate() +val fromBox = new OutBox(...) +val toSpec = new PropositionSpec(...) +val ergAmt = 1000000L +val tokenAmt = new Token(...) +val (destBox, changeBox) = transferTokenWithChange(tx, fromBox, toSpec, tokenAmt) +``` + +In summary, this folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. Developers can use the provided traits, objects, and methods to create, prove, verify, and interact with Ergo contracts and transactions. The code also offers utility methods for transferring assets and interacting with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/summary.md new file mode 100644 index 0000000000..312dc334a4 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/ergoplatform/summary.md @@ -0,0 +1,21 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org/ergoplatform) + +The code in the `ErgoScriptPredef.scala` file provides utility methods for compiling ErgoScript code and generating a script to check if a given box can be spent by a transaction containing a specific token amount. These methods are useful for developers working with the Ergo platform, as they simplify the process of creating and verifying scripts for transactions. + +The `compileWithCosting` method takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. It compiles the given code using the `SigmaCompiler` and returns the resulting compiled code as a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes. + +The `tokenThresholdScript` method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. It generates a script that can be used to determine if a given box can be spent by a transaction containing at least `thresholdAmount` of the specified `tokenId`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. The resulting script checks if the sum of the token amounts is greater than or equal to the `thresholdAmount` and returns a `SigmaPropValue` that can be used to verify the script. + +Example usage: + +```scala +val tokenId: Array[Byte] = Array(1, 2, 3) +val thresholdAmount: Long = 1000 +val networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix + +val script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +This code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`. + +The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/org/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/org/summary.md new file mode 100644 index 0000000000..a761d599e4 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/org/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/org) + +The `ErgoScriptPredef.scala` file in the `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform` folder provides utility methods for working with ErgoScript code on the Ergo platform. These methods simplify the process of creating and verifying scripts for transactions, making it easier for developers to interact with the Ergo blockchain. + +The `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. It takes a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returns a `Value[SType]`. The `IRContext` is an implicit parameter used by the `SigmaCompiler` to compile the code. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes. + +Example usage: + +```scala +val scriptEnv: ScriptEnv = ... +val code: String = "..." +val networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix + +val compiledCode: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix) +``` + +The `tokenThresholdScript` method generates a script that checks if a given box can be spent by a transaction containing a specific token amount. It takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. The code for the script is a combination of three different versions, each of which uses different methods to calculate the sum of the token amounts. + +Example usage: + +```scala +val tokenId: Array[Byte] = Array(1, 2, 3) +val thresholdAmount: Long = 1000 +val networkPrefix: NetworkPrefix = NetworkPrefix.MainnetPrefix + +val script: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +This code generates a script that can be used to verify if a given box can be spent by a transaction containing at least 1000 of the token with ID 010203. The resulting script is stored in the `script` variable as a `SigmaPropValue`. + +The `.autodoc/docs/json/sc/src/main/scala/org/ergoplatform/dsl` folder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/CompilerReflection.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/CompilerReflection.md new file mode 100644 index 0000000000..e64b758229 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/CompilerReflection.md @@ -0,0 +1,16 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/CompilerReflection.scala) + +The code provided is a Scala file that imports two packages, `sigmastate` and `wrappers.scala.WOptions`, and defines an object called `CompilerReflection`. The purpose of this code is not immediately clear, as the object is empty and there are no methods or classes defined within it. However, it is possible that this file is intended to be used as a placeholder for future code related to compiler reflection. + +The `sigmastate` package is likely related to the Sigma protocol, which is a cryptographic protocol used for privacy-preserving transactions. The `wrappers.scala.WOptions` package is likely related to options for the Scala programming language. It is possible that this file is intended to be used in a larger project related to the Sigma protocol and Scala programming. + +The `registerClassEntry` and `SRMethod` methods from the `scalan.reflection.CommonReflection` package are not used in this file, but they are likely intended to be used in future code related to compiler reflection. These methods are used for registering class entries and methods in a reflection system, respectively. + +Overall, this code file appears to be a placeholder for future code related to compiler reflection in a larger project related to the Sigma protocol and Scala programming. Without additional context or code, it is difficult to provide a more detailed explanation of the purpose of this file. +## Questions: + 1. What is the purpose of the `sigmastate` package? + - The `sigmastate` package likely contains code related to the Sigma protocol, but without more context it's difficult to determine its exact purpose. +2. What is the significance of the `registerClassEntry` method from the `CommonReflection` object? + - The `registerClassEntry` method is likely used to register a class with the reflection system, allowing it to be accessed and manipulated at runtime. +3. What is the purpose of the `CompilerReflection` object? + - Without any code inside the `CompilerReflection` object, it's unclear what its purpose is. It may be intended to contain reflection-related code specific to the compiler. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/IRContext.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/IRContext.md new file mode 100644 index 0000000000..c028ed7c98 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/IRContext.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/IRContext.scala) + +The code provided is a part of the SigmaState project and defines an IRContext trait and two classes, RuntimeIRContext and CompiletimeIRContext, that extend it. The IRContext trait provides methods and values that are used to build and manipulate SigmaState's intermediate representation (IR) of smart contracts. + +The IRContext trait extends two other traits, TreeBuilding and GraphBuilding, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the SigmaProp object, which contains methods for creating and manipulating SigmaState's signature propositions. + +The trait defines a builder value that is used to construct the IR, and a lazy value that defines a pass configuration that turns off constant propagation. The trait also defines two methods, findIsProven and verifyIsProven, that are used to check if a given lambda expression contains a call to the SigmaProp.isProven method and to verify that the call is the last operation in the lambda's schedule. + +The RuntimeIRContext and CompiletimeIRContext classes extend the IRContext trait and are used in different contexts. The RuntimeIRContext is used by blockchain nodes to validate transactions, while the CompiletimeIRContext is used by script development tools to compile ErgoScript into ErgoTree bytecode. + +Overall, the code provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The IRContext trait and its subclasses are essential components of the SigmaState project and are used extensively throughout the codebase. + +Example usage: + +``` +val context = new RuntimeIRContext() +val lambda = context.builder.lambda { (ctx: Context) => + val input = ctx.INPUTS(0) + val output = ctx.OUTPUTS(0) + SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes) +} +context.verifyIsProven(lambda) // returns Success(()) +``` +## Questions: + 1. What is the purpose of the `IRContext` trait and its two subclasses `RuntimeIRContext` and `CompiletimeIRContext`? + + The `IRContext` trait defines methods and values related to building and manipulating Sigma protocols. `RuntimeIRContext` is used for validating transactions on the blockchain, while `CompiletimeIRContext` is used for compiling ErgoScript into ErgoTree bytecode during script development. + +2. What is the purpose of the `noConstPropagationPass` value? + + `noConstPropagationPass` is a configuration value used to turn off constant propagation during a pass. It is used in the `beginPass` method to disable constant propagation for a specific pass. + +3. What is the purpose of the `verifyIsProven` method? + + `verifyIsProven` checks that if `SigmaProp.isProven` method calls exist in the given Lambda's schedule, then it is the last operation. This is important for ensuring that the proof system is used correctly. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/TreeBuilding.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/TreeBuilding.md new file mode 100644 index 0000000000..9f3fcd5c5b --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/TreeBuilding.md @@ -0,0 +1,23 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/eval/TreeBuilding.scala) + +The `TreeBuilding` trait is responsible for transforming a graph-based intermediate representation (IR) of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. This trait is a part of the SigmaState project, which is a core component of the Ergo Platform. + +The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`. + +The trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression. + +The `processAstGraph` method is responsible for transforming an AstGraph node (Lambda or Thunk) into the corresponding ErgoTree node. It is mutually recursive with the `buildValue` method, which transforms a given graph node into the corresponding ErgoTree node. These two methods form the core of the recursive algorithm required by the `buildTree` method. + +In summary, the `TreeBuilding` trait is a crucial component in the SigmaState project, as it enables the conversion of graph-based IR functions into ErgoTree expressions, which are used to represent complex spending conditions in the Ergo Platform. +## Questions: + 1. **Question**: What is the purpose of the `TreeBuilding` trait and how does it work? + + **Answer**: The `TreeBuilding` trait is responsible for transforming a given function from a graph-based intermediate representation (IR) to an ErgoTree expression. It does this by recursively processing the graph nodes and building the corresponding ErgoTree nodes using various helper methods and pattern matching. + +2. **Question**: What is the role of the `buildValue` method in the `TreeBuilding` trait? + + **Answer**: The `buildValue` method is responsible for transforming a given graph node into the corresponding ErgoTree node. It is mutually recursive with the `processAstGraph` method and is part of the recursive algorithms required by the `buildTree` method. + +3. **Question**: How does the `constantsProcessing` parameter affect the behavior of the `buildTree` method? + + **Answer**: The `constantsProcessing` parameter, when set to `Some(store)`, segregates each constant in the resulting expression and inserts a placeholder for it. This is useful for optimizing the resulting ErgoTree expression by separating constants from the main expression. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/summary.md new file mode 100644 index 0000000000..88172344e0 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/eval/summary.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/eval) + +The `.autodoc/docs/json/sc/src/main/scala/sigmastate/eval` folder contains essential components for building and manipulating SigmaState's intermediate representation (IR) of smart contracts in the Ergo blockchain. The folder includes two files: `IRContext.scala` and `TreeBuilding.scala`. + +`IRContext.scala` defines the `IRContext` trait, which provides methods and values for building and manipulating the IR of smart contracts. It extends two other traits, `TreeBuilding` and `GraphBuilding`, which provide methods for building and manipulating the IR's abstract syntax tree and control flow graph, respectively. The trait also imports the `SigmaProp` object, which contains methods for creating and manipulating SigmaState's signature propositions. + +The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode. + +Example usage: + +```scala +val context = new RuntimeIRContext() +val lambda = context.builder.lambda { (ctx: Context) => + val input = ctx.INPUTS(0) + val output = ctx.OUTPUTS(0) + SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes) +} +context.verifyIsProven(lambda) // returns Success(()) +``` + +`TreeBuilding.scala` contains the `TreeBuilding` trait, which is responsible for transforming a graph-based IR of a function into an ErgoTree expression. ErgoTree is a language used in Ergo Platform to represent complex spending conditions for a transaction output. The main function of this trait is `buildTree`, which takes a function `f` from graph-based IR and an optional `constantsProcessing` parameter. If `constantsProcessing` is specified, each constant is segregated, and a placeholder is inserted in the resulting expression. The `buildTree` function returns an ErgoTree expression that corresponds to the input function `f`. + +The trait contains several helper objects and methods to process different types of operations, such as arithmetic, relational, logical, and context property operations. These helper objects and methods are used in the recursive process of building the ErgoTree expression. + +In summary, the code in this folder provides a set of tools and methods for building and manipulating SigmaState's IR, which is used to represent smart contracts in the Ergo blockchain. The `IRContext` trait and its subclasses, along with the `TreeBuilding` trait, are essential components of the SigmaState project and are used extensively throughout the codebase. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaBinder.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaBinder.md new file mode 100644 index 0000000000..f4d550f792 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaBinder.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaBinder.scala) + +The code in this file is part of the Sigma programming language implementation and provides a class called `SigmaBinder` that is responsible for resolving references to global names and inferring their types. The class takes an instance of `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `ScriptEnv` is a map of global names to their values, while `SigmaBuilder` is used to construct the AST of the program. `NetworkPrefix` is used to decode an Ergo address from a string, and `PredefinedFuncRegistry` is a registry of predefined functions. + +The `SigmaBinder` class has a single public method called `bind` that takes an `SValue` as input and returns a new `SValue` with all references to global names resolved and their types inferred. The `bind` method calls the private `eval` method to perform the actual rewriting of the AST. The `eval` method uses the Kiama library to traverse the AST and apply a set of rules to rewrite it. The rules include resolving references to global names, inferring their types, and rewriting lambda expressions, collections, and other constructs. + +The `SigmaBinder` class also includes an object called `SrcCtxCallbackRewriter` that extends the `CallbackRewriter` trait. This object is used to rewrite the source context of an `SValue` when it is replaced by a new `SValue`. This is done to preserve the source context of the original `SValue` in the new `SValue`. + +Overall, the `SigmaBinder` class is an important component of the Sigma programming language implementation that is used to resolve references to global names and infer their types. It is used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors. +## Questions: + 1. What is the purpose of the `SigmaBinder` class? +- The `SigmaBinder` class is used to rewrite the AST with respect to the environment to resolve all references to global names and infer their types. + +2. What is the purpose of the `SrcCtxCallbackRewriter` object? +- The `SrcCtxCallbackRewriter` object is used to rewrite the source context of a new term to match the source context of the old term. + +3. What are some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class? +- Some of the predefined global names that can be referenced in the `eval` method of the `SigmaBinder` class include `HEIGHT`, `MinerPubkey`, `INPUTS`, `OUTPUTS`, `LastBlockUtxoRootHash`, `EmptyByteArray`, `SELF`, `CONTEXT`, `Global`, and `None`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaCompiler.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaCompiler.md new file mode 100644 index 0000000000..ca1a8e24b4 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaCompiler.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaCompiler.scala) + +The `SigmaCompiler` class in the `sigmastate.lang` package is responsible for compiling ErgoScript source code into executable code. The class takes in a `CompilerSettings` object that specifies the network prefix, builder, and whether to lower method calls. The `SigmaCompiler` class has several methods that parse, typecheck, and compile ErgoScript code. + +The `parse` method takes in a string of ErgoScript source code and returns an expression tree. The `typecheck` method takes in a `ScriptEnv` object and a parsed expression tree and assigns types to all sub-expressions. The `compile` method takes in a `ScriptEnv` object and a string of ErgoScript source code and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. The `compileTyped` method takes in a `ScriptEnv` object and a typed expression and returns a `CompilerResult` object that contains the compiled code, the compiled graph, and the expression tree obtained from the graph created by `GraphBuilding`. + +The `unlowerMethodCalls` method is used to lower MethodCall nodes to ErgoTree nodes. This is done when `lowerMethodCalls` is set to true in the `CompilerSettings` object. The method takes in an expression tree and returns a modified expression tree where MethodCall nodes have been replaced with ErgoTree nodes. + +The `SigmaCompiler` class is used in the larger project to compile ErgoScript source code into executable code. It is used by other classes and methods in the project that need to execute ErgoScript code. For example, it may be used by a smart contract that needs to execute ErgoScript code to validate a transaction. + +Example usage: + +``` +val settings = CompilerSettings(NetworkPrefix.Testnet) +val compiler = SigmaCompiler(settings) +val env = ScriptEnv.Empty +val code = "HEIGHT > 1000" +val result = compiler.compile(env, code) +val compiledCode = result.code +val compiledGraph = result.compiledGraph +val buildTree = result.buildTree +``` +## Questions: + 1. What is the purpose of the `SigmaCompiler` class? +- The `SigmaCompiler` class is used to parse, typecheck, and compile ErgoScript source code, and to unlower method calls. + +2. What is the significance of the `CompilerSettings` case class? +- The `CompilerSettings` case class contains settings for the `SigmaCompiler`, such as the network prefix, builder, and whether to lower method calls. + +3. What is the purpose of the `unlowerMethodCalls` method? +- The `unlowerMethodCalls` method is used to convert lowered method calls back into their original form, such as converting a `MapCollection` node to a `MethodCall` node with the `MapMethod`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaTyper.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaTyper.md new file mode 100644 index 0000000000..c89d513298 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/SigmaTyper.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sc/src/main/scala/sigmastate/lang/SigmaTyper.scala) + +The `SigmaTyper` class is responsible for type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function of this class is `assignType`, which takes an environment, a bound value, and an optional expected type as input parameters. It recursively traverses the input expression tree and assigns types to each node, checking for type consistency and correctness. + +The `assignType` function handles various cases, such as: + +- `Block`: It processes a block of expressions, updating the environment with new variable bindings and their types. +- `Tuple`: It assigns types to each element of the tuple. +- `ConcreteCollection`: It assigns types to each element of the collection and ensures that all elements have the same type. +- `Ident`: It looks up the type of the identifier in the environment or the global method registry. +- `Select`: It assigns types to the object and its fields, handling method calls and property access. +- `Lambda`: It assigns types to the lambda function's arguments and body, ensuring that the declared return type matches the inferred type of the body. +- `Apply`: It assigns types to the function and its arguments, ensuring that the function's argument types match the expected types. +- `ApplyTypes`: It assigns types to the input expression and checks that the number of type arguments matches the expected number of type parameters. +- `If`: It assigns types to +## Questions: + 1. **Question**: What is the purpose of the `SigmaTyper` class? + **Answer**: The `SigmaTyper` class is responsible for type inference and analysis for Sigma expressions. It checks constituent names and types, and uses the environment map to resolve bound variables and their types. + +2. **Question**: How does the `assignType` method work? + **Answer**: The `assignType` method takes an environment, a bound value, and an optional expected type as input. It recursively processes the bound value based on its structure and assigns appropriate types to its constituents, using the environment to resolve variables and their types. + +3. **Question**: What is the role of the `predefinedEnv` variable in the `SigmaTyper` class? + **Answer**: The `predefinedEnv` variable is a map that holds the predefined functions and their corresponding types. It is used by the `assignType` method to resolve variables and their types during type inference and analysis. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/summary.md new file mode 100644 index 0000000000..3404a35e65 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/lang/summary.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate/lang) + +The `sigmastate.lang` package in the `.autodoc/docs/json/sc/src/main/scala` folder contains essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. + +`SigmaBinder.scala` provides the `SigmaBinder` class, which resolves references to global names and infers their types. It takes a `ScriptEnv`, `SigmaBuilder`, `NetworkPrefix`, and `PredefinedFuncRegistry` as input parameters. The `bind` method is the main public method that takes an `SValue` as input and returns a new `SValue` with resolved references and inferred types. This class is crucial for ensuring that Sigma programs are well-typed and error-free. + +`SigmaCompiler.scala` is responsible for compiling ErgoScript source code into executable code. It takes a `CompilerSettings` object as input and provides methods for parsing, typechecking, and compiling ErgoScript code. The `compile` method returns a `CompilerResult` object containing the compiled code, graph, and expression tree. This class is used by other parts of the project that need to execute ErgoScript code, such as smart contracts validating transactions. + +Example usage: + +```scala +val settings = CompilerSettings(NetworkPrefix.Testnet) +val compiler = SigmaCompiler(settings) +val env = ScriptEnv.Empty +val code = "HEIGHT > 1000" +val result = compiler.compile(env, code) +val compiledCode = result.code +val compiledGraph = result.compiledGraph +val buildTree = result.buildTree +``` + +`SigmaTyper.scala` handles type inference and analysis of Sigma expressions. It takes a `SigmaBuilder`, `PredefinedFuncRegistry`, and a `lowerMethodCalls` flag as input parameters. The main function, `assignType`, recursively traverses the input expression tree, assigns types to each node, and checks for type consistency and correctness. This class is essential for ensuring that Sigma programs are well-typed and error-free. + +In summary, the `sigmastate.lang` package provides essential components for the Sigma programming language implementation, focusing on compiling, type inference, and binding of global names. These components are used extensively throughout the Sigma compiler and runtime to ensure that programs are well-typed and free of errors. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/summary.md new file mode 100644 index 0000000000..517a44f81e --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/sigmastate/summary.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala/sigmastate) + +The `sigmastate` folder in the `.autodoc/docs/json/sc/src/main/scala` directory contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. + +The `CompilerReflection.scala` file is a placeholder for future code related to compiler reflection in the larger project. It imports the `sigmastate` and `wrappers.scala.WOptions` packages, which are related to the Sigma protocol and Scala programming options, respectively. + +The `eval` subfolder contains the `IRContext.scala` and `TreeBuilding.scala` files, which provide methods and values for building and manipulating the IR of smart contracts in the Ergo blockchain. The `IRContext` trait is extended by two classes, `RuntimeIRContext` and `CompiletimeIRContext`, which are used in different contexts. The `RuntimeIRContext` is used by blockchain nodes to validate transactions, while the `CompiletimeIRContext` is used by script development tools to compile ErgoScript into ErgoTree bytecode. + +Example usage: + +```scala +val context = new RuntimeIRContext() +val lambda = context.builder.lambda { (ctx: Context) => + val input = ctx.INPUTS(0) + val output = ctx.OUTPUTS(0) + SigmaProp.isProven(input.propositionBytes) && !SigmaProp.isProven(output.propositionBytes) +} +context.verifyIsProven(lambda) // returns Success(()) +``` + +The `lang` subfolder contains the `SigmaBinder.scala`, `SigmaCompiler.scala`, and `SigmaTyper.scala` files, which are essential components for the Sigma programming language implementation. The `SigmaBinder` class resolves references to global names and infers their types, while the `SigmaCompiler` class compiles ErgoScript source code into executable code. The `SigmaTyper` class handles type inference and analysis of Sigma expressions. + +Example usage: + +```scala +val settings = CompilerSettings(NetworkPrefix.Testnet) +val compiler = SigmaCompiler(settings) +val env = ScriptEnv.Empty +val code = "HEIGHT > 1000" +val result = compiler.compile(env, code) +val compiledCode = result.code +val compiledGraph = result.compiledGraph +val buildTree = result.buildTree +``` + +In summary, the code in the `sigmastate` folder provides essential components for the Sigma protocol implementation in the Ergo blockchain, focusing on building and manipulating the IR of smart contracts and the Sigma programming language. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. diff --git a/.autodoc/docs/markdown/sc/src/main/scala/summary.md b/.autodoc/docs/markdown/sc/src/main/scala/summary.md new file mode 100644 index 0000000000..d6152b4366 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/scala/summary.md @@ -0,0 +1,13 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main/scala) + +The code in the `.autodoc/docs/json/sc/src/main/scala` folder focuses on providing essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It contains utility methods for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform. + +One of the key files in this folder is `ErgoScriptPredef.scala`, which provides utility methods for working with ErgoScript code. For example, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`, taking a `ScriptEnv`, a string of code, and a `NetworkPrefix` as input and returning a `Value[SType]`. This method can be used to compile ErgoScript code for various purposes, such as creating custom spending conditions for boxes. + +Another important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method takes a `tokenId`, a `thresholdAmount`, and a `NetworkPrefix` as input and returns a `SigmaPropValue`. The script is generated by compiling the provided code using the `compileWithCosting` method. + +The `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. + +The `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes. + +In summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. These components are used extensively throughout the project to ensure that programs are well-typed and free of errors. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/src/main/summary.md b/.autodoc/docs/markdown/sc/src/main/summary.md new file mode 100644 index 0000000000..47d15c5f1c --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/main/summary.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src/main) + +The code in the `.autodoc/docs/json/sc/src/main/scala` folder plays a crucial role in working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform. + +One of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below: + +```scala +val scriptEnv: ScriptEnv = ... +val code: String = ... +val networkPrefix: NetworkPrefix = ... +val compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix) +``` + +Another important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction: + +```scala +val tokenId: TokenId = ... +val thresholdAmount: Long = ... +val networkPrefix: NetworkPrefix = ... +val thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +The `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract: + +```scala +val ergoContract: ErgoContract = new ErgoContract { + override val ergoTree: ErgoTree = ... +} +``` + +The `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes. + +In summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/src/summary.md b/.autodoc/docs/markdown/sc/src/summary.md new file mode 100644 index 0000000000..8f7adf18c1 --- /dev/null +++ b/.autodoc/docs/markdown/sc/src/summary.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc/src) + +The code in the `.autodoc/docs/json/sc/src/main/scala` folder is crucial for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides essential components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform. + +One of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below: + +```scala +val scriptEnv: ScriptEnv = ... +val code: String = ... +val networkPrefix: NetworkPrefix = ... +val compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix) +``` + +Another important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction: + +```scala +val tokenId: TokenId = ... +val thresholdAmount: Long = ... +val networkPrefix: NetworkPrefix = ... +val thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +The `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract: + +```scala +val ergoContract: ErgoContract = new ErgoContract { + override val ergoTree: ErgoTree = ... +} +``` + +The `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes. + +In summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sc/summary.md b/.autodoc/docs/markdown/sc/summary.md new file mode 100644 index 0000000000..563bc4b92a --- /dev/null +++ b/.autodoc/docs/markdown/sc/summary.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sc) + +The code in the `.autodoc/docs/json/sc/src/main/scala` folder is essential for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. It provides crucial components for compiling ErgoScript code, generating scripts for specific conditions, and interacting with smart contracts on the Ergo platform. + +One of the key files in this folder is `ErgoScriptPredef.scala`, which offers utility methods for working with ErgoScript code. For instance, the `compileWithCosting` method compiles ErgoScript code using the `SigmaCompiler`. This method can be used to create custom spending conditions for boxes, as shown in the example below: + +```scala +val scriptEnv: ScriptEnv = ... +val code: String = ... +val networkPrefix: NetworkPrefix = ... +val compiledScript: Value[SType] = ErgoScriptPredef.compileWithCosting(scriptEnv, code, networkPrefix) +``` + +Another important method in this file is `tokenThresholdScript`, which generates a script that checks if a given box can be spent by a transaction containing a specific token amount. This method can be used to create a script that ensures a box can only be spent if a certain amount of a specific token is present in the transaction: + +```scala +val tokenId: TokenId = ... +val thresholdAmount: Long = ... +val networkPrefix: NetworkPrefix = ... +val thresholdScript: SigmaPropValue = ErgoScriptPredef.tokenThresholdScript(tokenId, thresholdAmount, networkPrefix) +``` + +The `org` subfolder contains code for defining and interacting with smart contracts on the Ergo blockchain platform. It provides traits, objects, and methods for specifying, proving, verifying, and interacting with input and output boxes in transactions. For example, developers can use the provided code to create a new Ergo contract: + +```scala +val ergoContract: ErgoContract = new ErgoContract { + override val ergoTree: ErgoTree = ... +} +``` + +The `sigmastate` subfolder contains essential components for the Sigma protocol implementation in the Ergo blockchain. The code in this folder focuses on building and manipulating SigmaState's intermediate representation (IR) of smart contracts, as well as compiling, type inference, and binding of global names in the Sigma programming language. The `eval` subfolder provides methods and values for building and manipulating the IR of smart contracts, while the `lang` subfolder contains essential components for the Sigma programming language implementation, such as the `SigmaBinder`, `SigmaCompiler`, and `SigmaTyper` classes. + +In summary, the code in the `.autodoc/docs/json/sc/src/main/scala` folder provides essential components for working with ErgoScript and the Sigma protocol on the Ergo blockchain platform. Developers can use the provided code to create, prove, verify, and interact with Ergo contracts and transactions, as well as transfer assets and interact with the Ergo blockchain. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.md new file mode 100644 index 0000000000..e0aa753d1c --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.md @@ -0,0 +1,39 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainParameters.scala) + +The code defines a class called "BlockchainParameters" which extends the "ErgoLikeParameters" class. This class is used to represent the parameters of a blockchain network. The class has several properties such as "storageFeeFactor", "minValuePerByte", "maxBlockSize", "tokenAccessCost", "inputCost", "dataInputCost", "outputCost", "maxBlockCost", "_softForkStartingHeight", "_softForkVotesCollected", and "blockVersion". These properties are used to define the various parameters of the blockchain network. + +The class also has two methods called "softForkStartingHeight" and "softForkVotesCollected". These methods are used to retrieve the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. The methods use the "Isos.isoUndefOr" method to convert the "UndefOr" type to an "Option" type. + +The class is annotated with "@JSExportTopLevel" which means that it can be exported to JavaScript. This allows the class to be used in a JavaScript environment. + +This class can be used in the larger project to define the parameters of the blockchain network. For example, the "maxBlockSize" property can be used to define the maximum size of a block in the blockchain network. The "inputCost" property can be used to define the cost of adding an input to a transaction. The "outputCost" property can be used to define the cost of adding an output to a transaction. The "softForkStartingHeight" and "softForkVotesCollected" methods can be used to retrieve information about the soft-fork starting height and the votes for soft-fork collected in previous epochs respectively. + +Example usage: + +``` +val params = new BlockchainParameters( + storageFeeFactor = 100, + minValuePerByte = 1, + maxBlockSize = 1000000, + tokenAccessCost = 10, + inputCost = 100, + dataInputCost = 50, + outputCost = 50, + maxBlockCost = 100000000, + _softForkStartingHeight = Some(100), + _softForkVotesCollected = Some(100), + blockVersion = 1 +) + +val maxBlockSize = params.maxBlockSize // returns 1000000 +val softForkStartingHeight = params.softForkStartingHeight // returns Some(100) +``` +## Questions: + 1. What is the purpose of this code and what does it do? + This code defines a class called `BlockchainParameters` that extends `ErgoLikeParameters` and contains various parameters related to the blockchain, such as storage fee factor and max block size. + +2. What is the significance of the `@JSExportTopLevel` annotation? + The `@JSExportTopLevel` annotation is used to export the `BlockchainParameters` class as a top-level object in the generated JavaScript code, making it accessible from outside the module. + +3. What is the role of the `Isos` object and how is it used in this code? + The `Isos` object provides isomorphisms (bi-directional transformations) between different types, and is used in this code to convert between `UndefOr[Int]` and `Option[Int]` types for the `softForkStartingHeight` and `softForkVotesCollected` methods. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.md new file mode 100644 index 0000000000..79b3fe3fd5 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/BlockchainStateContext.scala) + +The code above defines a class called "BlockchainStateContext" that is exported as a top-level object for use in a JavaScript environment. This class is part of the Ergo Platform SDK and is used to represent the current state of the blockchain. + +The class has three properties: "sigmaLastHeaders", "previousStateDigest", and "sigmaPreHeader". "sigmaLastHeaders" is an array of "Header" objects, which represent the headers of the most recent blocks in the blockchain. "previousStateDigest" is a string that represents the hash of the previous state of the blockchain. "sigmaPreHeader" is an object of type "PreHeader" that contains information about the current block being processed. + +This class is likely used in the larger project to provide a way to access and manipulate the current state of the blockchain. For example, a developer may use this class to retrieve the most recent block headers and use that information to make decisions about how to interact with the blockchain. + +Here is an example of how this class might be used in a JavaScript environment: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); // prints array of Header objects +console.log(context.previousStateDigest); // prints string representing previous state hash +console.log(context.sigmaPreHeader); // prints PreHeader object +``` + +Overall, this class provides a useful abstraction for working with the current state of the blockchain in a JavaScript environment. +## Questions: + 1. What is the purpose of this code and how does it fit into the overall project? +- This code defines a class called `BlockchainStateContext` in the `org.ergoplatform.sdk.js` package, which appears to be related to blockchain technology. It is likely used to store and manage data related to the state of the blockchain. + +2. What is the significance of the `@JSExportTopLevel` annotation? +- The `@JSExportTopLevel` annotation is used to export the `BlockchainStateContext` class as a top-level object in the generated JavaScript code. This allows it to be accessed and used by other JavaScript code. + +3. What are the types and meanings of the parameters passed to the `BlockchainStateContext` constructor? +- The `BlockchainStateContext` constructor takes three parameters: an array of `Header` objects called `sigmaLastHeaders`, a `String` called `previousStateDigest`, and a `PreHeader` object called `sigmaPreHeader`. These parameters likely contain information about the state of the blockchain, such as previous block headers and the current state digest. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.md new file mode 100644 index 0000000000..7866c277dd --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ErgoTree.scala) + +The code above is a Scala.js implementation of the ErgoTree serialization and deserialization process. ErgoTree is a data structure used in the Ergo blockchain platform to represent smart contracts. The purpose of this code is to provide a way to convert ErgoTree objects to and from bytes and hexadecimal strings. + +The `ErgoTree` class is defined as a Scala.js object that takes an `ErgoTree` object as a parameter. It has two methods: `toBytes()` and `toHex()`. The `toBytes()` method serializes the `ErgoTree` object using the `ErgoTreeSerializer` and returns the resulting byte array. The `toHex()` method encodes the byte array returned by `toBytes()` into a hexadecimal string using the `Base16` encoding scheme. + +The `ErgoTrees` object is defined as a Scala.js object that provides two methods: `fromHex()` and `fromBytes()`. The `fromHex()` method takes a hexadecimal string as a parameter, decodes it using the `Base16` encoding scheme, and returns an `ErgoTree` object by calling the `fromBytes()` method. The `fromBytes()` method takes a byte array as a parameter, deserializes it using the `ErgoTreeSerializer`, and returns a new `ErgoTree` object. + +This code can be used in the larger project to facilitate the serialization and deserialization of ErgoTree objects. For example, if the project involves creating and executing smart contracts on the Ergo blockchain platform, this code can be used to convert the smart contract code into an `ErgoTree` object, which can then be stored on the blockchain. Later, when the smart contract needs to be executed, the `ErgoTree` object can be retrieved from the blockchain and deserialized back into the original smart contract code using the `fromBytes()` method. Overall, this code provides a convenient way to work with ErgoTree objects in a Scala.js environment. +## Questions: + 1. What is the purpose of this code and what does it do? + - This code defines a JavaScript class and object for working with ErgoTrees, which are data structures used in the Ergo blockchain platform. It provides methods for converting ErgoTrees to bytes and hex strings, as well as for deserializing ErgoTrees from bytes or hex strings. + +2. What is the significance of the `@JSExport` and `@JSExportTopLevel` annotations? + - These annotations are used to export the ErgoTree class and object to the top-level scope of a JavaScript environment, making them accessible to other JavaScript code. `@JSExport` is used to export individual methods, while `@JSExportTopLevel` is used to export entire objects or classes. + +3. What is the purpose of the `Base16` and `ErgoTreeSerializer` classes? + - The `Base16` class provides methods for encoding and decoding data in hexadecimal format, which is commonly used in blockchain applications. The `ErgoTreeSerializer` class provides methods for serializing and deserializing ErgoTrees, which are complex data structures used in the Ergo blockchain platform. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.md new file mode 100644 index 0000000000..b7e2c04d53 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Header.scala) + +This code defines two classes, AvlTree and Header, which are used in the larger project to represent certain data structures. + +The AvlTree class represents an AVL tree, a self-balancing binary search tree. It takes in several parameters, including the tree's digest, which is a unique identifier for the tree, and whether insertions, updates, and removals are allowed. The keyLength parameter specifies the length of the keys in the tree, while valueLengthOpt is an optional parameter that specifies the length of the values associated with the keys. This class is exported as a top-level object, meaning it can be accessed from other parts of the project. + +The Header class represents a block header in the Ergo blockchain. It takes in several parameters, including the block's ID, version, and parent ID, as well as various other pieces of information such as the root of the authenticated data structure (ADProofsRoot), the root of the state tree (represented by an instance of the AvlTree class), and the root of the transaction tree. The class also includes information about the block's timestamp, difficulty (nBits), height, and various cryptographic keys and nonces. This class is also exported as a top-level object. + +These classes are likely used throughout the project to represent and manipulate AVL trees and block headers. For example, the AvlTree class may be used to create and modify AVL trees in the Ergo blockchain, while the Header class may be used to represent and validate block headers. Other parts of the project may interact with these classes to perform various operations on the data they represent. +## Questions: + 1. What is the purpose of the `AvlTree` and `Header` classes? +- The `AvlTree` class represents an AVL tree data structure with specific properties, while the `Header` class represents a block header in the Ergo blockchain. + +2. What is the significance of the `JSExportTopLevel` annotation? +- The `JSExportTopLevel` annotation is used to export a class or object to the top level of the generated JavaScript code, making it accessible from outside the module. + +3. What is the role of the `special.sigma` import? +- The `special.sigma` import provides access to the special types and functions used in the ErgoScript language, which is used for writing smart contracts on the Ergo blockchain. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.md new file mode 100644 index 0000000000..e2738c929e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Isos.scala) + +This code is part of the Ergo Platform SDK and provides a set of isomorphisms (Isos) between JavaScript and Scala data structures. These Isos are used to convert data between the two languages, allowing seamless integration of the Ergo Platform SDK with JavaScript applications. + +The `Isos` object contains several implicit `Iso` instances for various data types, such as `Value`, `Constant`, `AvlTree`, `Header`, `PreHeader`, `BlockchainStateContext`, `ContextExtension`, `UnsignedInput`, `DataInput`, `BigInt`, `Amount`, `Token`, and others. Each `Iso` instance defines a `to` and a `from` method for converting between the JavaScript and Scala data structures. + +For example, the `isoValueToConstant` instance converts between JavaScript `Value` and Scala `Constant[SType]`: + +```scala +implicit val isoValueToConstant: Iso[Value, Constant[SType]] = new Iso[Value, Constant[SType]] { + override def to(x: Value): Constant[SType] = ... + override def from(x: Constant[SType]): Value = ... +} +``` + +Additionally, there are utility methods for converting between collections, such as `isoArrayToColl`, `isoArrayToIndexed`, and `isoTokenArray`. + +The `isoUnsignedTransaction` instance is particularly important, as it converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction`. This allows JavaScript applications to create and manipulate unsigned transactions before submitting them to the Ergo network. + +```scala +val isoUnsignedTransaction: Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] = + new Iso[UnsignedTransaction, UnsignedErgoLikeTransaction] { + override def to(a: UnsignedTransaction): UnsignedErgoLikeTransaction = ... + override def from(b: UnsignedErgoLikeTransaction): UnsignedTransaction = ... + } +``` + +In summary, this code provides a set of isomorphisms for converting between JavaScript and Scala data structures, enabling seamless integration of the Ergo Platform SDK with JavaScript applications. +## Questions: + 1. **Question**: What is the purpose of the `Isos` object in this code? + **Answer**: The `Isos` object contains a collection of implicit and explicit `Iso` instances, which are used to convert between different types, specifically between JavaScript and Scala types. These conversions are necessary for interoperability between the two languages in this project. + +2. **Question**: How does the `isoUnsignedTransaction` Iso work? + **Answer**: The `isoUnsignedTransaction` Iso is an implementation of the Iso type class that converts between `UnsignedTransaction` and `UnsignedErgoLikeTransaction` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. + +3. **Question**: What is the role of the `isoBox` Iso in this code? + **Answer**: The `isoBox` Iso is used to convert between `Box[commonMod.Amount]` and `ErgoBox` types. It provides `to` and `from` methods for converting between these types by mapping their respective fields using other Isos defined in the `Isos` object. This Iso is particularly useful for converting between JavaScript and Scala representations of boxes in the Ergo platform. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.md new file mode 100644 index 0000000000..64c24a30b5 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/PreHeader.scala) + +The code above defines a class called `PreHeader` in the `org.ergoplatform.sdk.js` package. This class is intended to represent a pre-header of a block in the Ergo blockchain. + +The `PreHeader` class has seven properties: `version`, `parentId`, `timestamp`, `nBits`, `height`, `minerPk`, and `votes`. These properties are all immutable and are set through the constructor. + +The `version` property is a single byte that represents the version of the pre-header. The `parentId` property is a string that represents the ID of the parent block. The `timestamp` property is a `BigInt` that represents the timestamp of the block. The `nBits` property is a `BigInt` that represents the difficulty of the block. The `height` property is an integer that represents the height of the block. The `minerPk` property is a string that represents the public key of the miner who mined the block. The `votes` property is a string that represents the votes that were cast for the block. + +The `PreHeader` class is annotated with `@JSExportTopLevel`, which means that it can be exported to JavaScript code. This is useful for integrating the Ergo blockchain with JavaScript applications. + +In the larger project, the `PreHeader` class can be used to represent pre-headers of blocks in the Ergo blockchain. This can be useful for analyzing the blockchain and performing various operations on it. For example, one could use the `PreHeader` class to calculate the difficulty of a block or to determine the public key of the miner who mined the block. + +Here is an example of how the `PreHeader` class could be used in JavaScript code: + +```javascript +const preHeader = new PreHeader( + 1, // version + "0000000000000000000000000000000000000000000000000000000000000000", // parent ID + BigInt(1630460000), // timestamp + BigInt(100000000), // difficulty + 12345, // height + "03a7f8c7d9d9c8f7a6d5c4b3a2f1e0d9c8b7a6d5c4b3a2f1e0d9c8b7a6d5c4b3", // miner public key + "0101010101010101010101010101010101010101010101010101010101010101" // votes +); + +console.log(preHeader.height); // Output: 12345 +``` +## Questions: + 1. What is the purpose of this code? + This code defines a class called PreHeader in the org.ergoplatform.sdk.js package, which has several properties related to a blockchain header. + +2. What is the significance of the JSExportTopLevel annotation? + The JSExportTopLevel annotation is used to export the PreHeader class as a top-level object in the generated JavaScript code, making it accessible from outside the Scala.js environment. + +3. Why are some of the properties defined as js.BigInt instead of regular BigInt? + The js.BigInt type is used to represent BigInt values in the JavaScript environment, which is necessary when interacting with JavaScript code or libraries that expect or return BigInt values. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.md new file mode 100644 index 0000000000..4177d9e7ea --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.md @@ -0,0 +1,18 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Prover.scala) + +The code defines a class called `Prover` that provides methods for reducing transactions in the Ergo blockchain. The `Prover` class takes an instance of the `sdk.Prover` class as a parameter and exposes two methods: `reduce` and `reduceTransaction`. + +The `reduce` method takes four parameters: `stateCtx`, `unsignedTx`, `boxesToSpend`, and `baseCost`. `stateCtx` is an instance of the `BlockchainStateContext` class, `unsignedTx` is an instance of the `transactionsMod.UnsignedTransaction` class, `boxesToSpend` is an array of `inputsMod.EIP12UnsignedInput` instances, and `baseCost` is an integer. The method first creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, and empty `dataInputs` and `tokensToBurn` arrays. It then calls the `reduce` method of the `_prover` instance with the `stateCtx`, `tx`, and `baseCost` parameters. Finally, it returns a new instance of the `ReducedTransaction` class. + +The `reduceTransaction` method takes six parameters: `unsignedTx`, `boxesToSpend`, `dataBoxes`, `stateDigest`, `baseCost`, and `tokensToBurn`. `unsignedTx` and `boxesToSpend` are the same as in the `reduce` method. `dataBoxes` is an array of `Box[commonMod.Amount]` instances, `stateDigest` is a string, and `tokensToBurn` is an array of `tokenMod.TokenAmount[commonMod.Amount]` instances. The method creates an instance of the `sdk.UnreducedTransaction` class using the `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` parameters. It then returns a tuple containing a new instance of the `ReducedTransaction` class and an integer value of 0. + +The purpose of this code is to provide a way to reduce transactions in the Ergo blockchain using an instance of the `sdk.Prover` class. The `reduce` and `reduceTransaction` methods take different sets of parameters and can be used in different contexts depending on the needs of the larger project. For example, the `reduce` method may be used to reduce a transaction before it is broadcast to the network, while the `reduceTransaction` method may be used to reduce a transaction that has already been broadcast and is waiting to be included in a block. +## Questions: + 1. What is the purpose of the `Prover` class and its methods? +- The `Prover` class is a wrapper around the `sdk.Prover` class and provides two methods for reducing transactions. The `reduce` method takes in a `BlockchainStateContext`, an `UnsignedTransaction`, an array of `EIP12UnsignedInput` boxes to spend, and a base cost, and returns a `ReducedTransaction`. The `reduceTransaction` method takes in similar parameters as `reduce`, as well as an array of data boxes and an array of tokens to burn, and returns a tuple of a `ReducedTransaction` and an integer. + +2. What is the purpose of the `ReducedTransaction` class? +- The `ReducedTransaction` class is a placeholder class that does not have any functionality or properties. It is used as a return type for the `reduce` and `reduceTransaction` methods in the `Prover` class. + +3. What external dependencies does this code have? +- This code has external dependencies on the `org.ergoplatform.sdk` package, the `typings.fleetSdkCommon` package (specifically the `boxesMod`, `commonMod`, `inputsMod`, `tokenMod`, and `transactionsMod` modules), and the `scala.scalajs.js` package. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.md new file mode 100644 index 0000000000..428b58a957 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/ProverBuilder.scala) + +The code above defines a class called `ProverBuilder` that is used to build a prover object for the Ergo blockchain platform. The `ProverBuilder` class takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` class is used to define the parameters of an Ergo transaction, while the `NetworkPrefix` class is used to specify the network prefix of the Ergo blockchain (either `Mainnet` or `Testnet`). + +The `ProverBuilder` class has several methods that can be used to configure the prover object. The `withMnemonic` method takes two arguments: `mnemonicPhrase` and `mnemonicPass`, both of type `String`. These arguments are used to generate a secret key for the prover object. The `withEip3Secret` method takes an integer argument `index` and is used to add an EIP3 secret to the prover object. The `withDHTData` method takes five arguments: `g`, `h`, `u`, `v`, and `x`, where `g`, `h`, `u`, and `v` are group elements and `x` is a big integer. This method is used to add DHT data to the prover object. Finally, the `withDLogSecret` method takes a big integer argument `x` and is used to add a DLog secret to the prover object. + +Once the prover object has been configured using the `ProverBuilder` class, the `build` method can be called to create a new `Prover` object. The `Prover` class is not defined in this file, but it is likely defined elsewhere in the project. + +This code is likely used in a larger project that involves building and signing Ergo transactions. The `ProverBuilder` class provides a convenient way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain. An example usage of this code might look like: + +``` +val parameters = new ErgoLikeParameters(...) +val networkPrefix = NetworkPrefix.Testnet +val builder = new ProverBuilder(parameters, networkPrefix) +builder.withMnemonic("my secret phrase", "my password") +builder.withDLogSecret(1234567890) +val prover = builder.build() +val signedTx = prover.sign(tx) +``` +## Questions: + 1. What is the purpose of this code and what does it do? + - This code defines a class called `ProverBuilder` in the `org.ergoplatform.sdk.js` package that provides methods for building a prover object for the Ergo blockchain platform. It uses various dependencies and libraries to construct the prover object with different types of secret keys and data. + +2. What are the parameters required to instantiate an object of the `ProverBuilder` class? + - An object of the `ProverBuilder` class requires two parameters: an `ErgoLikeParameters` object and a `NetworkPrefix` object. These parameters are used to initialize the `_builder` object of the `sdk.ProverBuilder` class, which is used to construct the prover object. + +3. What are some of the methods available in the `ProverBuilder` class and what do they do? + - The `ProverBuilder` class provides several methods for adding different types of secret keys and data to the prover object, such as `withMnemonic`, `withEip3Secret`, `withDHTData`, and `withDLogSecret`. These methods take different parameters and use various functions to convert data types and formats to the required format for the prover object. The `build` method is used to construct the final `Prover` object from the `_builder` object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.md new file mode 100644 index 0000000000..686730aa68 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.md @@ -0,0 +1,25 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Type.scala) + +The code above defines a set of classes and methods that represent ErgoScript types in a JavaScript-friendly way. The `Type` class is a wrapper around the `RType` type descriptor, which is used to represent types in the ErgoScript language. The `Type` class has a single field, `rtype`, which is the underlying `RType` descriptor. + +The `Type` class has a method called `name`, which returns the syntactically correct type name as a string. There is also an overridden `toString` method that returns a string representation of the `Type` object. + +The `Types` object defines a set of static fields and methods that represent common ErgoScript types. These include `Byte`, `Short`, `Int`, and `Long`, which are descriptors for the corresponding primitive types in ErgoScript. There are also two methods, `pairType` and `collType`, which construct descriptors for pair and collection types, respectively. + +The `pairType` method takes two `Type` objects as arguments and returns a new `Type` object that represents a pair of those types. The `collType` method takes a single `Type` object as an argument and returns a new `Type` object that represents a collection of elements of that type. + +Overall, this code provides a way to represent ErgoScript types in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment. The `Types` object provides a set of common type descriptors that can be used to construct more complex types. For example, to represent a collection of pairs of integers, one could use the following code: + +``` +val pairType = Type.pairType(Type.Int, Type.Int) +val collType = Type.collType(pairType) +``` +## Questions: + 1. What is the purpose of this code? +- This code defines a set of classes and methods for representing and manipulating ErgoScript types in a JavaScript-friendly way. + +2. What is the difference between the `Type` class and the `Types` object? +- The `Type` class represents a single ErgoScript type, while the `Types` object provides methods for constructing and accessing different types. + +3. What is the `collType` method used for? +- The `collType` method constructs a new descriptor of an ErgoScript collection type, where `elemType` is the type descriptor of the collection elements. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.md new file mode 100644 index 0000000000..e26df907cf --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/js/src/main/scala/org/ergoplatform/sdk/js/Value.scala) + +# Code Explanation: org.ergoplatform.sdk.js + +The `org.ergoplatform.sdk.js` package contains the implementation of the ErgoScript language in JavaScript. The `Value` class is used to represent any valid value of the ErgoScript language. Each `Value` instance comes equipped with a `Type` descriptor. The `Value` class is implemented based on the pre-defined mapping between JavaScript and ErgoScript types. This mapping is applied recursively and is given by the following: + +| JS type | ErgoScript Type | +| -------| ---------------| +| Number | Byte | +| Number | Short | +| Number | Int | +| BigInt | Long | +| BigInt | BigInt | +| array [A, B] | (A, B) - pair | +| array [a1, a2 ..] | Coll[A] - collection | + +The `Value` class has two properties: `data` and `tpe`. The `data` property is the JavaScript value wrapped in this `Value` instance. The `tpe` property is the type descriptor of the ErgoScript type. + +The `Value` class has two methods: `runtimeData` and `toHex()`. The `runtimeData` method returns the Sigma runtime value which can be passed to the interpreter, saved in the register, and `sigmastate.Values.Constant` nodes. The `toHex()` method encodes this `Value` instance as a Base16 hex string. + +The `Values` object contains helper methods to create `Value` instances from JavaScript values. The `ofByte()`, `ofShort()`, `ofInt()`, and `ofLong()` methods create `Value` instances from JavaScript numbers. The `pairOf()` method creates a `Value` instance from two `Value` instances. The `collOf()` method creates a `Value` instance from an array of elements and an element type descriptor. The `fromHex()` method creates a `Value` instance from a hex-encoded serialized bytes of `Constant` values. + +Overall, the `Value` class and `Values` object are essential components of the ErgoScript language implementation in JavaScript. They allow for the representation of ErgoScript values in JavaScript and provide methods to encode and decode these values. +## Questions: + 1. What is the purpose of the `Value` class and how is it used in ErgoScript language? +- The `Value` class is used to represent any valid value of ErgoScript language and comes equipped with a `Type` descriptor. It is used to create Sigma runtime values which can be passed to interpreter, saved in register and `Constant` nodes. +2. What is the mapping between JS types and ErgoScript types? +- The mapping between JS types and ErgoScript types is as follows: + - Number -> Byte, Short, Int + - BigInt -> Long, BigInt + - array [A, B] -> (A, B) - pair + - array [a1, a2 ..] -> Coll[A] - collection +3. How is a `Value` encoded as a Base16 hex string? +- A `Value` is encoded as a Base16 hex string by transforming it into a `ConstantNode` of Sigma, serializing the constant into a byte array using `ConstantSerializer`, and then encoding the bytes using Base16 encoder into a string. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.md new file mode 100644 index 0000000000..036ad1f60e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/js/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications. + +For example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.md new file mode 100644 index 0000000000..aca9a8c026 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/sdk/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications. + +For example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/summary.md new file mode 100644 index 0000000000..39326583a9 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/ergoplatform/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications. + +For example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/org/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/summary.md new file mode 100644 index 0000000000..8490fa8400 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/org/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala/org) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications. + +For example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/scala/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/scala/summary.md new file mode 100644 index 0000000000..0daf8ee8ba --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/scala/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main/scala) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains Scala.js implementations for various Ergo blockchain platform components, such as transaction processing, block headers, and ErgoScript types. These implementations are designed to be used in a JavaScript environment, enabling seamless integration with JavaScript applications. + +For example, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/main/summary.md b/.autodoc/docs/markdown/sdk/js/src/main/summary.md new file mode 100644 index 0000000000..80b43b13fa --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/main/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src/main) + +The `.autodoc/docs/json/sdk/js/src/main/scala/org/ergoplatform/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. + +For instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/src/summary.md b/.autodoc/docs/markdown/sdk/js/src/summary.md new file mode 100644 index 0000000000..859ed5b4cd --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/src/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js/src) + +The `.autodoc/docs/json/sdk/js/src` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. + +For instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/js/summary.md b/.autodoc/docs/markdown/sdk/js/summary.md new file mode 100644 index 0000000000..ad24cef537 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/js/summary.md @@ -0,0 +1,50 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/js) + +The `.autodoc/docs/json/sdk/js` folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment. These components enable developers to build and interact with ErgoScript applications seamlessly, providing JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. + +For instance, the `BlockchainParameters.scala` file defines a class representing the parameters of a blockchain network, such as maximum block size and transaction costs. This class can be used to configure the blockchain network parameters in a JavaScript environment: + +```javascript +const params = new BlockchainParameters(...); +const maxBlockSize = params.maxBlockSize; +``` + +The `BlockchainStateContext.scala` file defines a class representing the current state of the blockchain, including recent block headers and the previous state digest. This class can be used to access and manipulate the blockchain state: + +```javascript +const context = new BlockchainStateContext(headers, previousDigest, preHeader); +console.log(context.sigmaLastHeaders); +``` + +The `ErgoTree.scala` file provides a way to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings. This is useful for creating and executing smart contracts on the Ergo blockchain platform: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `Header.scala` file defines classes for representing and manipulating AVL trees and block headers in the Ergo blockchain. These classes can be used to perform various operations on the data they represent: + +```javascript +const header = new Header(...); +const avlTree = new AvlTree(...); +``` + +The `ProverBuilder.scala` file provides a way to configure a prover object with the necessary secrets and data to sign a transaction. The resulting `Prover` object can then be used to sign a transaction and submit it to the Ergo blockchain: + +```javascript +const builder = new ProverBuilder(parameters, networkPrefix); +builder.withMnemonic("my secret phrase", "my password"); +const prover = builder.build(); +const signedTx = prover.sign(tx); +``` + +The `Type.scala` and `Value.scala` files provide a way to represent ErgoScript types and values in a JavaScript-friendly way, which can be useful when working with ErgoScript in a JavaScript environment: + +```javascript +const intValue = Values.ofInt(42); +const pairValue = Values.pairOf(intValue, intValue); +const collValue = Values.collOf([intValue, intValue], Type.Int); +``` + +Overall, this folder contains essential components for working with the Ergo blockchain platform in a JavaScript environment, enabling developers to build and interact with ErgoScript applications seamlessly. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.md new file mode 100644 index 0000000000..61fca4ca33 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/AppkitProvingInterpreter.scala) + +## AppkitProvingInterpreter Class + +The `AppkitProvingInterpreter` class is a class that holds secrets and can sign transactions. It is used to generate proofs for transactions. It takes in `secretKeys`, `dLogInputs`, `dhtInputs`, and `params` as parameters. `secretKeys` are secrets in extended form to be used by the prover. `dLogInputs` are prover inputs containing secrets for generating proofs for ProveDlog nodes. `dhtInputs` are prover inputs containing secrets for generating proofs for ProveDHTuple nodes. `params` are ergo blockchain parameters. + +The class extends `ReducingInterpreter` and `ProverInterpreter`. It has a `secrets` field that holds all the necessary secrets to satisfy the given sigma proposition in the reducedInput. It has a `pubKeys` field that holds all public keys that correspond to all the DLogProverInput known to this prover. + +The `sign` method reduces and signs the given transaction. It takes in `unreducedTx`, `stateContext`, and `baseCost` as parameters. `unreducedTx` is the unreduced transaction data to be reduced (contains unsigned transaction). `stateContext` is the state context of the blockchain in which the transaction should be signed. `baseCost` is the cost accumulated before this transaction. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost doesn't include `baseCost`. + +The `signReduced` method signs the given transaction (i.e. providing spending proofs) for each input so that the resulting transaction can be submitted to the blockchain. It takes in `reducedTx` as a parameter. `reducedTx` is an unsigned transaction augmented with reduced. It returns a new signed transaction with all inputs signed and the cost of this transaction. The returned cost includes the costs of obtaining reduced transaction and the cost of verification of each signed input. + +The `proveReduced` method generates proof (aka signature) for the given message using secrets of this prover. All the necessary secrets should be configured in this prover to satisfy the given sigma proposition in the reducedInput. + +## ReducedErgoLikeTransaction Class + +The `ReducedErgoLikeTransaction` class represents `reduced` transaction, i.e. unsigned transaction where each unsigned input is augmented with `ReducedInputData` which contains a script reduction result. After an unsigned transaction is reduced it can be signed without context. Thus, it can be serialized and transferred for example to Cold Wallet and signed in an environment where secrets are known. It takes in `unsignedTx` and `reducedInputs` as parameters. `unsignedTx` is an unsigned transaction. `reducedInputs` is a sequence of `ReducedInputData`. + +## ReducedInputData Class + +The `ReducedInputData` class represents data necessary to sign an input of an unsigned transaction. It takes in `reductionResult` and `extension` as parameters. `reductionResult` is the result of reducing input script to a sigma proposition. `extension` is context extensions (aka context variables) used by script and which are also necessary to verify the transaction on-chain. Extensions are included in tx bytes, which are signed. + +## TokenBalanceException Class + +The `TokenBalanceException` class is thrown during transaction signing when inputs token are not balanced with output tokens. It takes in `message` and `tokensDiff` as parameters. `message` is the balance difference which caused the error. `tokensDiff` is the difference between input and output tokens. +## Questions: + 1. What is the purpose of the `AppkitProvingInterpreter` class? +- The `AppkitProvingInterpreter` class holds secrets and can sign transactions to generate proofs. It takes in secrets, prover inputs, and blockchain parameters as parameters. + +2. What is the difference between `sign` and `signReduced` methods in the `AppkitProvingInterpreter` class? +- The `sign` method reduces and signs the given transaction, while the `signReduced` method signs the given transaction without requiring context to generate proofs. + +3. What is the purpose of the `ReducedErgoLikeTransactionSerializer` object? +- The `ReducedErgoLikeTransactionSerializer` object is used to serialize and parse `ReducedErgoLikeTransaction` objects, which are unsigned transactions augmented with `ReducedInputData` that contain a script reduction result. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.md new file mode 100644 index 0000000000..43cedcbe06 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/DataJsonEncoder.scala) + +The `DataJsonEncoder` object in this code is responsible for encoding and decoding data in JSON format for the Ergo platform SDK. It provides methods to convert data between JSON and Ergo platform's internal data types, such as `SInt`, `SLong`, `SBigInt`, `SString`, `SCollectionType`, `SOption`, `STuple`, `SGroupElement`, `SAvlTree`, `SSigmaProp`, and `SBox`. This is useful for serializing and deserializing data when communicating with external systems or storing data in a human-readable format. + +The main methods provided by this object are: + +- `encode[T <: SType](v: T#WrappedType, tpe: T): Json`: Encodes a value `v` of type `T` into a JSON object, including the type information. +- `encodeAnyValue(v: AnyValue): Json`: Encodes an `AnyValue` into a JSON object, including the type information. +- `decode(json: Json): SType#WrappedType`: Decodes a JSON object into a value of the corresponding `SType`. +- `decodeAnyValue(json: Json): AnyValue`: Decodes a JSON object into an `AnyValue`. + +These methods rely on several private helper methods for encoding and decoding specific data types, such as `encodeBytes`, `decodeBytes`, `encodeData`, `decodeData`, `decodeColl`, and `decodeWithTpe`. + +For example, to encode an `SInt` value into JSON: + +```scala +val intValue: SInt#WrappedType = 42 +val json: Json = DataJsonEncoder.encode(intValue, SInt) +``` + +And to decode the JSON back into an `SInt` value: + +```scala +val decodedValue: SInt#WrappedType = DataJsonEncoder.decode(json).asInstanceOf[SInt#WrappedType] +``` + +This object is useful in the larger project for handling data serialization and deserialization between the Ergo platform and external systems, such as APIs, databases, or user interfaces. +## Questions: + 1. **Question**: What is the purpose of the `DataJsonEncoder` object and its methods? + **Answer**: The `DataJsonEncoder` object is responsible for encoding and decoding data of various types to and from JSON format. It provides methods like `encode`, `encodeAnyValue`, `decode`, and `decodeAnyValue` to handle the conversion between data types and JSON. + +2. **Question**: How does the `encodeData` method work and what types does it support? + **Answer**: The `encodeData` method takes a value `v` and its type `tpe` as input and returns a JSON representation of the value. It supports various types like SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox. + +3. **Question**: How does the `decodeData` method work and what types does it support? + **Answer**: The `decodeData` method takes a JSON object and a type `tpe` as input and returns the decoded value of the specified type. It supports the same types as the `encodeData` method, such as SUnit, SBoolean, SByte, SShort, SInt, SLong, SBigInt, SString, SCollectionType, SOption, STuple, SGroupElement, SAvlTree, SSigmaProp, and SBox. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.md new file mode 100644 index 0000000000..2125eb073e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoId.scala) + +The code defines a class called ErgoId, which is used to represent an identifier for an Ergo object. The ErgoId class contains a byte array that usually represents a 256-bit hash. The class provides methods to create an ErgoId object from a base16 string and to extract the underlying byte array. + +The ErgoId class also overrides the hashCode and equals methods to support equality. The hashCode method converts the byte array to an integer using the Ints.fromByteArray method from the scorex.utils package. If the byte array is null or less than 4 bytes, the method uses the util.Arrays.hashCode method instead. The equals method checks if the object being compared is null, if it is the same object, or if it is an instance of ErgoId. If it is an ErgoId object, the method checks if the byte arrays are equal using the util.Arrays.equals method. + +Finally, the ErgoId class provides a toString method that returns a string representation of the byte array using Base16 encoding. + +The ErgoId object can be used to uniquely identify an Ergo object in the larger project. For example, it can be used to identify a transaction or a box in the Ergo blockchain. The ErgoId object can be created using the create method of the ErgoId object, which takes a base16 string as input. The resulting ErgoId object can then be used to compare with other ErgoId objects to check for equality. The toString method can also be used to obtain a string representation of the ErgoId object for display purposes. + +Example usage: + +``` +val id1 = ErgoId.create("0123456789abcdef") +val id2 = ErgoId.create("0123456789abcdef") +val id3 = ErgoId.create("fedcba9876543210") + +println(id1 == id2) // true +println(id1 == id3) // false + +println(id1.toString) // "0123456789abcdef" +``` +## Questions: + 1. What is the purpose of the ErgoId class? + - The ErgoId class is an identifier for an Ergo object that wraps a byte array, usually a 256-bit hash, and supports equality. + +2. What is the purpose of the create method in the ErgoId object? + - The create method in the ErgoId object creates a new ErgoId instance from a base16 string by decoding it into bytes. + +3. What hashing algorithm is used in the ErgoId class? + - The ErgoId class uses the Ints.fromByteArray method to hash the byte array if it is at least 4 bytes long, otherwise it uses the util.Arrays.hashCode method. The specific hashing algorithm used by Ints.fromByteArray is not specified in this code. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.md new file mode 100644 index 0000000000..6e3b3aed4c --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ErgoToken.scala) + +The code above defines a case class called ErgoToken that represents an Ergo token (also known as an asset) paired with its value. The class has two parameters: id, which is an instance of ErgoId, and value, which is a Long. ErgoId is a separate class that is not defined in this file. + +The ErgoToken class has three constructors. The first constructor takes an ErgoId instance and a Long value as parameters. The second constructor takes an array of bytes and a Long value as parameters, and it creates a new ErgoId instance from the array of bytes. The third constructor takes a String and a Long value as parameters, and it decodes the String into an array of bytes using a helper method called JavaHelpers.decodeStringToBytes(). + +The class also has two methods: getId() and getValue(). getId() returns the ErgoId instance associated with the ErgoToken, while getValue() returns the Long value associated with the ErgoToken. + +This class is useful in the larger project because it allows Ergo tokens to be represented as objects that can be used as keys in maps and sets. This makes it easier to manipulate and store Ergo tokens in the project. For example, if the project needs to keep track of a user's Ergo token balance, it can use a map where the keys are ErgoToken instances and the values are Longs representing the token balances. Here is an example of how this might look: + +``` +val tokenBalanceMap: Map[ErgoToken, Long] = Map( + ErgoToken("token1", 100) -> 500L, + ErgoToken("token2", 200) -> 1000L, + ErgoToken("token3", 300) -> 750L +) + +val userTokenBalance: Long = tokenBalanceMap(ErgoToken("token2", 200)) +// userTokenBalance is now 1000L +``` + +In this example, the tokenBalanceMap is a Map where the keys are ErgoToken instances and the values are Longs representing the token balances. The userTokenBalance variable is set to the value associated with the ErgoToken instance representing "token2" with a value of 200. This allows the project to easily keep track of Ergo token balances for different users. +## Questions: + 1. What is the purpose of the ErgoToken class? + The ErgoToken class represents an ergo token (or asset) paired with its value and can be used as keys for maps and sets. + +2. What is the difference between the three constructors? + The first constructor takes an ErgoId and a Long as parameters, the second constructor takes an array of bytes and a Long, and the third constructor takes a String and a Long. All three constructors create an instance of the ErgoToken class. + +3. What methods are available in the ErgoToken class? + The ErgoToken class has methods to get the id and value of the token, as well as constructors to create instances of the class using different parameter types. The class also implements equality and can be used as keys for maps and sets. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.md new file mode 100644 index 0000000000..53a59cfcb1 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.md @@ -0,0 +1,34 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ExtendedInputBox.scala) + +The code defines a class called ExtendedInputBox, which represents an input ErgoBox paired with context variables. An ErgoBox is a data structure that contains a certain amount of cryptocurrency and can be used as an input or output in a transaction on the Ergo blockchain. Context variables, also known as ContextExtensions, are additional data that is required to satisfy the guarding proposition of the box. The guarding proposition is a script that must be evaluated to true in order for the box to be spent in a transaction. + +The ExtendedInputBox class takes two parameters: an instance of ErgoBox and a set of context variables. These parameters are used to create an ExtendedInputBox object, which can then be used as an input in a transaction. The toUnsignedInput method is provided to convert an ExtendedInputBox object into an UnsignedInput object, which is used to create a signed transaction. + +This code is part of the Ergo Platform SDK, which is a set of tools and libraries for building applications on the Ergo blockchain. The ExtendedInputBox class is a useful abstraction for working with input boxes in transactions, as it encapsulates both the box and its required context variables. This can simplify the process of constructing and signing transactions, as the necessary data is contained within a single object. + +Example usage: + +```scala +import org.ergoplatform.sdk.ExtendedInputBox +import org.ergoplatform.{ErgoBox, UnsignedInput} +import sigmastate.interpreter.ContextExtension + +// create an ErgoBox and a ContextExtension +val box = new ErgoBox(1000000, Array[Byte](1, 2, 3)) +val extension = new ContextExtension(Map("key" -> Array[Byte](4, 5, 6))) + +// create an ExtendedInputBox object +val inputBox = ExtendedInputBox(box, extension) + +// convert to UnsignedInput +val unsignedInput = inputBox.toUnsignedInput +``` +## Questions: + 1. What is the purpose of the `ExtendedInputBox` class? +- The `ExtendedInputBox` class represents an input `ErgoBox` along with its associated context variables, which are necessary to satisfy the box's guarding proposition. + +2. What is the `toUnsignedInput` method used for? +- The `toUnsignedInput` method returns an `UnsignedInput` instance created from the `ErgoBox` ID and context extension of the `ExtendedInputBox`. + +3. What is the significance of the `ContextExtension` import? +- The `ContextExtension` import is necessary to use the `extension` parameter in the `ExtendedInputBox` class, which represents the set of context variables necessary to satisfy the box's guarding proposition. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.md new file mode 100644 index 0000000000..fe479ae221 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Extensions.scala) + +The `Extensions` object contains several implicit classes that provide additional functionality to existing Scala and Ergo data structures. These classes are designed to simplify common operations and improve code readability. + +The `GenIterableOps` class provides a `mapReduce` method that applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function. The resulting collection is a new collection of (K,V) pairs, where K is the key and V is the reduced value. This method is useful for performing complex operations on collections, such as aggregating data or calculating statistics. + +The `CollOps` class provides several methods for working with Ergo's `Coll` data structure. These methods include `partition`, which partitions a collection into two collections based on a predicate; `toMap`, which converts a collection of (K,V) pairs to an immutable map; `sum`, which sums the elements of a collection using a `Numeric` type; `mapReduce`, which applies a map function to each element of a collection, groups the results by key, and reduces each group using a reduce function; and `groupBy` and `groupByProjecting`, which partition a collection into a map of collections based on a discriminator function. + +The `PairCollOps` class provides additional methods for working with Ergo's `PairColl` data structure. These methods include `mapFirst` and `mapSecond`, which map the first and second components of each pair in the collection, respectively; `reduceByKey`, which uses the first component of each pair in the collection as a key for grouping and reducing the corresponding values; `sumByKey`, which uses the first component of each pair in the collection as a key for grouping and summing the corresponding values using a `Numeric` type; and `groupByKey`, which uses the first component of each pair in the collection as a key for grouping the corresponding values into a new collection. + +The `CollBuilderOps` class provides additional methods for working with Ergo's `CollBuilder` data structure. These methods include `outerJoin`, which performs an outer join operation between two collections and returns a collection of (K,O) pairs, where each key comes from either the left or right collection and values are produced by projections; and `fromMap`, which constructs a collection of (K,V) pairs using a `PairColl` representation, in which keys and values are stored as separate unboxed arrays. + +Overall, these implicit classes provide a wide range of functionality for working with collections in Ergo and can greatly simplify complex operations. +## Questions: + 1. What is the purpose of the `Extensions` object? +- The `Extensions` object contains several implicit classes that provide additional functionality to existing classes, such as `GenIterable`, `Coll`, and `CollBuilder`. + +2. What is the purpose of the `mapReduce` method in the `GenIterableOps` class? +- The `mapReduce` method applies a mapping function to each element of a collection, groups the elements by key, and reduces each group using a reduction function. The result is a new collection of (key, value) pairs, with one item for each group. + +3. What is the purpose of the `outerJoin` method in the `CollBuilderOps` class? +- The `outerJoin` method performs an outer join operation between two collections, using projection functions to produce values for each element of the left and right collections, and an inner projection function to produce values for matching items with the same key. The result is a new collection of (key, value) pairs, with keys coming from either the left or right collection and values produced by the projection functions. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.md new file mode 100644 index 0000000000..17f5284264 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.md @@ -0,0 +1,40 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JavaHelpers.scala) + +This code is part of the Ergo Platform SDK and provides various utilities and type conversions for working with Ergo blockchain data structures. It includes conversions between Java and Scala data types, as well as conversions between Ergo representations and generated API representations. + +The `Iso` trait defines a type-class for isomorphisms between types, which are used to define type-safe conversions between different representations of the same information. The `Iso` trait has two main methods: `to` and `from`, which convert between the two types. There are also several implicit instances of `Iso` for common conversions, such as `jbyteToByte`, `jshortToShort`, and `jintToInt`. + +The `JavaHelpers` object provides various utility methods and implicit classes for working with Ergo blockchain data structures, such as converting between base16 strings and byte arrays, creating Ergo addresses, and working with Ergo tokens. It also provides methods for working with collections, such as `collFrom`, `collToByteArray`, and `subtractTokenColls`. + +Here's an example of using the `Iso` trait to convert between Java and Scala data types: + +```scala +import org.ergoplatform.sdk.Iso._ + +val jInt: JInt = 42 +val scalaInt: Int = jInt.convertTo[Int] // Converts JInt to Int +val jIntBack: JInt = scalaInt.convertTo[JInt] // Converts Int back to JInt +``` + +And an example of using the `JavaHelpers` object to work with Ergo tokens: + +```scala +import org.ergoplatform.sdk.JavaHelpers._ + +val tokens: JList[ErgoToken] = ... +val tokensMap: mutable.LinkedHashMap[ModifierId, Long] = tokens.convertTo[mutable.LinkedHashMap[ModifierId, Long]] +``` + +Overall, this code provides a set of utilities and type conversions that can be used throughout the Ergo Platform SDK to work with Ergo blockchain data structures in a type-safe and convenient manner. +## Questions: + 1. **What is the purpose of the `Iso` trait and its implementations?** + + The `Iso` trait represents a type-class of isomorphisms between two types `A` and `B`. It is used to define type-full conversions between different data types, such as conversions between Java and Scala data types, and conversions between Ergo representations and generated API representations. The implementations of the `Iso` trait provide the actual conversion logic between the two types. + +2. **How does the `JavaHelpers` object help with Java interoperability?** + + The `JavaHelpers` object provides a set of utility methods and implicit classes that help with Java interoperability. It includes methods for converting between Java and Scala collections, decoding base16 strings, creating Ergo addresses, and other operations that are commonly used in Ergo applications. These methods make it easier for Java developers to work with Ergo and its data structures. + +3. **What is the purpose of the `extractAssets` method in the `JavaHelpers` object?** + + The `extractAssets` method takes an `IndexedSeq` of `ErgoBoxCandidate` objects and extracts a mapping of assets to their total amounts. It checks the amounts of assets in the boxes, ensuring that they are positive, and then summarizes and groups their corresponding amounts. This method is useful for computing the total amounts of assets in a set of boxes, such as when creating a transaction or computing the balance of a wallet. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.md new file mode 100644 index 0000000000..06a5c7ce4e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.md @@ -0,0 +1,53 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/JsonCodecs.scala) + +The `JsonCodecs` trait in this code provides JSON encoders and decoders for various data types used in the Ergo platform. These encoders and decoders are used to convert data between JSON and Scala objects, which is useful for data serialization and deserialization when communicating between different components of the Ergo platform or with external systems. + +The trait defines encoders and decoders for a wide range of data types, including cryptographic primitives (e.g., `ADKey`, `ADDigest`, `Digest32`), Ergo-specific data structures (e.g., `ErgoBox`, `ErgoLikeTransaction`, `ErgoLikeContext`), and Sigma language constructs (e.g., `EvaluatedValue`, `ErgoTree`, `SigmaValidationSettings`). It also provides utility methods for handling errors and converting between different data representations (e.g., `fromTry`, `fromOption`, `fromThrows`). + +Here's an example of how an encoder and decoder are defined for the `ErgoBox` data type: + +```scala +implicit val ergoBoxEncoder: Encoder[ErgoBox] = Encoder.instance({ box => + Json.obj( + "boxId" -> box.id.asJson, + "value" -> box.value.asJson, + "ergoTree" -> ErgoTreeSerializer.DefaultSerializer.serializeErgoTree(box.ergoTree).asJson, + "assets" -> box.additionalTokens.toArray.toSeq.asJson, + "creationHeight" -> box.creationHeight.asJson, + "additionalRegisters" -> box.additionalRegisters.asJson, + "transactionId" -> box.transactionId.asJson, + "index" -> box.index.asJson + ) +}) + +implicit val ergoBoxDecoder: Decoder[ErgoBox] = Decoder.instance({ cursor => + for { + value <- cursor.downField("value").as[Long] + ergoTreeBytes <- cursor.downField("ergoTree").as[Array[Byte]] + additionalTokens <- cursor.downField("assets").as[Seq[(ErgoBox.TokenId, Long)]] + creationHeight <- cursor.downField("creationHeight").as[Int] + additionalRegisters <- cursor.downField("additionalRegisters").as[Map[NonMandatoryRegisterId, EvaluatedValue[SType]]] + transactionId <- cursor.downField("transactionId").as[ModifierId] + index <- cursor.downField("index").as[Short] + } yield new ErgoBox( + value = value, + ergoTree = ErgoTreeSerializer.DefaultSerializer.deserializeErgoTree(ergoTreeBytes), + additionalTokens = additionalTokens.toColl, + additionalRegisters = additionalRegisters, + transactionId = transactionId, + index = index, + creationHeight = creationHeight + ) +}) +``` + +These encoders and decoders can be used in the larger project to serialize and deserialize data when communicating with external systems, storing data, or processing data within the Ergo platform. +## Questions: + 1. **Question**: What is the purpose of the `JsonCodecs` trait and how is it used in the project? + **Answer**: The `JsonCodecs` trait provides implicit JSON encoders and decoders for various data types used in the project. It is used to convert these data types to and from JSON format, which can be useful for communication between different components or for storing data in a human-readable format. + +2. **Question**: How are custom encoders and decoders defined for complex data types like `ErgoBox`, `ErgoLikeTransaction`, and `ErgoLikeContext`? + **Answer**: Custom encoders and decoders for complex data types are defined using the `Encoder.instance` and `Decoder.instance` methods, respectively. These methods take a function that describes how to convert the data type to or from a JSON representation. For example, the `ErgoBox` encoder is defined as `Encoder.instance({ box => ... })`, where the function inside the instance method describes how to convert an `ErgoBox` object to a JSON object. + +3. **Question**: What is the purpose of the `fromTry`, `fromOption`, and `fromThrows` methods, and how are they used in the code? + **Answer**: The `fromTry`, `fromOption`, and `fromThrows` methods are utility functions that help in handling errors while decoding JSON data. They convert a `Try`, `Option`, or a block that may throw an exception, respectively, into an `Either[DecodingFailure, T]`. This allows for a more consistent error handling approach when decoding JSON data, as any errors encountered can be represented as a `DecodingFailure` and handled accordingly. These methods are used throughout the code in various custom decoders. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.md new file mode 100644 index 0000000000..3362177c5d --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Prover.scala) + +The code defines a class called `Prover` that provides methods for signing transactions and messages using the Ergo blockchain platform. The class takes two parameters: `_prover`, which is an instance of `AppkitProvingInterpreter`, and `networkPrefix`, which is an instance of `ErgoAddressEncoder.NetworkPrefix`. + +The `Prover` class has several methods that allow for the creation of various types of addresses and the signing of transactions and messages. The `getP2PKAddress` method returns a `P2PKAddress` object, which is a pay-to-public-key address that can be used to receive funds. The `getSecretKey` method returns the private key associated with the `P2PKAddress` object. The `getEip3Addresses` method returns a sequence of `P2PKAddress` objects that can be used to receive funds. + +The `sign` method is used to sign a transaction. It takes an `ErgoLikeStateContext` object, which represents the current state of the blockchain, and an `UnreducedTransaction` object, which is the transaction to be signed. The method returns a `SignedTransaction` object, which is the signed version of the transaction. The `sign` method can also take an optional `baseCost` parameter, which is used to specify the minimum cost of executing the transaction. + +The `signMessage` method is used to sign a message. It takes a `SigmaProp` object, which is a cryptographic primitive used in the Ergo platform, a byte array representing the message to be signed, and a `HintsBag` object, which is used to provide additional information about the signing process. The method returns a byte array representing the signature of the message. + +The `reduce` method is used to reduce an `UnreducedTransaction` object to a `ReducedTransaction` object. The reduction process removes unnecessary data from the transaction, making it smaller and easier to process. The method takes an `ErgoLikeStateContext` object, an `UnreducedTransaction` object, and a `baseCost` parameter, which is used to specify the minimum cost of executing the transaction. The method returns a `ReducedTransaction` object. + +The `signReduced` method is used to sign a `ReducedTransaction` object. It takes a `ReducedTransaction` object and returns a `SignedTransaction` object. + +Overall, the `Prover` class provides a set of methods that can be used to sign transactions and messages on the Ergo blockchain platform. These methods can be used in conjunction with other classes and methods in the Ergo SDK to build applications that interact with the blockchain. +## Questions: + 1. What is the purpose of the `Prover` class? +- The `Prover` class provides methods for generating and signing transactions using an `AppkitProvingInterpreter` and a specified network prefix. + +2. What is the significance of the `ErgoAddressEncoder` and `NetworkPrefix` imports? +- The `ErgoAddressEncoder` and `NetworkPrefix` imports are used to encode and decode Ergo addresses with a specified network prefix. + +3. What is the purpose of the `signMessage` method? +- The `signMessage` method is used to sign a message with a specified `SigmaProp` and `HintsBag` using the `AppkitProvingInterpreter`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.md new file mode 100644 index 0000000000..79c551e2d4 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ProverBuilder.scala) + +The `ProverBuilder` class is a part of the Ergo Platform SDK and is used to build a `Prover` object that can be used to create proofs for transactions on the Ergo blockchain. The `ProverBuilder` class provides methods to add various types of secrets to the prover, such as mnemonic phrases, Diffie-Hellman tuples, and discrete logarithms. + +The `ProverBuilder` constructor takes two arguments: `parameters` of type `ErgoLikeParameters` and `networkPrefix` of type `NetworkPrefix`. The `ErgoLikeParameters` object contains various parameters that define the context in which the prover will operate, such as the block height, the minimum box value, and the cost of executing scripts. The `NetworkPrefix` object specifies the network prefix of the Ergo blockchain, which is used to encode and decode Ergo addresses. + +The `ProverBuilder` class has several methods that can be used to add secrets to the prover. The `withMnemonic` method takes a `mnemonicPhrase` and a `mnemonicPass` of type `SecretString` and a `usePre1627KeyDerivation` of type `Boolean`. The `mnemonicPhrase` is a BIP-39 mnemonic phrase that can be used to generate a master key for the prover. The `mnemonicPass` is an optional passphrase that can be used to further secure the mnemonic phrase. The `usePre1627KeyDerivation` flag specifies whether to use the pre-1627 key derivation scheme or the post-1627 key derivation scheme. The method returns the `ProverBuilder` object to allow for method chaining. + +The `withEip3Secret` method takes an `index` of type `Int` and generates a secret key using the EIP-3 key derivation scheme. The method requires that a master key has already been added using the `withMnemonic` method. The generated secret key is paired with its derivation path index and added to the `_eip2Keys` array buffer. The method returns the `ProverBuilder` object to allow for method chaining. + +The `withDHTData` method takes a `g`, `h`, `u`, `v`, and `x` of types `GroupElement` and `BigInteger`. These parameters are used to create a Diffie-Hellman tuple prover input using the `JavaHelpers.createDiffieHellmanTupleProverInput` method. The resulting prover input is added to the `_dhtSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining. + +The `withDLogSecret` method takes an `x` of type `BigInteger` and creates a discrete logarithm prover input using the `DLogProtocol.DLogProverInput` constructor. The resulting prover input is added to the `_dLogSecrets` array buffer. The method throws an exception if the same prover input has already been added. The method returns the `ProverBuilder` object to allow for method chaining. + +The `build` method creates a `Prover` object using the secrets that have been added to the `ProverBuilder`. The method first combines the master key and the EIP-3 secret keys into a single sequence of secret keys. It then creates an `AppkitProvingInterpreter` object using the secret keys, DLog secrets, DHT secrets, and ErgoLikeParameters. Finally, it creates a `Prover` object using the `AppkitProvingInterpreter` and the `networkPrefix`. The `Prover` object can be used to create proofs for transactions on the Ergo blockchain. + +Example usage: + +``` +val parameters = new ErgoLikeParameters(...) +val networkPrefix = NetworkPrefix.MainnetPrefix +val proverBuilder = new ProverBuilder(parameters, networkPrefix) +proverBuilder.withMnemonic(mnemonicPhrase, mnemonicPass, usePre1627KeyDerivation) +proverBuilder.withEip3Secret(index) +proverBuilder.withDHTData(g, h, u, v, x) +proverBuilder.withDLogSecret(x) +val prover = proverBuilder.build() +``` +## Questions: + 1. What is the purpose of the ProverBuilder class? +- The ProverBuilder class is used to build a Prover object that can be used to create proofs for Ergo transactions. + +2. What are the inputs required to create a ProverBuilder object? +- A ProverBuilder object requires an ErgoLikeParameters object and a NetworkPrefix object as inputs. + +3. What are the different methods available in the ProverBuilder class? +- The ProverBuilder class has methods for adding a mnemonic phrase, adding EIP-3 secret keys, adding Diffie-Hellman tuple secrets, adding DLog secrets, and building a Prover object. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.md new file mode 100644 index 0000000000..3102fa5b6e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.md @@ -0,0 +1,32 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/ReducingInterpreter.scala) + +# ReducingInterpreter Class + +The `ReducingInterpreter` class is a part of the Ergo Platform SDK and is used to reduce transactions with given chain parameters. The class extends the `ErgoLikeInterpreter` class and overrides its `CTX` type with `ErgoLikeContext`. It also imports various classes and objects from the SDK and other libraries. + +## reduce Method + +The `reduce` method takes in three parameters: `env`, `ergoTree`, and `context`. It reduces the given `ErgoTree` in the given context to the sigma proposition. The method returns a data object containing enough data to sign a transaction without context. + +The `initCost` is calculated by adding the complexity of the `ErgoTree` and the `initCost` of the context. If the `remainingLimit` is less than or equal to 0, a `CostLimitException` is thrown. The `ctxUpdInitCost` is the context with the updated `initCost`. The `fullReduction` method is called with the `ergoTree`, `ctxUpdInitCost`, and `env` as parameters. The result of the `fullReduction` method and the `extension` of the `ctxUpdInitCost` are used to create a `ReducedInputData` object which is returned. + +## reduceTransaction Method + +The `reduceTransaction` method takes in three parameters: `unreducedTx`, `stateContext`, and `baseCost`. It reduces inputs of the given unsigned transaction to provable sigma propositions using the given context. The method returns a new reduced transaction with all inputs reduced and the cost of this transaction. + +The `unsignedTx`, `boxesToSpend`, `dataBoxes`, and `tokensToBurn` are extracted from the `unreducedTx`. The `inputTokens` and `outputTokens` are extracted from the `boxesToSpend` and `unsignedTx.outputCandidates`, respectively. The `tokenDiff` is calculated by subtracting `inputTokens` from `outputTokens`. If `tokenDiff` is not empty, the method checks if tokens are to be burnt or minted. If tokens are to be burnt, the method checks if the requested tokens to burn match the tokens to be burnt. If tokens are to be minted, the method checks if only one token is being minted and if the token id is valid. + +The `initialCost` is calculated by adding the interpreter initialization cost, the input cost multiplied by the number of inputs, the data input cost multiplied by the number of data inputs, and the output cost multiplied by the number of output candidates. The `maxCost` is the maximum cost of the block. The `startCost` is the sum of the `baseCost` and the `initialCost`. The `transactionContext` is created with the boxes to spend, data inputs, and unsigned transaction. The `outAssets` and `outAssetsNum` are extracted from the `unsignedTx.outputCandidates`. The `inAssets` and `inAssetsNum` are extracted from the `boxesToSpend`. The `totalAssetsAccessCost` is calculated by adding the token access cost multiplied by the sum of `outAssetsNum` and `inAssetsNum` and the token access cost multiplied by the sum of the sizes of `inAssets` and `outAssets`. The `txCost` is the sum of the `startCost` and the `totalAssetsAccessCost`. + +The method then iterates through the `boxesToSpend` and creates a new `ErgoLikeContext` for each input. The `reduce` method is called with the `Interpreter.emptyEnv`, the `ergoTree` of the input box, and the context as parameters. The result of the `reduce` method and the `currentCost` are used to create a `ReducedInputData` object which is added to the `reducedInputs` array builder. The `ReducedErgoLikeTransaction` is created with the `unsignedTx` and the `reducedInputs`. The `ReducedTransaction` is created with the `reducedTx` and the `currentCost`. + +Overall, the `ReducingInterpreter` class provides methods to reduce an `ErgoTree` to a sigma proposition and to reduce inputs of an unsigned transaction to provable sigma propositions using a given context. +## Questions: + 1. What is the purpose of the `ReducingInterpreter` class? +- The `ReducingInterpreter` class is an interpreter that can reduce transactions with given chain parameters. + +2. What methods does the `ReducingInterpreter` class have? +- The `ReducingInterpreter` class has two methods: `reduce` and `reduceTransaction`. + +3. What exceptions can be thrown by the `reduce` method? +- The `reduce` method can throw a `CostLimitException` if the estimated execution cost exceeds the limit. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.md new file mode 100644 index 0000000000..905354e8a1 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.md @@ -0,0 +1,22 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/SecretString.scala) + +The code defines a class called SecretString that encapsulates a secret array of characters (char[]) with proper equality. The class provides a more secure and safe way of handling secret data than using char[] directly. The secret data can be erased in memory and not leaked to GC. + +The SecretString class has several methods that allow for creating new instances, checking if the string is empty, extracting secret characters as an array, erasing secret characters stored in the instance, and returning an unsecured String with secret characters. + +The create method creates a new instance of SecretString by wrapping the given characters or copying characters from the given String. The empty method creates a new instance with an empty sequence of characters. + +The SecretString class has a private erased flag that is set to true when the erase method is called. Calling any methods after erase() will throw a runtime exception. The checkErased method is used to check if the SecretString is erased before executing any method. + +The getData method returns the secret characters as an array. The erase method erases the secret characters stored in the instance so that they are no longer in memory. The toStringUnsecure method returns an unsecured String with secret characters. The secret characters are copied to the new String instance and cannot be erased in memory. + +The SecretString class is a useful tool for securely handling secret data in a project. It can be used to create new instances of SecretString with secret data, erase secret data stored in an instance, and extract secret data as an array. The class provides a more secure and safe way of handling secret data than using char[] directly. +## Questions: + 1. What is the purpose of the SecretString class? +- The SecretString class encapsulates a secret array of characters with proper equality and allows for the data to be erased in memory to prevent leakage to the garbage collector. It is more secure and safe than using char[] directly. + +2. How can a new instance of SecretString be created? +- A new instance of SecretString can be created using the static methods `create` with either an array of characters or a String, or `empty` to create an instance with an empty sequence of characters. + +3. What is the purpose of the `erase` method and what happens when it is called? +- The `erase` method erases the secret characters stored in the instance so that they no longer reside in memory. When called, it fills the array with spaces and sets the erased flag to true. Any subsequent method calls on the instance will throw a runtime exception. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.md new file mode 100644 index 0000000000..aced951b14 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.md @@ -0,0 +1,36 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Transactions.scala) + +The code defines three case classes: `UnreducedTransaction`, `ReducedTransaction`, and `SignedTransaction`. These classes represent different stages of a transaction in the Ergo blockchain platform. + +`UnreducedTransaction` represents a transaction that can be reduced to a `ReducedTransaction`. It takes in four parameters: `unsignedTx`, `boxesToSpend`, `dataInputs`, and `tokensToBurn`. `unsignedTx` is the original unsigned transaction that holds the message to sign. `boxesToSpend` is a sequence of input boxes of the transaction. `dataInputs` is a sequence of data inputs of the transaction. `tokensToBurn` is a sequence of requested tokens to be burnt in the transaction. If it is empty, no burning is allowed. The class also has two `require` statements that check if the length of `unsignedTx.inputs` is equal to the length of `boxesToSpend` and if the length of `unsignedTx.dataInputs` is equal to the length of `dataInputs`. It also has a private method `checkSameIds` that checks if the box ids of `unsignedTx.inputs` and `boxesToSpend` are the same and if the box ids of `unsignedTx.dataInputs` and `dataInputs` are the same. + +`ReducedTransaction` represents the result of a transaction reduction by `ReducingInterpreter`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the reduced transaction, and `cost` is the cost of the reduction. + +`SignedTransaction` represents the result of a transaction signing by a prover like `Prover`. It takes in two parameters: `ergoTx` and `cost`. `ergoTx` is the signed transaction, and `cost` is the cost of the signing. + +These classes are used in the larger Ergo blockchain platform to represent different stages of a transaction. For example, `UnreducedTransaction` is used to represent an unsigned transaction that needs to be reduced to a `ReducedTransaction`. `ReducedTransaction` is used to represent the result of the reduction, and `SignedTransaction` is used to represent the result of signing the transaction. These classes can be used in conjunction with other classes and methods in the Ergo platform to create, validate, and execute transactions on the blockchain. + +Example usage: + +```scala +val unsignedTx = new UnsignedErgoLikeTransaction(...) +val boxesToSpend = IndexedSeq(new ExtendedInputBox(...), new ExtendedInputBox(...)) +val dataInputs = IndexedSeq(new ErgoBox(...), new ErgoBox(...)) +val tokensToBurn = IndexedSeq(new ErgoToken(...), new ErgoToken(...)) +val unreducedTx = UnreducedTransaction(unsignedTx, boxesToSpend, dataInputs, tokensToBurn) + +val reducingInterpreter = new ReducingInterpreter(...) +val reducedTx = reducingInterpreter.reduce(unreducedTx) + +val prover = new Prover(...) +val signedTx = prover.sign(reducedTx) +``` +## Questions: + 1. What is the purpose of the `UnreducedTransaction` class and its parameters? +- The `UnreducedTransaction` class represents a transaction data that can be reduced to `ReducedTransaction`. Its parameters include the original unsigned transaction to be reduced, input boxes of the transaction, data inputs of the transaction, and requested tokens to be burnt in the transaction. + +2. What is the purpose of the `checkSameIds` method? +- The `checkSameIds` method is a private helper method that checks if two sequences of box IDs have the same IDs in the same order. It is used to ensure that `unsignedTx` and `boxesToSpend`, as well as `unsignedTx` and `dataInputs`, have the same box IDs in the same order. + +3. What is the purpose of the `SignedTransaction` case class? +- The `SignedTransaction` case class represents the results for transaction signing by a prover like `Prover`. Its parameters include the signed transaction and the cost of signing the transaction. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.md new file mode 100644 index 0000000000..7a8f08d5ec --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.md @@ -0,0 +1,59 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/Utils.scala) + +The `Utils` object contains several utility functions that can be used across the project. + +The `outerJoin` function performs an outer join operation between two maps, `left` and `right`. It takes three projection functions as arguments: `l`, `r`, and `inner`. The `l` function is executed for each element of the `left` map, the `r` function is executed for each element of the `right` map, and the `inner` function is executed for matching items `(K, L)` and `(K, R)` with the same key `K`. The function returns a map of `(K, O)` pairs, where each key comes from either the `left` or `right` map and values are produced by the projections. + +The `mapReduce` function is a performance-optimized deterministic mapReduce primitive. It takes an array `arr` to be mapped to `(K, V)` pairs, a mapper function `m`, and a value reduction function `r`. The function returns a pair of arrays `(keys, values)`, where keys appear in the order of their first production by `m`, and for each `i`, `values(i)` corresponds to `keys(i)`. + +The `mapToArrays` function takes a map `m` and returns a pair of arrays `(keys, values)`, where `keys` contains all the keys in the map, and `values` contains all the values in the map. + +The `IntegralFromExactIntegral` class can adapt an `ExactIntegral` instance to be used where `Integral` is required. It overrides all the methods of the `Integral` trait and delegates them to the corresponding methods of the `ExactIntegral` instance. + +These utility functions can be used in various parts of the project to perform common operations such as joining maps, mapping and reducing arrays, and adapting instances of `ExactIntegral` to be used as `Integral`. + +Example usage of `outerJoin`: + +``` +val left = Map("a" -> 1, "b" -> 2) +val right = Map("b" -> 3, "c" -> 4) + +val result = Utils.outerJoin(left, right)( + (k, l) => l.toString, + (k, r) => r.toString, + (k, l, r) => s"$l and $r" +) + +// result: Map(a -> 1, b -> 2 and 3, c -> 4) +``` + +Example usage of `mapReduce`: + +``` +val arr = Array(1, 2, 3, 4, 5) + +val (keys, values) = Utils.mapReduce(arr, (i: Int) => (i % 2, i), (v1: Int, v2: Int) => v1 + v2) + +// keys: Array(1, 0) +// values: Array(6, 9) +``` + +Example usage of `mapToArrays`: + +``` +val m = Map("a" -> 1, "b" -> 2, "c" -> 3) + +val (keys, values) = Utils.mapToArrays(m) + +// keys: Array(a, b, c) +// values: Array(1, 2, 3) +``` +## Questions: + 1. What does the `outerJoin` function do and how does it handle matching items? +- The `outerJoin` function performs an outer join operation between two maps, with optional projection functions for each map and a projection function for matching items. It returns a map of (K, O) pairs, where each key comes from either the left or right collection and values are produced by projections. Matching items are handled by executing the inner projection function for (K, L, R) pairs with the same key K. + +2. What is the purpose of the `mapReduce` function and how is it optimized for performance? +- The `mapReduce` function is a performance-optimized deterministic mapReduce primitive that maps an array to (K, V) pairs and reduces values by key. It returns a pair of arrays (keys, values), where keys appear in order of their first production by the mapper function and values correspond to keys. It is optimized for performance by using a HashMap to track key positions and an ArrayBuilder to construct the keys and values arrays. + +3. What is the `IntegralFromExactIntegral` class and how does it adapt an `ExactIntegral` instance? +- The `IntegralFromExactIntegral` class adapts an `ExactIntegral` instance to be used where `Integral` is required. It overrides the `Integral` methods with equivalent methods from `ExactIntegral`. It also provides a `parseString` method that throws a `NotImplementedError` since it is not supported by `ExactIntegral`. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.md new file mode 100644 index 0000000000..6a7dc0b122 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/ArithUtils.scala) + +The `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides two methods for performing arithmetic operations on `Long` values. The first method, `addExact`, adds two `Long` values and returns the result. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the bitwise XOR operator to check for overflow. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred. + +The second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method. + +The third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead. + +These methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element. + +Example usage: + +``` +val a = 9223372036854775807L // Long.MaxValue +val b = 1L +val c = 2L +val d = 3L +val sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue +``` +## Questions: + 1. What is the purpose of the `ArithUtils` object? +- The `ArithUtils` object provides methods for performing arithmetic operations on long values while handling overflow conditions. + +2. What does the `addExact` method do? +- The `addExact` method adds two or more long values and returns the sum, but if there is any overflow, it returns `Long.MaxValue`. + +3. What does the `multiplyExact` method do? +- The `multiplyExact` method multiplies two long values and returns the product, but if there is any overflow, it returns `Long.MaxValue`. It uses the `java7.compat.Math.multiplyExact` method to perform the multiplication. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.md new file mode 100644 index 0000000000..bd33d79915 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils/summary.md @@ -0,0 +1,37 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/utils) + +The `ArithUtils` object in the `org.ergoplatform.sdk.utils` package provides utility methods for performing arithmetic operations on `Long` values with overflow checking. This is particularly important in cryptographic applications where overflow can lead to security vulnerabilities. + +The first method, `addExact`, takes two `Long` values as input and returns their sum. If the addition operation results in an overflow, the method returns `Long.MaxValue`. The method checks for overflow using the bitwise XOR operator. If the XOR of the two input values and the sum of the two input values is negative, then an overflow has occurred. + +Example usage: + +```scala +val a = 9223372036854775807L // Long.MaxValue +val b = 1L +val sum = ArithUtils.addExact(a, b) // returns Long.MaxValue +``` + +The second method, `addExact`, is an overloaded version of the first method that allows for an arbitrary number of `Long` values to be added together. The method uses the `foldLeft` method to iterate over the input values and accumulate the sum using the `addExact` method. + +Example usage: + +```scala +val a = 9223372036854775807L // Long.MaxValue +val b = 1L +val c = 2L +val d = 3L +val sum = ArithUtils.addExact(a, b, c, d) // returns Long.MaxValue +``` + +The third method, `multiplyExact`, multiplies two `Long` values and returns the result. If the multiplication operation results in an overflow, the method returns `Long.MaxValue`. The method is implemented using the `java7.compat.Math.multiplyExact` method, which throws an exception if an overflow occurs. The method catches the exception and returns `Long.MaxValue` instead. + +Example usage: + +```scala +val a = 9223372036854775807L // Long.MaxValue +val b = 2L +val product = ArithUtils.multiplyExact(a, b) // returns Long.MaxValue +``` + +These methods can be used in the larger project to perform arithmetic operations on `Long` values with the added safety of checking for overflow. For example, the `addExact` method could be used to add together the outputs of multiple cryptographic operations, while the `multiplyExact` method could be used to calculate the size of a data structure based on the number of elements and the size of each element. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.md new file mode 100644 index 0000000000..45b9fb0fdb --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.md @@ -0,0 +1,92 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/AssetUtils.scala) + +The `AssetUtils` object provides utility functions for working with token assets in the Ergo blockchain. The functions are designed to work with `TokensMap`, which is a type alias for `Map[ModifierId, Long]`. The `ModifierId` is a unique identifier for a transaction output, and the `Long` value represents the amount of tokens associated with that output. + +The `mergeAssetsMut` function takes a mutable map `into` and one or more `TokensMap` instances `from`. It merges the `from` maps into the `into` map by adding the token amounts for each `ModifierId`. If a `ModifierId` is present in both the `into` and `from` maps, the amounts are added together. This function modifies the `into` map in place. + +```scala +val into: mutable.Map[ModifierId, Long] = mutable.Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 100L +) +val from1: TokensMap = Map( + ModifierId @@ Array.fill(32)(1.toByte) -> 50L +) +val from2: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 25L +) +AssetUtils.mergeAssetsMut(into, from1, from2) +// into now contains: +// Map( +// ModifierId @@ Array.fill(32)(0.toByte) -> 125L, +// ModifierId @@ Array.fill(32)(1.toByte) -> 50L +// ) +``` + +The `mergeAssets` function is similar to `mergeAssetsMut`, but it returns a new `TokensMap` instead of modifying an existing one. It takes an initial `TokensMap` and one or more additional `TokensMap` instances to merge into it. The resulting `TokensMap` contains the merged token amounts. + +```scala +val initialMap: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 100L +) +val map1: TokensMap = Map( + ModifierId @@ Array.fill(32)(1.toByte) -> 50L +) +val map2: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 25L +) +val merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2) +// merged contains: +// Map( +// ModifierId @@ Array.fill(32)(0.toByte) -> 125L, +// ModifierId @@ Array.fill(32)(1.toByte) -> 50L +// ) +``` + +The `subtractAssets` function takes an initial `TokensMap` and one or more `TokensMap` instances to subtract from it. It returns a new `TokensMap` with the token amounts subtracted. If a `ModifierId` is present in both the initial map and the subtractor maps, the amounts are subtracted from the initial map. If the resulting amount is zero, the `ModifierId` is removed from the map. + +```scala +val initialMap: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 100L, + ModifierId @@ Array.fill(32)(1.toByte) -> 50L +) +val subtractor1: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 25L +) +val subtractor2: TokensMap = Map( + ModifierId @@ Array.fill(32)(1.toByte) -> 75L +) +val subtracted: TokensMap = AssetUtils.subtractAssets(initialMap, subtractor1, subtractor2) +// subtracted contains: +// Map( +// ModifierId @@ Array.fill(32)(0.toByte) -> 75L +// ) +``` + +The `subtractAssetsMut` function takes a mutable map `from` and a `TokensMap` `subtractor`. It subtracts the token amounts in the `subtractor` map from the `from` map. If the resulting amount is zero, the `ModifierId` is removed from the `from` map. This function modifies the `from` map in place. + +```scala +val from: mutable.Map[ModifierId, Long] = mutable.Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 100L, + ModifierId @@ Array.fill(32)(1.toByte) -> 50L +) +val subtractor: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 25L, + ModifierId @@ Array.fill(32)(1.toByte) -> 75L +) +AssetUtils.subtractAssetsMut(from, subtractor) +// from now contains: +// Map( +// ModifierId @@ Array.fill(32)(0.toByte) -> 75L +// ) +``` + +Overall, these utility functions provide a convenient way to work with token assets in the Ergo blockchain. They can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens. +## Questions: + 1. What is the purpose of the `AssetUtils` object? +- The `AssetUtils` object provides utility functions for merging and subtracting token maps. + +2. What is the difference between the `mergeAssetsMut` and `mergeAssets` functions? +- The `mergeAssetsMut` function takes a mutable map as its first argument and modifies it in place, while the `mergeAssets` function returns a new map without modifying the original. + +3. What happens if the `subtractAssets` function is called with a negative amount for a token or with an amount greater than the current balance? +- The function will throw an exception with an appropriate error message indicating that the subtraction is invalid. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.md new file mode 100644 index 0000000000..d98a33c1e6 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.md @@ -0,0 +1,38 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/Constants.scala) + +The code defines a set of constants used in the Ergo Platform SDK wallet. The `Constants` object contains several values that are used throughout the project. + +The `ModifierIdLength` constant is used to specify the length of the modifier ID in the protocol and should not be changed. + +The `CoinType` constant is used to define the coin type for the wallet. It is calculated based on the ASCII values of the letters in the word "ergo" and is used in the derivation path for the wallet. + +The `MaxAssetsPerBox` constant specifies the maximum number of tokens that can be stored in a single box due to a byte size limit for the Ergo box. + +The `preEip3DerivationPath` and `eip3DerivationPath` constants define the derivation paths for the wallet before and after the implementation of EIP-3. These paths are used to generate addresses for the wallet. + +The `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants are used in the generation of mnemonic phrases for the wallet. They specify the allowed sizes for the mnemonic sentence, the allowed strengths for the entropy, and the allowed lengths for the entropy, respectively. + +Overall, this code provides a set of constants that are used throughout the Ergo Platform SDK wallet to ensure consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet. + +Example usage: + +```scala +import org.ergoplatform.sdk.wallet.Constants + +val coinType = Constants.CoinType +val maxAssets = Constants.MaxAssetsPerBox +val preEip3Path = Constants.preEip3DerivationPath +val eip3Path = Constants.eip3DerivationPath +val sentenceSizes = Constants.MnemonicSentenceSizes +val allowedStrengths = Constants.AllowedStrengths +val allowedLengths = Constants.AllowedEntropyLengths +``` +## Questions: + 1. What is the purpose of the `Constants` object? +- The `Constants` object contains various constants used in the project, such as `ModifierIdLength`, `CoinType`, `MaxAssetsPerBox`, and others. + +2. What is the significance of the `preEip3DerivationPath` and `eip3DerivationPath` constants? +- These constants define the derivation paths used for generating wallet addresses before and after the implementation of EIP-3, respectively. + +3. What are the `MnemonicSentenceSizes`, `AllowedStrengths`, and `AllowedEntropyLengths` constants used for? +- These constants define the allowed sizes and strengths of mnemonic sentences and entropy lengths for generating wallet seeds. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.md new file mode 100644 index 0000000000..eaa62a4f3c --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/package.scala) + +The code above defines a package object called "wallet" within the "org.ergoplatform.sdk" package. This package object contains a type alias called "TokensMap", which is a Map data structure that maps ModifierId objects to Long values. + +The purpose of this code is to provide a convenient way to represent a mapping of tokens to their corresponding amounts. This can be useful in the context of a cryptocurrency wallet, where a user may hold multiple types of tokens and need to keep track of their balances. + +For example, if a user has 10 Ergo tokens and 5 Bitcoin tokens in their wallet, the TokensMap could be represented as follows: + +``` +val tokens: TokensMap = Map( + ModifierId("ErgoToken") -> 10L, + ModifierId("BitcoinToken") -> 5L +) +``` + +This code can be used in conjunction with other parts of the project to implement wallet functionality, such as displaying token balances to the user or performing transactions between different token types. + +Overall, the TokensMap type alias provides a simple and flexible way to represent token balances within the Ergo Platform SDK. +## Questions: + 1. What is the purpose of the `org.ergoplatform.sdk` package? + - This package likely contains code related to the Ergo blockchain platform, but without more context it's difficult to determine its specific purpose. + +2. What is the significance of the `scorex.util.ModifierId` import? + - This import likely provides access to a data type used to identify and modify blockchain transactions or blocks. + +3. What is the purpose of the `TokensMap` type alias defined in the `wallet` package object? + - This type alias defines a mapping between `ModifierId` objects and `Long` values, likely used to represent token balances in a cryptocurrency wallet. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.md new file mode 100644 index 0000000000..74bf708888 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeParameters.scala) + +The code defines a trait called ErgoLikeParameters, which represents a set of blockchain parameters that can be readjusted via miners voting and voting-related data. These parameters are included in the extension section of the first block of a voting epoch. + +The trait contains several methods that return the values of different parameters. These parameters include the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, the cost of a token contained in a transaction, the cost of a transaction input, the cost of a transaction data input, the cost of a transaction output, and the computation units limit per block. + +In addition to these parameters, the trait also includes methods that return the height when voting for a soft-fork had been started, the votes for soft-fork collected in previous epochs, and the protocol version. + +This code is likely used in a larger project that involves blockchain technology and mining. The ErgoLikeParameters trait provides a way to read and adjust various blockchain parameters that can affect the behavior of the blockchain. These parameters can be adjusted via miners voting and voting-related data, which allows for decentralized decision-making. + +Here is an example of how one of these methods might be used: + +``` +val params: ErgoLikeParameters = // get parameters from somewhere +val storageFeeFactor: Int = params.storageFeeFactor +println(s"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs") +``` + +This code gets the storageFeeFactor parameter from an instance of ErgoLikeParameters and prints it to the console. +## Questions: + 1. What is the purpose of this code and what does it do? + + This code defines a trait called ErgoLikeParameters which contains various parameters related to the blockchain, such as the cost of storing data, transaction output, input, and token access, as well as the maximum block size and computation units limit per block. It also includes fields related to miners voting and voting-related data. + +2. What are the expected data types for the return values of the methods defined in this trait? + + The return types for the methods defined in this trait are all Int, except for softForkStartingHeight and softForkVotesCollected which are both Option[Int], and blockVersion which is Byte. + +3. Are all the parameters defined in this trait adjustable via miners voting or just some of them? + + It is not explicitly stated which parameters are adjustable via miners voting, but it is mentioned that all the fields included in the extension section of a first block of a voting epoch are related to miners voting and voting-related data. Therefore, it can be assumed that all the parameters defined in this trait may be adjustable via miners voting. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.md new file mode 100644 index 0000000000..e098c0897a --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.md @@ -0,0 +1,27 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/ErgoLikeStateContext.scala) + +The code provided defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait is called ErgoLikeStateContext and it defines three methods. The first method, sigmaLastHeaders, returns a fixed number of last block headers (10 in Ergo). The second method, previousStateDigest, returns the UTXO set digest from the last header of sigmaLastHeaders. The third method, sigmaPreHeader, returns the pre-header (header without certain fields) of the current block. + +The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and takes in three parameters: sigmaLastHeaders, previousStateDigest, and sigmaPreHeader. These parameters are then used to initialize the corresponding methods in the trait. + +This code is important in the larger project because it provides the necessary context for validating transactions on the Ergo platform. The sigmaLastHeaders method provides information about the previous blocks, while the previousStateDigest method provides the UTXO set digest from the last header. The sigmaPreHeader method provides information about the current block being validated. + +Here is an example of how this code might be used in the larger project: + +``` +val context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader) +val tx = ErgoTransaction(inputs, outputs, dataInputs) +val verifier = new ErgoLikeTransactionVerifier() +val result = verifier.verify(tx, context) +``` + +In this example, a new context is created using the CErgoLikeStateContext case class and the necessary parameters. An ErgoTransaction is then created using inputs, outputs, and dataInputs. Finally, a new ErgoLikeTransactionVerifier is created and the transaction and context are passed in to the verify method. The result of the verification is then returned. +## Questions: + 1. What is the purpose of the `ErgoLikeStateContext` trait? + - The `ErgoLikeStateContext` trait is used in transaction validation within the blockchain context. + +2. What is the difference between `sigmaLastHeaders` and `previousStateDigest`? + - `sigmaLastHeaders` returns a fixed number of last block headers, while `previousStateDigest` returns the UTXO set digest from the last header of `sigmaLastHeaders`. + +3. What is the purpose of the `CErgoLikeStateContext` case class? + - The `CErgoLikeStateContext` case class implements the `ErgoLikeStateContext` trait and provides concrete implementations for the trait's methods. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.md new file mode 100644 index 0000000000..965679c08b --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/TransactionContext.scala) + +The code provided is a Scala class called TransactionContext, which is part of the Ergo Platform SDK wallet protocol context. This class is responsible for managing the execution context related to spending transactions. + +The TransactionContext class takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The boxesToSpend parameter is an IndexedSeq of ErgoBox objects, which represent the inputs of the transaction. The dataBoxes parameter is also an IndexedSeq of ErgoBox objects, but these are read-only data inputs of the transaction. Finally, the spendingTransaction parameter is an ErgoLikeTransactionTemplate object, which represents the spending transaction itself. + +The purpose of this class is to provide a context for executing spending transactions. It allows developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions, as well as to generate output candidates in ErgoLikeContext. + +One potential use case for this class is in the development of a cryptocurrency wallet application. The TransactionContext class could be used to manage the inputs and data inputs of a transaction when sending cryptocurrency from one wallet to another. It could also be used to validate the transaction and generate output candidates before broadcasting the transaction to the network. + +Overall, the TransactionContext class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions. +## Questions: + 1. What is the purpose of the TransactionContext class? +- The TransactionContext class represents part of the execution context for spending a transaction, including inputs, data inputs, and the spending transaction itself. + +2. What is the significance of the ErgoLikeTransactionTemplate and UnsignedInput types? +- The ErgoLikeTransactionTemplate type is a template for an Ergo transaction, while UnsignedInput represents an input to a transaction that has not yet been signed. + +3. What is the meaning of the TODO comment in the code? +- The TODO comment suggests that the TransactionContext class may be simplified in the future after a refactoring of the ErgoLikeContext in sigma. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.md new file mode 100644 index 0000000000..63ec32f8c8 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context/summary.md @@ -0,0 +1,26 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context) + +The `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/context` folder contains code related to the Ergo Platform SDK wallet protocol context. This context is essential for managing and validating transactions on the Ergo platform. + +**ErgoLikeParameters.scala** defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining. + +Example usage: + +```scala +val params: ErgoLikeParameters = // get parameters from somewhere +val storageFeeFactor: Int = params.storageFeeFactor +println(s"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs") +``` + +**ErgoLikeStateContext.scala** defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform. + +Example usage: + +```scala +val context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader) +val tx = ErgoTransaction(inputs, outputs, dataInputs) +val verifier = new ErgoLikeTransactionVerifier() +val result = verifier.verify(tx, context) +``` + +**TransactionContext.scala** is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.md new file mode 100644 index 0000000000..71d9e06902 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol/summary.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/protocol) + +The code in this folder is part of the Ergo Platform SDK wallet protocol and is responsible for managing and validating transactions on the Ergo platform. It consists of three main Scala files: `ErgoLikeParameters.scala`, `ErgoLikeStateContext.scala`, and `TransactionContext.scala`. + +`ErgoLikeParameters.scala` defines a trait called ErgoLikeParameters, which represents a set of adjustable blockchain parameters. These parameters can be read and modified via miners voting and voting-related data. The trait contains methods that return the values of various parameters, such as the cost of storing 1 byte in UTXO for four years, the cost of a transaction output, the max block size, and more. This trait is crucial for decentralized decision-making in the larger project involving blockchain technology and mining. + +Example usage: + +```scala +val params: ErgoLikeParameters = // get parameters from somewhere +val storageFeeFactor: Int = params.storageFeeFactor +println(s"Cost of storing 1 byte in UTXO for four years: $storageFeeFactor nanoErgs") +``` + +`ErgoLikeStateContext.scala` defines a trait and a case class that represent the blockchain context used in transaction validation for the Ergo platform. The trait, ErgoLikeStateContext, defines methods that return information about the previous blocks, the UTXO set digest from the last header, and the pre-header of the current block. The case class, CErgoLikeStateContext, implements the ErgoLikeStateContext trait and initializes the corresponding methods with the provided parameters. This code is essential for providing the necessary context for validating transactions on the Ergo platform. + +Example usage: + +```scala +val context = CErgoLikeStateContext(lastHeaders, stateDigest, preHeader) +val tx = ErgoTransaction(inputs, outputs, dataInputs) +val verifier = new ErgoLikeTransactionVerifier() +val result = verifier.verify(tx, context) +``` + +`TransactionContext.scala` is a Scala class that manages the execution context related to spending transactions. It takes three parameters: boxesToSpend, dataBoxes, and spendingTransaction. The class provides a context for executing spending transactions, allowing developers to manage the inputs and data inputs of a transaction, as well as the transaction itself. This context can be used to validate and execute spending transactions and generate output candidates in ErgoLikeContext. This class is an important component of the Ergo Platform SDK wallet protocol context, providing developers with a powerful tool for managing spending transactions. + +In summary, the code in this folder is essential for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.md new file mode 100644 index 0000000000..c6a3b7c6b6 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.md @@ -0,0 +1,24 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/DerivationPath.scala) + +The code defines a class called `DerivationPath` which represents a hierarchical deterministic (HD) key derivation path. The HD key derivation path is a sequence of integers that represents a path from the root of a tree of keys to a particular key. The class has methods to encode and decode the path as a string, to convert the path to a public or private branch, to find the next available path index for a new key, and to check if the path corresponds to a specific derivation path. + +The `DerivationPath` class has a constructor that takes a sequence of integers and a boolean flag indicating whether the path is from the public or private branch. The class has methods to get the depth of the path, the last element of the path, and whether the path is a master path. The class also has methods to create a new path by extending the current path with a new index, increasing the last element of the path, and converting the path to a public or private branch. + +The `DerivationPath` class has a method to encode the path as a parsable string. The method first checks whether the path is from the public or private branch and adds the appropriate prefix to the string. The method then converts each element of the path to a string and adds a forward slash between each element. + +The `DerivationPath` class has a method to find the next available path index for a new key. The method takes a list of previously generated keys and a boolean flag indicating whether to use pre-EIP3 derivation or not. The method first checks whether there are any keys generated and whether the last key is a master key. If there are no keys generated or the last key is a master key, the method returns the first key in the specified derivation path. If the last key corresponds to the EIP-3 derivation path, the method returns a new path with the last element increased by one. Otherwise, the method finds the maximum index of the last non-hardened segment of each key and returns a new path with the last non-hardened segment increased by one. + +The `DerivationPath` class has a method to check whether the path corresponds to the EIP-3 derivation path. The method checks whether the tail of the path matches the first three elements of the EIP-3 derivation path. + +The `DerivationPath` class has a method to convert the path to a byte array using a `DerivationPathSerializer`. The `DerivationPathSerializer` is a Sigma serializer that serializes the path as a sequence of bytes. The `DerivationPathSerializer` has methods to serialize and parse the path. + +Overall, the `DerivationPath` class provides a way to represent and manipulate HD key derivation paths. The class can be used in the larger project to generate and manage keys for the Ergo platform. For example, the class can be used to generate new keys for transactions or to manage the keys in a wallet. +## Questions: + 1. What is the purpose of the DerivationPath class? +- The DerivationPath class represents a hierarchical deterministic (HD) key derivation path, as defined in the BIP-32 specification, and provides methods for encoding, decoding, and manipulating such paths. + +2. What is the difference between a public and private branch in a derivation path? +- A public branch in a derivation path corresponds to a chain of public keys, while a private branch corresponds to a chain of private keys. Public branches can be used to derive child public keys, while private branches can be used to derive child private keys. + +3. What is the purpose of the DerivationPathSerializer class? +- The DerivationPathSerializer class is a SigmaSerializer implementation that provides methods for serializing and deserializing DerivationPath objects to and from byte arrays, respectively. This allows for the efficient storage and transmission of HD key derivation paths. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.md new file mode 100644 index 0000000000..ba034c4827 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.md @@ -0,0 +1,28 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedKey.scala) + +The code defines a trait called `ExtendedKey` which is used to represent extended private and public keys in a cryptocurrency wallet. The trait defines two subtypes of extended keys: `k` for private keys and `K` for public keys. Each extended key is represented as a tuple of the key and a chain code `c`. The chain code is a 32-byte value that is identical for corresponding private and public keys. + +The trait also defines a method `child(idx: Int): T` which is used to compute the corresponding child extended key given a parent extended key and an index `idx`. The algorithm to compute the child key depends on whether the child is a hardened key or not, and whether we're talking about private or public keys. The trait does not provide an implementation for this method, but it is expected to be implemented in derived classes. + +The `derive(upPath: DerivationPath): T` method is used to derive a child key from a parent key given a derivation path. The method checks that the given derivation path is compatible with the current path and then iteratively computes the child key using the `child` method. + +Overall, this code provides a foundation for working with extended keys in a cryptocurrency wallet. It allows for the computation of child keys from parent keys and provides a way to represent extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. + +Example usage: + +```scala +// create a Bitcoin extended private key +val privateKey = new BitcoinExtendedPrivateKey(k, c, path) + +// derive a child key from the parent key +val childKey = privateKey.derive(DerivationPath("m/0/1")) +``` +## Questions: + 1. What is the purpose of the ExtendedKey trait? +- The ExtendedKey trait defines the basic structure and functionality of extended private and public keys, including the ability to derive child keys. + +2. What is the significance of the chain code in extended keys? +- The chain code is an extra 256 bits of entropy added to both private and public keys, which is identical for corresponding keys and is used in the derivation of child keys. + +3. What is the purpose of the derive method in the ExtendedKey trait? +- The derive method takes a derivation path and returns the corresponding extended key, ensuring that the path is compatible with the current key and using the child method to derive the key. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.md new file mode 100644 index 0000000000..e2e63647b0 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedPublicKey.scala) + +The code defines a class called `ExtendedPublicKey` which represents a public key, its chain code, and its path in a key tree. This class is used in the larger project to derive child public keys from a given parent public key. The `ExtendedPublicKey` class has three fields: `keyBytes`, `chainCode`, and `path`. `keyBytes` is an array of bytes representing the public key, `chainCode` is an array of bytes representing the chain code, and `path` is an instance of the `DerivationPath` class representing the path in the key tree. + +The `ExtendedPublicKey` class has two methods: `key` and `child`. The `key` method returns an instance of `ProveDlog` which represents the public key. The `child` method takes an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. The `ExtendedPublicKey` class also overrides the `equals`, `hashCode`, and `toString` methods. + +The `ExtendedPublicKey` object has a method called `deriveChildPublicKey` which takes a parent public key and an integer `idx` and returns a new instance of `ExtendedPublicKey` representing the child public key at the given index. This method uses the `CryptoFacade` object to derive the child public key from the parent public key and the index. The `deriveChildPublicKey` method is tail-recursive and supports public key derivation for non-hardened keys. + +The `ExtendedPublicKeySerializer` object defines a serializer for the `ExtendedPublicKey` class. This serializer is used to serialize and deserialize instances of `ExtendedPublicKey` to and from bytes. + +Overall, this code provides functionality for deriving child public keys from a given parent public key. This is useful in the larger project for generating a hierarchy of public keys for use in a hierarchical deterministic wallet. +## Questions: + 1. What is the purpose of the ExtendedPublicKey class? +- The ExtendedPublicKey class represents a public key, its chain code, and path in a key tree, following the BIP-0032 specification. + +2. What is the purpose of the deriveChildPublicKey method in the ExtendedPublicKey object? +- The deriveChildPublicKey method is used to derive a child public key from a parent public key, following the BIP-0032 specification. + +3. What is the purpose of the ExtendedPublicKeySerializer object? +- The ExtendedPublicKeySerializer object is used to serialize and deserialize ExtendedPublicKey objects, including their key bytes, chain code, and derivation path. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.md new file mode 100644 index 0000000000..6aa5beec03 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/ExtendedSecretKey.scala) + +The code defines a class called `ExtendedSecretKey` which represents a secret key, its chain code, and its path in a key tree. The class extends `ExtendedKey` and implements `SecretKey`. It also defines methods for deriving child secret keys, computing public keys, and checking if the key is erased. + +The `ExtendedSecretKey` class is used in the larger project for generating and managing secret keys. It is part of a larger wallet system that allows users to store and manage their cryptocurrency assets. The `ExtendedSecretKey` class is used to derive child keys from a parent key, which is useful for generating a hierarchical deterministic (HD) wallet. HD wallets allow users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. + +The `ExtendedSecretKey` class also provides methods for computing public keys and checking if the key is erased. The `publicKey` method computes the corresponding public key for the secret key, while the `isErased` method checks if the key has been erased (i.e., all bytes are zero). + +The `ExtendedSecretKey` class is serialized using the `SigmaSerializer` interface, which allows instances of the class to be converted to and from byte arrays. The `ExtendedSecretKeySerializer` object provides methods for serializing and deserializing instances of the `ExtendedSecretKey` class. + +Overall, the `ExtendedSecretKey` class is an important component of the larger wallet system and provides functionality for generating and managing secret keys. Its methods for deriving child keys and computing public keys make it useful for generating HD wallets, while its serialization methods allow instances of the class to be stored and retrieved from disk. +## Questions: + 1. What is the purpose of the ExtendedSecretKey class? +- The ExtendedSecretKey class represents a secret key, its chain code, and path in a key tree, and is used for key derivation. + +2. What is the difference between the deriveChildSecretKey and deriveChildPublicKey methods in the ExtendedSecretKey object? +- The deriveChildSecretKey method derives a child secret key from a parent secret key, while the deriveChildPublicKey method derives a child public key from a parent secret key. + +3. What is the usePre1627KeyDerivation parameter in the deriveMasterKey method of the ExtendedSecretKey object? +- The usePre1627KeyDerivation parameter is used to specify whether to use the incorrect (previous) BIP32 derivation method, and is expected to be false for new wallets and true for old pre-1627 wallets. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.md new file mode 100644 index 0000000000..854b02e8bc --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/Index.scala) + +The code in this file defines a Scala object called "Index" that contains several methods related to indexing and serialization of integers. The purpose of this code is to provide a set of utility functions that can be used by other parts of the project to manage and manipulate indexes. + +The first method defined in the object is "hardIndex", which takes an integer as input and returns a new integer with the HardRangeStart value (0x80000000) bitwise ORed with the input integer. This method is used to create a "hardened" index, which is a special type of index used in certain cryptographic protocols. + +The second method, "isHardened", takes an integer as input and returns a boolean indicating whether the input integer is a hardened index. This method is used to check whether an index is hardened before performing certain operations on it. + +The third method, "serializeIndex", takes an integer as input and returns an array of bytes representing the serialized form of the integer. This method is used to convert an index into a format that can be stored or transmitted. + +The fourth method, "parseIndex", takes an array of bytes as input and returns the integer value represented by the bytes. This method is used to convert a serialized index back into its original integer form. + +Overall, this code provides a set of utility functions that can be used to manage and manipulate indexes in a standardized way. Other parts of the project can use these functions to ensure consistency and compatibility when working with indexes. For example, if a module needs to serialize an index for storage in a database, it can use the "serializeIndex" method to ensure that the index is stored in a consistent format. Similarly, if a module needs to check whether an index is hardened before performing a cryptographic operation, it can use the "isHardened" method to ensure that the operation is performed correctly. +## Questions: + 1. What is the purpose of the `Index` object and its methods? + - The `Index` object provides methods for working with indexes in a specific range and converting them to and from byte arrays. +2. What is the significance of the `HardRangeStart` value? + - The `HardRangeStart` value is used to mark indexes in a specific range as "hardened", which is a concept in cryptography that adds additional security to certain operations. +3. Are there any potential issues with the `serializeIndex` and `parseIndex` methods? + - It is possible that these methods may not handle edge cases or unexpected input correctly, so it would be important to thoroughly test them and potentially add error handling. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.md new file mode 100644 index 0000000000..d9c4706511 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/SecretKey.scala) + +This code defines a set of traits and classes for handling secret keys in the Ergo Platform SDK wallet. The purpose of this code is to provide a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. + +The `SecretKey` trait defines a basic interface for secret data, with a single method `privateInput` that returns the private input of a Sigma protocol. This trait is extended by the `PrimitiveSecretKey` trait, which represents a secret that does not have a derivation scheme. + +The `PrimitiveSecretKey` object provides a factory method for creating instances of `PrimitiveSecretKey` from a `SigmaProtocolPrivateInput`. This method uses pattern matching to determine the type of the input and returns either a `DlogSecretKey` or a `DhtSecretKey` instance, depending on the input type. + +The `DlogSecretKey` and `DhtSecretKey` classes represent secret exponents of a group element, i.e. secret `w` such as `h = g^^w`, where `g` is a group generator and `h` is a public key. `DlogSecretKey` represents the secret exponent of a group element in a discrete logarithm group, while `DhtSecretKey` represents the secret exponent of a Diffie-Hellman tuple. Both classes take a private input in the form of a Sigma-protocol private input as a constructor argument. + +Overall, this code provides a basic framework for handling secret keys in the Ergo Platform SDK wallet. It allows for the creation of instances of `PrimitiveSecretKey`, which can be used to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples. These secret keys can then be used in other parts of the wallet to perform various cryptographic operations. + +Example usage: + +``` +val dlogInput = DLogProverInput(...) +val dlogSecretKey = DlogSecretKey(dlogInput) + +val dhtInput = DiffieHellmanTupleProverInput(...) +val dhtSecretKey = DhtSecretKey(dhtInput) +``` +## Questions: + 1. What is the purpose of this code? +- This code defines traits and case classes for secret keys used in Sigma protocols. + +2. What Sigma protocols are supported by this code? +- The code supports Sigma protocols that use DLogProverInput and DiffieHellmanTupleProverInput. + +3. What is the difference between DlogSecretKey and DhtSecretKey? +- DlogSecretKey represents the secret exponent of a group element, while DhtSecretKey represents the secret exponent of a Diffie-Hellman tuple. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.md new file mode 100644 index 0000000000..4ce07dbfdb --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets/summary.md @@ -0,0 +1,35 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/secrets) + +The code in this folder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, which allows users to generate an unlimited number of public keys from a single seed, making it easier to manage multiple cryptocurrency assets. + +`DerivationPath.scala` defines a class for representing and manipulating HD key derivation paths. It provides methods for encoding and decoding paths, converting paths to public or private branches, finding the next available path index for a new key, and checking if a path corresponds to a specific derivation path. This class can be used to generate new keys for transactions or to manage keys in a wallet. + +`ExtendedKey.scala` defines a trait for representing extended private and public keys in a cryptocurrency wallet. It provides methods for computing child keys from parent keys and representing extended keys as tuples of the key and chain code. This trait can be extended to provide implementations for specific cryptocurrencies such as Bitcoin or Ethereum. + +Example usage: + +```scala +// create a Bitcoin extended private key +val privateKey = new BitcoinExtendedPrivateKey(k, c, path) + +// derive a child key from the parent key +val childKey = privateKey.derive(DerivationPath("m/0/1")) +``` + +`ExtendedPublicKey.scala` and `ExtendedSecretKey.scala` define classes for representing public and secret keys, their chain codes, and their paths in a key tree. They provide methods for deriving child keys, computing public keys, and checking if a key is erased. These classes are used to generate and manage keys in the larger wallet system. + +`Index.scala` provides utility functions for managing and manipulating indexes, such as creating hardened indexes, checking if an index is hardened, and serializing and parsing indexes. These functions ensure consistency and compatibility when working with indexes in other parts of the project. + +`SecretKey.scala` defines a set of traits and classes for handling secret keys in the wallet. It provides a basic framework for handling secret data, encapsulating a corresponding private input for a Sigma protocol. Instances of `PrimitiveSecretKey` can be created to represent secret exponents of group elements in discrete logarithm groups or Diffie-Hellman tuples, which can then be used in other parts of the wallet to perform various cryptographic operations. + +Example usage: + +```scala +val dlogInput = DLogProverInput(...) +val dlogSecretKey = DlogSecretKey(dlogInput) + +val dhtInput = DiffieHellmanTupleProverInput(...) +val dhtSecretKey = DhtSecretKey(dhtInput) +``` + +Overall, the code in this folder is crucial for managing keys and key derivation paths in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.md new file mode 100644 index 0000000000..392b57479d --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.md @@ -0,0 +1,33 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/EncryptionSettings.scala) + +The code above defines a Scala package called `org.ergoplatform.sdk.wallet.settings` that contains a case class called `EncryptionSettings` and two implicit objects that implement the `Encoder` and `Decoder` traits from the `io.circe` library. + +The `EncryptionSettings` case class has three parameters: `prf`, `c`, and `dkLen`. These parameters are used to define the encryption parameters for a password-based key derivation function (PBKDF2). The `prf` parameter is a string that represents the pseudo-random function used by the PBKDF2 algorithm. The `c` parameter is an integer that represents the number of iterations used by the PBKDF2 algorithm. The `dkLen` parameter is an integer that represents the desired bit-length of the derived key. + +The `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. This object defines a `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object that represents the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`. The values of these fields are obtained from the corresponding parameters of the `EncryptionSettings` instance. + +The `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. This object defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance that represents the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object that represents the `EncryptionSettings` instance. The `as` method is used to extract the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class. + +This code is used to define the encryption parameters for the PBKDF2 algorithm used by the larger project. The `EncryptionSettings` case class can be used to create instances of the encryption parameters, and the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects can be used to convert instances of the `EncryptionSettings` case class to and from JSON format. This allows the encryption parameters to be stored and retrieved from a file or database. + +Example usage: + +```scala +val encryptionSettings = EncryptionSettings("HmacSHA256", 10000, 256) +val json = encryptionSettings.asJson +val jsonString = json.noSpaces +// Store jsonString in a file or database + +// Retrieve jsonString from a file or database +val json = parser.parse(jsonString).getOrElse(Json.Null) +val encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception("Invalid JSON")) +``` +## Questions: + 1. What is the purpose of the `EncryptionSettings` class? +- The `EncryptionSettings` class represents encryption parameters, including the pseudo-random function, number of PBKDF2 iterations, and desired bit-length of the derived key. + +2. What is the purpose of the `EncryptionSettingsEncoder` and `EncryptionSettingsDecoder` objects? +- The `EncryptionSettingsEncoder` object provides a way to encode `EncryptionSettings` objects as JSON, while the `EncryptionSettingsDecoder` object provides a way to decode JSON into `EncryptionSettings` objects. + +3. Why is the `cats.syntax.either._` import needed? +- The `cats.syntax.either._` import is needed for compatibility with Scala 2.11. \ No newline at end of file diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.md new file mode 100644 index 0000000000..65fba31f31 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings/summary.md @@ -0,0 +1,30 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/settings) + +The `EncryptionSettings.scala` file is part of the `org.ergoplatform.sdk.wallet.settings` package and provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. The main purpose of this code is to define the encryption parameters, store them in a JSON format, and retrieve them when needed. + +The `EncryptionSettings` case class has three parameters: + +- `prf`: A string representing the pseudo-random function used by the PBKDF2 algorithm. +- `c`: An integer representing the number of iterations used by the PBKDF2 algorithm. +- `dkLen`: An integer representing the desired bit-length of the derived key. + +The `EncryptionSettingsEncoder` object implements the `Encoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes an instance of `EncryptionSettings` and returns a JSON object representing the instance. The JSON object has three fields: `prf`, `c`, and `dkLen`, with values obtained from the corresponding parameters of the `EncryptionSettings` instance. + +The `EncryptionSettingsDecoder` object implements the `Decoder` trait for the `EncryptionSettings` case class. It defines an `apply` method that takes a `HCursor` instance and returns a `Decoder.Result` instance representing the `EncryptionSettings` instance. The `HCursor` instance is used to navigate the JSON object representing the `EncryptionSettings` instance, and the `as` method extracts the values of the `prf`, `c`, and `dkLen` fields from the JSON object. These values are then used to create a new instance of the `EncryptionSettings` case class. + +This code can be used in the larger project to define encryption parameters for the PBKDF2 algorithm, store them in a JSON format, and retrieve them when needed. This allows the encryption parameters to be stored and retrieved from a file or database. + +Example usage: + +```scala +val encryptionSettings = EncryptionSettings("HmacSHA256", 10000, 256) +val json = encryptionSettings.asJson +val jsonString = json.noSpaces +// Store jsonString in a file or database + +// Retrieve jsonString from a file or database +val json = parser.parse(jsonString).getOrElse(Json.Null) +val encryptionSettings = json.as[EncryptionSettings].getOrElse(throw new Exception("Invalid JSON")) +``` + +In summary, the `EncryptionSettings.scala` file provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.md new file mode 100644 index 0000000000..4fba1faeaa --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet/summary.md @@ -0,0 +1,49 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet) + +The code in the `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform/sdk/wallet` folder provides essential functionality for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It consists of several Scala files and subfolders, each focusing on a specific aspect of the wallet. + +`AssetUtils.scala` provides utility functions for working with token assets in the Ergo blockchain. It offers functions like `mergeAssetsMut`, `mergeAssets`, `subtractAssets`, and `subtractAssetsMut` for merging and subtracting token amounts in `TokensMap`. These functions can be used in various parts of the project, such as in the wallet or in smart contracts that deal with tokens. + +`Constants.scala` defines a set of constants used throughout the Ergo Platform SDK wallet, ensuring consistency and standardization in the wallet's functionality. Developers can use these constants in their own code to ensure compatibility with the wallet. + +The `protocol` subfolder contains code responsible for managing and validating transactions on the Ergo platform. It provides developers with the necessary tools and context to work with adjustable blockchain parameters, transaction validation, and spending transaction execution. + +The `secrets` subfolder provides functionality for handling secret keys, extended keys, and key derivation paths in the Ergo Platform SDK wallet. It is essential for generating and managing keys in a hierarchical deterministic (HD) wallet, allowing users to efficiently manage multiple cryptocurrency assets. + +The `settings` subfolder contains the `EncryptionSettings.scala` file, which provides a case class and JSON encoding/decoding functionality for encryption settings used in the PBKDF2 algorithm. This allows the larger project to store and retrieve encryption parameters in a JSON format, making it easier to manage and maintain the encryption settings. + +Example usage of `AssetUtils`: + +```scala +val initialMap: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 100L +) +val map1: TokensMap = Map( + ModifierId @@ Array.fill(32)(1.toByte) -> 50L +) +val map2: TokensMap = Map( + ModifierId @@ Array.fill(32)(0.toByte) -> 25L +) +val merged: TokensMap = AssetUtils.mergeAssets(initialMap, map1, map2) +// merged contains: +// Map( +// ModifierId @@ Array.fill(32)(0.toByte) -> 125L, +// ModifierId @@ Array.fill(32)(1.toByte) -> 50L +// ) +``` + +Example usage of `Constants`: + +```scala +import org.ergoplatform.sdk.wallet.Constants + +val coinType = Constants.CoinType +val maxAssets = Constants.MaxAssetsPerBox +val preEip3Path = Constants.preEip3DerivationPath +val eip3Path = Constants.eip3DerivationPath +val sentenceSizes = Constants.MnemonicSentenceSizes +val allowedStrengths = Constants.AllowedStrengths +val allowedLengths = Constants.AllowedEntropyLengths +``` + +In summary, the code in this folder is crucial for managing keys, key derivation paths, encryption settings, and transactions in the Ergo Platform SDK wallet. It provides a foundation for generating and managing keys in a hierarchical deterministic wallet, allowing users to efficiently manage multiple cryptocurrency assets. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/summary.md new file mode 100644 index 0000000000..7e99f80096 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/ergoplatform/summary.md @@ -0,0 +1,43 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform) + +The folder `.autodoc/docs/json/sdk/shared/src/main/scala/org/ergoplatform` contains the Scala source code for the shared components of the Ergo Platform SDK. These components are essential for the functioning of the Ergo Platform and can be used by other parts of the project or external applications that interact with the Ergo blockchain. + +Here is a brief overview of the files and subfolders in this folder: + +### Files + +1. `ErgoLikeContext.scala`: This file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + + Example usage: + + ```scala + val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) + ``` + +2. `ErgoLikeTransaction.scala`: This file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + + Example usage: + + ```scala + val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) + ``` + +3. `ErgoBox.scala`: This file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + + Example usage: + + ```scala + val box = ErgoBox(value, script, additionalRegisters) + ``` + +### Subfolders + +1. `appkit`: This subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +2. `ergoWallet`: This subfolder contains the source code for the Ergo Wallet, a component that manages the user's private keys and allows them to create and sign transactions. It includes classes for key management, address generation, and transaction signing. + +3. `nodeView`: This subfolder contains the source code for the Node View component, which is responsible for managing the local view of the Ergo blockchain. It includes classes for managing the state of the blockchain, the transaction pool, and the history of the blockchain. + +4. `settings`: This subfolder contains the source code for the Settings component, which is responsible for managing the configuration of the Ergo Platform. It includes classes for parsing configuration files and managing runtime settings. + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/summary.md new file mode 100644 index 0000000000..bd3e3974ea --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/org/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala/org) + +The code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + +Example usage: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +Similarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + +Example usage: + +```scala +val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) +``` + +The `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + +Example usage: + +```scala +val box = ErgoBox(value, script, additionalRegisters) +``` + +The subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/scala/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/scala/summary.md new file mode 100644 index 0000000000..30ffe99c23 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/scala/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main/scala) + +The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + +Example usage: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +Similarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + +Example usage: + +```scala +val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) +``` + +The `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + +Example usage: + +```scala +val box = ErgoBox(value, script, additionalRegisters) +``` + +The subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/shared/src/main/summary.md b/.autodoc/docs/markdown/sdk/shared/src/main/summary.md new file mode 100644 index 0000000000..80a6658adc --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/main/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src/main) + +The code in the `.autodoc/docs/json/sdk/shared/src/main/scala` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + +Example usage: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +Similarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + +Example usage: + +```scala +val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) +``` + +The `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + +Example usage: + +```scala +val box = ErgoBox(value, script, additionalRegisters) +``` + +The subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/shared/src/summary.md b/.autodoc/docs/markdown/sdk/shared/src/summary.md new file mode 100644 index 0000000000..13220f0e65 --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/src/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared/src) + +The code in the `.autodoc/docs/json/sdk/shared/src` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + +Example usage: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +Similarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + +Example usage: + +```scala +val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) +``` + +The `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + +Example usage: + +```scala +val box = ErgoBox(value, script, additionalRegisters) +``` + +The subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/shared/summary.md b/.autodoc/docs/markdown/sdk/shared/summary.md new file mode 100644 index 0000000000..18181b830e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/shared/summary.md @@ -0,0 +1,31 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk/shared) + +The code in the `.autodoc/docs/json/sdk/shared` folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain. It contains information such as the current height of the blockchain, the transaction's inputs and outputs, and the data inputs. This class is used in various parts of the project, such as transaction validation and smart contract execution. + +Example usage: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +Similarly, the `ErgoLikeTransaction.scala` file defines the `ErgoLikeTransaction` case class, which represents a transaction in the Ergo blockchain. It contains information such as the transaction's inputs, outputs, and data inputs. This class is used in various parts of the project, such as transaction creation and validation. + +Example usage: + +```scala +val tx = ErgoLikeTransaction(inputs, dataInputs, outputs) +``` + +The `ErgoBox.scala` file defines the `ErgoBox` case class, which represents a box (i.e., an unspent transaction output) in the Ergo blockchain. It contains information such as the box's value, the script that locks the box, and any additional registers that store custom data. This class is used in various parts of the project, such as transaction creation and smart contract execution. + +Example usage: + +```scala +val box = ErgoBox(value, script, additionalRegisters) +``` + +The subfolders in this folder contain additional components that are essential for the functioning of the Ergo Platform. For example, the `appkit` subfolder contains the source code for the Ergo Appkit, a set of utility classes and functions that simplify the development of applications that interact with the Ergo blockchain. It includes classes for managing wallets, creating and signing transactions, and working with ErgoScript (the smart contract language used by Ergo). + +In summary, the code in this folder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. diff --git a/.autodoc/docs/markdown/sdk/summary.md b/.autodoc/docs/markdown/sdk/summary.md new file mode 100644 index 0000000000..841c51414e --- /dev/null +++ b/.autodoc/docs/markdown/sdk/summary.md @@ -0,0 +1,20 @@ +[View code on GitHub](sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter/.autodoc/docs/json/sdk) + +The `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The folder is organized into two subfolders: `js` and `shared`. + +The `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, such as transaction processing, block headers, and ErgoScript types. For example, the `ErgoTree.scala` file allows developers to convert ErgoTree objects, which represent smart contracts, to and from bytes and hexadecimal strings: + +```javascript +const ergoTree = ErgoTrees.fromHex(hexString); +const ergoTreeBytes = ergoTree.toBytes(); +``` + +The `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. The shared components include classes for managing transactions, boxes, and the context of the Ergo blockchain, as well as utility classes for application development, wallet management, and node view management. + +For instance, the `ErgoLikeContext.scala` file defines the `ErgoLikeContext` case class, which represents the context of a transaction in the Ergo blockchain: + +```scala +val ctx = ErgoLikeContext(currentHeight, spendingTransaction, dataInputs) +``` + +In summary, the `.autodoc/docs/json/sdk` folder contains essential components for working with the Ergo blockchain platform, enabling developers to build and interact with ErgoScript applications seamlessly. The `js` subfolder provides JavaScript-friendly implementations of various Ergo platform components, while the `shared` subfolder provides the core functionality for the Ergo Platform SDK, which can be used by other parts of the project or external applications that interact with the Ergo blockchain. diff --git a/autodoc.config.json b/autodoc.config.json new file mode 100644 index 0000000000..dd181e295d --- /dev/null +++ b/autodoc.config.json @@ -0,0 +1,30 @@ +{ + "name": "", + "repositoryUrl": "sigmastate-interpreterhttps://github.com/ScorexFoundation/sigmastate-interpreter", + "root": ".", + "output": "./.autodoc", + "llms": [ + "gpt-3.5-turbo", + "gpt-4" + ], + "ignore": [ + ".*", + "*package-lock.json", + "*package.json", + "node_modules", + "*dist*", + "*build*", + "*test*", + "*.svg", + "*.md", + "*.mdx", + "*.toml", + "*autodoc*" + ], + "filePrompt": "Write a detailed technical explanation of what this code does. \n Focus on the high-level purpose of the code and how it may be used in the larger project.\n Include code examples where appropriate. Keep you response between 100 and 300 words. \n DO NOT RETURN MORE THAN 300 WORDS.\n Output should be in markdown format.\n Do not just list the methods and classes in this file.", + "folderPrompt": "Write a technical explanation of what the code in this file does\n and how it might fit into the larger project or work with other parts of the project.\n Give examples of how this code might be used. Include code examples where appropriate.\n Be concise. Include any information that may be relevant to a developer who is curious about this code.\n Keep you response under 400 words. Output should be in markdown format.\n Do not just list the files and folders in this folder.", + "chatPrompt": "", + "contentType": "code", + "targetAudience": "smart developer", + "linkHosted": true +} \ No newline at end of file